1 Introduction
Let H be a complex Hilbert space and let \B(H) denote its bounded linear operators. The commutant of S\in\B(H) is
A closed subspace is hyperinvariant for S if every operator in \{S\}' leaves it invariant. An operator algebra is transitive if its only closed common invariant subspaces are \{0\} and H. Thus S has no nonzero proper closed hyperinvariant subspace precisely when its commutant is transitive.
The hyperinvariant-subspace problem asks whether every bounded nonscalar operator on an infinite-dimensional separable complex Hilbert space has a nonzero proper closed hyperinvariant subspace. The construction below gives a negative answer. Its purpose is to exhibit the mechanism explicitly: the ordinary invariant subspaces of each weighted-shift fiber are coordinate tails, and a second, commuting operator moves those tails backward. Invariance under the commutant therefore imposes a strict descent that cannot persist on a probability space.
1.1 The construction theorem
Put K=\ell^2(\Z), with orthonormal basis (e_j)_{j\in\Z}, and define
Let X=\Z_2 be the compact additive group of 2-adic integers, the inverse limit of the groups \Z/2^m\Z. Equip it with completed Haar probability \mu, put \theta x=x+1, and set H_0=L^2(X,\mu;K). For g\in L^\infty(X), the scalar multiplier is (M_gf)(x)=g(x)f(x).
Theorem 1.1. There are measurable positive weights \beta_j:X\to(0,\infty), j\in\Z, and a contraction V\in\B(H_0) with the following properties. The shifts
define a bounded operator S on H_0, and:
- 1.
For every x\in X, the closed invariant subspaces of S_x are exactly \Ktail{h}, h\in\Z\cup\{-\infty,+\infty\}.
- 2.
The operator S is nonzero, \|S\|=e^{-10}, and for every integer n\ge1,
\|S^n\|\le \exp\left(-10\left\lfloor\frac{(n+1)^2}{4}\right\rfloor\right). \tag{1} - 3.
The operator V commutes with S and has the form
(Vf)(\theta x)=V_xf(x),\qquad V_xe_j=b_j(x)e_{j-1},where 0\le b_j(x)\le1 are measurable and are positive on a common conull set. On that set,
\overline{V_x\Ktail{h}}=\Ktail{h-1}\quad(h\in\Z), \qquad \overline{V_xK}=K. - 4.
The unital complex algebra generated by S, V, and all scalar multipliers M_g is transitive.
All generators in the last assertion commute with S. The explicit power bound implies norm-quasinilpotence, \lim_{n\to\infty}\|S^n\|^{1/n}=0, while the first assertion will give many ordinary invariant subspaces of the resulting operator.
Corollary 1.2. Every infinite-dimensional separable complex Hilbert space admits a nonzero bounded norm-quasinilpotent operator with no nonzero proper closed hyperinvariant subspace. Its commutant is a proper strongly closed unital transitive complex operator algebra.
Here the strong operator topology is pointwise norm convergence on H. Consequently the commutant in the corollary also gives a negative answer to the question whether every unital transitive operator algebra is strongly dense in \B(H).
1.2 Context and relation to the companion
Douglas and Pearcy studied the connection between hyperinvariant subspaces and transitive algebras [4]. A major positive result is Arveson’s density theorem: a transitive algebra on a separable Hilbert space which contains a maximal abelian self-adjoint subalgebra of \B(H) is strongly dense in \B(H) [1, Theorem 3.3]. The scalar multiplier algebra used here has infinite multiplicity. Section 6 gives an explicit operator commuting with every such multiplier that is not itself a scalar multiplier, so the maximality hypothesis is absent.
Domar’s work on invariant subspaces of weighted translation spaces [3] and Grabiner’s work on unicellular shifts [6] provide the classical lattice ideas behind the fibers. Section 2 proves the precise quadratic weighted-translation criterion we need. Its convex-envelope and support-separation argument follows Domar’s method. The proof includes both normalized convolution-tail estimates; no general criterion for arbitrary weights is assumed. Our additional task is to link the fibers by a bounded commuting operator that moves their invariant tails backward. Opposite logarithmic changes at the two ends of the bilateral sequence make this possible, and one measurable normalization controls the operator over the whole base.
Atzmon and Sodin constructed completely indecomposable bilateral weighted shifts with spectrum the unit circle [2]; their 1999 paper left open whether those shifts have proper hyperinvariant subspaces. Here the extra commutant action is supplied by transport between different fibers. For a study of operators with shift-type invariant subspaces, see Kérchy [7]. The invariant- and hyperinvariant-subspace problems must remain distinct: the Kérchy–Pearcy preprint claiming an equivalence was withdrawn after a counterexample to its Theorem 3 [8]. The operator constructed here preserves every fixed tail L^2(X;\Ktail{h}); its hyperinvariant conclusion is proved directly.
The companion paper [9] constructs, for every prescribed irrational rotation, a continuous circle weight whose operator in the rotation factor has no nontrivial invariant projection in that factor. It derives the existence conclusion of Corollary 1.2 by the usual projection argument; see also Dykema [5, Proposition 2.1]. The present construction has a different purpose: it exhibits the ordinary invariant tails, the bounded operator that moves them backward, and the explicit estimate (1). The two proofs use different constructions. Our only proof imports from the companion are the two elementary facts stated below.
1.3 Proof overview and elementary inputs
The proof first makes the possible fiber subspaces completely explicit. Section 2 classifies invariant subspaces of a weighted translation whose logarithmic weights have opposite quadratic growth at the two ends. Section 3 constructs weights over \Z_2 satisfying that criterion in every fiber. Their decay also gives the uniform power estimate, which proves norm-quasinilpotence of the operator on H_0 rather than merely of its individual fibers.
To couple the fibers, we prescribe a map from e_j at x to a positive multiple of e_{j-1} at \theta x. Commutation with the forward shifts determines a recurrence for those multiples. Section 4 solves the recurrence in both directions. The logarithmic changes of the weights under \theta have opposite signs at the two ends; the coefficients therefore decay in both directions. Dividing all coefficients in each fiber by their common supremum yields the contraction V without changing commutation.
Finally, a subspace invariant under every scalar multiplier has an orthogonal projection represented by a measurable projection field. Invariance under S makes each fiber a tail \Ktail{s(x)}. Section 5 uses the dense images under V_x to obtain
Probability preservation excludes finite labels, and ergodicity excludes a nonconstant mixture of full and zero fibers. Section 6 then proves the corollary and records the structure of the example.
We use the following two elementary inputs, with the stated scope. Their complete proofs are in the companion [9].
- 1.
Fields from scalar multipliers [9, Lemma 3.1]. For a probability space (Y,\nu), K=\ell^2(\Z), and A\in\B(L^2(Y;K)) commuting with every scalar multiplier, there is an essentially bounded field A_y\in\B(K), unique almost everywhere, such that
(Af)(y)=A_yf(y),\qquad \|A_y\|\le\|A\|\quad\text{a.e.}For every v\in K, the map y\mapsto A_yv is measurable. Products and adjoints act fiberwise; an orthogonal projection has orthogonal projection fibers outside one null set.
- 2.
The first input requires no base transformation, covariance, trace or factor assumption. We apply it only after proving reduction by all scalar multipliers. The second requires neither separability nor quasinilpotence; the constructed operator will satisfy its nonscalarity hypothesis. The field input is used in Section 5, and the commutant input in Section 6.
2 The quadratic weighted-translation criterion
We first prove a criterion that makes every invariant fiber subspace a coordinate tail. The proof concerns one weighted sequence and does not involve the base transformation.
For a positive sequence w=(w_j)_{j\in\Z}, set
If w is decreasing, right translation (Rz)_j=z_{j-1} is a contraction on this space. For a sequence q_j on an integer interval, convexity means that q_{j+1}-q_j is nondecreasing wherever the differences are defined; concavity means the reverse.
Lemma 2.1 (Weighted translation criterion). Let w=(w_j)_{j\in\Z} be positive and decreasing. Suppose that \log w_j is convex for j\le0 and concave for j\ge0, that
and that, for some a>\log3,
Then the closed R-invariant subspaces of \ell^2(w) are precisely
Consequently the shift Te_j=(w_{j+1}/w_j)e_{j+1} on K has invariant lattice \{\Ktail{h}:h\in\Z\cup\{-\infty,+\infty\}\}.
The convex-envelope and support-separation argument below follows the method of Domar’s weighted-translation work [3, Section 3]. We prove the stated quadratic specialization in full, including the normalized estimates for both convolution tails. The signed exponent for a negative index is essential: the corresponding summand is w_{-n}^{-1/n} for n>0.
Proof. Multiplying the weight by a constant, assume w_0=1. Put P_n=\log w_{-n} and Q_n=-\log w_n for n\geq0. These sequences are convex, vanish at zero, and grow quadratically. For either sequence G=P,Q, convexity gives G_n-G_{n-1}\geq G_n/n. Put \beta_j=w_{j+1}/w_j. For n\geq1,
The signed-root sum therefore gives
In particular, R is bounded. If |c_j|w_j\leq1 and |b_j|/w_j\leq1, then for each integer r\geq1,
We prove the following support assertion: if nonzero b,c satisfy these bounds and
then \operatorname{supp}b has a finite maximum, \operatorname{supp}c has a finite minimum, and
Independent scaling of b,c gives the same assertion when the two weighted sequences are merely bounded. We will apply this assertion to a vector in an invariant subspace and to a continuous annihilator of that subspace. After proving support separation, the zero-shift pairing will identify the exact coordinate tail.
We first record an elementary fact about discrete convex envelopes. Let f_0=0 and f_n\in[0,\infty] for n\geq1, with f_n finite at arbitrarily large indices. Suppose there is a finite convex sequence G\leq f with G_0=0 and G_n\geq\delta n^2 for all sufficiently large n, where \delta>0. The pointwise supremum F of all finite convex minorants of f anchored at zero is finite: for any n, a finite obstacle at an index k>n bounds every minorant at n by the chord from zero to f_k. The supremum is convex, since the defining midpoint inequality is preserved under pointwise suprema. It is therefore the greatest convex minorant, with F_0=0 and F\geq G. If n\geq1 and F_{n+1}-2F_n+F_{n-1}>0, then
Indeed, otherwise raising F_n slightly preserves convexity at n, strengthens it at neighboring indices, and stays below f, contradicting maximality. Also the first differences of F tend to infinity, so there are arbitrarily large indices satisfying this strict inequality. We call them contact indices.
First suppose h=\min\operatorname{supp}c exists. If \operatorname{supp}b were unbounded above, take the greatest convex minorant B of f_0=0, f_n=-\log|b_n| for n\geq1, where -\log0=\infty. The obstacle at zero is an artificial anchor; the actual coefficient only needs |b_0|\leq1, which follows from normalization. The sequence Q is a minorant, so B\geq Q. Writing v_n=e^{-B_n}, we have |b_n|\leq v_n\leq w_n for n\geq0, and |b_p|=v_p at arbitrarily large contact indices p. For such p>h, the correlation at r=p-h gives
Fix an integer p_0\geq\max(1,h+1). For p\geq p_0, convexity of B and (4) give
This is summable in k. For each fixed k\geq1 the left side tends to zero as p\to\infty, because the first differences of B tend to infinity. Dominated convergence contradicts (8). Hence t=\max\operatorname{supp}b exists. If t>h, the correlation with r=t-h consists of the single nonzero term b_tc_h, a contradiction. Thus t\leq h.
The corresponding argument when b is known to be bounded above is obtained by applying this case to
These weights satisfy the same hypotheses, and their correlations are (5) after reindexing. Thus it remains only to exclude the case in which \operatorname{supp}c is unbounded below and \operatorname{supp}b is unbounded above.
In that case let A_m be the convex envelope of -\log|c_{-m}| for m\geq1, anchored at zero, and let B_p be the convex envelope of -\log|b_p| for p\geq1, also anchored at zero. Both envelopes have value zero at the anchor, while the actual coefficients satisfy only |c_0|,|b_0|\leq1. Their convex minorants P,Q give A\geq P, B\geq Q. Define
Since A_0=B_0=0 and A_1\geq P_1\geq0, B_1\geq Q_1\geq0, convexity makes all first differences of A and B nonnegative. The sequence u is therefore positive and decreasing, with u_0=1; its logarithm is convex on the negative half-line and concave on the positive half-line. The obstacle inequalities and u_j\geq w_j for j\leq0, u_j\leq w_j for j\geq0 give
The quadratic lower bounds for A,B also give
Choose \log3<\lambda<a. There are arbitrarily large m with
Otherwise double summation gives A_m\leq\lambda m^2+O(m), contrary to A_m\geq P_m and P_m/m^2\to a. Set \alpha_m=A_m-A_{m-1} and \gamma_p=B_p-B_{p-1}. Convexity and the quadratic lower bounds imply that both sequences are nondecreasing and tend to infinity. We match these slopes to choose two contact coefficients whose product dominates the other terms in the middle of one correlation. The two remaining tails will then be negligible relative to that product. For each sufficiently large such m, choose the last index p\geq1 with
The choice exists because the nondecreasing sequence \gamma_p tends to infinity; moreover p\to\infty with m. Equations (11)–(12) yield
Both m and p are contact indices. Therefore
The sequence
is concave. The preceding slope inequalities give F(1)-F(0)<-\lambda and F(-1)-F(0)<-\lambda. Consequently
Put q=m+p and use the correlation for r=q, with j=p+n. After isolating the term n=0, the bounds (9)–(13) give
The part with -p\leq n\leq m is at most
At n=m, (14) gives u_q\leq M. Thus the part with n>m, divided by M, is at most
Concavity of \log u on the positive half-line implies, for q\geq1,
The majorant is summable by (10); for each fixed k\geq1, the term on the left tends to zero as q\to\infty, because u_{q+k}/u_q is a product of k step ratios tending to zero. Dominated convergence shows that this tail is o(M). For the other tail, put v_k=1/u_{-k}. Then \log v is concave, its step ratios are summable, and (14) at n=-p gives v_q\leq M. Writing k=-p-n bounds this tail, divided by M, by
by the same argument. We obtain 1\leq C_\lambda+o(1), a contradiction. This proves (6).
Finally let L be a nonzero proper closed R-invariant subspace. Its continuous annihilators have the form c\mapsto\sum_jb_jc_j with b/w\in\ell^2. For c\in L and such an annihilator b, the correlations vanish for all r\geq0, and the two required weighted boundedness conditions hold. Fix a nonzero annihilator b^* and put t=\max\operatorname{supp}b^*. Support separation shows that every nonzero c\in L is supported at indices at least t; orthogonality at r=0 then forces c_t=0. Since L\ne\{0\}, the union of supports of its elements is a nonempty subset of \{t+1,t+2,\ldots\} and therefore has a least index h. Choose c^*\in L with c^*_h\ne0. Every c\in L vanishes below h. Conversely, support separation with c^* shows that every nonzero annihilator b is supported at indices at most h, and orthogonality at r=0 forces b_h=0. All annihilators therefore vanish on the coordinate tail beginning at h. Hahn–Banach and closedness imply that this tail is contained in L. Thus L is exactly that tail.
Finally the map c\mapsto(w_jc_j)_j is a unitary from \ell^2(w) onto K. It carries R to the bounded weighted shift Te_j=(w_{j+1}/w_j)e_{j+1} and preserves every coordinate-vanishing condition. This proves the last assertion as well.
3 The 2-adic weights
We now construct the measurable family of shifts. Their logarithmic weights must satisfy the criterion of Section 2 while changing in opposite directions at the two ends when the base moves by one.
3.1 The base transformation
For the inverse-limit base X=\Z_2 fixed in the introduction and m\ge1, let
Thus each residue is uniformly distributed. The map \theta x=x+1 is an invertible probability-preserving transformation, and
The finite residue classes generate the Borel sigma-algebra of X.
Lemma 3.1. The transformation \theta is ergodic.
Proof. If E is invariant modulo null sets, \theta cyclically permutes the N_m residue classes, so
Thus E is independent of every finite union of residue classes. By the Monotone Class Theorem it is independent of every measurable set, in particular itself. Hence \mu(E)=\mu(E)^2.
3.2 The weights
Fix
The integer blocks I_m=\{k:\ell_{m-1}\le k<\ell_m\} partition the positive integers. Set J_1=0 and J_{m+1}=J_m+DN_m; equivalently J_m=D(N_m-2). Define a_0^+(x)=a_0^-(x)=c, and for k\in I_m put
On the full integer axis define
The two central weights satisfy \beta_{-1}(x)=\beta_0(x)=e^{-c} for every x. The linear terms in a_k^\pm give quadratic growth of the cumulative logarithms. The smaller residue corrections change by +D and -D under \theta unless the residue wraps around; the increments of J_m preserve monotonicity across block boundaries. We first check the invariant-subspace criterion, then use those opposite changes to construct the backward intertwiner.
Proposition 3.2. For every x\in X, the operator S_xe_j=\beta_j(x)e_{j+1} is bounded, has norm e^{-c}, and has precisely the standard tails as its closed invariant subspaces. For each v\in K, the map x\mapsto S_xv is measurable.
Proof. We verify positivity, regularity, and growth separately. The corrections to c(k+1) in (17)–(18) are nonnegative. Thus
Within a block, both a_k^\pm increase by c at each step. At a boundary from I_m to I_{m+1}, put \delta=T_{m+1}(x)-T_m(x)\in\{0,N_m\}. The increments are, respectively,
Also a_1^\pm\ge2c>a_0^\pm. Consequently \beta_j is nonincreasing for j\ge0 and nondecreasing for j\le0, including the equality at -1,0.
Set w_0(x)=1 and define w_{j+1}(x)/w_j(x)=\beta_j(x) for all j\in\Z. This gives a positive decreasing sequence. Since \log w_{j+1}-\log w_j=\log\beta_j, its logarithm has the required convexity and concavity.
For k\in I_m we have N_m\le2k^{1/3}, and hence
The bound is uniform in x. Summing gives, as n\to\infty,
Thus (3) holds with a=c/2=5>\log3. Moreover the lower bounds a_k^\pm\ge c(k+1) imply
These bounds prove (2). Lemma 2.1 therefore applies to every fiber.
The norm statement follows from (20) and \beta_0=e^{-c}. Each coefficient \beta_j is measurable, so x\mapsto S_xe_j is measurable. Finite basis expansions and the uniform norm bound give strong measurability on every vector of K.
We may now define S\in\B(H_0) by (Sf)(x)=S_xf(x). It has norm e^{-c}. For each g\in L^\infty(X), the scalar multiplier (M_gf)(x)=g(x)f(x) commutes with S. Before constructing the operator that links different fibers and moves their tails backward, we record the uniform power bound for S.
Proposition 3.3. The operator S is nonzero and norm-quasinilpotent. More precisely, for all integers n\ge1,
Proof. Define d(j)=j+1 for j\ge0 and d(j)=-j for j<0. The weight definitions imply a_j(x)\ge c d(j) for every x,j. Since
the norm of each fiber power is bounded by the claimed quantity. Indeed the minimum of \sum_{r=0}^{n-1}d(j+r) over j\in\mathbb Z is attained by an interval centered as closely as possible on the two minima at -1 and 0. For n=2m this minimum is m(m+1); for n=2m+1 it is (m+1)^2. Both values are \lfloor(n+1)^2/4\rfloor. The bound is independent of x, so integrating the fiber estimate proves it for S^n itself. Consequently \lim_{n\to\infty}\|S^n\|^{1/n}=0. Finally S(1\otimes e_0)=e^{-c}(1\otimes e_1)\ne0.
4 A bounded backward intertwiner
We seek an operator which sends e_j in the fiber at x to a positive multiple of e_{j-1} in the fiber at \theta x. Commutation with the forward shift determines a recurrence for those multiples. The opposite logarithmic drifts at the two ends of the fiber make its solutions bounded after normalization.
4.1 Two-ended drift
Write \Delta a_j(x)=a_j(\theta x)-a_j(x). A block I_m has an exceptional residue at x when T_m(x)=N_m-1. Since
the Borel–Cantelli Lemma shows that almost every x has only finitely many such blocks. Intersect this conull set over all iterates of \theta to obtain a measurable \theta-invariant conull set X_*. No independence of the exceptional events is needed.
Lemma 4.1. For every x\in X_* there is a finite C(x) such that, for all n,q\ge1,
Proof. For k\in I_m, Equation (16) gives
Both central increments \Delta a_0^\pm vanish. Thus the first sum is
Under k\mapsto-k-1, the negative-index sum is the negative of the same expression with n=q. Both claims follow on taking
The constant C(x) may be unbounded and nonintegrable as a function of x. Only its pointwise finiteness is used below.
4.2 Solving and normalizing the recurrence
For positive coefficients b_j(x), sending e_j at x to b_j(x)e_{j-1} at \theta x would commute with S precisely when
Figure 1 shows the two paths in this coefficient identity. The left side is obtained by moving backward and then forward, and the right side in the opposite order.
Figure 1: The coefficient identity at a fixed input fiber. Both paths take e_j at x to a multiple of e_j at \theta x. The horizontal maps move forward in the coordinate, while the vertical maps move backward and translate the base.
We first solve this equation with initial value one, then divide all coefficients in each fiber by a common bound. For every x\in X set \widetilde b_0(x)=1 and define positive coefficients at all integer indices by
Every coefficient is a finite product of positive measurable functions and their reciprocals, so it is finite and measurable.
Lemma 4.2. For x\in X_*, the coefficients \widetilde b_j(x) tend to zero as j\to+\infty and as j\to-\infty. Consequently there are measurable functions b_j:X\to[0,1] which are positive on X_* and satisfy
Proof. Taking logarithms in (26) and summing forward gives
Summing backward from index 0 gives the different sign
Here a_{-1}=c. The boundary indices have different forms: a_{n-1}=a_{n-1}^+, whereas a_{-q-1}=a_q^-. Using a_0^\pm=c and Equation (21), we obtain
Combining these bounds with Lemma 4.1, we obtain the explicit estimates
Since D-c=90>0, both right sides tend to -\infty. These estimates are pointwise in x; they do not require an integrable bound on C(x).
The countable supremum
is measurable, and 1\le L(x)<\infty on X_*. Define
All indices at a fixed x are divided by the same number, so (26) yields (27). Off X_* both sides of that identity vanish.
Define a backward shift V_x:K\to K by V_xe_j=b_j(x)e_{j-1}. Every V_x has norm at most one, and x\mapsto V_xv is measurable for every v\in K by finite-coordinate approximation. It defines V\in\B(H_0) by
Invariance of \mu gives \norm{Vf}^2=\int_X\norm{V_xf(x)}^2\,d\mu(x)\le\norm{f}^2.
Proposition 4.3. The contraction V commutes with S. For every x\in X_* and h\in\Z,
Proof. At the same output base point \theta x, the two compositions have coefficients
They agree by (27), first on the basis and then on K. Equation (30) now gives SV=VS. On X_* every b_j(x)>0. The image of a tail therefore contains every basis vector in the preceding tail, up to a nonzero scalar, and is contained in that preceding tail. This proves the density assertions.
The density conclusion, rather than surjectivity, is exactly what is needed for closed invariant subspaces. No bounded inverse of V_x or V is asserted.
5 All common invariant subspaces
We now show that the scalar multipliers, S, and V have no proper nonzero closed common invariant subspace. The first step accounts for every closed subspace invariant under the multipliers, without assuming in advance that it is defined fiber by fiber.
5.1 Multipliers force a measurable field of projections
Let M\subseteq H_0 be a closed subspace invariant under S, V, and every scalar multiplier. Since M_{\bar g}=M_g^* belongs to the same multiplier family, M reduces each multiplier. Its orthogonal projection P therefore commutes with all of them. The field lemma [9, Lemma 3.1], applied with the probability space (X,\mu) and K=\ell^2(\Z), gives
where the P_x are orthogonal projections outside one null set and x\mapsto P_xv is measurable for each v\in K. These are exactly the projection and measurability conclusions needed below; no covariance property is imposed on this field.
5.2 Fiber invariance and measurable tail labels
For this fixed subspace M and its projection field P_x, the global invariance identities (I-P)SP=0 and (I-P)VP=0 imply
almost everywhere. To justify the passage, apply each global identity to the constant field e_j. In the second identity evaluate the output at \theta x and use probability preservation. The resulting equalities hold for every j on a common conull set and extend to all of K by boundedness. Intersect this set, the projection set, and X_* over all integer iterates of \theta. We can henceforth use all these identities on a single invariant conull set. This set is chosen after fixing M; no intersection over all candidate subspaces is required.
By Proposition 3.2 and (31), there is a label
It is measurable: for every j\in\Z,
on the conull set, and the label can be set to +\infty elsewhere. Equation (32) and Proposition 4.3 give two implications:
The first uses \overline{V_xK}=K. The second uses \overline{V_x\Ktail{h}}=\Ktail{h-1} and the inclusion \Ktail{h-1}\subseteq\ran P_{\theta x}. When the input fiber is zero, there is no restriction on the output label.
5.3 Strict descent on a probability space
The final measure argument is useful independently of the construction.
Lemma 5.1. Let \theta be an invertible ergodic probability-preserving transformation of (Y,\nu). Suppose a measurable function s:Y\to\Z\cup\{-\infty,+\infty\} satisfies, almost everywhere,
Then s=-\infty almost everywhere or s=+\infty almost everywhere.
Proof. All inclusions in this proof are modulo null sets. Put E=\{s=-\infty\}. The first implication gives \theta E\subseteq E. Probability preservation makes this inclusion an equality modulo null sets, so ergodicity gives \nu(E)\in\{0,1\}. The case \nu(E)=1 is one conclusion.
Suppose \nu(E)=0. For each integer j, put F_j=\{s\le j\}. Both implications give
It follows that \nu(F_{j-1})=\nu(F_j). For any fixed j, continuity from above now gives
The countable union of the F_j is \{s<+\infty\}, proving the other conclusion.
Applying Lemma 5.1 shows that P_x=I almost everywhere or P_x=0 almost everywhere. We have therefore proved that the unital complex algebra generated by S, V, and all scalar multipliers is transitive.
6 The commutant and structural consequences
Proof of Theorem 1.1 and Corollary 1.2. Proposition 3.2 proves the fiber classification and norm statement in Theorem 1.1, and Proposition 3.3 gives the uniform power bound and nonzeroness. Proposition 4.3 constructs the commuting contraction with its dense tail images. Section 5 proves transitivity of the algebra generated by S, V, and the scalar multipliers. These establish all assertions of the theorem.
That transitive algebra is contained in \{S\}', so any closed \{S\}'-invariant subspace is zero or all of H_0. The nonzero norm-quasinilpotent operator S is nonscalar. The commutant lemma [9, Lemma 1.2], with this S on the complex Hilbert space H_0, now implies that \{S\}' is a proper strongly closed unital complex algebra. Together with the lattice conclusion, it is transitive.
Finally, the finite residue classes form a countable generating algebra on X, so L^2(X) and H_0 are separable. The space H_0 is infinite-dimensional. Every infinite-dimensional separable complex Hilbert space is unitarily isomorphic to H_0; conjugation by such a unitary transfers S, its norm estimates, its commutant, and the invariant-subspace conclusions. This proves the corollary.
6.1 Ordinary invariant subspaces and compactness
For every h\in\Z, the subspace L^2(X;\Ktail{h}) is closed, nonzero, proper, and S-invariant. It is not invariant under V: the image of the constant field e_h has its nonzero coordinate at h-1 almost everywhere. Thus the construction separates ordinary invariance from hyperinvariance in an explicit way.
Each fiber S_x is compact. Indeed a_k^\pm\ge c(k+1) implies \beta_j(x)\to0 as |j|\to\infty, and cutting off all but finitely many shift weights approximates S_x in operator norm. The operator S on H_0 is not compact. There is an infinite orthonormal sequence (\varphi_n) in L^2(X), since the N_m disjoint residue classes give N_m orthogonal indicators for every m. The orthonormal vectors \varphi_n\otimes e_0 have images
These images are orthogonal with a common positive norm and have no norm-convergent subsequence.
6.2 The multiplier algebra has infinite multiplicity
Let Q_0 be the projection onto L^2(X)\otimes\C e_0. This gives a concrete witness to the properness of the commutant: on 1\otimes e_0,
so Q_0\notin\{S\}'.
The same projection commutes with every scalar multiplier, but is not itself a scalar multiplier. If Q_0=M_g, its action on 1\otimes e_0 would give g=1 almost everywhere, whereas its action on 1\otimes e_1 is zero. The abelian self-adjoint algebra \{M_g:g\in L^\infty(X)\} is therefore not maximal abelian in \B(H_0). Arveson’s maximal-abelian inclusion theorem [1, Theorem 3.3] does not apply to this subalgebra of the transitive commutant.
6.3 Atomic finite families and a diffuse joint algebra
We finish with a spectral property of the constructed weights. This subsection is independent of the transitivity proof.
Let |S|=(S^*S)^{1/2}. Identify H_0 with L^2(X\times\Z,\mu\times\#), where \# is counting measure, and let Ue_j=e_{j+1} on every fiber. Then
All weights are positive, so |S| is injective with dense range and U is the unitary polar part of S. Define
For a family of operators, W^* denotes the smallest strongly closed unital self-adjoint algebra containing that family. A nonzero projection in an abelian von Neumann algebra is minimal if it contains no smaller nonzero projection in that algebra. Such an algebra is atomic when its identity is the strong sum of its minimal projections, and diffuse when it has no minimal projection. We will show that W^*(A_n:n\in F) is atomic for every finite F\subset\Z, whereas W^*(A_n:n\in\Z) is diffuse.
For any finite F\subset\Z and fixed j, the tuple (\beta_{j+n}(x))_{n\in F} depends on finitely many residues T_m(x). Because the residues are nested, it depends on one residue T_M(x) and takes finitely many values. Allowing the countably many values of j gives a countable range for the joint tuple on X\times\Z. Its nonempty level sets have positive measure: on every fixed coordinate slice they are finite unions of residue classes. These level sets give the minimal projections of the generated abelian algebra, and their sum is the identity. Thus W^*(A_n:n\in F) is atomic. In particular, |S| has a pure-point spectral resolution.
For the full family, the two equal central weights determine the coordinate slice. They are the only weights equal to e^{-c}, since a_k^\pm\ge c(k+1)>c for every k\ge1. At (x,j) the tuple indices n for which \beta_{j+n}(x)=e^{-c} are therefore exactly -j-1 and -j. For every r\in\Z, the projection onto the slice j=r, denoted by P_r, belongs to W^*(A_n:n\in\Z): it is
Next fix m\ge1 and choose k_m=\ell_{m-1}\in I_m. On the slice j=r, the multiplier A_{k_m-r} supplies \beta_{k_m}(x). For 0\le t<N_m, put
Equation (17) shows that the multiplication projection of the residue rectangle \{T_m=t\}\times\{r\} is
Thus every residue-class projection on every coordinate slice belongs to the generated algebra. Such rectangles generate the product sigma-algebra. Conversely all A_n are multiplication operators, so, modulo completion and null sets,
in its multiplication representation. Haar measure on \Z_2 has no atoms, and consequently this algebra is diffuse.
The pure-point assertion does not assert discreteness of the spectrum or compactness of S. Nor is this full multiplier algebra the scalar base algebra used in the transitivity proof. In fact |S| does not commute with S, because the adjacent weights \beta_0=e^{-c} and \beta_1\le e^{-2c} differ. The polar-conjugate algebra is therefore not contained in \{S\}'.
References
- [1]William B. Arveson. A density theorem for operator algebras. Duke Mathematical Journal, 34:635–647, 1967. https://doi.org/10.1215/S0012-7094-67-03467-9. doi:10.1215/S0012-7094-67-03467-9.
- [2]Aharon Atzmon and Mikhail Sodin. Completely indecomposable operators and a uniqueness theorem of Cartwright–Levinson type. Journal of Functional Analysis, 169(1):164–188, 1999. https://doi.org/10.1006/jfan.1999.3454. doi:10.1006/jfan.1999.3454.
- [3]Yngve Domar. Translation invariant subspaces of weighted l^p and L^p spaces. Mathematica Scandinavica, 49:133–144, 1981. https://doi.org/10.7146/math.scand.a-11926. doi:10.7146/math.scand.a-11926.
- [4]R. G. Douglas and C. Pearcy. Hyperinvariant subspaces and transitive algebras. Michigan Mathematical Journal, 19:1–12, 1972. https://doi.org/10.1307/mmj/1029000793. doi:10.1307/mmj/1029000793.
- [5]Ken Dykema. Hyperinvariant subspaces for some B-circular operators. Mathematische Annalen, 333(3):485–523, 2005. With an appendix by Gabriel Tucci. https://doi.org/10.1007/s00208-005-0669-8. doi:10.1007/s00208-005-0669-8.
- [6]Sandy Grabiner. Unicellular shifts on Banach spaces. Journal of Operator Theory, 8(1):157–165, 1982. https://jot.theta.ro/jot/archive/1982-008-001/1982-008-001-007.pdf. https://jot.theta.ro/jot/archive/1982-008-001/1982-008-001-007.pdf.
- [7]László Kérchy. On Hyperinvariant Subspaces of Operators Containing Unilateral Shifts. Complex Analysis and Operator Theory, 20:Paper No. 176, 2026. https://doi.org/10.1007/s11785-026-02038-9. doi:10.1007/s11785-026-02038-9.
- [8]László Kérchy and Carl Pearcy. Hyperinvariant subspaces of block-triangular operators on Hilbert space. 2025. arXiv:2503.13005. Withdrawn, 29 March 2025. doi:10.48550/arXiv.2503.13005, arXiv:2503.13005.
- [9]OpenAI. Invariant-projection counterexamples for every irrational rotation. OpenAI Math Release preprint PDF, 2026. Reading view on this site: Invariant-projection counterexamples for every irrational rotation.