Introduction
The primes 𝑝0 =2,𝑝1 =3,…
define the dyadic series
Π=∑𝑛≥0𝑝𝑛2𝑛+1=2/2+3/4+5/8+7/16+⋯.
Its irrationality is Erdős
Problem #251 [22],
recorded in [1], [2] and [4]. Writing 𝑔𝑛 =𝑝𝑛+1 −𝑝𝑛, summation by parts gives
Π =2 +∑𝑛𝑔𝑛2−(𝑛+1). We use
this identity to compare what can be deduced from properties of the
coefficients with what would be needed from the actual prime-gap
tails.
Theorem 2.1
shows that a substantial collection of coefficient properties does not
determine rationality among comparison sequences. Starting with any
convergent nonnegative integer dyadic series, it attains an interval of
sums using corrections on one sparse set. That set and every eventual
coefficient and partial-sum congruence cutoff are fixed before the
target. The family therefore contains both rational and irrational sums,
not merely a separately chosen example for each preserved property. The
corrections can respect any prescribed bound tending to infinity.
At each stage a fixed ordinary correction total protects the
congruence calculations at later stages. Redistributing that total
between adjacent indices changes its dyadic contribution. Growing digit
ranges compensate for the dyadic decay across the increasingly separated
stages. A telescoping estimate then ensures that the remaining range
spans every gap between adjacent present choices. With a polylogarithmic
correction bound, the empirical block laws remain asymptotically equal
for lengths 𝑜(loglog𝑋) sampled
in [𝑋,2𝑋). For prime gaps,
polynomial nonconcentration and cumulative growth 𝑛log𝑛 also survive. The missing
requirement is that the cumulative positions be consecutive primes;
neither residues nor these statistics supply it.
The actual-prime arguments, beginning in Section 4, are independent
of the construction. Summation by parts and a vanishing boundary
condition identify the complete tails. Integral shifts then give exact
rationality criteria; two consecutive small differences with unequal
gaps give a sufficient condition for irrationality. Section 6
certifies individual differences, while Section 7
excludes finite ranges of rational denominators. Neither finite
calculation supplies arbitrarily late witnesses. Section 8 tests
weaker coefficient conditions by counterexamples; the appendices retain
the integer calculations, further criteria and source concordance.
For reference, the first primes and gaps are
𝑖0123456789𝑝𝑖2357111317192329𝑔𝑖1224242462
Thus 𝑔0 =1 and
all later gaps are even. This parity restriction will be used to
characterise two consecutive tail differences of absolute value less
than one. The alternative normalisation with denominator 2𝑖 satisfies
𝑛−1∑𝑖=0𝑝𝑖2𝑖=2𝑛−1∑𝑖=0𝑝𝑖2𝑖+1,
so it has the same
rationality status. The formal
factor-of-two identity uses these same finite sums.
Notation.
We write ℕ ={0,1,…}, use
𝜑 for Euler’s totient function,
and let den𝑞 be the
positive denominator of 𝑞 ∈ℚ in
lowest terms. A real number is integral if it belongs to ℤ, and dist(𝑥,ℤ) is its distance
to the nearest integer. A sequence is eventually periodic with period
ℎ ≥1 if 𝑎𝑛+ℎ =𝑎𝑛 for every sufficiently large
𝑛. A set of indices has density
zero if its counting function is 𝑜(𝑥), and a property holds for almost all
indices if its exceptional set has density zero. A property may hold at
arbitrarily large indices even when those indices form a set of density
zero. An empty sum is zero.
Sparse congruence-preserving perturbations
At indices 𝑛,𝑛 +1, the pairs
(0,6),(2,4),(4,2),(6,0) all have
ordinary sum 6, while their dyadic
contributions are 6,8,10,12 divided
by 2𝑛+2. If the cumulative
correction before the pair is odd, we first add 1 at 𝑛 −1. Choosing the pair then leaves the
cumulative residue after the triple unchanged. We repeat this operation
with nested moduli eventually divisible by every fixed integer.
Finite changes alone preserve rationality, so we use infinitely many
triples. Making their separations tend to infinity gives upper Banach
density zero, but also makes each weighted contribution smaller. We
compensate by increasing the range of choices inside a pair. The
estimate (5) shows
that all later ranges together cover the gap between adjacent choices at
the current stage. The set containing the supports and the interval of
sums are chosen before the value to be attained.
Density and block conventions.
All intervals of indices contain integers, and log is natural unless a base is
displayed. Upper Banach density zero means
lim𝐻→∞sup𝑢∈ℕ|𝑆∩[𝑢,𝑢+𝐻)|𝐻=0.
For integers 𝑋 ≥1 and 𝑚 ≥1, let 𝜇𝑎,𝑋,𝑚 be the empirical probability
measure obtained by choosing an integer 𝑛 ∈[𝑋,2𝑋) uniformly and observing (𝑎𝑛,…,𝑎𝑛+𝑚−1). The entries are
not rescaled, and equal blocks are counted once for each starting index.
We use 𝑑TV(𝜇,𝜈) =sup𝐵|𝜇(𝐵) −𝜈(𝐵)|, with the supremum over all
sets of blocks. For the same function of the block, bounded in absolute
value by 𝐵0, its means under the
two measures differ by at most 2𝐵0𝑑TV(𝜇,𝜈). No rescaling of the coefficients is implicit.
Theorem 2.1 (sparse changes preserving congruences).
Let 𝑎𝑛 ∈ℕ and 𝐴 =∑𝑛≥0𝑎𝑛2−𝑛−1 <∞. For
every cutoff 𝐾 and every 𝑓 :ℕ →ℝ tending to infinity, there are
a set 𝑆 ⊆[𝐾,∞) of upper
Banach density zero and a nondegenerate interval 𝐼 ⊂(𝐴,∞) with the following
property. Every 𝑟 ∈𝐼 has the form
𝑟=∑𝑛≥0(𝑎𝑛+𝑒𝑛)2−𝑛−1,
where 𝑒𝑛 ∈ℕ is supported on
𝑆, 𝑒𝑛 ≤𝑓(𝑛) eventually, and, for every
integer 𝑞 ≥1, there is an 𝑁𝑞, chosen independently of 𝑟, such that
𝑞∣𝑒𝑛and𝑞∣∑𝑖<𝑛𝑒𝑖(𝑛≥𝑁𝑞).
For every 𝜀 >0, the construction can
instead be chosen with 𝑒𝑛 ≤(log(𝑛 +3))𝜀 eventually
and |𝑆 ∩[𝑋,2𝑋)| =𝑂𝜀(𝑋/loglog𝑋). In that case the empirical distributions of original and
corrected unnormalised blocks of length 𝑚(𝑋) =𝑜(loglog𝑋), sampled at the same
integer starts in [𝑋,2𝑋), have
total variation distance tending to zero, uniformly over 𝑟. Precisely the coupling error is at
most 𝑚|𝑆 ∩[𝑋,2𝑋 +𝑚)|/𝑋; with ‖Φ‖∞ ≤𝐵0 the bounded-test
error is at most twice this quantity times 𝐵0, also for tests depending on the
starting index.
The hypotheses allow any nonnegative integer sequence of polynomial
growth, but not 𝑎𝑛 =2𝑛, whose
dyadic series diverges. The bound on the corrections can grow as slowly
as loglog(𝑛 +3). A fixed bound is
not possible here: eventual boundedness together with eventual
divisibility by every fixed modulus would make the corrections
eventually zero; their fixed total would then have to be divisible by
every modulus and hence be zero. Nonnegative corrections could not
change the sum. The cutoff may depend on the modulus, but the common set
𝑆 and all cutoffs are fixed before
the target. The support of a correction may occupy only part of 𝑆. Upper Banach density zero is stronger
than ordinary density zero. For example, the union of the integer
intervals [𝑘!,𝑘! +𝑘), 𝑘 ≥3, has ordinary density zero but
upper Banach density one. If 𝑘! ≤𝑥 <(𝑘 +1)!, at most 𝑘(𝑘 +1)/2 indices have occurred, so their
proportion is at most 𝑘(𝑘 +1)/(2𝑘!) →0. Nevertheless each
interval is filled and their lengths are unbounded. Upper Banach density
zero rules out this concentration in long intervals, however far apart
those intervals lie.
Proof. Fixed totals. Use 𝑛𝑗 −1 to cancel a cumulative residue and
𝑛𝑗,𝑛𝑗 +1 for a pair with fixed
ordinary sum. Varying the pair changes its weighted contribution without
altering any later residue to be cancelled. Choose an initial index
𝑛−1 ≥𝐾 and centres with 𝑠𝑗 =𝑛𝑗 −𝑛𝑗−1 ≥4, so the triples do
not overlap. Let 𝑀𝑗 be positive
integers with 𝑀𝑗 ∣𝑀𝑗+1, and
let 𝐷𝑗 bound the digit at stage
𝑗. The spacing, moduli and digit
bounds will be chosen below.
Let 𝐶𝑗 record the ordinary
correction before the 𝑗th triple.
Starting from 𝐶0 =0, prescribe
𝑐𝑗=(−𝐶𝑗)mod𝑀𝑗(0≤𝑐𝑗<𝑀𝑗),𝐶𝑗+1=𝐶𝑗+𝑐𝑗+𝑀𝑗𝐷𝑗.
For integers 0 ≤𝑑𝑗 ≤𝐷𝑗, set
𝑒𝑛𝑗−1=𝑐𝑗,𝑒𝑛𝑗=𝑀𝑗𝑑𝑗,𝑒𝑛𝑗+1=𝑀𝑗(𝐷𝑗−𝑑𝑗),(1)
and put 𝑒𝑛 =0 elsewhere. The two sums of a triple
are
𝑛𝑗+1∑𝑟=𝑛𝑗−1𝑒𝑟=𝑐𝑗+𝑀𝑗𝐷𝑗,𝑛𝑗+1∑𝑟=𝑛𝑗−1𝑒𝑟2−𝑟−1=𝑐𝑗2−𝑛𝑗+𝑀𝑗𝐷𝑗2−𝑛𝑗−2+𝑑𝑗𝑀𝑗2−𝑛𝑗−2.
The ordinary total contains no 𝑑𝑗, so the recurrence fixes every 𝑐𝑗 in advance. In the weighted total
only the last term varies: transferring 𝑀𝑗 from 𝑛𝑗 +1 to 𝑛𝑗 adds
𝑤𝑗=𝑀𝑗2−𝑛𝑗−2.
After 𝑐𝑗 has been inserted, the
cumulative correction is divisible by 𝑀𝑗; the two entries of the pair preserve
this divisibility. Fix 𝑞 ∣𝑀𝐽.
At index 𝑛𝐽 both the coefficient
correction and the cumulative correction are divisible by 𝑞. At every later triple, 𝑞 divides 𝐶𝑗 and 𝑀𝑗, so it also divides 𝑐𝑗 and both pair entries. The
intervening corrections are zero. Hence
𝑞∣𝑒𝑛,𝑞∣∑𝑖<𝑛𝑒𝑖(𝑛≥𝑛𝐽).
The entry 𝑐𝐽 need
not be divisible by 𝑞, which is why
it is placed at 𝑛𝐽 −1, before the
cutoff. The index 𝑛𝐽 depends on
𝑞 and the chosen moduli, but not on
the digits or the value to be attained.
Spacing and size. The choices at stage 𝑗 are 0,𝑤𝑗,…,𝐷𝑗𝑤𝑗. The covering
argument will work if the later ranges total at least 𝑤𝑗. Taking 𝐷𝑖 =2𝑠𝑖 −1 compensates for separation
by making each later range a scaled dyadic difference:
𝐷𝑖𝑤𝑖=(2𝑛𝑖−𝑛𝑖−1−1)𝑀𝑖2−𝑛𝑖−2=𝑀𝑖(2−𝑛𝑖−1−2−2−𝑛𝑖−2).
Because 𝑀𝑖 ≥𝑀𝑗 for 𝑖 >𝑗, replacing every later modulus by
𝑀𝑗 gives the finite estimate
𝐽∑𝑖=𝑗+1𝐷𝑖𝑤𝑖≥𝑀𝑗𝐽∑𝑖=𝑗+1(2−𝑛𝑖−1−2−2−𝑛𝑖−2)=𝑤𝑗−𝑀𝑗2−𝑛𝐽−2(𝐽>𝑗).(2)
No monotonicity of the weights is needed. Each
entry of (1) is at
most 𝑀𝑗2𝑠𝑗, so the size cost
of separating the stages is exponential. We must fit this product below
the allowance at all three indices, while 𝑠𝑗 →∞ and every fixed positive
integer eventually divides 𝑀𝑗.
To allow a nonmonotone bound 𝑓,
put
ℎ(𝑛)=inf𝑚≥𝑛min(𝑓(𝑚),𝑚).
This nondecreasing lower envelope tends to
infinity even when 𝑓 oscillates. A
bound at 𝑛𝑗−1 therefore controls
all three later coordinates; the cap by 𝑚 ensures 𝑒𝑛 ≤𝑛 and hence summability for every
digit choice. Enlarge 𝑛−1 ≥𝐾
until ℎ(𝑛−1) ≥32, and set
𝑘𝑗=max{𝑘≥2:𝑘!2𝑘+2≤ℎ(𝑛𝑗−1)},𝑀𝑗=𝑘𝑗!,𝑠𝑗=𝑘𝑗+2,𝑛𝑗=𝑛𝑗−1+𝑠𝑗.(3)
The maximum exists: 𝑘 =2 is admissible because 2!24 =32, and 𝑘!2𝑘+2 →∞. Since 𝑛𝑗 →∞ and ℎ is nondecreasing and divergent, 𝑘𝑗 is nondecreasing and tends to
infinity. Thus 𝑀𝑗 ∣𝑀𝑗+1,
every fixed 𝑞 eventually divides
𝑀𝑗 =𝑘𝑗!, and 𝑠𝑗 =𝑘𝑗 +2 →∞. At every coordinate
𝑛 of the 𝑗th triple, this schedule also gives
0≤𝑒𝑛≤𝑀𝑗2𝑠𝑗≤ℎ(𝑛𝑗−1)≤min(𝑓(𝑛),𝑛).
Let 𝑆 =⋃𝑗≥0{𝑛𝑗 −1,𝑛𝑗,𝑛𝑗 +1}. For
𝑅 ≥4, all sufficiently late
centres are at least 𝑅 apart. Every
interval of length 𝐻 contains at
most 3(𝐻/𝑅 +2) points from those
triples; the earlier triples add a fixed number, independent of the
interval’s position. Divide by 𝐻,
take the supremum over positions, then let 𝐻 →∞. The limiting upper bound is
3/𝑅; letting 𝑅 →∞ proves upper Banach density
zero.
Attaining the interval. The support and congruence
requirements are now settled independently of the target. Only the
digits remain to be chosen. Define
𝛽=∑𝑗≥0(𝑐𝑗2−𝑛𝑗+𝐷𝑗𝑤𝑗),𝐹𝑗=∑𝑖≥𝑗𝐷𝑖𝑤𝑖.
Even zero digits contribute 𝛽 >0; 𝐹𝑗 is the maximum variable contribution
from stage 𝑗 onwards. The size
bound makes both finite, with 𝐹0 >0 and 𝐹𝑗 →0. The total correction is
∑𝑛𝑒𝑛2−𝑛−1=𝛽+∑𝑗𝑑𝑗𝑤𝑗.(4)
Taking 𝐽 →∞ in (2) now
gives
𝐹𝑗+1≥𝑀𝑗2−𝑛𝑗−2=𝑤𝑗.(5)
These bounds do not yet prove that every point
of [0,𝐹𝑗] is attained. A digit
𝑑 leaves a remainder in [0,𝐹𝑗+1] precisely for current
remainders in
[𝑑𝑤𝑗,𝑑𝑤𝑗+𝐹𝑗+1],𝑑=0,…,𝐷𝑗.
These intervals meet or overlap by (5), and
their union is [0,𝐹𝑗] because
𝐹𝑗 =𝐷𝑗𝑤𝑗 +𝐹𝑗+1.
Given 𝑥 ∈[0,𝐹0], start with
𝜌0 =𝑥. Having chosen the first
𝑗 digits, choose 𝑑𝑗 so that
𝜌𝑗+1=𝜌𝑗−𝑑𝑗𝑤𝑗∈[0,𝐹𝑗+1].
The covering just proved makes this possible at every stage. Since 0 ≤𝜌𝑗 ≤𝐹𝑗 and 𝐹𝑗 →0, we obtain
𝑥−𝑗∑𝑖=0𝑑𝑖𝑤𝑖=𝜌𝑗+1⟶0.
Thus every 𝑥 ∈[0,𝐹0] is attained,
and we may take 𝐼 =(𝐴 +𝛽,𝐴 +𝛽 +𝐹0). The target 𝑟 ∈𝐼 determines only the digits,
through 𝑥 =𝑟 −𝐴 −𝛽; it changes
neither 𝑆, 𝐼 nor the cutoff 𝑁𝑞 =𝑛𝐽 chosen using 𝑞 ∣𝑀𝐽. This is the finite-choice
covering argument of [27]: the 𝑗th choice set has largest gap 𝑤𝑗 and diameter 𝐷𝑗𝑤𝑗, its maxima are summable, and the
sum of subsequent diameters is at least 𝑤𝑗. Equality is allowed. Fridy’s
generalised-base lemma [9] and the reciprocal-choice argument in
[11] are
antecedents. The finite-choice argument uses (5); the
required comparison of moduli was checked in (2).
The logarithmic scale. For 𝑓(𝑛) =(log(𝑛 +3))𝜀, the size
cost 2𝑠𝑗 leads to the iterated
logarithm. We choose separations of order loglog𝑛𝑗 and reserve part of the
allowance for growing moduli. Keep the same triples and 𝐷𝑗 =2𝑠𝑗 −1, and set
𝑠𝑗=⌊𝜀2log2log(𝑛𝑗−1+3)⌋,𝑘𝑗=max{𝑘≥2:𝑘!≤(log(𝑛𝑗−1+3))𝜀/4},(6)
with 𝑀𝑗 =𝑘𝑗! and 𝑛𝑗 =𝑛𝑗−1 +𝑠𝑗. Start far enough out
that 𝑠𝑗 ≥4 and all choices exist.
The exponents 𝜀/4 and
𝜀/2 add to 3𝜀/4 <𝜀, so the
corrections satisfy the prescribed bound:
𝑀𝑗2𝑠𝑗≤(log(𝑛𝑗−1+3))3𝜀/4≤(log(𝑛+3))𝜀
at each coordinate
𝑛 of the triple. After enlarging
the initial index, this is also at most 𝑛. The moduli remain nested, and every
fixed positive integer divides all sufficiently late moduli.
Summability, the congruence induction and (2)
therefore apply without change. Since 𝑠𝑗 ≍𝜀loglog𝑛𝑗, the
relevant centres near [𝑋,2𝑋) are
separated by ≫𝜀loglog𝑋. Each contributes at most three support points, giving
|𝑆∩[𝑋,2𝑋)|=𝑂𝜀(𝑋/loglog𝑋).
Choose the same uniform starting index 𝑛 ∈[𝑋,2𝑋) for both blocks. They agree
when the block avoids 𝑆. A changed
coordinate 𝑡 ∈𝑆 ∩[𝑋,2𝑋 +𝑚)
affects only starts in [𝑡 −𝑚 +1,𝑡],
at most 𝑚 choices. The union bound
gives
𝑑TV(𝜇𝑎,𝑋,𝑚,𝜇𝑎+𝑒,𝑋,𝑚)≤ℙ(𝑒𝑛+𝑖≠0 for some 0≤𝑖<𝑚)≤𝑚|𝑆∩[𝑋,2𝑋+𝑚)|𝑋.
For 𝑚 ≤𝑋,
two dyadic bands cover [𝑋,2𝑋 +𝑚),
giving 𝑂𝜀(𝑚/loglog𝑋).
A block of length 𝑜(loglog𝑋)
therefore avoids 𝑆 with probability
tending to one. The convergence is uniform over targets because the same
𝑆 contains every correction
support. For a test bounded in absolute value by 𝐵0 that also depends on the starting
index, the coupled values agree at unchanged blocks and differ by at
most 2𝐵0 elsewhere. Their mean
difference is consequently at most 2𝐵0𝑚|𝑆 ∩[𝑋,2𝑋 +𝑚)|/𝑋. This uses the
common starting index, not merely the marginal distributions. No
limiting distribution, randomness or independence of the original
coefficients is assumed. ◻
Identical marginal distributions alone would not control an
index-dependent test. For example, let 𝑎𝑛 =𝑛mod2 and 𝑏𝑛 =1 −𝑎𝑛. For every even 𝑋, their one-coordinate empirical
distributions on [𝑋,2𝑋) are equal,
but the test 𝟏{𝑥=𝑛mod2} has mean 1 for (𝑛,𝑎𝑛) and 0 for (𝑛,𝑏𝑛). This example is not a sparse
perturbation; it isolates why the proof couples blocks at the same
index.
The estimate gives a sufficient scale, not an optimal threshold. It
tends to zero for fixed block lengths and for 𝑚(𝑋) =⌊√loglog𝑋⌋, but
gives no vanishing error for 𝑚
comparable to loglog𝑋. Its error
is also absolute, not relative: probabilities 1/log𝑋 and 0 differ by 𝑜(1) despite the disappearance of the
event. Relative preservation would require an error small compared with
the event’s probability. Finally, agreement on a finite block does not
identify its complete weighted tail; later coefficients still
contribute.
Corollary 2.2 (target intervals arbitrarily close to
the original sum). For the sparse theorem for an arbitrary
sequence, the target interval can additionally be required to lie in
(𝐴,𝐴 +𝜂) for any prescribed 𝜂 >0.
Proof. In the construction for a general bound 𝑓, every nonzero correction satisfies
𝑒𝑛 ≤𝑛. Choose an integer 𝐾′ ≥𝐾 sufficiently large that ∑𝑛≥𝐾′𝑛2−(𝑛+1) =(𝐾′ +1)2−𝐾′ <𝜂, and start the
construction beyond 𝐾′. This
still leaves the originally prescribed prefix unchanged. The complete
interval of corrections has positive lower endpoint and upper endpoint
at most this sum. Here 𝜂 is
chosen before the construction, so the common support and interval may
depend on 𝜂. Within that
interval only the digits depend on the target. This does not make every
target above 𝐴 attainable under one
fixed size bound. ◻
Context and mathematical dependencies
Tao’s forum comment of 7 October 2025 gives the prime-to-gap
reduction and proposes sufficiently uniform quantitative control of
about loglog𝑛 consecutive gaps
as an input to irrationality [23]. Theorem 4.3 records the
reduction with its endpoint and convergence proof. An elementary prime
bound suffices for it. We use the prime number theorem separately, to
deduce 𝑃𝑛 ∼𝑛log𝑛 in
Corollary 8.6.
Conditional prime-pattern results.
Land’s draft gives conditional irrationality [13], and Ringer’s draft gives conditional
normality [26]. For
each fixed integer base 𝑏 ≥2,
Ringer’s number is ∑𝑛≥0𝑝𝑛𝑏−(𝑛+1) and its
normality is to base 𝑏. Varying
𝑏 varies the number, so the result
makes no assertion of absolute normality for one constant. The authors
supply formalisation material, which we have not rebuilt.
The uniform Hardy–Littlewood hypothesis in [12] counts prime translates of each
nonempty admissible tuple of 𝑘 ≤(loglog𝑥)3 distinct integer shifts in [0,(log𝑥)2]. Admissibility means that
the shifts omit a residue class modulo each prime. The main term is the
singular series of the tuple multiplied by ∫𝑥2(log𝑡)−𝑘 𝑑𝑡, with absolute
error at most 𝐶𝑥1−𝛿. The
constants 𝐶,𝛿 >0 and the
starting threshold precede the choice of 𝑥 and of the tuple. Replacing the
integral by its leading asymptotic can exceed this error, and
qualitative asymptotics for individual fixed tuples do not give the
stated uniformity.
In the version rechecked on 18 September 2026, Ringer also states
weaker hypotheses for the joint positions of the first 𝐿 primes after a prime basepoint, with
𝐿 of order loglog𝑋. The basepoints are uniform
among primes in (𝑋,2𝑋], where 𝑋 measures prime values. One hypothesis
controls a weighted sum of adverse tuple-count errors. The adverse sign
alternates with the order of inclusion–exclusion, so both undercounts
and overcounts can matter. Another hypothesis allows bounded domination
by a comparison law in place of total variation approximation. Neither
is a single-gap marginal estimate or a consequence of an upper sieve
bound alone. We assume none of these hypotheses here.
Our index band [𝑋,2𝑋)
corresponds to [𝑝𝑋,𝑝2𝑋). The
prime number theorem gives 𝜋(2𝑝𝑋) =2𝑋 +𝑜(𝑋), so its symmetric
difference with the prime basepoints in (𝑝𝑋,2𝑝𝑋] has size 𝑜(𝑋). Each set has 𝑋 +𝑜(𝑋) elements. The two uniform measures
have common mass equal to the intersection size divided by the larger
cardinality, and hence have total variation distance 𝑜(1). This compares the same uniformly
bounded observable with the same normalisation at common basepoints. It
supplies no relative or quantitative control of the growing patterns
required by the preceding conditional results.
Related irrationality problems.
Erdős’s 1958 article states that ∑𝑛≥1𝑝𝑘𝑛−1/𝑛! is irrational
for each 𝑘 ≥1, and prints a proof
only for 𝑘 =1, explaining that the
higher-power proof is more complicated [1]. Schlage-Puchta later proved the stronger
linear independence over ℚ of
1,𝑆0,𝑆1,…, where 𝑆𝑘 =∑𝑛≥1𝑝𝑘𝑛−1/𝑛! [18]. The fixed
dyadic denominator question is stated separately in [4], including the
difficulty of the case 𝑘 =1.
The same page proposes irrationality of ∑𝑛≥1𝑝𝑛−1/(𝑑1⋯𝑑𝑛)
whenever 𝑑𝑛 ≥2 and 𝑑𝑛 =𝑜(𝑝𝑛−1). Kovač’s note of 15 April
2026 disproves this variable-denominator assertion with a sum equal to
1 [24]. Its printed attribution is ChatGPT 5.4
Pro, orchestrated by Vjeko Kovač. Section 3 of the 1958 article also
concerns variable product denominators [1]. We make no quantified reinterpretation
of its nonstandard asymptotic notation in condition (5), which is unused
here. The endpoint example can be read directly: with 𝐺0 =1 and 𝐺𝑛 =∏𝑛𝑗=1(𝑝𝑗−1 +1),
𝑝𝑛−1𝐺𝑛=1𝐺𝑛−1−1𝐺𝑛,∑𝑛≥1𝑝𝑛−1𝐺𝑛=1.
These examples leave fixed
dyadic denominators unchanged as a separate question.
A different dyadic series with bounded coefficients is due to Erdős
and Pomerance. If 𝑃(𝑚) is the
largest prime factor of 𝑚, they
proved irrationality of
∑𝑚≥2𝟏{𝑃(𝑚)>𝑃(𝑚+1)}2−𝑚
[3, §7, p. 320]. Erdős and Graham record the
complementary indicator [2]. Since consecutive integers cannot
have the same largest prime factor, its series is 1/2 minus the displayed one and is also
irrational. These binary coefficients differ from the unbounded
numerators of Π. Schlage-Puchta’s
concatenation theorem [18] concerns a base 𝑏 ≥2 that is not a proper power, with
its stated monotonicity and growth assumptions. Concatenation places
blocks according to their lengths, whereas our coefficients occupy fixed
dyadic positions. We do not use that theorem. The analytic input used
below is his Lemma 4, proved by Selberg’s sieve: for every fixed nonzero
𝐹 ∈ℤ[𝑥0,…,𝑥𝑘], 𝐹(𝑔𝑛,…,𝑔𝑛+𝑘) ≠0 for almost all
𝑛 [18].
Interval covering and divisibility.
The bounded perturbation in Theorem 8.1 is
a binary expansion. The sparse construction uses the finite-choice lemma
of Crmarić and Kovač [27]. For finite nonnegative choice
sets with at least two elements and summable maxima, their lemma fills a
single interval if each largest successive gap is at most the sum of the
subsequent diameters. Here the sets are {0,𝑤𝑗,…,𝐷𝑗𝑤𝑗}, and the
condition is 𝑤𝑗 ≤∑𝑖>𝑗𝐷𝑖𝑤𝑖. The proof
checks this inequality at every stage. Fridy’s lemma [9] assumes nonincreasing
weights, a restriction avoided by the finite-choice form. Kovač and Tao
use reciprocal choices [11].
Van Doorn and Kovač combine finite subsum covering with a
distinguished subsequence of denominators [20]. Each distinguished denominator
is divisible by all earlier denominators, and every positive integer
divides some denominator. Thus every fixed integer divides all
sufficiently late distinguished denominators, as it does our factorial
moduli. Their condition is imposed on the distinguished subsequence, not
on every denominator. At a distinguished cutoff the finite sums lie in
the reciprocal grid of the last denominator. Adding the covering
inequalities between successive cutoffs gives Lemma 7 for the full
finite prefix, leaving no gaps in that grid. Once the denominator of a
rational target divides the last denominator and the target lies in the
available range, it has a finite representation. Their proposition fills
a half-open interval of rational targets by finite subsums. Our
construction fills a fixed interval of real targets by infinite
choices.
Van Doorn’s exchange {21𝑑,28𝑑} ↔{20𝑑,30𝑑}
preserves the reciprocal sum 1/(12𝑑) while changing the ordinary sum
from 49𝑑 to 50𝑑 [29]. The pair in (1)
preserves the ordinary sum and changes the weighted one. The analogy
concerns the conserved quantity, and does not invoke his partition
theorem. The present argument adds no new interval-covering
principle.
Binary subsums.
The achievement set of a positive summable sequence consists
of sums obtained by retaining or omitting each term. The sequence (2−𝑛)𝑛≥1 fills [0,1]. The sequence (3−𝑛)𝑛≥1 omits (1/6,1/3) because its terms after the
first sum to 1/6. Nevertheless a
failure of this simple overlap test at some indices does not exclude
interior elsewhere in the achievement set. Bartoszewicz, Filipczak and
Szymonik obtain interior from a central run of integer block sums in a
multigeometric family [32]. Prus-Wiśniowski and Ptak
construct Cantorvals with density-zero overlap indices {𝑛 :𝑎𝑛 ≤∑𝑖>𝑛𝑎𝑖} [31]. These compact sets
are the closures of their interiors, and the endpoints of every
nondegenerate interval component are accumulation points of one-point
components.
The surrounding classification is discussed in [30] and in Nitecki’s exposition [36], which credits Guthrie
and Nymann. The cited preprint’s title and theorem numbers differ from
those in the published Monthly article. Even prescribing the exact
inequality pattern leaves the presence of interior undetermined.
Marchwicki and Miska’s construction [38], with the proof repair in [37], realises any
infinite strict term-dominating index set with a Cantor achievement set.
The repair preserves uniqueness, and the latter paper gives a simpler
proof of a weaker conclusion without uniqueness. Nowakowski’s sufficient
condition [39]
instead requires every stage of the Star Procedure’s positivity
recursion to succeed. Knowing that neither term–tail inequality holds
eventually therefore cannot replace the overlap calculation in our
variable-digit proof.
The tail argument.
An ordinary binary expansion is rational exactly when its digits are
eventually periodic. Applying carries to integer coefficients changes
the sequence to which this criterion refers. Even bounded nonperiodic
coefficients can give a rational sum, as Proposition D.6 shows. A
classical alternative is the growth criterion for Ahmes series ∑𝑘1/𝑎𝑘 with strictly increasing
positive integer denominators: 𝑎1/2𝑘𝑘 →∞ suffices for
irrationality [6][11]. Replacing divergence by any
sufficiently large fixed threshold fails, since shifted Sylvester
sequences grow like 𝐶2𝑘 for
arbitrarily large 𝐶 and have
rational reciprocal sum. The criterion is sufficient and is not
necessary. Splitting 𝑝𝑖/2𝑖+1
into 𝑝𝑖 equal unit fractions
introduces repetitions, and even the distinct denominators 2𝑛 satisfy (2𝑛)1/2𝑛 →1.
We instead track reduced tail denominators. Rationality forces an
eventually integral shift, not repeating coefficients: the telescope
with 𝐾𝑛 =𝑛 in Proposition 8.10 has
coefficients 𝑛 −1 and sum zero.
Parity then gives a sufficient test using two small differences. Its
occurrence arbitrarily late for every positive shift remains unproved,
as does its necessity.
Summation by parts, with the endpoint retained
We return to the actual prime gaps 𝑔𝑛 =𝑝𝑛+1 −𝑝𝑛, with 𝑝0 =2 and 𝑔0 =1. We write
Π=∑𝑛≥0𝑝𝑛2−𝑛−1,𝑆=∑𝑛≥0𝑔𝑛2−𝑛−1.
Here 𝑆 denotes the gap sum. The set of indices
used in Section 2 will
not be needed below. The short paper calls this same sum 𝐺. The two calculations below have
different jobs: summation by parts gives Π =2 +𝑆, and deleting the first gap gives
the initial tail 𝑇0 =2𝑆 −1.
We begin with a finite identity, so no convergence hypothesis is
needed. Its endpoint identifies the estimate required before passing to
the infinite series. The linked definitions are the dyadic
partial sum and the weighted
sum of consecutive differences. The formula below writes both sums
explicitly.
Proposition 4.1 (finite summation by parts). For
every rational sequence 𝑃 and every
𝑛 ≥0,
𝑛∑𝑖=0𝑃(𝑖)2𝑖+1=𝑃(0)+𝑛−1∑𝑖=0𝑃(𝑖+1)−𝑃(𝑖)2𝑖+1−𝑃(𝑛)2𝑛+1.
Proof. At 𝑛 =0 both
sides equal 𝑃(0)/2. When 𝑛 is replaced by 𝑛 +1, the change on the right is
𝑃(𝑛+1)−𝑃(𝑛)2𝑛+1−𝑃(𝑛+1)2𝑛+2+𝑃(𝑛)2𝑛+1=𝑃(𝑛+1)2𝑛+2.
This is the next term on the left,
which proves the identity by induction. ◻
Specialising to 𝑃(𝑖) =𝑝𝑖, whose
first value is 𝑝0 =2, and writing
𝑔𝑖 =𝑝𝑖+1 −𝑝𝑖 for the zero-based
gaps, gives the reformulation.
Theorem 4.2 (prime-gap reformulation). Let 𝑝0 =2,𝑝1 =3,… be the primes in
increasing order and 𝑔𝑖 =𝑝𝑖+1 −𝑝𝑖. For every 𝑛 ≥0,
𝑛∑𝑖=0𝑝𝑖2𝑖+1=2+𝑛−1∑𝑖=0𝑔𝑖2𝑖+1−𝑝𝑛2𝑛+1.
The leading 2 is the first
prime, not a normalising constant. At 𝑛 =2, for instance, the left side is 2/2 +3/4 +5/8 =19/8 and the right side is
2 +(1/2 +2/4) −5/8 =19/8.
The infinite identity and the irrationality equivalence
To pass to the infinite series, let
𝑢𝑛=𝑝𝑛2𝑛+1,𝑣𝑛=𝑔𝑛2𝑛+1.
Thus ∑𝑛𝑢𝑛 =Π. The termwise identity
𝑣𝑛 =2𝑢𝑛+1 −𝑢𝑛 is the dyadic
discrete derivative. It expresses each gap term as an integer
combination of two consecutive prime terms, so once (𝑢𝑛) is summable the gap series can be
summed after proving absolute convergence, which justifies shifting and
subtracting the prime series.
Theorem 4.3 (infinite prime-gap identity). Both
series converge and
∑𝑛≥0𝑝𝑛2𝑛+1=2+∑𝑛≥0𝑔𝑛2𝑛+1.
Proof. The bound 𝑝𝑛 ≤1250(𝑛 +1)4 of Appendix A makes (𝑢𝑛) summable, and 0 <𝑔𝑛 ≤𝑝𝑛+1 then makes (𝑣𝑛) summable. The shifted sequence
(𝑢𝑛+1) is summable, so summing
𝑣𝑛 =2𝑢𝑛+1 −𝑢𝑛 and using 𝑢0 =1 gives
∑𝑛≥0𝑣𝑛=2(∑𝑛≥0𝑢𝑛−𝑢0)−∑𝑛≥0𝑢𝑛=∑𝑛≥0𝑢𝑛−2.◻
◻
The prime number theorem is needed neither for this convergence nor
for the identity. Its asymptotic 𝑝𝑛 ∼𝑛log𝑛 is used in Corollary 8.4 and in
the argument counting repeated tail values [17].
Corollary 4.4 (exact irrationality reformulation).
Π is irrational if and only
if 𝑆 =∑𝑛≥0𝑔𝑛2−(𝑛+1) is
irrational. The corresponding zero-based series with denominator 2𝑛 equals 4 +2𝑆 and has the same irrationality
status.
Proof. The identity just proved gives Π =2 +𝑆. Adding a rational constant or
multiplying by a nonzero rational number preserves rationality and
irrationality. ◻
Concretely, Π =3.674643966… is irrational if
and only if 𝑆 =1.674643966… is.
Neither irrationality statement is established here.
The tail recurrence and the exact criteria
We rescale each tail so that its first denominator is again 2. For a convergent series ∑𝑖≥0𝑎𝑖2−𝑖−1 with 𝑎𝑖 ∈ℤ, put
𝑇𝑁=2𝑁+1∑𝑖>𝑁𝑎𝑖2−𝑖−1=𝑎𝑁+12+𝑎𝑁+24+⋯.
Thus 𝑇𝑁 starts with coefficient 𝑎𝑁+1, not 𝑎𝑁. Doubling and removing that first
coefficient gives 𝑇𝑁+1 =2𝑇𝑁 −𝑎𝑁+1. Modulo integers, a
step is simply doubling; the detailed values of the integer coefficients
disappear. This is why the recurrence gives a rationality criterion for
arbitrary integer coefficients.
At 𝑁 =0 we have 𝑇0 =2∑𝑖≥0𝑎𝑖2−𝑖−1 −𝑎0. In
particular, for the prime gaps 𝑇0 =2𝑆 −1 =2Π −5, so 𝑇0, 𝑆 and Π have the same rationality status. We
first analyse the recurrence abstractly. We then impose the vanishing
boundary condition that singles out complete tails and apply the
criterion to these prime-gap tails.
Definition 5.1. Let 𝑔 :ℕ →ℤ and 𝑇 :ℕ →ℚ or 𝑇 :ℕ →ℝ. Say 𝑇 satisfies the dyadic tail
recurrence with coefficients 𝑔 when 𝑇𝑁+1 =2𝑇𝑁 −𝑔𝑁+1 for every 𝑁. Write 𝜎ℎ(𝑁) =𝑇𝑁+ℎ −𝑇𝑁 for the
shift of length ℎ at 𝑁, and call a real number
integral when it belongs to ℤ.
For a complete-tail example, take 𝑔𝑛 =2 for odd 𝑛 ≥1 and 𝑔𝑛 =4 for even 𝑛 ≥1. Its complete tail at index 0 is 𝑇0 =(2/2 +4/4)/(1 −1/4) =8/3, and the tails
alternate between 8/3 and 10/3. Thus 𝜎1(𝑁) is always 2/3 or −2/3, whereas 𝜎2(𝑁) =0 for every 𝑁. Nonintegrality at one prescribed shift
length does not imply irrationality, even for positive even coefficients
and genuine tails.
An integral shift returns to the same fractional part. To track the
integer accumulated in ℎ steps,
define 𝐵0,𝑁 =0 and 𝐵ℎ+1,𝑁 =2𝐵ℎ,𝑁 +𝑔𝑁+ℎ+1, so that
𝐵ℎ,𝑁 =𝑔𝑁+12ℎ−1 +⋯ +𝑔𝑁+ℎ
is the weighted
integer sum accumulated in those ℎ steps.
Theorem 5.2 (block identity). For every 𝑁 and ℎ,
𝑇𝑁+ℎ=2ℎ𝑇𝑁−𝐵ℎ,𝑁,hence𝜎ℎ(𝑁)=(2ℎ−1)𝑇𝑁−𝐵ℎ,𝑁.
Proof. The case ℎ =0
follows from 𝐵0,𝑁 =0. If the
first identity holds at ℎ, then
𝑇𝑁+ℎ+1=2(2ℎ𝑇𝑁−𝐵ℎ,𝑁)−𝑔𝑁+ℎ+1=2ℎ+1𝑇𝑁−𝐵ℎ+1,𝑁.
Subtracting 𝑇𝑁 gives the second identity. ◻
Subtracting the tail recurrences at 𝑁 +ℎ and 𝑁 gives
𝜎ℎ(𝑁+1)=2𝜎ℎ(𝑁)−(𝑔𝑁+ℎ+1−𝑔𝑁+1),(7)
which is the recurrence
for the tail differences. Since 𝐵ℎ,𝑁 is an integer, Theorem 5.2 also gives the integrality
criterion: 𝜎ℎ(𝑁) is
integral if and only if (2ℎ −1)𝑇𝑁
is integral. For fixed ℎ in this
general recurrence, 𝑇𝑁 therefore
determines whether the shift is integral, regardless of the later
integer coefficients. For a complete tail, however, changing those
coefficients also changes 𝑇𝑁; the
observation does not permit arbitrary changes to prime gaps.
For rational 𝑇𝑁 =𝑢/𝑣 in lowest
terms, the recurrence gives 𝑇𝑁+1 =(2𝑢 −𝑔𝑁+1𝑣)/𝑣. The numerator
has greatest common divisor gcd(2,𝑣) with 𝑣, because gcd(𝑢,𝑣) =1. Thus
den(𝑇𝑁+1)=den(𝑇𝑁)gcd(2,den(𝑇𝑁)),𝜎ℎ(𝑁)∈ℤ⟺den(𝑇𝑁)∣2ℎ−1.(8)
The power of two in the denominator determines
how many initial steps must pass before a return is possible; the
remaining odd factor 𝑑 determines
the possible return lengths. Once that factor is reached, Euler’s
congruence supplies 𝑑 ∣2𝜑(𝑑) −1. The least positive
return length is the multiplicative order of 2 modulo 𝑑, taken to be 1 when 𝑑 =1. Before the power of two is removed
there is no return: for example, 𝑇𝑁 =1/2 gives no integral shift at 𝑁, since 2ℎ −1 is always odd. This periodicity
concerns fractional parts, not full tail values or coefficients.
Theorem 5.3 (exact rationality classification).
Let 𝑇 :ℕ →ℝ satisfy 𝑇𝑁+1 =2𝑇𝑁 −𝑔𝑁+1 with integer
coefficients 𝑔. The following are
equivalent:
𝑇0 is
rational;
𝜎ℎ(𝑁) is an
integer for some ℎ ≥1 and some
𝑁;
for some fixed ℎ ≥1,
𝜎ℎ(𝑁) is an integer at every
sufficiently large 𝑁.
Consequently 𝑇0 is
irrational if and only if every positive-length shift is nonintegral at
every index, equivalently if and only if for every ℎ ≥1 and every cutoff some later 𝑁 has 𝜎ℎ(𝑁) ∉ℤ.
Proof. For (i)⇒(iii), the block identity makes every 𝑇𝑁 rational. By (8), its
denominator is a fixed odd integer 𝑑 for all sufficiently large 𝑁. Choose ℎ =𝜑(𝑑); Euler’s congruence and the same
formula show that every subsequent 𝜎ℎ(𝑁) is integral. The implication
(iii)⇒(ii) is immediate. For (ii)⇒(i), the block identity gives 𝜎ℎ(𝑁) =(2ℎ −1)𝑇𝑁 −𝐵ℎ,𝑁 with 𝐵ℎ,𝑁 and 𝜎ℎ(𝑁) integers and 2ℎ −1 ≠0, so 𝑇𝑁 is rational, and 𝑇𝑁 =2𝑁𝑇0 −𝐵𝑁,0 then makes 𝑇0 rational. Negating the three
conditions gives the two irrationality formulations. ◻
Lemma 5.4 (the boundary condition for the tail
recurrence). Let 𝑎1,𝑎2,… be real numbers with ∑𝑗≥1|𝑎𝑗|2−𝑗 <∞, and
let 𝑈𝑁+1 =2𝑈𝑁 −𝑎𝑁+1. Then
𝑈𝑁=∑𝑗≥1𝑎𝑁+𝑗2−𝑗for every 𝑁⟺2−𝑁𝑈𝑁⟶0.
Proof. Iteration gives 2−𝑁𝑈𝑁 =𝑈0 −∑𝑁𝑗=1𝑎𝑗2−𝑗.
The limit is zero exactly when 𝑈0
equals the full series; subtracting its first 𝑁 terms then gives the claimed tail
formula. Without the boundary condition, one may add 𝐶2𝑁 to every 𝑈𝑁 without changing the
recurrence. ◻
For instance, zero coefficients and initial value 𝑈0 =1/12 give 112,16,13,23,43,…,
with 𝑈𝑁+ℎ −𝑈𝑁 =(2ℎ −1)2𝑁/12.
Shifts of length 2 become integral
at index 2; shifts of length 1 never do. These are not complete tails
of the zero sequence, since 2−𝑁𝑈𝑁 =1/12 does not tend to zero. The
denominator calculation remains valid, but the boundary condition
excludes this extra homogeneous term.
The actual prime-gap tails.
Put
𝑇𝑁=∑𝑗≥1𝑔𝑁+𝑗2𝑗,
which converges by Theorem 4.3. Reindexing
identifies this sum with the rescaled complete tail of 𝑆, as in the shifted-gap
series identity. Splitting off the first term gives 𝑇𝑁+1 =2𝑇𝑁 −𝑔𝑁+1 without a
rationality hypothesis, as formalised in the real
tail recurrence. Since 𝑇0 =2𝑆 −1 =2.349287932…, the numbers
Π, 𝑆 and 𝑇0 have the same rationality status, and
Theorem 5.3
specialises to the actual series: irrationality of Π is equivalent to nonintegrality
arbitrarily far out for each positive shift of 𝑇. The formal statement is the irrationality
equivalence for the actual prime tails. Thus the passage from the
series to its complete tails is proved. What remains is to establish the
required nonintegrality for these prime-gap tails.
Pairs of congruent indices and least-common-multiple shifts
Instead of prescribing the offset 𝑀 −𝑁, we may prescribe a positive modulus
𝑡 and allow any pair with 𝑀 ≡𝑁(mod𝑡). This gives more freedom
in finding a witness, but the test must still work for every 𝑡 and beyond every cutoff.
Theorem 5.5 (pairs of congruent indices). 𝑆 is irrational if and only if for every
𝑡 ≥1 and every 𝑁0 there are 𝑁,𝑀 ≥𝑁0 with 𝑀 ≡𝑁(mod𝑡) and 𝑇𝑀 −𝑇𝑁 ∉ℤ.
Proof. If 𝑆 is
irrational, take 𝑀 =𝑁 +𝑡 for the
𝑁 supplied by Theorem 5.3 at
shift length 𝑡. Conversely, suppose
𝑆 is rational. By (8) the orbit
reaches an index 𝑁0 beyond which
the reduced denominator is a fixed odd 𝑑; let 𝑡 be the multiplicative order of 2 modulo 𝑑, taking 𝑡 =1 when 𝑑 =1. For 𝑁,𝑀 ≥𝑁0 with 𝑀 ≡𝑁 modulo 𝑡, the difference 𝑇𝑀 −𝑇𝑁 is then an integer, contradicting
the stated property at this 𝑡 and
this cutoff. ◻
The obstruction under rationality is therefore one particular
modulus: the order of 2 modulo the
eventual odd denominator. A successful pair for some other modulus does
not exclude it.
Equal tail values do not help this criterion, since their difference
is zero. Section D.4 shows
that rationality and the prime number theorem would in fact force many
equal tail values. It also explains why, beyond the rational denominator
cutoff, an interval condition excluding integers already contradicts
rationality at indices congruent modulo the corresponding multiplicative
order. These are ordinary deductions, not additional formalised
statements.
Alternatively, one can fix the pairs in advance. Let 𝐿0 =1 and 𝐿𝑗 =lcm(1,…,𝑗). These numbers
eventually exceed any starting cutoff and are eventually divisible by
any proposed period.
Theorem 5.6 (criterion
using least common multiples). Let 𝑔 :ℕ →ℤ and 𝑇 :ℕ →ℝ satisfy 𝑇𝑁+1 =2𝑇𝑁 −𝑔𝑁+1. Then 𝑇0 is irrational if and only if 𝑇2𝐿𝑗 −𝑇𝐿𝑗 ∉ℤ for every 𝑗 ≥0.
Proof. Theorem 5.3 gives
the forward implication. Conversely, if 𝑇0 is rational then some positive shift
length ℎ is integral at every
basepoint beyond an index 𝑁0.
Choose 𝑗 so large that 𝑁0 ≤𝐿𝑗 and ℎ ∣𝐿𝑗. The telescoping identity 𝜎𝑎+𝑏(𝑁) =𝜎𝑎(𝑁) +𝜎𝑏(𝑁 +𝑎)
shows by induction that every positive multiple of ℎ is integral at every such basepoint, so
𝑇2𝐿𝑗 −𝑇𝐿𝑗 is an
integer. ◻
One could use factorials instead of least common multiples, since
they have the same eventual divisibility property. The least common
multiples are no larger at each index. Theorems 5.5 and 5.6 change
which tail differences one must test, but remain exact equivalences for
integer-coefficient recurrences. Neither proves the needed
nonintegrality for the actual prime gaps.
A local certificate, and one actual pair
To rule out an integral shift, we can bound two consecutive complete
differences in ( −1,1) and check
that the corresponding gaps are unequal. Indeed, simultaneous
integrality would force both differences to vanish, and their recurrence
would then give 𝑔𝑁+ℎ+1 =𝑔𝑁+1.
For even gaps we can state these conditions as a single signed interval
for the first difference.
Theorem 6.1 (two consecutive small tail differences).
Let 𝑇 satisfy the dyadic tail
recurrence with integer coefficients 𝑔, and fix ℎ and 𝑁. If
−1<𝜎ℎ(𝑁)<1,−1<𝜎ℎ(𝑁+1)<1,𝑔𝑁+ℎ+1≠𝑔𝑁+1,
then 𝜎ℎ(𝑁) and 𝜎ℎ(𝑁 +1) cannot both be integers.
Consequently, if such a pair occurs beyond every threshold, the ℎ-shift is not eventually
integral.
Proof. An integer strictly between −1 and 1 is zero. If both shifts were integers,
both would vanish, and (7) would give
𝑔𝑁+ℎ+1 =𝑔𝑁+1. The final
assertion chooses one such adjacent pair after the alleged onset of
integrality. ◻
Corollary 6.2 (real form and the sufficient
condition). The same statement holds for a real orbit, with the
same proof. If for every ℎ ≥1 and
every cutoff some later 𝑁 satisfies
the three displayed conditions for the actual prime gaps, then Π is irrational.
The unequal-gap condition alone is available: at ℎ =1, 𝑁 =2 it reads 𝑔4 =2 ≠4 =𝑔3, and Proposition 6.3 gives
such inequalities at arbitrarily large indices for each fixed ℎ. The missing assertion is that both
small-tail inequalities and the unequal-gap condition hold at the same
arbitrarily late indices. Separate infinite sets of witnesses for the
three requirements need not intersect.
Proposition 6.3 (prime gaps do not become periodic).
For every positive ℎ, the
actual consecutive-prime-gap sequence is not eventually periodic with
period ℎ.
Proof. For 𝑚 ≥2 the
integers (𝑚 +1)! +2,…,(𝑚 +1)! +𝑚 +1
are composite, so the gaps are unbounded. An eventually periodic
sequence of natural numbers has finite range after its preperiod and a
bounded initial segment, hence is bounded. ◻
Far stronger lower bounds for large gaps are known [8]; the unboundedness
of the gaps is all that is needed.
With even gap differences, the three conditions in Theorem 6.1 reduce to two
possible signed intervals, each accompanied by a prescribed gap
difference. For fixed ℎ write 𝐷𝑁 =𝜎ℎ(𝑁) and 𝛿𝑁 =𝑔𝑁+ℎ+1 −𝑔𝑁+1, so that 𝐷𝑁+1 =2𝐷𝑁 −𝛿𝑁.
Theorem 6.4 (an
equivalent signed interval test). Assume 𝛿𝑁 is even. The conjunction −1 <𝐷𝑁 <1, −1 <𝐷𝑁+1 <1, 𝛿𝑁 ≠0 is equivalent to
(𝛿𝑁=2 and 12<𝐷𝑁<1)or(𝛿𝑁=−2 and −1<𝐷𝑁<−12).
Proof. Since 𝛿𝑁 =2𝐷𝑁 −𝐷𝑁+1, the bounds |𝐷𝑁| <1 and |𝐷𝑁+1| <1 give −3 <𝛿𝑁 <3. A nonzero even
integer in this interval is 2 or
−2. If 𝛿𝑁 =2, the inequality −1 <2𝐷𝑁 −2 <1, together with |𝐷𝑁| <1, is equivalent to 1/2 <𝐷𝑁 <1. Negating both
differences gives the case 𝛿𝑁 = −2. Each substitution is
reversible. ◻
For the actual gaps, both indices 𝑁 +1 and 𝑁 +ℎ +1 are positive, so 𝛿𝑁 is even for every 𝑁 ≥0. Theorem 6.4 therefore
applies to the actual tails. Its proof uses order, the recurrence and
the evenness of 𝛿𝑁; it does
not require rational tail values. This is the real version used in
Theorem 8.7.
An explicit remainder and a certified actual pair
Here 𝑁 locates the two tails,
ℎ separates them, and 𝐿 is the number of terms retained from
each. A finite block supplies the centre of an enclosure, not the full
difference. The polynomial prime bound supplies its radius; clearing
denominators then makes each test an integer comparison.
Proposition 6.5 (explicit remainder). For
integers ℎ,𝑁 ≥0 and 𝐿 ≥1 put
𝐹ℎ,𝑁,𝐿=𝐿∑𝑗=1𝑔𝑁+ℎ+𝑗−𝑔𝑁+𝑗2𝑗,𝑃(𝑥)=𝑥4+8𝑥3+36𝑥2+104𝑥+150,
𝐸ℎ,𝑁,𝐿=12502𝐿(𝑃(𝑁+ℎ+𝐿+2)+𝑃(𝑁+𝐿+2)).
Then |
|
|𝜎ℎ(𝑁) −𝐹ℎ,𝑁,𝐿|
|
| ≤𝐸ℎ,𝑁,𝐿. In particular |𝐹ℎ,𝑁,𝐿| +𝐸ℎ,𝑁,𝐿 <1 certifies
|𝜎ℎ(𝑁)| <1, and dist(𝐹ℎ,𝑁,𝐿,ℤ) >𝐸ℎ,𝑁,𝐿
certifies 𝜎ℎ(𝑁) ∉ℤ.
Proof. Splitting the complete tails after 𝐿 terms gives
𝜎ℎ(𝑁)=𝐹ℎ,𝑁,𝐿+2−𝐿𝜎ℎ(𝑁+𝐿).
The last term is the part not determined by the finite gap blocks. The
checked bound 𝑝𝑛 ≤1250(𝑛 +1)4
gives 0 ≤𝑔𝑚 ≤𝑝𝑚+1 ≤1250(𝑚 +2)4, so its absolute value is at most
1250∑𝑗>𝐿(𝑁+ℎ+𝑗+2)4+(𝑁+𝑗+2)42𝑗.
The polynomial identity 2𝑃(𝑥) =(𝑥 +1)4 +𝑃(𝑥 +1) telescopes to ∑𝐽𝑘=1(𝑚 +𝑘)42−𝑘 =𝑃(𝑚) −𝑃(𝑚 +𝐽)2−𝐽,
whose last term tends to zero. Apply it with 𝑚 =𝑁 +ℎ +𝐿 +2 and 𝑚 =𝑁 +𝐿 +2 after writing 𝑗 =𝐿 +𝑘. The two tests follow from the
triangle inequality and the definition of distance to ℤ. ◻
Proposition 6.6 (a certified adjacent pair). For
the actual prime gaps, ℎ =1 and
𝑁 =2 satisfy the three hypotheses of
Theorem 6.1: both 𝜎1(2) and 𝜎1(3) lie in ( −1,1) and are nonintegral, and 𝑔4 =2 ≠4 =𝑔3.
Proof. Take 𝐿 =40 and
𝑄 =240 =1099511627776. Exact
integer arithmetic over the first 46 primes gives
𝑁𝑄𝐹1,𝑁,40𝑄𝐸1,𝑁,402−66283868475011764181250387334588605012805761250
In each row |𝑄𝐹| +𝑄𝐸 <𝑄, which puts the whole
certified interval inside ( −1,1),
and 𝑄𝐸 is smaller than the distance
from 𝑄𝐹 to the nearest multiple of
𝑄, which excludes every integer.
The margins are 424908761776 and
213359980476 respectively. These
are strict integer comparisons rather than inferences from rounded
numerical tails. Appendix B replays
them. ◻
This certifies one actual adjacent pair, not a recurrence theorem for
such pairs. Irrationality still requires a witness for every positive
ℎ beyond every cutoff; the
successful indices may depend on ℎ.
Proposition 6.7 (certifying two small differences
from one enclosure). Let 𝐷𝑁+1 =2𝐷𝑁 −𝛿𝑁 with real 𝐷𝑁, and suppose 𝛿𝑁 =2𝑠 for 𝑠 ∈{ −1,1}. If integers 𝐴,𝐵,𝑄 satisfy 𝑄 >0, 𝐵 ≥0, |𝑄𝐷𝑁 −𝐴| ≤𝐵, and
2𝑠𝐴−𝑄>2𝐵,𝑄−𝑠𝐴>𝐵,
then 1/2 <𝑠𝐷𝑁 <1, |𝐷𝑁+1| <1, and both 𝐷𝑁,𝐷𝑁+1 are nonintegral. In
particular, the two small-difference conditions are certified from just
one tail enclosure.
Proof. Since |𝑠| =1, the
enclosure gives
𝑠𝐴−𝐵𝑄≤𝑠𝐷𝑁≤𝑠𝐴+𝐵𝑄.
The first strict inequality says that
the lower endpoint exceeds 1/2; the
second says that the upper endpoint is less than 1. Thus 𝑠𝐷𝑁 ∈(1/2,1). The recurrence and 𝛿𝑁 =2𝑠 now give 𝑠𝐷𝑁+1 =2𝑠𝐷𝑁 −2 ∈( −1,0). Both intervals
exclude integers, and the second also gives |𝐷𝑁+1| <1. ◻
For ℎ =1,𝑁 =2, the exact data
already used above give 𝑄 =240,
𝐴 = −662838684750, 𝐵 =11764181250 and 𝑠 = −1. The two positive integer margins
are respectively 202637379224 and
424908761776. Proposition 6.6
encloses each difference separately. Here the first enclosure and the
exact gap difference give the second interval through the recurrence.
The second enclosure is therefore an independent cross-check, not a
necessary input.
Two lower bounds on a possible rational denominator
Here the enclosure is for Π
itself, rather than a tail difference. A finite prime sum gives the
lower endpoint; the polynomial prime bound gives the upper endpoint. Two
fractions of determinant one bracket this entire interval, so every
rational in it has denominator at least the sum of their denominators.
This last step is an integer identity, independent of how the fractions
were found. Appendix B prints the
smaller certificate; the linked Lean development checks the integer
comparisons for both. The bounds exclude finite denominator ranges, not
rationality.
Theorem 7.1 (a denominator bound checked by exact
integer comparisons). Let 𝑎 ∈ℤ and let 𝑏 be a positive integer. If Π =𝑎/𝑏 then 𝑏 ≥2589 >10177, and the same
floor holds for every rational equal to 𝑆.
Proof. Put 𝑐 =1229, the
number of primes below 104, and
𝐴 =∑𝑐−1𝑖=0𝑝𝑖2𝑐−𝑖−1,
so that 𝐴/2𝑐 is the 𝑐th partial sum of Π. All terms are positive, so 𝐴/2𝑐 ≤Π. For the upper bound, 𝑝𝑐+𝑗 ≤1250(𝑐 +𝑗 +1)4. Since 𝑐 ≥9, each successive ratio of (𝑐 +1 +𝑗)4 is at most (11/10)4 <3/2. Hence (𝑐 +1 +𝑗)4 ≤(𝑐 +1)4(3/2)𝑗 for all 𝑗 ≥0. The omitted dyadic terms are
therefore bounded by a geometric series with ratio 3/4, whose sum gives
𝐴2𝑐≤Π≤2𝐴+5000(𝑐+1)42𝑐+1.
The four positive integers 𝑢,𝑣,𝑢′,𝑣′ printed in
Appendix B satisfy
𝑢′𝑣−𝑢𝑣′=1,𝑢𝑣<𝐴2𝑐,2𝐴+5000(𝑐+1)42𝑐+1<𝑢′𝑣′,𝑣+𝑣′≥2589,
all four being integer comparisons after
clearing the positive denominators. If Π =𝑎/𝑏, the strict lower and upper
bounds make 𝑎𝑣 −𝑏𝑢 and 𝑏𝑢′ −𝑎𝑣′ positive integers. Each
is therefore at least 1. The
determinant identity expresses 𝑏 as
their positive integer combination of 𝑣′ and 𝑣:
𝑏=𝑏(𝑢′𝑣−𝑢𝑣′)=(𝑎𝑣−𝑏𝑢)𝑣′+(𝑏𝑢′−𝑎𝑣′)𝑣≥𝑣+𝑣′≥2589.
The only properties needed of the
bracketing fractions are their order, positive denominators and
determinant one. Their decimal expansions and the way they were found
play no part in this denominator bound. Since 589log102 >177, the floor exceeds
10177. If 𝑆 =𝑎/𝑏, apply the same argument to Π =(𝑎 +2𝑏)/𝑏. ◻
The Lean kernel evaluates the four inequalities itself, on the same
integers, after recomputing the primes below 104 by trial division; no compiled code
is trusted. Its analytic input is the same enclosure, derived from the
polynomial
bound 𝑝𝑛 ≤1250(𝑛 +1)4. The
four integers 𝑢,𝑣,𝑢′,𝑣′
have 177 and 178 digits.
Theorem 7.2 (certified continued-fraction exclusion).
Every rational equal to Π,
and hence every rational equal to 𝑆, has reduced denominator 𝑞 ≥239997, and therefore 𝑞 >1012040.
The same determinant argument gives the stronger floor 240062 below. The smaller constants in
the statement and the different continued-fraction pairs are accounted
for after the proof.
Proof. Put 𝑐 =80200, the
number of primes below 1 023 068,
and 𝐴 =∑𝑐−1𝑖=0𝑝𝑖2𝑐−𝑖−1. The
estimate in the proof of Theorem 7.1 holds
for every 𝑐 ≥9 and gives
𝐴2𝑐≤Π≤2𝐴+5000(𝑐+1)42𝑐+1.
Four positive integers 𝑢,𝑣,𝑢′,𝑣′, described after this
proof, satisfy
𝑢′𝑣−𝑢𝑣′=1,𝑢𝑣<𝐴2𝑐,2𝐴+5000(𝑐+1)42𝑐+1<𝑢′𝑣′,𝑣+𝑣′≥240062,
all four being integer comparisons after
clearing the positive denominators. If Π =𝑎/𝑏 with 𝑎 ∈ℤ and 𝑏 a positive integer, the determinant
calculation in the proof of Theorem 7.1 gives
𝑏≥𝑣+𝑣′≥240062>1012059.
The last inequality holds because 1012059 =(1059)204 1023 and
240062 =(2196)204 278,
with 1059 <2196 and 1023 <278. The reduced
denominator 𝑞 is one such 𝑏, so 𝑞 ≥240062 >239997 and 𝑞 >1012059 >1012040. If 𝑆 =𝑎/𝑏, apply the same argument to Π =(𝑎 +2𝑏)/𝑏. ◻
The integers 𝑢,𝑣,𝑢′,𝑣′
come from the continued fractions of the two endpoints 𝐴/2𝑐 and (2𝐴 +5000(𝑐 +1)4)/2𝑐+1, which agree
in their first 23407 partial
quotients. The fraction 𝑢/𝑣 is the
convergent formed by those partial quotients, and 𝑢′/𝑣′ is the mediant of 𝑢/𝑣 and the convergent before it. Only
the four comparisons enter the proof. The numerators 𝑢,𝑢′ have 12061 decimal digits and the denominators
𝑣,𝑣′ have 12060.
The Lean kernel checks every step of this proof and evaluates every
computation itself; no compiled code is trusted. It recomputes 𝑐 and 𝐴 from the definition of primality,
scanning the integers below 1 023 068 in 250 consecutive blocks and checking the
prime count and partial numerator at the end of each block. It decides
primality by trial division below 1012. On [1012,10132), which contains the rest of
the scan because 10132 =1 026 169, it uses the fact
that such an integer is prime exactly when it is coprime to the product
of the primes below 1012, and it
recomputes that product by trial division. Lean proves that the two
primality tests agree at every natural number. The kernel then decides
the four comparisons, together with 1059 <2196 and 1023 <278; the enclosure and the
determinant step are proved in general form. Lean proves the bound
𝑏 ≥240062 and 𝑏 >1012059 for both series and
derives the theorem as stated from it, using only Lean’s three standard
axioms.
An independent program
outside Lean recomputes 𝐴 by a
prime sieve and uses exact integer arithmetic. Its recorded
output has the same 23407
common partial quotients. It brackets the interval with the last two
consecutive convergents, whose denominator sum has bit length 40062, and checks the advertised bound
239997 >1012040. This pair
differs from the convergent–mediant pair in the Lean certificate above,
whose denominator sum has bit length 40063 and is at least 240062. The two bit lengths refer to
different valid pairs.
The constants 239997 and
1012040 in the statement come
from a separate computation with a bracket of width 2−80000, which used the
best-approximation property of convergents [10]; Short gives an accessible statement
and proof [19]. Its recorded
output lists the generating program and its digest and a last
convergent whose denominator has bit length 39998, hence is at least 239997; the program also checked its
arithmetic against the known expansions of 𝑒 and 𝜋. That bit length describes one
convergent only; the bound for every rational in the enclosure comes
from the certified sum 𝑣 +𝑣′
above, and 239997 >1012040
is a separate integer comparison.
These computations exclude finite denominator ranges. Irrationality
would require unbounded exclusions, not just a larger finite bound. Even
extending the prefix need not improve the bound at every step. No
irrationality-exponent estimate is asserted.
Coefficient conditions and counterexamples
The examples test different proposed substitutes for information
about the actual tails. Bounded changes preserve a fixed modulus and
transfer polynomial nonconcentration through finitely many translates.
Sparse changes preserve the larger collection of properties in the main
theorem because most sampled blocks are untouched. Later examples
prescribe integer tails first and derive coefficients with recurring
values or growth conditions. These mechanisms have different
conclusions; none constructs consecutive primes.
We also show that the actual small-pair witnesses, if they occur
arbitrarily late, must have density zero. This does not rule them out:
infinitely many witnesses suffice, and positive density is not
required.
Bounded residue-preserving perturbations
For one fixed positive modulus 𝑀, we may add either 0 or 𝑀 after a prescribed prefix. The weighted
choices form a binary expansion, so we can choose a rational sum while
preserving every coefficient modulo 𝑀. This construction permits changes at
every index after the prefix; it imposes neither density-zero support
nor eventual preservation of all moduli.
Theorem 8.1 (bounded perturbations preserving
congruences). Let 𝑎𝑛 be
natural numbers with ∑𝑛≥0𝑎𝑛2−(𝑛+1) convergent. For
every integer 𝑀 ≥1 and every
cutoff 𝐾 there are digits 𝜀𝑛 ∈{0,1}, zero for 𝑛 <𝐾, such that ∑𝑛≥0(𝑎𝑛 +𝑀𝜀𝑛)2−(𝑛+1)
is rational.
Proof. Write 𝐴 =∑𝑛≥0𝑎𝑛2−(𝑛+1) and choose a
rational 𝑟 ∈(𝐴,𝐴 +𝑀2−𝐾). A binary
expansion of (𝑟 −𝐴)/𝑀 has the form
∑𝑛≥𝐾𝜀𝑛2−(𝑛+1) with 𝜀𝑛 ∈{0,1}; set 𝜀𝑛 =0 for 𝑛 <𝐾. The perturbed series converges
and equals 𝑟. ◻
Hence a property shared by every allowed perturbation cannot by
itself force irrationality, since one such perturbation has a rational
sum; this consequence is not stated separately in Lean. Lean also checks
the construction at the actual consecutive prime gaps, for every 𝑀 ≥1 and every 𝐾: the perturbed
prime-gap series is rational, and each perturbed gap lies in [𝑔𝑛,𝑔𝑛 +𝑀] and is congruent
to 𝑔𝑛 modulo 𝑀. For each fixed 𝑘 ≥1, the sum of 𝑘 consecutive gaps increases by at most
𝑘𝑀. Thus infinitely many bounded
gaps and bounded clusters of each fixed size survive, but their original
numerical bounds need not. Nonnegative corrections also preserve lower
bounds for large gaps. Taking 𝑀 =2𝑞
preserves parity and the cumulative positions modulo a prescribed 𝑞, hence any limiting residue frequencies
of those positions. These conclusions concern the size and residue
information in the results discussed in Section 10; they establish
neither primality of the new positions nor preservation of every
quantitative assertion of those theorems.
Algebraic nonconcentration survives the rationalising
perturbation
Schlage-Puchta’s lemma states that 𝐹(𝑔𝑛,…,𝑔𝑛+𝑘) ≠0 for almost all
𝑛, for every fixed nonzero 𝐹 ∈ℤ[𝑥0,…,𝑥𝑘] [18]. We say that an
integer sequence has fixed-block nonconcentration if it
satisfies this conclusion for every 𝑘 ≥0 and every such 𝐹. A bounded integer perturbation
preserves the property: there are only finitely many translated
polynomials to consider for each fixed block. No randomness or
independence assumption is required.
This nonconcentration condition excludes every bounded integer
sequence: if its values lie in a finite set 𝐸, the nonzero polynomial ∏𝑐∈𝐸(𝑥0 −𝑐) vanishes at every
index. It also excludes a sequence satisfying a fixed nonzero polynomial
relation on every short block, such as 𝑎𝑛 =𝑛, for which 𝑥1 −𝑥0 −1 vanishes. The density-zero
exceptional set depends on the fixed polynomial. There cannot be one
such set for all polynomials: 𝑥0 −𝑎𝑛 vanishes on the block beginning
at 𝑛, so a common exceptional set
would contain every index. No uniform estimate for growing families of
polynomials or block lengths is asserted.
In the next proposition, 𝑁,𝐻 are
nonnegative integers, ℎ is an
integer, and all counts are over integer indices and integer
triples.
Proposition 8.2 (finite counting for shifted gap
differences). Write 𝑝𝑛 for
the primes indexed from 𝑝0 =2 and
𝑔𝑛 =𝑝𝑛+1 −𝑝𝑛. For ℎ ≥2 and 𝑟 ∈ℤ, let 𝑀ℎ,𝑟(𝑁) count 𝑛 <𝑁 with 𝑔𝑛+ℎ −𝑔𝑛 =𝑟. Let 𝑄𝑁,𝐻,𝑟 count triples (𝑥,𝑑,𝑠) with 𝑥 <𝑝𝑁, 0 <𝑑 <𝑠 ≤𝐻, 𝑑 +𝑟 >0, and all four integers 𝑥,𝑥 +𝑑,𝑥 +𝑠,𝑥 +𝑠 +𝑑 +𝑟 prime. Then, for every
𝑁,𝐻 ≥0,
(𝐻+1)𝑀ℎ,𝑟(𝑁)≤(ℎ+1)𝑝𝑁+ℎ+1+(𝐻+1)𝑄𝑁,𝐻,𝑟.
Proof. For a counted index 𝑛, put 𝑥 =𝑝𝑛, 𝑑 =𝑔𝑛 and 𝑠 =𝑝𝑛+ℎ −𝑝𝑛. If the total span 𝑝𝑛+ℎ+1 −𝑝𝑛 is at most 𝐻, then 0 <𝑑 <𝑠 ≤𝐻, 𝑑 +𝑟 =𝑔𝑛+ℎ >0, and the four primes are
precisely 𝑥,𝑥 +𝑑,𝑥 +𝑠,𝑥 +𝑠 +𝑑 +𝑟. The
count 𝑄𝑁,𝐻,𝑟 need not require
these primes to be consecutive: it is an upper bound, and 𝑥 =𝑝𝑛 determines 𝑛, making the map injective. For the
remaining indices the integer span is at least 𝐻 +1. Each gap appears in at most ℎ +1 of the spans, so their total is at
most (ℎ +1)∑𝑖<𝑁+ℎ𝑔𝑖 <(ℎ +1)𝑝𝑁+ℎ+1.
Multiply the resulting bound on the exceptional count by 𝐻 +1 and add the small-span
contribution. ◻
Increasing 𝐻 reduces the bound
for long spans but enlarges the prime-pattern count. To deduce zero
density from this finite inequality, for each 𝜀 >0 and all large 𝑁 one needs a single choice of 𝐻 making the entire right side less than
𝜀𝑁(𝐻 +1). For ℎ =1, the same definitions give 𝑠 =𝑑, so 𝑥 +𝑑 =𝑥 +𝑠. The strict condition 𝑑 <𝑠 in the four-prime count fails;
that case requires a three-prime count instead. Zero density itself is
already known for every fixed ℎ ≥1
and 𝑟 ∈ℤ: apply Schlage-Puchta’s
lemma above to the nonzero polynomial 𝑥ℎ −𝑥0 −𝑟. Thus the finite reduction
should not be read as leaving that upper bound open. Neither upper bound
supplies the late occurrences or weighted-tail separation required for
irrationality.
For the perturbation claim, first suppose that 𝑎 has fixed-block nonconcentration and
every correction is either 0 or a
fixed integer 𝑀 ≥1. For a fixed
𝑟 ∈ℤ, an equality 𝑏𝑛+1 −𝑏𝑛 =𝑟 then requires 𝑎𝑛+1 −𝑎𝑛 ∈{𝑟 −𝑀,𝑟,𝑟 +𝑀}. Each of
these three equalities holds on a set of density zero. The general
argument uses the same finite-union step for translated polynomials.
Theorem 8.3 (nonconcentration is
perturbation-stable). Let 𝑎 :ℕ →ℤ have fixed-block
nonconcentration, let 𝐸 ⊂ℤ be
finite, and let 𝑏𝑛 =𝑎𝑛 +𝑒𝑛 with
𝑒𝑛 ∈𝐸 for every 𝑛. Then 𝑏 has fixed-block
nonconcentration.
Proof. Fix 𝑘 ≥0 and a
nonzero 𝐹 ∈ℤ[𝑥0,…,𝑥𝑘]. For
a tuple 𝐞 =(𝑒(0),…,𝑒(𝑘)) ∈𝐸𝑘+1 put 𝐹𝐞(𝑥0,…,𝑥𝑘) =𝐹(𝑥0 +𝑒(0),…,𝑥𝑘 +𝑒(𝑘)). The
substitution 𝑥𝑖 ↦𝑥𝑖 +𝑒(𝑖)
is a ring automorphism of ℤ[𝑥0,…,𝑥𝑘] with inverse 𝑥𝑖 ↦𝑥𝑖 −𝑒(𝑖), so 𝐹𝐞 ≠0. If 𝐹(𝑏𝑛,…,𝑏𝑛+𝑘) =0 then 𝐹𝐞(𝑎𝑛,…,𝑎𝑛+𝑘) =0 for
the tuple 𝐞 =(𝑒𝑛,…,𝑒𝑛+𝑘), whence
{𝑛:𝐹(𝑏𝑛,…,𝑏𝑛+𝑘)=0}⊆⋃𝐞∈𝐸𝑘+1{𝑛:𝐹𝐞(𝑎𝑛,…,𝑎𝑛+𝑘)=0}.
Each set on the
right has density zero by hypothesis, and there are only finitely many
such sets because 𝐸𝑘+1 is
finite. Their union therefore has density zero. ◻
Finiteness of the correction set is essential to this argument; no
independence between the corrections and the sequence is needed. Without
a restriction on the corrections, the choice 𝑒𝑛 = −𝑎𝑛 would give 𝑏𝑛 =0, which fails nonconcentration even
for the polynomial 𝑥0.
Corollary 8.4 (nonconcentration does not force
irrationality). Fix 𝑀 ≥1 and
𝐾 ≥0, and let 𝑏 be the perturbed sequence supplied by
Theorem 8.1 at
the actual prime gaps. Then ∑𝑛≥0𝑏𝑛2−(𝑛+1) is rational,
𝑏𝑛 =𝑔𝑛 for 𝑛 <𝐾, 𝑏𝑛 −𝑔𝑛 ∈{0,𝑀} and 𝑏𝑛 ≡𝑔𝑛(mod𝑀) for every 𝑛, 𝑏
has fixed-block nonconcentration, and the cumulative sequence 𝑃𝑛 =2 +∑𝑖<𝑛𝑏𝑖 satisfies 𝑝𝑛 ≤𝑃𝑛 ≤𝑝𝑛 +𝑀𝑛 and hence 𝑃𝑛 ∼𝑛log𝑛.
Proof. Theorem 8.1
gives the rational sum, prefix and congruence assertions. Summing 0 ≤𝑏𝑖 −𝑔𝑖 ≤𝑀 and using ∑𝑖<𝑛𝑔𝑖 =𝑝𝑛 −2 gives 𝑝𝑛 ≤𝑃𝑛 ≤𝑝𝑛 +𝑀𝑛. Now 𝑝𝑛 ∼𝑛log𝑛 [17] implies 𝑃𝑛 ∼𝑛log𝑛. The perturbation takes values in the fixed two-element
set 𝐸 ={0,𝑀}, so Theorem 8.3
applies to the actual gaps, which have fixed-block nonconcentration by
Schlage-Puchta’s lemma [18]. ◻
All the corollary’s properties hold for one rational-sum sequence;
the positions 𝑃𝑛 need not be
prime. Taking 𝑀 even also preserves
eventual evenness. In particular 𝑀 =2𝑞 preserves parity and modulus 𝑞, with 𝑏𝑛 ≤𝑔𝑛 +2𝑞. Nonconcentration remains a
fixed-polynomial, fixed-block assertion, not a uniform estimate for
growing families.
Proposition 8.5 (nonconcentration under sparse
changes). Let 𝑎,𝑏 :ℕ →ℤ
agree off a set 𝑆 of ordinary
density zero. If 𝑎 has fixed-block
nonconcentration, then so does 𝑏.
No boundedness assumption on 𝑎 −𝑏 is
needed.
Proof. Fix 𝑘 and a
nonzero 𝐹 ∈ℤ[𝑥0,…,𝑥𝑘]. The
two blocks agree unless 𝑛 +𝑖 ∈𝑆
for some 0 ≤𝑖 ≤𝑘. Consequently
|
|
|{𝑛<𝑁:𝐹(𝑏𝑛,…,𝑏𝑛+𝑘)=0}|
|
|≤|
|
|{𝑛<𝑁:𝐹(𝑎𝑛,…,𝑎𝑛+𝑘)=0}|
|
|+𝑘∑𝑖=0|𝑆∩[𝑖,𝑁+𝑖)|.
The first count is 𝑜(𝑁) by nonconcentration for 𝑎; the remaining finitely many counts are
𝑜(𝑁) because 𝑆 has density zero. The count concerns
the event 𝐹 =0, not the sizes of
𝐹 or the corrections. The sequence
𝑏 is already fixed, so this holds
for every fixed 𝐹,𝑘, without a
uniform estimate for growing polynomial families or block lengths. ◻
Corollary 8.6 (a rational sum with the stated
prime-gap statistics). For every prescribed finite prime-gap prefix
and 0 <𝜀 ≤1, there is
an altered sequence 𝑏 =𝑔 +𝑒, with
𝑃𝑛 =2 +∑𝑖<𝑛𝑏𝑖, for which
one can simultaneously impose a rational dyadic value, nonnegative
integer corrections eventually at most (log(𝑛 +3))𝜀, all fixed
eventual coefficient and cumulative congruences, fixed-block polynomial
nonconcentration, and vanishing total variation distance between
unnormalised block distributions for lengths 𝑜(loglog𝑋). The cumulative positions
satisfy
0≤𝑃𝑛−𝑝𝑛=𝑂𝜀(𝑛(log(𝑛+3))𝜀loglog𝑛),𝑃𝑛∼𝑛log𝑛.
Proof. Apply Theorem 2.1
to the actual gaps, choose a rational target in its interval, and fix
the resulting 𝑏 =𝑔 +𝑒.
Proposition 8.5
then transfers Schlage-Puchta’s nonconcentration [18] to this one sequence, for every
fixed polynomial and block length. To obtain the cumulative support
bound, split [√𝑛,𝑛) into
dyadic intervals, use loglog𝑥 ≍loglog𝑛 there, and bound the first √𝑛 indices trivially. Thus |𝑆 ∩[0,𝑛)| =𝑂(𝑛/loglog𝑛). The
pointwise correction bound gives the displayed estimate, including a
fixed constant for the exceptional prefix. Since (log𝑛)𝜀−1/loglog𝑛 →0
for 0 <𝜀 ≤1, the prime
number theorem [17] gives
the last conclusion. The position series is rational as well: reversing
the order of summation of nonnegative terms gives
∑𝑛≥0𝑃𝑛2𝑛+1=2+∑𝑖≥0𝑏𝑖∑𝑛>𝑖2−𝑛−1=2+∑𝑖≥0𝑏𝑖2𝑖+1∈ℚ.
The finite value on
the right also proves convergence on the left. ◻
The case 𝜀 >1 needs
no new construction: use exponent 1. Its corrections satisfy the larger
allowance, while the stronger error 𝑂(𝑛log(𝑛 +3)/loglog𝑛) =𝑜(𝑛log𝑛) still
preserves cumulative growth. Thus every positive exponent is available.
The construction supplies the support and correction estimates;
Schlage-Puchta’s lemma supplies nonconcentration of the original gaps,
and the prime number theorem supplies their cumulative asymptotic.
For each fixed integer 𝑦 ≥2,
take modulus 𝑦!. Once the
congruence holds and 𝑝𝑛 >𝑦,
gcd(𝑃𝑛,𝑦!) =1 excludes every prime
divisor at most 𝑦. This is stronger
than eventual oddness. The cutoff depends on 𝑦; primality would require this exclusion
up to √𝑃𝑛 at the same index.
Even prime-valued positions could omit intervening primes.
The bounded construction transfers nonconcentration by finitely many
polynomial translates, not by preserving block frequencies. The sparse
construction transfers block laws by leaving most blocks unchanged, with
absolute error tending to zero for 𝑚 =𝑜(loglog𝑋). Neither argument
preserves relative rare-event frequencies or the quantitative
prime-pattern hypotheses in Section 3.
Density of indices with two small tail differences
When the two tail differences have absolute value less than one and
the gaps are unequal, the calculation above restricts the gap difference
to 2 or −2. For each fixed shift,
Schlage-Puchta’s lemma gives density zero for both events. We use this
to bound the set of possible witnesses, without excluding witnesses at
arbitrarily large indices.
Theorem 8.7 (density zero for the small-difference
condition). Fix ℎ ≥1. The set
of 𝑁 ≥1 at which the three
hypotheses of Theorem 6.1 hold for the
actual prime gaps has density zero. For the same ℎ, the set of 𝑁 with 𝑔𝑁+ℎ+1 =𝑔𝑁+1 also has density
zero.
Proof. For 𝑁 ≥1 every
gap involved is even, so 𝛿𝑁 =𝑔𝑁+ℎ+1 −𝑔𝑁+1 is even. If
|𝜎ℎ(𝑁)| <1, |𝜎ℎ(𝑁 +1)| <1 and 𝛿𝑁 ≠0, then 𝛿𝑁 =2𝜎ℎ(𝑁) −𝜎ℎ(𝑁 +1) lies
in ( −3,3), so 𝛿𝑁 = ±2. Apply Schlage-Puchta’s
lemma [18] at
index 𝑛 =𝑁 +1 with 𝑘 =ℎ to the two polynomials 𝑥ℎ −𝑥0 −2 and 𝑥ℎ −𝑥0 +2, neither of which vanishes
identically: each of {𝑁 :𝛿𝑁 =2} and {𝑁 :𝛿𝑁 = −2} has density zero, and
the event is contained in their union. The second assertion is the same
lemma applied to 𝑥ℎ −𝑥0. ◻
Unequal gaps occur at almost every index, a stronger conclusion than
Proposition 6.3. But
combining unequal gaps with the two small tail differences forces their
difference to be exactly 2 or −2, which occurs only on a density-zero
set. Thus a proof of Problem 10.2 must find
arbitrarily large successful indices in that sparse set. A
positive-density lower bound for the same event is impossible. An
averaging argument that detects a sparse set is not ruled out.
The proof of Schlage-Puchta’s lemma gives a quantitative upper bound
as well. For fixed ℎ, it bounds the
number of eligible indices in [𝑋,2𝑋) by 𝑂ℎ(𝑋/loglog𝑋). To see the two
contributions, discard starts whose block of ℎ +1 gaps contains a gap exceeding log𝑋loglog𝑋. The sum of these block
sums is 𝑂ℎ(𝑋log𝑋) by the prime
number theorem, so there are at most 𝑂ℎ(𝑋/loglog𝑋) discarded starts. For
the remaining starts, the sieve calculation in the cited proof bounds
the zeros of each of 𝑥ℎ −𝑥0 −2 and
𝑥ℎ −𝑥0 +2 by
𝑂ℎ(𝑋(loglog𝑋)2ℎ+2log𝑋)=𝑜ℎ(𝑋loglog𝑋).
The shift from 𝑛 =𝑁 +1 changes only the band endpoints.
Thus the same upper bound applies to the indices satisfying the three
conditions of Theorem 6.1. This is an
ordinary consequence of the cited sieve argument, not a new lower bound
or an asymptotic formula for the number of successful indices.
The observed proportions in Section 9 decrease
across the sampled bands. These finite observations establish neither an
asymptotic rate nor the required existence beyond every cutoff. Counting
by prime size and counting by gap index also give different cutoffs and
must not be compared without converting between them.
Recurring gap values differing by two do not suffice
Theorem 6.4 needs
values differing by 2 at a
prescribed distance ℎ and a
complete tail difference in a signed interval. Recurrence of two values
in a residue class supplies neither requirement. We demonstrate this
with an integer sequence whose dyadic sum is rational and whose complete
tail differences are integral, while retaining the recurrence and growth
properties stated below. This is not a sequence of actual prime
gaps.
We reverse the usual order: choose integer 𝑈𝑛 first, then set 𝑎𝑛 =2𝑈𝑛−1 −𝑈𝑛. The construction must
still make the coefficients positive and ensure 2−𝑛𝑈𝑛 →0, so that these are actual
tails. Constant tails 𝑈𝑛 =4 give
constant coefficients 𝑎𝑛 =4.
Raising one isolated tail to 6
changes the two affected coefficients from 4,4 to 2,8, with the same combined dyadic
contribution. A slowly growing even background will supply cumulative
growth 𝑛log𝑛; factorial indices
will impose the recurrence in residue classes while keeping these
changes sparse.
Theorem 8.8 (recurring values are not enough).
There is a sequence (𝑎𝑛)𝑛≥1
of positive even integers with the following properties. The values
2 and 4 each occur infinitely often at indices
divisible by every fixed 𝑡 ≥1. The
sequence is unbounded, not eventually periodic, and satisfies 𝑎𝑛 =𝑂(log𝑛). The series ∑𝑛≥1𝑎𝑛2−𝑛 equals 6, and every scaled tail ∑𝑗≥1𝑎𝑁+𝑗2−𝑗 is an integer,
so every tail shift is integral. The increasing odd sequence 𝑃𝑛 =3 +∑𝑗≤𝑛𝑎𝑗 satisfies 𝑃𝑛 ∼𝑛log𝑛.
Proof. Put 𝑏𝑛 =2⌈12log(𝑛 +64)⌉, so
that 𝑏𝑛 is even, 𝑏𝑛 ≥6, and 𝑏𝑛 =log(𝑛 +64) +𝑂(1). Since 12log(𝑛 +65) −12log(𝑛 +63) <1
for every 𝑛 ≥1, consecutive
increments of 𝑏 lie in {0,2} and 𝑏𝑛+1 −𝑏𝑛−1 ≤2. Call an index 𝑛 special when 𝑛 =𝑘! or 𝑛 =2 𝑘! for some 𝑘 ≥5, and define
𝑈𝑛={2𝑏𝑛−1−2,𝑛=𝑘!, 𝑘≥5,2𝑏𝑛−1−4,𝑛=2𝑘!, 𝑘≥5,𝑏𝑛,otherwise,𝑎𝑛=2𝑈𝑛−1−𝑈𝑛(𝑛≥1).
For 𝑘 ≥5 one has 𝑘! <2 𝑘! <(𝑘 +1)!, so all special
indices are distinct. They are even and therefore never adjacent. Each
𝑈𝑛 is an even integer by
construction, so each 𝑎𝑛 is an
even integer.
At an ordinary index whose predecessor is also ordinary, 𝑎𝑛 =2𝑏𝑛−1 −𝑏𝑛 =𝑏𝑛−1 −(𝑏𝑛 −𝑏𝑛−1) ≥6 −2 =4.
At a special index the predecessor is ordinary and 𝑎𝑛 =2𝑏𝑛−1 −(2𝑏𝑛−1 −𝑟) =𝑟, which is
2 at 𝑛 =𝑘! and 4 at 𝑛 =2 𝑘!. Immediately after a special
index carrying 𝑟,
𝑎𝑛+1=2(2𝑏𝑛−1−𝑟)−𝑏𝑛+1≥4𝑏𝑛−1−2𝑟−(𝑏𝑛−1+2)=3𝑏𝑛−1−2𝑟−2≥8.
Every 𝑎𝑛 is therefore a positive even integer,
and 𝑈𝑛 =𝑂(log𝑛) gives 𝑎𝑛 =𝑂(log𝑛). For 𝑘 ≥5, the index 𝑛 =𝑘! +2 and its predecessor are ordinary:
both lie strictly between 𝑘! and
2 𝑘!, where there are no special
indices. Along these indices 𝑎𝑛 ≥𝑏𝑛−1 −2 →∞. Thus (𝑎𝑛) is unbounded and hence not
eventually periodic.
The definition 𝑎𝑛 =2𝑈𝑛−1 −𝑈𝑛
is exactly 𝑎𝑛2−𝑛 =𝑈𝑛−12−(𝑛−1) −𝑈𝑛2−𝑛, so
for every 𝑁 ≥0 and 𝑚 ≥1
𝑚∑𝑗=1𝑎𝑁+𝑗2𝑗=𝑈𝑁−𝑈𝑁+𝑚2𝑚.
Since 𝑈𝑛 =𝑂(log𝑛) the
endpoint tends to zero, so the tail at 𝑁 equals the integer 𝑈𝑁; at 𝑁 =0 the series equals 𝑈0 =𝑏0 =6. Every difference 𝑈𝑁+ℎ −𝑈𝑁 is an integer, so every tail
shift is integral.
For each 𝑡 and every
sufficiently large 𝑘 we have 𝑡 ∣𝑘!, hence 𝑡 ∣2 𝑘!, and 𝑎𝑘! =2 while 𝑎2𝑘! =4: both values recur infinitely
often at indices congruent to 0
modulo 𝑡.
Finally, summing 𝑎𝑗 =2𝑈𝑗−1 −𝑈𝑗 gives ∑𝑛𝑗=1𝑎𝑗 =2𝑈0 +∑𝑛−1𝑗=1𝑈𝑗 −𝑈𝑛.
The baseline ∑𝑗<𝑛𝑏𝑗 =𝑛log𝑛 +𝑂(𝑛). The special indices up to 𝑛 number 𝑂(log𝑛/loglog𝑛) and each changes the
summand by 𝑂(log𝑛), so their
total contribution is 𝑂((log𝑛)2) =𝑜(𝑛). Hence 𝑃𝑛 =3 +∑𝑗≤𝑛𝑎𝑗 ∼𝑛log𝑛, and 𝑃𝑛
is odd and increasing. ◻
The factorial indices used above give recurrence in the zero residue
class. The following separate construction strengthens this to every
residue class.
A rational series with recurring values in every residue class
There is a synthetic integer sequence (𝑎𝑛)𝑛≥1 with all of the following
properties. Each 𝑎𝑛 is positive
and divisible by 2, and
𝑎𝑛≤4log(𝑛+1)+24.
For every 𝑡 ≥1, every 0 ≤𝑟 <𝑡, and every cutoff 𝑁, there are 𝑖,𝑗 ≥𝑁 such that
𝑖≡𝑗≡𝑟(mod𝑡),𝑎𝑖=2,𝑎𝑗=4.
For every integer 𝐵
and cutoff 𝑁, some 𝑛 ≥𝑁 satisfies 𝑎𝑛 >𝐵. For every ℎ ≥1 there is no cutoff after which
𝑎𝑛+ℎ =𝑎𝑛 for all 𝑛. Nevertheless, all the complete tails
𝑈𝑁=∑𝑗≥1𝑎𝑁+𝑗2𝑗(𝑁≥0)
are integers, 𝑈0 =6, and 𝑈𝑁+ℎ −𝑈𝑁 ∈ℤ for every 𝑁,ℎ ≥0. The sequence
𝑃𝑁=3+𝑁∑𝑗=1𝑎𝑗
is strictly
increasing and odd, with 𝑃𝑁/(𝑁log𝑁) →1. These are synthetic positions; no 𝑃𝑁 is asserted to be prime.
Enumerate the triples (𝑡,𝑟,𝑚)
with 𝑡 ≥1, 0 ≤𝑟 <𝑡 and 𝑚 ≥0, each once. The extra index 𝑚 repeats each residue-class requirement
infinitely often; its parity will select the value 2 or 4. At the 𝑘th step choose a centre 𝑐𝑘 ≡𝑟(mod𝑡), subject to 𝑐0 ≥100, 𝑐𝑘+1 ≥𝑐𝑘 +3 and 𝑐𝑘 ≥2𝑘2 for 𝑘 ≥1. Each arithmetic progression is
unbounded, so these lower bounds can be met recursively. Set 𝑣𝑘 =2 for even 𝑚 and 𝑣𝑘 =4 for odd 𝑚. Thus each value is assigned beyond
every cutoff in each residue class. Use the even baseline
𝑏𝑛=6+2⌊log(𝑛+1)2⌋,𝑈𝑛={2𝑏𝑛−1−𝑣𝑘,𝑛=𝑐𝑘,𝑏𝑛,𝑛∉{𝑐𝑘:𝑘≥0},
and define 𝑎𝑛 =2𝑈𝑛−1 −𝑈𝑛. The
separation of the centres will ensure that 𝑎𝑐𝑘 =𝑣𝑘.
The baseline is even and at least 6. For 𝑛 ≥1, the increase of log(𝑛 +1) over two consecutive steps is
less than 2, so the floor in the
definition gives 𝑏𝑛 −𝑏𝑛−1 ∈{0,2} and 𝑏𝑛+1 −𝑏𝑛−1 ≤2. Away from a centre
and its successor, 𝑎𝑛 =2𝑏𝑛−1 −𝑏𝑛 ≥4. At a centre, 𝑎𝑐𝑘 =𝑣𝑘. Immediately afterwards,
𝑎𝑐𝑘+1=4𝑏𝑐𝑘−1−2𝑣𝑘−𝑏𝑐𝑘+1≥3𝑏𝑐𝑘−1−2𝑣𝑘−2≥8.
Since the centres are at least three
apart, these cases exhaust all indices. Also 0 <𝑈𝑛 ≤2𝑏𝑛, so 𝑎𝑛 ≤4𝑏𝑛−1 ≤4log(𝑛 +1) +24. The
indices 𝑛 =𝑐𝑘 +2 lie outside the
centres and their successors, because consecutive centres are at least
three apart. Along these indices 𝑎𝑛 ≥𝑏𝑛−1 −2 →∞. Thus the sequence is unbounded and cannot
be eventually periodic.
Finite telescoping gives
𝑚∑𝑗=1𝑎𝑁+𝑗2−𝑗=𝑈𝑁−𝑈𝑁+𝑚2−𝑚.
The bound 𝑈𝑛 =𝑂(log(𝑛 +1)) makes
the last term tend to zero. Hence the complete tail equals the integer
𝑈𝑁, and its initial value is 6. For the cumulative growth, 𝑏𝑛 =log(𝑛 +1) +𝑂(1) and there are at most
1 +√log2𝑁 centres up to
𝑁. Replacing 𝑏𝑛 by 𝑈𝑛 changes its partial sum by 𝑂((log𝑁)3/2). Therefore
𝑁∑𝑗=1𝑎𝑗=2𝑈0+𝑁−1∑𝑗=1𝑈𝑗−𝑈𝑁=𝑁log𝑁+𝑂(𝑁),
which gives the stated
asymptotic for 𝑃𝑁.
The full statement is kernel-checked
in Lean.
Even with all the displayed growth and recurrence properties, every
tail difference is integral. Requiring the values 2 and 4 in every residue class therefore does
not supply the signed tail interval. The construction is not a prime-gap
sequence: its logarithmic bound excludes the extreme large gaps of the
primes, so hypotheses using those gaps are not tested by this
example.
Polynomial coefficients and telescoping sums
We can construct further rational sums by starting with a polynomial
𝑈𝑛 and defining 𝑐𝑛+1 =2𝑈𝑛 −𝑈𝑛+1. Polynomial growth
gives the vanishing dyadic boundary condition, so the recurrence
identifies 𝑈𝑛 as the complete
tail. A quadratic choice already makes the coefficients positive and
increasing.
Proposition 8.9 (a quadratic sequence with integral
tails). Put 𝑐𝑛 =2(𝑛2 +4𝑛 +2)
and 𝑈𝑛 =2(𝑛 +4)2. Then 𝑐𝑛 is positive, even and strictly
increasing, 𝑈𝑛+1 =2𝑈𝑛 −𝑐𝑛+1,
every shift 𝑈𝑁+ℎ −𝑈𝑁 is
integral, 𝑐𝑛+1 −𝑐𝑛 =4𝑛 +10 is
never ±2, and
∑𝑗≥1𝑐𝑗2𝑗=32.
Proof. Direct expansion gives the recurrence, and the finite
telescope is ∑𝑛𝑗=1𝑐𝑗2−𝑗 =32 −2(𝑛 +4)22−𝑛,
whose last term tends to zero. The remaining assertions follow from the
integer values of 𝑈𝑛 and from
𝑐𝑛+1 −𝑐𝑛 =4𝑛 +10 ≥10. ◻
The series starts at 𝑗 =1 and
equals the initial rescaled tail 𝑈0 =32. Under the opening convention its
sum is ∑𝑛≥0𝑐𝑛2−(𝑛+1) =(𝑐0 +32)/2 =18.
Positivity, parity, strict growth, unboundedness and nonperiodicity are
therefore jointly compatible with rationality, and the adjacent-gap
condition of Theorem 6.4 fails at
every index. The telescoping mechanism is the one used in the note of
ChatGPT 5.4 Pro (orchestrated by Vjeko Kovač) against the
variable-denominator expectation of Erdős [24]; the sequence is not a result about
Problem #251.
Rationality also fails to force the coefficients to repeat. Let 𝐾 :ℕ →ℚ be arbitrary and put 𝜅𝑛 =2𝐾𝑛 −𝐾𝑛+1: the coefficient
of the telescoping series.
Proposition 8.10 (exact telescoping). For every
𝑛 ≥0, ∑𝑛−1𝑖=0𝜅𝑖2−(𝑖+1) =𝐾0 −𝐾𝑛2−𝑛.
Proof. The sum is empty when 𝑛 =0. Passing from 𝑛 to 𝑛 +1 adds (2𝐾𝑛 −𝐾𝑛+1)2−(𝑛+1) =𝐾𝑛2−𝑛 −𝐾𝑛+12−(𝑛+1),
which replaces the terminal term by the required one. ◻
The identity 𝜅𝑛 =2𝐾𝑛 −𝐾𝑛+1 has the algebraic
form used in the rationality criterion of Erdős and Straus when 𝑎𝑛 =2. That criterion has additional
hypotheses: for integers 𝑏𝑛 and
positive integers 𝑎𝑛 with 𝑎𝑛 >1 for all large 𝑛 and |𝑏𝑛|/(𝑎𝑛−1𝑎𝑛) →0, the series ∑𝑛𝑏𝑛/(𝑎1⋯𝑎𝑛) is rational
exactly when some positive integer 𝐵 and integers 𝑐𝑛 satisfy 𝐵𝑏𝑛 =𝑐𝑛𝑎𝑛 −𝑐𝑛+1 and |𝑐𝑛+1| <𝑎𝑛/2 for all large 𝑛 [7]. With 𝑎𝑛 =2, the smallness hypothesis becomes
|𝑏𝑛|/4 →0. Since the 𝑏𝑛 are integers, this forces 𝑏𝑛 =0 eventually. Thus the criterion in
this specialisation does not apply even to a bounded integer sequence
that is nonzero infinitely often, let alone to the positive prime gaps.
Proposition 8.10, by contrast,
imposes no growth condition on 𝐾.
The infinite series converges precisely when 2−𝑛𝐾𝑛 has a finite limit, and then
its sum is 𝐾0 −lim𝑛→∞2−𝑛𝐾𝑛. The sum
equals 𝐾0 precisely when that
limit is zero; polynomial growth suffices. For 𝐾𝑛 =2𝑛, every 𝜅𝑛 is zero, so the series converges
to 0, not to 𝐾0 =1.
Taking 𝐾0 =52 and 𝐾𝑛 =2𝑛 +2 for 𝑛 ≥1 gives 𝜅0 =1 and 𝜅𝑛 =2𝑛, so the coefficients 1,2,4,6,8,… are positive, even after
the first term, unbounded and not eventually periodic, while their
dyadic sum is 52. Rationality
alone therefore cannot imply eventual periodicity even for a positive,
parity-correct integer coefficient sequence, and rationality cannot be
contradicted merely by Proposition 6.3.
The arithmetic-progression formulations of nonintegrality do not
create new prime-distribution information. Their full definitions and
exact hypotheses are preserved in Appendix E.
Finite numerical searches
An enclosure must control both the omitted tail and arithmetic error.
The scans supply no bound for accumulated double-precision rounding, so
their counts remain observations even when the omitted tail is
rigorously bounded. By contrast, Proposition 6.6 and
Section 7 use
exact integer comparisons with linked Lean checks.
Over the 6 841 648 primes
below 1.2 ×108, the scan
tests ℎ =1,…,16 separately. For
each offset it records indices satisfying the signed inequalities in
Theorem 6.4, with
observed proportions between 0.00418 and 0.008248 and nearly balanced signs. The
reported counts do not require one index to work for all offsets. At
ℎ =1 it records 56 427 hits among 6 841 564 candidate indices, the last
at the prime 119 995 753.
Multiplying the observed proportion in each band by that band’s mean of
log𝑝 gives 0.17671 in the first band and 0.13148 in the last. This finite
observation establishes no asymptotic counting law and no occurrence
beyond every cutoff. The search
output is public.
A second scan uses the 1 270 607 primes below 2 ×107 and pairs of indices in the
half-open range 1 143 545 ≤𝑛,𝑚 <1 270 540. It searches each residue class modulo each
1 ≤𝑡 ≤20 for the condition of
Theorem 5.5,
selecting pairs with a next-gap difference of 2 and a tail difference in the specified
interval. At 𝑡 =20, every residue
class has at least 90 150 counted
pairs; pairs may share indices. For each class, the program also records
the larger index of a selected late witness. The minimum of those
recorded indices is 1 270 520; it
need not come from the class with the fewest pairs. For the saved sample
pairs, floating-point arithmetic gives both small-difference
inequalities. The scan supplies neither arbitrary moduli nor witnesses
beyond every prescribed cutoff. Its search
output is public. The computation
guide gives the programs, dependencies and commands to rerun both
searches and the 80000-bit
continued-fraction calculation of Section 7.
Appendix D.7 corrects
the stated justification of the tail bound in the free-pair program.
Remaining prime-gap estimates
For the actual tails, Theorem 5.3 makes
the first question equivalent to irrationality. The second requires two
small differences and a gap mismatch at the same index. A finite
certificate verifies one instance; both questions require witnesses
arbitrarily late for every positive shift.
Problem 10.1 (nonintegral tail differences of each
positive length). For every ℎ ≥1 and every 𝑁0, prove that some 𝑁 ≥𝑁0 satisfies
∑𝑗≥1𝑔𝑁+ℎ+𝑗−𝑔𝑁+𝑗2𝑗∉ℤ.(9)
Problem 10.2 (two small tail differences at
arbitrarily large indices). For every ℎ ≥1 and every 𝑁0, prove that some 𝑁 ≥𝑁0 satisfies
|
|
|𝜎ℎ(𝑁)|
|
|<1,|
|
|𝜎ℎ(𝑁+1)|
|
|<1,𝑔𝑁+ℎ+1≠𝑔𝑁+1.(10)
Problem 10.1, like the
congruent-index criterion of Theorem 5.5, is exact;
Problem 10.2 is only
sufficient. The counterexamples in Section 8 show why
the retained coefficient data do not supply the missing tail
information. They are not counterexamples about actual primes.
The successful indices have density zero by Theorem 8.7, so the required
existence theorem must detect a sparse set. A finite prefix is
compatible with a rational comparison series. Supplemented by a proved
remainder bound, however, it can certify one actual pair, as in
Proposition 6.6; it
does not establish occurrence beyond every cutoff.
Proposition 6.5
gives sufficient integer inequalities ensuring |𝜎ℎ(𝑁)| <1 at a chosen truncation
length 𝐿. Failure of such a test
need not mean that the complete tail lies outside the required interval:
its error interval may still cross an endpoint. For fixed ℎ and 𝜀 >0, the choice 𝐿 =⌈(4 +𝜀)log2(𝑁 +2)⌉
gives 𝐸ℎ,𝑁,𝐿 =𝑂ℎ,𝜀(𝑁−𝜀).
Indeed, 𝐿 =𝑂𝜀(log𝑁),
both arguments of the quartic 𝑃 are
𝑂ℎ,𝜀(𝑁), and 2−𝐿 ≤(𝑁 +2)−4−𝜀.
Requiring a fixed positive margin from both endpoints is stronger than
the strict inequalities in (10). At this
depth, the test bounds the signed integer 2𝐿𝐹ℎ,𝑁,𝐿, not just its residue modulo
2𝐿, and also requires 𝑔𝑁+ℎ+1 −𝑔𝑁+1 = ±2. For fixed ℎ and 𝜀, checking one certificate
uses 𝑂𝜀(log𝑁) gap
values and the explicit remainder bound. This counts data, not bit
operations. The unproved input is the existence of certified witnesses
beyond every cutoff for each fixed ℎ; constants uniform in ℎ are not required.
The following published results control gap sizes and clusters, not
the signed weighted sums required by this criterion. Zhang’s bounded-gap
theorem [21] produces
infinitely many bounded consecutive-prime gaps. Maynard bounds lim inf𝑛(𝑝𝑛+𝑚 −𝑝𝑛) for every fixed
𝑚, giving bounded clusters of every
fixed size [16], with
the explicit unconditional bound lim inf𝑛(𝑝𝑛+1 −𝑝𝑛) ≤600 [16]. Polymath subsequently
improved this to 246 [35]; neither numerical
bound controls the signed weighted tails required here. The large-gap
theorem of Ford, Green, Konyagin, Maynard and Tao gives an effective
lower bound for the largest single consecutive-prime gap below 𝑋 [8]. A theorem giving bounded clusters at
each fixed cluster size does not by itself supply a weighted condition
on blocks whose length grows with the basepoint, and none of these
results is used as a proof input here.
Conditionally the picture is different. Tao’s comment names uniform
quantitative prime-tuples control of about loglog𝑛 consecutive gaps as a possible
approach [23], and Land’s draft carries
that out under Kuperberg’s uniform prime-tuples conjecture [13]. The counterexamples in
Section 8 show that
the listed size, congruence and block-statistical properties alone do
not force irrationality. These constructions are not shown to enumerate
the consecutive primes, so they do not rule out arguments that combine
those properties with further information about primes.
Funding and competing interests.
This work received no external funding. The author declares no
competing interests.
Acknowledgements.
The problem numbering follows the Erdős Problems catalogue maintained
by Thomas Bloom [22]. The logarithmic-scale construction
and the transfer of nonconcentration come from earlier working materials
of this project, which were not an independent mathematical review.
An elementary polynomial bound for the primes
We derive the bound 𝑝𝑛 ≤1250(𝑛 +1)4 by comparing the size
and prime factorisation of a central binomial coefficient, following
Erdős’s proof of Chebyshev’s theorem [5]. With 𝜋(𝑥) denoting the number of primes at
most 𝑥, we first prove, for 𝑚 ≥4,
4𝑚<𝑚(2𝑚𝑚)≤𝑚(2𝑚)𝜋(2𝑚).(11)
For the first inequality, 𝑚(2𝑚𝑚)/4𝑚 equals 70/64 at 𝑚 =4 and its ratio at successive indices
is (2𝑚 +1)/(2𝑚) >1. For the
second, the exponent of a prime ℓ in (2𝑚𝑚) is ∑𝑘≥1(⌊2𝑚/ℓ𝑘⌋ −2⌊𝑚/ℓ𝑘⌋), each summand is 0 or 1, and every summand with ℓ𝑘 >2𝑚 vanishes; the exponent is
therefore at most ⌊logℓ(2𝑚)⌋. Thus the
full power of each prime appearing in (2𝑚𝑚) is at most 2𝑚. Multiplying over at most 𝜋(2𝑚) distinct primes gives the second
inequality.
Now fix 𝑛 ≥0, put 𝑥 =𝑛 +5 and 𝑚 =𝑥4 ≥625, and suppose 𝜋(2𝑚) ≤𝑛. Since 𝑥 ≤2𝑥 and 𝑛 +4(𝑛 +1)𝑥 =4𝑥2 −15𝑥 −5 ≤2𝑥4,
𝑚(2𝑚)𝑛=2𝑛𝑥4(𝑛+1)≤2𝑛+4(𝑛+1)𝑥≤22𝑥4=4𝑚,
contradicting (11). Hence
𝜋(2𝑚) >𝑛, so at least 𝑛 +1 primes lie below 2𝑚 and therefore
𝑝𝑛≤2(𝑛+5)4≤1250(𝑛+1)4,
the last
step because (𝑛 +5) ≤5(𝑛 +1) for
𝑛 ≥0. The coarser bound 𝑝𝑛 ≤1250(𝑛 +1)4 is checked by the
kernel at line 360.
Integer certificates
This calculation checks two different finite conclusions from freshly
computed primes below 104: the two
small-pair rows of Proposition 6.6, and
the determinant and endpoint comparisons in Theorem 7.1. All
arithmetic is integral; the four bracketing integers come from the
linked Lean proof. The program checks those integers, not the analytic
prime bound used to turn them into enclosures. Adjacent quoted strings
are concatenated by Python to keep the printed integers legible.
from math import isqrt
primes = [n for n in range(2, 10000)
if all(n % d for d in range(2, isqrt(n) + 1))]
gaps = [q - p for p, q in zip(primes, primes[1:])]
P = lambda x: x**4 + 8*x**3 + 36*x*x + 104*x + 150
Q = 2**40
expected = [(-662838684750, 11764181250),
(873345886050, 12805761250)]
for N, target in zip((2, 3), expected):
D = sum((gaps[N+1+j] - gaps[N+j])*2**(40-j)
for j in range(1, 41))
B = 1250*(P(N+43) + P(N+42))
distance = min(D % Q, Q - D % Q)
if (D, B) != target or not (abs(D)+B < Q and B < distance):
raise ArithmeticError("tail certificate failed")
if gaps[4] == gaps[3]:
raise ArithmeticError("gap mismatch failed")
u = int(
"8065641857152652932176019632186898003271162829171466334827"
"3083607794415278717445033509407855988903369988525550746159"
"7355889792250084202344821020139160956663658789718168152662"
"0217"
)
v = int(
"2194945124413663232143970924541263312422069524635615360518"
"4247077351958221816830720189289904831662955084392690248683"
"1216291723988537733235173040607254496838530213867781442335"
"1745"
)
up = int(
"6539437101498162626882411892470905222108260008568555445975"
"3026163315521784668689909712759876562484620059098138417469"
"5232839888185316374272333277389611483117334000493867584923"
"912"
)
vp = int(
"1779611075789866551198427241621709630120136323281598176637"
"8490605249229735501968764904036152970729491656650873938580"
"6203025466313389810291243786005499164537499383612081805160"
"767"
)
c = len(primes)
A = sum(p*2**(c-1-i) for i, p in enumerate(primes))
checks = (c == 1229,
u > 0 and v > 0 and up > 0 and vp > 0,
up*v - u*vp == 1,
u*2**c < A*v,
(2*A + 5000*(c+1)**4)*vp < up*2**(c+1),
v+vp >= 2**589,
2**589 > 10**177)
if not all(checks):
raise ArithmeticError("denominator certificate failed")
print("Both tail rows and the denominator floor verified.")
Verification and reproducibility
The source links identify definitions and proof steps at fixed
revisions; the short paper’s source index retains its different revision
in Appendix G. The
formal sparse construction changes one coordinate per stage, whereas the
printed proof uses triples. Both fix a set containing all correction
supports, the interval of sums and the modulus cutoffs before choosing a
value. The formal proofs use the published inputs stated below; the
linked declarations do not check the different printed arguments step by
step.
Lean 4 [14] and
mathlib [15] supply the
proof-checking environment. The evidence
record lists the declarations and checks. The programs for the
searches in Section 9 are in the
computation
guide. The program in Appendix B checks the
adjacent pair and the bound 2589; the independent program of
Section 7
checks the certificate of Theorem 7.2. Formal
checking does not establish novelty or attribution.
The summation-by-parts identity and the polynomial prime bound
concern the actual primes. The recurrence results apply to arbitrary
integer coefficients and, as stated, to rational or real sequences;
substituting the actual prime-gap tail requires its convergence and
boundary condition. The finite certificates use the same polynomial
bound to control the omitted terms. The counterexamples concern other
coefficient sequences and construct no new primes.
The Lean proofs of three results assume published inputs that the
Lean development does not prove. The Lean proof of Theorem 8.7 assumes
Schlage-Puchta’s Lemma 4 [18]; for a fixed nonzero integer
polynomial in a fixed block of consecutive prime gaps, it states that
the set of indices where the polynomial vanishes has density zero. Those
of Corollaries 8.4
and 8.6
assume that lemma and the prime number theorem in the form 𝑝𝑛 ∼𝑛log𝑛 [17]. What each statement adds to these inputs is
checked, including the estimate that the corrected sequence of
Corollary 8.6
differs from the prime gaps at 𝑂𝜀(𝑛/loglog𝑛) indices below
𝑛, which uses no information about
the distribution of primes.
Further criteria, examples and computational details
These further results concern the recurrence and actual-tail tests,
not the sparse construction. We separate exact reformulations from
stronger sufficient conditions, explain why refining one fixed enclosure
differs from controlling enclosures at changing indices, and compare
repeated tail values with the nonintegral differences the criteria
require. A bounded counterexample, the complete numerical table and two
corrections are retained below.
Totient-length shifts and persistence of integrality
Once the denominator is odd, Euler’s congruence specifies an integral
shift of totient length. We record this choice and then prove that an
integral shift persists under each subsequent recurrence step.
Proposition D.1 (a shift of totient length). Let
𝑇 :ℕ →ℚ satisfy the dyadic tail
recurrence with integer coefficients. If the reduced denominator 𝑑 of 𝑇𝑁 is odd, then 𝜎𝜑(𝑑)(𝑁) is an
integer.
Proof. Since 𝑑 is odd,
2 and 𝑑 are coprime, so Euler’s congruence
gives 𝑑 ∣2𝜑(𝑑) −1. Writing
2𝜑(𝑑) −1 =𝑑𝑘 and 𝑇𝑁 =𝑢/𝑑 in lowest terms, (2𝜑(𝑑) −1)𝑇𝑁 =𝑘𝑢 is an integer, and
the integral-shift criterion transfers this to the shift. ◻
Proposition D.2 (propagation). Let 𝑇 :ℕ →ℝ satisfy 𝑇𝑛+1 =2𝑇𝑛 −𝑎𝑛+1 with integer
coefficients, and define 𝜎ℎ(𝑁) =𝑇𝑁+ℎ −𝑇𝑁. For fixed ℎ,𝑁 ≥0, if 𝜎ℎ(𝑁) is an integer, then 𝜎ℎ(𝑁 +𝑘) is an integer for every
𝑘 ≥0.
Proof. The shift step identity gives 𝜎ℎ(𝑁 +1) =2𝜎ℎ(𝑁) −(𝑎𝑁+ℎ+1 −𝑎𝑁+1),
an integer combination of an integer and two coefficients. Induct on
𝑘. ◻
These are the totient shift and the propagation theorems cited in the
note. For example, if den𝑇𝑁 =3 then 𝜑(3) =2 and 3𝑇𝑁 is an integer, so 𝜎2(𝑁) is integral while 𝜎1(𝑁) is not; if den𝑇𝑁 =5 then 𝜎4(𝑁) is integral. In the orbit
with every coefficient zero and 𝑇0 =1/12, the denominator is 12 =22 ⋅3, the orbit reaches 𝑇2 =1/3 with odd denominator at 𝑠 =2, and ℎ =𝜑(3) =2 is exactly the shift length
seen to be integral from index 2
onwards. The totient supplies one length, while the exact criterion is
den(𝑇𝑁) ∣2ℎ −1.
At an index with odd denominator 𝑑 >1, the least positive length is the
multiplicative order of 2 modulo
𝑑. When 𝑑 =1, every positive length works; before
the denominator becomes odd, no positive length works.
The finite truncation criterion
For the actual gaps, we enclose each complete weighted difference by
a finite sum and a bound on the omitted terms. A nonnegative summable
majorant gives such an enclosure, but need not provide a computable
remainder. Proposition 6.5
supplies the rational bound used in the finite tests.
Proposition D.3 (finite truncation). Let 𝑀 :ℕ →ℝ satisfy 𝑀(𝑛) ≥𝑔𝑛 for every 𝑛 and ∑𝑛≥0𝑀(𝑛)2−𝑛 <∞, and put
𝑆ℎ,𝑁,𝐿=𝐿∑𝑗=1𝑔𝑁+ℎ+𝑗−𝑔𝑁+𝑗2𝑗,𝑅ℎ,𝑁,𝐿(𝑀)=∑𝑗>𝐿𝑀(𝑁+ℎ+𝑗)+𝑀(𝑁+𝑗)2𝑗.
If
for every ℎ ≥1 and every 𝑁0 there are 𝑁 ≥𝑁0 and 𝐿 ≥1 with dist(𝑆ℎ,𝑁,𝐿,ℤ) >𝑅ℎ,𝑁,𝐿(𝑀),
then the nonintegrality condition in Problem 10.1 holds.
Proof. The part of ∑𝑗≥1(𝑔𝑁+ℎ+𝑗 −𝑔𝑁+𝑗)2−𝑗
omitted from 𝑆ℎ,𝑁,𝐿 has absolute
value at most 𝑅ℎ,𝑁,𝐿(𝑀), so
under the displayed inequality the full sum lies at positive distance
from every integer. ◻
With 𝑀(𝑛) =1250(𝑛 +2)4, the
quantities 𝑆ℎ,𝑁,𝐿 and 𝑅ℎ,𝑁,𝐿(𝑀) are exactly 𝐹ℎ,𝑁,𝐿 and 𝐸ℎ,𝑁,𝐿 from Proposition 6.5. The
same enclosure therefore tests separation from the integers, without
requiring either of the two consecutive differences to be small. To
compute the distance from the truncated sum to ℤ, write the weighted block sum as
𝐷ℎ,𝑁,𝐿=𝐿∑𝑗=12𝐿−𝑗(𝑔𝑁+ℎ+𝑗−𝑔𝑁+𝑗),𝑆ℎ,𝑁,𝐿=𝐷ℎ,𝑁,𝐿2𝐿.
Then
dist(𝑆ℎ,𝑁,𝐿,ℤ)=2−𝐿min{𝐷ℎ,𝑁,𝐿mod2𝐿,2𝐿−(𝐷ℎ,𝑁,𝐿mod2𝐿)},
where 𝐷ℎ,𝑁,𝐿mod2𝐿 is the least
nonnegative residue, including when 𝐷ℎ,𝑁,𝐿 <0. The criterion requires
this residue to be more than 2𝐿𝑅ℎ,𝑁,𝐿(𝑀) from both 0 and 2𝐿. One successful comparison certifies
nonintegrality at that index; a failed comparison is inconclusive.
Irrationality requires such certificates arbitrarily late for every
positive ℎ. At prescribed
logarithmic depth, the needed residue must be farther from both
endpoints than the error bound. With the polynomial majorant in
Proposition 6.5, the
remainder bound is rational and explicit, so the whole test reduces to
integer comparisons. The modular rewriting is an ordinary deduction, not
a separately checked Lean declaration.
Proposition D.4 (completeness of finite separation).
Suppose 𝐷 ∈ℝ, 𝑆𝐿 ∈ℝ and 𝑅𝐿 ≥0 satisfy |𝐷 −𝑆𝐿| ≤𝑅𝐿 and 𝑅𝐿 →0. Then
𝐷∉ℤ⟺there exists 𝐿 with dist(𝑆𝐿,ℤ)>𝑅𝐿.
Proof. The reverse implication follows from the triangle
inequality. For the forward implication put 𝛿 =dist(𝐷,ℤ) >0.
For all sufficiently large 𝐿, one
has 𝑅𝐿 <𝛿/2, and the 1-Lipschitz property of distance gives
dist(𝑆𝐿,ℤ) ≥𝛿 −𝑅𝐿 >𝑅𝐿.
No monotonicity of the errors is required. ◻
For fixed ℎ,𝑁, increasing the
depth eventually certifies every nonintegral 𝜎ℎ(𝑁). This is not a decision
procedure for integrality: finitely many failed tests prove nothing,
although a proof of failure at every depth implies integrality. It gives
neither a prescribed depth as 𝑁
varies nor arbitrarily late successful indices. For example, [1 −2−𝑁,1 +2−𝑁] contains both the
noninteger 1 +2−2𝑁 and the
integer 1 for every 𝑁 ≥1. The radii shrink, but the values
also change; no enclosure certifies nonintegrality. Completeness keeps
the value fixed while refining its enclosure.
Nonintegral differences at multiples of each shift
We may ask for a nonintegral multiple of each prescribed shift
length. The following formulation still has the full strength of
irrationality, as the argument after the question shows.
Problem D.5 (multiples of each shift). For every
𝑟 ≥1, is there an 𝑚 ≥1 such that the tail differences of
length 𝑚𝑟 are nonintegral at
arbitrarily large indices, as in (9)?
This is an exact reformulation, not a weaker mathematical target. If
𝑇0 is irrational, every positive
shift is nonintegral by the block identity, so the stated condition
follows with 𝑚 =1. Conversely,
rationality gives a shift ℎ ≥1
that is integral at every sufficiently late index. For each positive
integer 𝑚, the identity
𝑇𝑁+𝑚ℎ−𝑇𝑁=𝑚−1∑𝑗=0(𝑇𝑁+(𝑗+1)ℎ−𝑇𝑁+𝑗ℎ)
makes every multiple 𝑚ℎ eventually
integral. Taking 𝑟 =ℎ contradicts
the stated condition. This ordinary deduction uses the checked
rationality classification and a finite telescope; rearranging the
quantifiers supplies no new estimate for the actual prime gaps.
Repeated tail values and congruent indices
For the complete actual tails 𝑇𝑁 =∑𝑗≥1𝑔𝑁+𝑗2−𝑗, the prime
number theorem controls the mean size without assuming rationality.
Rationality would then restrict these tails to a fixed rational lattice,
forcing many repetitions by pigeonhole. Repetition gives difference
zero, not the nonintegral difference required at congruent indices. We
make both steps explicit. These are ordinary deductions; the linked
formal results establish the recurrence and the congruent-index
criterion.
Repeated tail values.
For an integer 𝑋 ≥0, summing
𝑔𝑁+1 =2𝑇𝑁 −𝑇𝑁+1 over 0 ≤𝑁 <𝑋 gives the exact identity
𝑋∑𝑁=0𝑇𝑁=𝑝𝑋+1−𝑝1−𝑇0+2𝑇𝑋≤(𝑝𝑋+1−𝑝0)+2𝑇𝑋.
The inequality uses 𝑇0 ≥0 and 𝑝1 ≥𝑝0. The prime number theorem
[17] also gives
𝑇𝑋𝑝𝑋=∑𝑗≥1𝑔𝑋+𝑗2𝑗𝑝𝑋⟶0.(12)
Indeed, for each fixed 𝑗, both 𝑝𝑋+𝑗+1/𝑝𝑋 and 𝑝𝑋+𝑗/𝑝𝑋 tend to 1, so their difference 𝑔𝑋+𝑗/𝑝𝑋 tends to zero. For the
uniform bound needed to pass the limit through the sum, the two-sided
estimates 𝑝𝑛 ≍𝑛log𝑛 give
one constant 𝐾 such that, for 𝑋 ≥2 and 𝑗 ≥1,
𝑔𝑋+𝑗𝑝𝑋≤𝐾(𝑋+𝑗+1)log(𝑋+𝑗+1)𝑋log𝑋≤𝐾(1+𝑗)(1+log(1+𝑗)log𝑋)≤𝐾(1+𝑗)2.
The second line uses 𝑋 +𝑗 +1 ≤𝑋(1 +𝑗) and log(1 +𝑗) ≤𝑗log2 ≤𝑗log𝑋. Since
∑𝑗≥1(1 +𝑗)22−𝑗 <∞, dominated convergence applies. Subtracting
the exact summation identities at 2𝑋 and 𝑋 now gives
∑𝑋<𝑁≤2𝑋𝑇𝑁=𝑝2𝑋+1−𝑝𝑋+1+2(𝑇2𝑋−𝑇𝑋)∼𝑋log𝑋.
Indeed, the prime difference is asymptotic to
𝑋log𝑋, and (12)
makes both tail terms 𝑜(𝑋log𝑋).
Thus the mean complete tail in this band is asymptotic to log𝑋, without a rationality assumption.
This is a mean, not a pointwise estimate. For the counting argument we
only need the upper bound ∑𝑋<𝑁≤2𝑋𝑇𝑁 ≤𝐾0𝑋log𝑋,
valid for any fixed 𝐾0 >1 and
all sufficiently large 𝑋. For each
fixed 𝐶 >1, Markov’s inequality
then leaves at least (1 −1/𝐶)𝑋
indices with 𝑇𝑁 ≤𝐾0𝐶log𝑋.
Under rationality, take 𝑋 beyond
the point where the reduced denominator is the fixed odd integer 𝑑. Among the indices just selected by
Markov’s inequality, the values lie in 𝑑−1ℤ≥0 ∩[0,𝐾0𝐶log𝑋]. There
are at most 𝑑𝐾0𝐶log𝑋 +1 such
values. Pigeonhole therefore gives one value occurring at least
(1−1/𝐶)𝑋𝑑𝐾0𝐶log𝑋+1
times.
Taking, for example, 𝐾0 =2 gives a
lower bound of order ≫𝐶,𝑑𝑋/log𝑋. The value may depend on 𝑋; no single value recurring in every
band is established.
The growth input is essential: the rational quadratic example in
Proposition 8.9
has strictly increasing tails 𝑇𝑁 =2(𝑁 +4)2. For the primes, however,
repeated values give zero difference, not the required nonintegral
one.
The terminal term in the exact identity cannot simply be omitted. The
factorial-gap argument in the proof of Proposition 6.3 shows
that 𝑇𝑋 ≥𝑔𝑋+1/2 is unbounded,
whereas 𝑝1 +𝑇0 is fixed. The exact
identity therefore gives ∑𝑋𝑁=0𝑇𝑁 >𝑝𝑋+1 for
arbitrarily large 𝑋. It does not
establish that this strict inequality holds eventually.
The interval condition at congruent indices.
Suppose the sum is rational, let 𝑑 be the eventual odd reduced
denominator, and let 𝑡 be the order
of 2 modulo 𝑑, with 𝑡 =1 when 𝑑 =1. Beyond the denominator cutoff, 𝑀 ≡𝑁(mod𝑡) forces 𝑇𝑀 −𝑇𝑁 ∈ℤ. Neither this difference nor
its negative can then lie in (12,1). Thus a witness in that
interval, at two such congruent indices, would contradict rationality
without a further condition on the intervening gaps. This uses only the
interval occurring in Theorem 6.4; it does
not assert that its other hypotheses hold for arbitrary congruent
pairs.
A bounded sequence with recurring values and a rational sum
The following bounded example isolates the recurring-values argument
without a growth estimate. Logarithmic growth was needed in
Theorem 8.8 to obtain
cumulative size 𝑛log𝑛, but is
unnecessary for the recurrence itself.
Proposition D.6 (recurring values with integral
tails). Put 𝑈0 =4 and, for
𝑛 ≥1, 𝑈𝑛 =6 when 𝑛 =𝑘! for some 𝑘 ≥3 and 𝑈𝑛 =4 otherwise, and set 𝑎𝑛 =2𝑈𝑛−1 −𝑈𝑛 for 𝑛 ≥1. Then 𝑎𝑛 ∈{2,4,8}. For every 𝑘 ≥3, the value 2 occurs at index 𝑘! and the value 4 at index 2 𝑘!, so both recur infinitely often at
indices divisible by any fixed 𝑡 ≥1. The series ∑𝑛≥1𝑎𝑛2−𝑛 equals 4 and every tail ∑𝑗≥1𝑎𝑁+𝑗2−𝑗 equals the
integer 𝑈𝑁.
Proof. For 𝑘 ≥3 the
index 𝑘! is even and at least 6, and 𝑘! −1 is odd, so the preceding tail is
4; hence 𝑎𝑘! =8 −6 =2, 𝑎𝑘!+1 =12 −4 =8, and 𝑎𝑛 =8 −4 =4 elsewhere. For 𝑘 ≥2 one has 𝑘! <2 𝑘! <(𝑘 +1)!, so 2 𝑘! is not a factorial. Its odd
predecessor 2 𝑘! −1 ≥3 is not a
factorial either; therefore 𝑎2𝑘! =4. Since 𝑡 ∣𝑘! for every large 𝑘, both values recur in the residue class
0 modulo 𝑡. The identity 𝑎𝑛2−𝑛 =𝑈𝑛−12−(𝑛−1) −𝑈𝑛2−𝑛
telescopes to ∑𝑚𝑗=1𝑎𝑁+𝑗2−𝑗 =𝑈𝑁 −𝑈𝑁+𝑚2−𝑚,
and 𝑈 is bounded, so the endpoint
vanishes. ◻
The indices with coefficient 2
are precisely the factorials 𝑘!,
𝑘 ≥3. They occur infinitely often
with unbounded gaps, which is impossible for a value recurring in an
eventually periodic sequence. Thus even this bounded coefficient
sequence is nonperiodic, despite its rational dyadic sum. Its cumulative
sum has linear growth. The logarithmic construction in Theorem 8.8 adds
unboundedness and cumulative growth 𝑁log𝑁 without changing the telescoping mechanism. Neither
construction guarantees prime cumulative positions.
Numerical counts and proportions
The scan in Section 9 used the
6 841 648 primes below 1.2 ×108 and computed
double-precision tails for offsets ℎ ≤16. We reproduce its reported counts
for ℎ =1,…,4. The denominator
of each proportion is the number of tested basepoints, 6 841 565 −ℎ, rather than the prime
count.
| ℎ |
events |
proportion |
𝛿 = +2 |
𝛿 = −2 |
last event at prime |
| 1 |
56 427 |
0.008248 |
28 022 |
28 405 |
119 995 753 |
| 2 |
31 979 |
0.004674 |
15 742 |
16 237 |
119 993 807 |
| 3 |
30 233 |
0.004419 |
15 093 |
15 140 |
119 998 321 |
| 4 |
29 262 |
0.004277 |
14 606 |
14 656 |
119 993 473 |
These are separate counts for each offset 1 ≤ℎ ≤16, not counts of indices
successful for all offsets at once. The proportions range from 0.00418 to 0.008248, with nearly balanced signs at
each offset. For ℎ =1, the first row
below gives the proportions in the eight bands; the second multiplies
each by its band’s mean of log𝑝:
0.011285,0.008951,0.008303,0.007936,0.007651,0.007507,0.007253,0.007094;0.17671,0.15058,0.14420,0.14067,0.13766,0.13667,0.13333,0.13148.
The ratio of the last rescaled proportion to the
first is 0.744 at ℎ =1 and lies between 0.744 and 0.8121 across the measured offsets.
Theorem 8.7
gives limiting density zero for each fixed offset. The bound 𝑂ℎ(𝑋/loglog𝑋) derived after its proof
is only an upper bound; it predicts neither a monotone decline nor an
asymptotic proportion. The finite-band ratios therefore do not establish
an asymptotic rate.
Two corrections
We distinguish a bound for the actual tail from the polynomial series
used to compute it, and then correct an insufficient offset
condition.
The tail bound in the free-pair program.
The 4096-bit free-pair program
linked through Section 9 bounds
𝑇𝑠 by summing the first 400 terms of 1250(𝑠 +𝑗 +2)42−𝑗 after rounding each
down, then adding 1. This does not
necessarily bound that polynomial series: at the recorded 𝑠 =1 270 306, the returned value is
40 below the exact sum 1250𝑃(𝑠 +2), with 𝑃 as in Proposition 6.5.
The returned bound nevertheless has a valid justification. The
stronger estimate 𝑝𝑛 ≤2(𝑛 +5)4
proved in Appendix A gives
𝑇𝑠≤2𝑃(𝑠+6)<625(𝑠+3)4(𝑠≥0).
The last expression is already the first summand of the program, and all
its remaining summands are nonnegative. The strict inequality follows
from
625(𝑠+3)4−2𝑃(𝑠+6)=623𝑠4+7436𝑠3+32958𝑠2+62972𝑠+40437>0.
Thus the returned
bound exceeds the actual tail, even though its stated comparison with
the larger polynomial series fails. This validates the analytic bound
only; it neither controls floating-point errors in other scans nor
reruns the denominator-exclusion search.
An insufficient condition.
Theorem 5.5 allows the
offset to vary. For each modulus 𝑡,
one must still find pairs of congruent indices beyond every prescribed
cutoff whose tail difference is nonintegral. Two even coefficient values
differing by 2, each occurring
infinitely often in the same residue class of indices, do not give the
required tail difference for an integer-coefficient recurrence: the
sequence of Theorem 8.8 has both
properties and only integral tail shifts.
Arithmetic-progression reformulations of integrality
A longer observed block can appear to provide a stronger arithmetic
test. Here it does not: the recurrence inserts the same block sum into
the quantity tested and into the comparison progression, so that sum
cancels. The moving progression tests even integrality of the original
difference. Under the stated growth bound, separation from the fixed
progression 2𝑟ℤ tests
nonintegrality. We record the two reductions separately.
Fix ℎ and abbreviate 𝐷𝑁 =𝜎ℎ(𝑁) and 𝛿𝑁 =𝑔𝑁+ℎ+1 −𝑔𝑁+1. Iterating
over a longer block gives
𝐵ℎ,𝑁,𝑟=𝑟−1∑𝑖=02𝑟−1−𝑖𝛿𝑁+𝑖;𝐷𝑁+𝑟=2𝑟𝐷𝑁−𝐵ℎ,𝑁,𝑟.
Both the progression −𝐵ℎ,𝑁,𝑟 +2𝑟+1ℤ and the value 𝐷𝑁+𝑟 contain the same integer offset.
Substituting the recurrence cancels it, leaving a condition on 𝐷𝑁 alone. Thus increasing the block
length in this particular test adds no arithmetic information.
Theorem E.1 (equivalent arithmetic-progression
tests). For every rational dyadic tail recurrence and all ℎ,𝑁,𝑟 ≥0,
𝐷𝑁+𝑟∈−𝐵ℎ,𝑁,𝑟+2𝑟+1ℤ⟺𝐷𝑁∈2ℤ.(13)
Consequently, if every 𝛿𝑁 is even, then
(∀𝑁0 ∃𝑁,𝑟: 𝑁0<𝑁 and 𝐷𝑁+𝑟∉−𝐵ℎ,𝑁,𝑟+2𝑟+1ℤ)⟺𝐷𝑁∉ℤ for arbitrarily large 𝑁.(14)
There is a second equivalence. Let 𝑏 :ℕ →ℚ satisfy |𝐷𝑁| ≤𝑏(𝑁) for every 𝑁, and suppose that for every 𝑁 and every positive integer 𝑞 there is an 𝑟 with
2𝑏(𝑁+𝑟)𝑞<2𝑟.(15)
Then
∀𝑁0 ∃𝑁,𝑟: 𝑁0<𝑁 and ∀𝑧∈ℤ,𝑏(𝑁+𝑟)<|𝐵ℎ,𝑁,𝑟−2𝑟𝑧|⟺𝐷𝑁∉ℤ for arbitrarily large 𝑁.(16)
Proof. Substituting 𝐷𝑁+𝑟 =2𝑟𝐷𝑁 −𝐵ℎ,𝑁,𝑟 into the first
membership condition cancels the observed block from both sides and
leaves 𝐷𝑁 =2𝑧. This proves (13). When every
𝛿𝑁 is even, the recurrence
also gives 𝐷𝑁+1 ∈2ℤ if and
only if 𝐷𝑁 ∈ℤ. Thus eventual
integrality would force eventual even integrality and contradict the
left side of (14). This proves the
forward implication. Conversely, given a cutoff, choose a nonintegral
𝐷𝑁 beyond it and take 𝑟 =0 in (13).
For (16),
eventual integrality and the block identity give some 𝑧 ∈ℤ with
𝐵ℎ,𝑁,𝑟−2𝑟𝑧=−𝐷𝑁+𝑟,
so the
displayed strict separation contradicts |𝐷𝑁+𝑟| ≤𝑏(𝑁 +𝑟). Conversely, if 𝐷𝑁 is nonintegral, choose a positive
integer 𝑞 with 1/𝑞 ≤dist(𝐷𝑁,ℤ). Such a
𝑞 exists because ℤ is closed and 𝐷𝑁 ∉ℤ. Choose 𝑟 from (15). The block
identity and the triangle inequality give, for every 𝑧 ∈ℤ,
|𝐵ℎ,𝑁,𝑟−2𝑟𝑧|≥2𝑟|𝐷𝑁−𝑧|−|𝐷𝑁+𝑟|≥2𝑟𝑞−𝑏(𝑁+𝑟)>𝑏(𝑁+𝑟).
The same 𝑟 works for all integers 𝑧, as required. ◻
Evenness is essential in (14). Without it, the
recurrence 𝑇𝑁 =𝑁 +1, 𝑔𝑛 =𝑛 −1 for 𝑛 ≥1, has 𝐷𝑁 =𝜎1(𝑁) =1 and 𝛿𝑁 =1 at every index. Thus 𝐷𝑁 is never an even integer but is
always an integer. By (13), the left side
of (14) holds
while the right side fails.
The growth hypothesis (15) is equivalent to
lim inf𝑛→∞2−𝑛𝑏(𝑛)=0.
Indeed, writing 𝑛 =𝑁 +𝑟, its
inequality becomes 2−𝑛𝑏(𝑛) <1/(2𝑁+1𝑞). Since 𝑏(𝑛) ≥0, finding such an 𝑛 ≥𝑁 for every 𝑁 and every positive integer 𝑞 is exactly the stated liminf condition.
In particular it holds for polynomial bounds and for 𝐶𝑐𝑛 with fixed 𝐶 >0 and 1 <𝑐 <2, but fails for 𝑏(𝑛) =2𝑛. A limit of zero is not
necessary: the bound 𝑏(𝑛) =1 at odd
indices and 𝑏(𝑛) =2𝑛 at even
indices also satisfies the hypothesis. This example concerns the growth
condition alone, not a bound for the prime tails. Only one suitable
scale is needed to magnify the positive distance to ℤ beyond the error; no comparison at
every sufficiently large scale is required.
The proof in fact uses no rationality of 𝐷𝑁: the integer 𝑞 is chosen from its positive distance to
ℤ, not from a reduced denominator.
Thus (16) holds
for real integer-coefficient recurrences under the same bound and growth
hypothesis. The same is true of (13), and of (14) when the
coefficient differences are even. These extensions follow from the
printed argument; the Lean proof covers the rational case stated in the
theorem.
The first test is exactly even integrality of 𝐷𝑁, regardless of 𝑟. The fixed-progression test compares
2𝑟dist(𝐷𝑁,ℤ) with
the bound on the remaining tail. When 𝐷𝑁 is nonintegral, the growth hypothesis
makes the former larger than twice the latter at a suitable scale.
Rewriting the test does not provide an estimate about the distribution
of consecutive primes.
A signed comparison with more analytic data
A signed variant appears in the totient companion, The Binary Totient
Series, under “Signed interpolation with entire Dirichlet
defects”. We recall its different hypotheses to delimit the comparison.
Around the totient sequence, signed integer changes bounded by any
positive 𝑓(𝑛) →∞ fill an
interval at every reciprocal integer base. They can preserve the odd
coefficients, every fixed eventual congruence, all
arithmetic-progression Dirichlet singularities, and prescribed finite
root-of-unity jets. The proof takes finite differences of increasing
order on separated finite sets of indices. The support of the changes
has upper Banach density zero. The union of the intervals spanned by
those sets has ordinary density zero and upper Banach density one.
This theorem allows the bound on the corrections to grow arbitrarily
slowly and retains more analytic observations. It uses both signs,
however, and does not subsume the one-sided prime-gap perturbation
theorem proved here. In particular, it constructs comparison integer
sequences, not consecutive prime gaps, and neither theorem supplies an
irrationality proof for the actual prime series. The companion contains
a full ordinary proof and the precise block estimate in terms of the
prescribed bound; no infinite formal theorem is claimed.
Conclusions
The construction’s fixed ordinary totals protect cumulative residues;
its variable weighted totals attain the target. The resulting family
contains rational and irrational sums with the stated congruences and
asymptotic block statistics, but does not preserve consecutive
primality.
For the actual primes, the complete tails are identified and their
integral shifts give an exact criterion. The remaining task is to
establish the required nonintegrality, not another recurrence identity.
The small-pair route requires simultaneous witnesses arbitrarily late
for every positive shift. Finite separations and denominator exclusions
do not establish that infinite family of witnesses.
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