1 Introduction
Let X be a smooth integral complex projective variety of dimension n\ge3, and let L be an ample line bundle. Put V=L^n. For a tuple \mathbf p=(p_1,\ldots,p_r) of distinct points, the ordinary multipoint Seshadri constant is
where C ranges over integral curves meeting at least one of the marked points, and the multiplicity is zero at points outside C. This invariant measures the local positivity of L at the entire tuple. Its universal upper bound is
Equality means that no curve imposes a stronger constraint than the volume of L.
Write
A property holds at very general tuples if the exceptional tuples are contained in a countable union of proper Zariski-closed subsets of U_r(X).
Theorem 1.1. Let X be a smooth integral complex projective variety of dimension n\ge3, and let L be an ample line bundle on X. There is an integer r_0=r_0(X,L)\ge1 such that for every integer r\ge r_0 there is a countable union Z_r of proper Zariski-closed subsets of U_r(X), with nonempty complement, for which
Equivalently, on the blow-up \pi:Y\to X at such a tuple, with exceptional divisors E_1,\ldots,E_r, the real divisor class
is nef and has top self-intersection zero. Here nefness means nonnegative intersection with every integral curve. The threshold depends on the fixed polarized variety, but all integers beyond it are included. In particular, Theorem 1.1 asserts exact equality for each such point count, rather than convergence of a normalized constant as r increases.
1.1 Background and relation to earlier work
The plane problem originates in Nagata’s work on Hilbert’s fourteenth problem. He conjectured a lower bound on the degree of a plane curve in terms of its multiplicities at very general points, and proved the strict inequality when the number of points is a square at least 16 [9]. Multipoint Seshadri constants express the corresponding positivity question on an arbitrary polarized variety. The qualitative Nagata–Biran–Szemberg formulation asks for maximality at every sufficiently large point count. Roé and Ross state this formulation in arbitrary dimension and distinguish the ordinary curve-defined constant from its higher-cycle analogues [12, Conjecture 1.3 and Remark 1.4]. We use the ordinary constant throughout, even when \dim X>2.
Biran’s packing stability theorem supplies an important symplectic precedent: sufficiently many equal balls can fill a closed symplectic four-manifold with rational symplectic class with arbitrarily small volume deficit [1]; see also [2, Theorem 6.3]. The algebraic question fixes the complex variety and asks for a nef class on its point blow-ups, so symplectic packing stability is not by itself the required algebraic statement. In arbitrary dimension, Küchle obtained lower bounds for multipoint Seshadri constants that are asymptotically optimal as the number of points tends to infinity [7, Theorem 1.1]. Biran’s product inequality, extended to higher-cycle constants by Roé–Ross, relates point counts on a variety to point counts on projective space [12, Theorem 1.1 and Remark 1.2]. These results illuminate the volume scale in (1.2); an asymptotically optimal estimate alone does not imply eventual equality.
The companion paper [11] establishes the qualitative surface statement by a nodal exponent bound, diagonal slice compression, and a primitive lattice direction tuned to the number of points. Its final tests are injective jet evaluations on finite torus subgroups. We adapt the planar geometric mechanism to polynomial spaces in two variables and use surjective full-dimensional jet evaluations instead. All arguments required for this adaptation are proved here; the surface maximality theorem is not an input.
The interpretation of positivity through asymptotic jet generation is classical; see Demailly [3, Section 6]. Our use of initial monomials belongs to the valuation approach to linear series initiated by Okounkov [10] and developed by Lazarsfeld–Mustaţă [8] and Kaveh–Khovanskii [6]. More directly, Ito compares multipoint jet separation with initial monomial spaces by separate finite-degree degenerations, without a finite-generation hypothesis [5, Proposition 5.7 and Theorem 5.8]. Monomial diagrams and interpolation minors also underlie Dumnicki’s diagram-cutting method [4, Proposition 13 and Theorem 14]. We retain elementary proofs of the specific transfer and counting statements used below.
1.2 Proof strategy and the two-coordinate construction
Separating jets through degree m at a tuple means prescribing, independently at each point, all Taylor coefficients of total degree at most m, in local coordinates and line-bundle frames. If H^0(X,kL) separates these jets, then
the curve-intersection argument is given in Lemma 6.1. Thus, for w=(V/r)^{1/n}, our interpolation target is jet separation through degree \lfloor k\theta\rfloor for every fixed 0<\theta<w and all sufficiently large k. We first construct a tuple for each such test and later obtain simultaneous tests at very general tuples.
The argument works with finite exponent sets S_k\subset\Z^n, one for each positive integer degree k, satisfying
For a set S, its monomial space is the span of the Laurent monomials z^\alpha with \alpha\in S on (\C^*)^n. The multiplication condition will be as important as the geometry of the individual sets.
A complete-intersection flag on X first supplies sets S_k whose cardinalities are h^0(X,kL). They lie in the dilates of a simplex
of volume V/n!. Jet surjectivity for the corresponding monomials can be transferred back to sections on X.
The main construction replaces any two intercepts A,B of the bounding simplex by w,AB/w, for any sufficiently small positive real w. It preserves the number of exponents, the multiplication condition, and the implication from jet surjectivity after the replacement to jet surjectivity before it. The other exponent coordinates are carried along unchanged. The planar node bound and primitive-direction argument come from the surface method; the real-intercept replacement and its compatibility with these remaining coordinates allow the process to be iterated in higher dimensions.
For a fixed sufficiently large integer r, choose w=(V/r)^{1/n}. Repeated replacements produce sets F_k inside dilates of
Because this simplex still has volume V/n!, only o(k^n) of its degree-k lattice points are missing. The multiplication condition upgrades this density statement: for each fixed compact set K\subset\operatorname{int}P_*, every lattice point of kK belongs to F_k for all sufficiently large k. Indeed, such a point has on the order of k^n decompositions into two nearly equal degrees, whereas the holes can exclude only o(k^n) of them. This short argument is a full-density version of the interior approximation results for semigroups [6, Theorem 1.6].
The long last intercept of P_* permits explicit interpolation at r points that differ only in their last coordinate. One-variable Hermite interpolation, applied to the coefficients of monomials in the other coordinates, gives arbitrary jets through degree \lfloor k\theta\rfloor for every fixed 0<\theta<w and all sufficiently large k. Transferring these tests to X, taking a countable intersection of nonempty Zariski-open loci, and then letting \theta increase to w proves Theorem 1.1.
Section 2 establishes the monomial operations and their jet transfers, and Section 3 constructs the initial exponent sets on X. Section 4 proves the two-coordinate replacement. Section 5 establishes interior filling and interpolation, and Section 6 assembles the very-general conclusion.
2 Monomial spaces and finite jets
The proof will replace spaces of sections by monomial spaces and then change their exponent sets. Two properties must survive these changes: multiplication between different degrees, and the implication that interpolation for the new space yields interpolation for the old one. We establish these properties separately. Multiplication concerns the exact exponent sets in every degree; interpolation will be transferred by analytic limits at one fixed degree.
2.1 Jets and graded exponent sets
Write \Torus^n=(\C^*)^n. For a finite set S\subset\Z^n, put
These Laurent polynomials are regular on \Torus^n. If A is a line bundle on a smooth complex variety Y, its jets through an integer degree m\geq0 at p\in Y form the vector space
Here A_p denotes the stalk of the sheaf of sections. A space of sections W separates jets through degree m at distinct points p_1,\ldots,p_r if the evaluation map
is surjective. For functions we use the trivial line bundle. Local frames and local coordinates change the matrices of these maps but not their ranks. Analytic and algebraic finite jets agree at a smooth complex point, since the corresponding local rings have the same completion. Our aim is to obtain such surjections for W=H^0(X,kL) with m/k approaching (V/r)^{1/n}.
Definition 2.1. A graded support family in \Z^n is a sequence of finite sets (S_k)_{k\geq1} such that
Empty sets are allowed. Equivalently, \M(S_k)\M(S_l)\subset\M(S_{k+l}), where a product of spaces denotes the span of their pairwise products.
We will say that an operation on monomial spaces transfers jet separation backward if, for every fixed degree, number of points, and jet order, separation by the output space at some distinct torus tuple implies separation by the input space at some distinct torus tuple. The tuples need not be the same. A finite sequence of such operations has the same property.
2.2 Least terms and analytic limits
A monomial order on \Z_{\geq0}^q will mean a total well-order preserved by addition. For a nonzero convergent power series f, let \nu(f) be the least exponent in its support for this order.
Lemma 2.2 (Least-term bases). Let W be a finite-dimensional space of convergent power series in q variables, and fix a monomial order. The set
has cardinality \dim W. There is a basis of W whose least exponents are exactly this set, with each least coefficient equal to 1. Moreover, \nu(fg)=\nu(f)+\nu(g) for nonzero convergent power series f,g.
Proof. If W\ne0, choose the smallest exponent occurring as the least exponent of an element of W, and normalize one such element to have coefficient 1 there. Continue in the kernel of that coefficient functional, which has codimension one. After \dim W steps this gives a basis with strictly increasing least exponents. In any nonzero linear combination, the first basis element with a nonzero coefficient determines the least term. This proves the assertion about the whole set of possible exponents.
For the product assertion, write a=\nu(f) and b=\nu(g). Every exponent of f is at least a, and every exponent of g is at least b. Additivity of the order implies that any pair other than (a,b) has sum strictly greater than a+b. The coefficient of x^{a+b} in the product is therefore the product of the two nonzero least coefficients.
Lemma 2.3 (Least terms in labeled spaces). Fix integers 1\leq q\leq n and a monomial order in q variables. For k\geq1 and \gamma\in\Z^{n-q}, let W_{k,\gamma} be finite-dimensional spaces of convergent power series in those variables, with only finitely many nonzero spaces in each degree. Assume that
Then
is a graded support family and \#S'_k=\sum_\gamma\dim W_{k,\gamma}.
Proof. The cardinality assertion follows from Lemma 2.2 in each label. Given two exponents in S'_k and S'_l, choose functions witnessing them. Their nonzero product belongs to the summed degree and label, and its least exponent is the sum of the two least exponents. Expanding products of arbitrary linear combinations therefore gives \M(S'_k)\M(S'_l)\subset\M(S'_{k+l}). The full new monomial spaces thus retain the multiplication property needed for the next operation; no simultaneous choice of lifts to earlier spaces is required.
The finite-degree passage to initial monomials is a standard jet-degeneration principle; see Ito [5, Proposition 5.7]. The next two lemmas give the direct analytic form used here, including unchanged coordinate factors. The first is analytic; the second is finite-dimensional linear algebra.
Lemma 2.4 (Weighted limits with unchanged variables). Let 1\leq q\leq n, and let f_1,\ldots,f_N be convergent power series near 0\in\C^q. Suppose that a vector \lambda\in\R_{>0}^q makes a specified exponent e_j the unique minimum of \lambda\cdot\alpha on the support of f_j, and let c_j\ne0 be its coefficient. For any \gamma_j\in\Z^{n-q}, as s\downarrow0 the functions
converge locally uniformly on \C^q\times\Torus^{n-q}, with all derivatives of any fixed finite order. The assertion means that each fixed compact set is in the domain of the left-hand side for all sufficiently small s>0. When q=n, the unchanged variable block is omitted.
Proof. First omit the unchanged factor U^{\gamma_j}. On a bounded polydisc in Z, choose s_0>0 small enough that the power series converges absolutely on a slightly larger polydisc after scaling by s_0^\lambda. In the normalized expansion every exponent \lambda\cdot(\alpha-e_j) is nonnegative, and every exponent other than the least one is strictly positive. For 0<s\leq s_0, the terms are dominated by the summable series obtained at s_0. Dominated convergence gives locally uniform convergence to Z^{e_j}. Applying Cauchy’s estimates on slightly larger polydiscs gives convergence of derivatives. The unchanged Laurent monomials and their derivatives are holomorphic near every compact subset of the torus, so multiplying by them preserves these conclusions.
Lemma 2.5 (Persistence of jet separation). Fix a finite tuple of distinct points in a complex manifold and a jet order m. Suppose that finitely many holomorphic functions, depending on a positive parameter s, converge with their derivatives through order m near that tuple. If the limiting functions separate those jets, then the functions for sufficiently small s>0 do also.
The same conclusion applies to sections written in local frames. If the functions before the limit are pullbacks under a coordinate change sending the tuple to distinct points, their original functions separate jets at the image tuple. Multiplication of individual functions by nonzero constants does not affect this statement.
Proof. Choose coordinates and frames near the points. The entries of the jet matrix are the finitely many required Taylor coefficients. A maximal minor that is nonzero in the limit remains nonzero for small s. Coordinate changes and frame changes induce isomorphisms of truncated local rings or their rank-one modules. Rescaling an individual function rescales a matrix column by a nonzero constant.
In particular, the unchanged variables in Lemma 2.4 cause no restriction on the jets being separated: all derivatives, including derivatives in those variables, enter the same convergent jet matrix. We shall apply the lemmas to finitely many spaces distinguished by a common exponent in the unchanged variables.
2.3 Lattice changes and coordinate compression
We next record two operations directly on Laurent monomials. They will let us change the shape of an exponent set while retaining both properties above.
Lemma 2.6 (Unimodular changes). Let B\in\operatorname{GL}_n(\Z). Replacing S_k by BS_k preserves cardinality and the graded support property. It preserves, in both directions, the existence of a distinct torus tuple at which the associated monomial space separates any prescribed finite jets.
Proof. The lattice map is bijective and additive. The torus automorphism
has pullback \phi_B^*(x^\alpha)=x^{B\alpha}. Its inverse is the monomial map associated with B^{-1}\in\operatorname{GL}_n(\Z), so the jet assertion follows by change of coordinates.
For compression in the first coordinate, write an exponent as (a,\beta) with a\in\Z and \beta\in\Z^{n-1}. For a finite set S, define its row space at \beta by
and define the compressed exponent set by
All functions in a row are holomorphic near z=1, even when their exponents are negative. Compression in another coordinate is defined by permuting coordinates.
Lemma 2.7 (Coordinate compression). Coordinate compression preserves the cardinalities and the graded support property of a family (S_k). It transfers jet separation backward. In a nonempty row with smallest and largest exponents a_- and a_+, every compressed exponent lies in [0,a_+-a_-].
Consequently, suppose that, after fixing all but two coordinates, the pair exponents lie in a scaled convex polygon \kappa Q, where \kappa\geq0. Compression in one pair coordinate bounds the new pair exponents by the shape obtained by moving each interval slice parallel to that coordinate to start at zero, without changing its length. This shape operation commutes with scaling by \kappa.
Proof. Use the coordinate u=z-1 near z=1. Lemma 2.2 identifies the possible orders in a row with a basis of distinct leading orders. If the input sets are graded, the product of two row spaces lies in the summed degree and remaining exponent. Lemma 2.3 therefore proves both cardinality preservation and the graded support property.
Multiplying a nonzero row element by the unit z^{-a_-} gives a polynomial of degree at most a_+-a_-. Its order at 1 is unchanged and cannot exceed that degree. This proves the row bound, including for Laurent exponents.
For a fixed degree, choose in every nonempty row a basis with distinct orders and leading coefficients 1 in u. Substitute z=1+sZ, normalize each basis element by s to its order, and carry along the unchanged monomial in the other variables. Lemmas 2.4 and 2.5 apply to all rows simultaneously. At a fixed finite torus tuple, the substitution has nonzero values and is injective for sufficiently small s>0. It gives a local coordinate change, so jet separation transfers to the original space at the image tuple.
Finally, a row contained in an interval slice of \kappa Q has exponent span no greater than the length of that slice. Its compressed row is therefore contained in the interval beginning at zero with that length. For \kappa>0, slices and their lengths scale by \kappa. When \kappa=0, the only possible pair exponent is zero and compression leaves it unchanged.
When these operations act on a graded family, the support sets are defined by fixed exact orders and fixed lattice maps. The weights and small parameters used to transfer jets may nevertheless depend on the degree: they only establish finite-rank implications. The multiplication property in Lemma 2.3 holds independently of those analytic choices.
3 A simplex from a complete-intersection flag
We now associate to (X,L) a graded support family with the same dimensions as the spaces of sections. Its exponent sets lie in a simplex whose volume is exactly the leading coefficient of the Hilbert polynomial. This equality of volumes will later ensure that changing the shape of the simplex loses no asymptotic supply of exponents.
Encoding sections by the least exponents associated with a flag is standard in the theory of Okounkov bodies; see, for example, Lazarsfeld and Mustaţă [8, Lemma 1.3]. For our complete-intersection flag, the required bound follows directly from division by its defining sections and a degree calculation on the final curve.
For positive real numbers a_1,\ldots,a_n, write
Its Euclidean volume is a_1\cdots a_n/n!.
Proposition 3.1 (The initial simplex). Let X be a smooth integral complex projective variety of dimension n\geq3, let L be ample, and put V=L^n. Choose a positive integer D such that DL is very ample. There is a graded support family S_k\subset\Z_{\geq0}^n such that
For all integers k\geq1, m\geq0, and r\geq1, if \M(S_k) separates jets through degree m at some distinct r-tuple in \Torus^n, then H^0(X,kL) does so at some distinct r-tuple in X.
Proof. Choose general sections \sigma_1,\ldots,\sigma_{n-1} of DL so that their successive zero loci form a smooth integral flag
Such a flag exists by Bertini’s theorem for very ample hyperplane sections. Choose p\in C and a local frame e of L near p. The functions z_i=\sigma_i/e^D for 1\leq i<n have independent differentials at p; complete them by a function z_n to local analytic coordinates centered at p.
Represent every section of kL by its germ in the frame e^k. These representations are compatible with products in different degrees. They are injective, since a section on an integral variety vanishing on an open germ vanishes identically. Order Taylor exponents lexicographically, starting with the exponent of z_1, and let S_k be the set of possible least exponents of nonzero section germs. Lemma 2.2 gives
We next bound these exponents by global vanishing orders. Let \alpha=(\alpha_1,\ldots,\alpha_n)\in S_k be the least exponent of a section s. Put s_0=s. For 1\leq i<n, suppose inductively that the residual section on X_{i-1} has least exponent (\alpha_i,\ldots,\alpha_n). Its local order along X_i is \alpha_i. A restriction to the integral divisor X_i that vanishes near p vanishes identically. The Cartier divisor exact sequence therefore allows division by \sigma_i|_{X_{i-1}}, one factor at a time, exactly \alpha_i times. Define
The exact local order ensures that s_i is nonzero. Its germ is obtained by dividing by z_i^{\alpha_i} and setting z_i=0, so its least exponent is (\alpha_{i+1},\ldots,\alpha_n). This completes the induction. At i=n-1 we obtain a nonzero section on C of
Its vanishing order at p is \alpha_n. Since \deg(L|_C)=D^{n-1}V, the degree bounds that order and yields
Equivalently,
which proves (3.2). The volume formula and the Hilbert polynomial asymptotic for an ample line bundle give (3.3).
It remains to transfer jets from the least monomials to the sections. Fix k. If S_k is empty, the asserted implication has a false premise and there is nothing to prove. Otherwise, choose a basis with distinct least exponents. A single positive weight vector exposes all these least terms, even though the series may have infinite support. Indeed, put \lambda_n=1 and choose the preceding weights recursively so that
If \beta is lexicographically later than \alpha and i is their first differing coordinate, then
Here we used that all Taylor exponents are nonnegative.
Now take a torus tuple at which \M(S_k) separates the specified jets. The substitution z_i=s^{\lambda_i}Z_i sends this tuple into the chosen coordinate chart for sufficiently small s>0, without identifying any points. Lemma 2.4 gives the least monomials as limits of normalized section germs, and Lemma 2.5 gives jet separation by the original sections at the image tuple in X.
The weights in the last paragraph may depend on k. In contrast, the flag, the local frame, and the lexicographic order are fixed once and for all. Thus Proposition 3.1 supplies a single graded family, together with the separate finite-degree interpolation implications needed to use it.
4 Reshaping two intercepts
We now change two intercepts of a simplex while preserving its volume, the cardinality of every exponent set, and the graded inclusion. The replacement will also preserve the implication from monomial jet surjectivity back to the original spaces. The important freedom is that the new small intercept can be prescribed as a real number; the argument can therefore be iterated even when the preceding step has produced irrational intercepts.
The node, diagonal compression, and primitive-direction choice adapt the corresponding constructions of OpenAI [11, Propositions 3.2 and 3.4 and Lemma 4.3]. Here they are applied directly to polynomial spaces in two variables, with the remaining exponents retained as labels. We give the argument in full.
Proposition 4.1 (Two-intercept reshaping). Let n\ge2, let A,B,a_3,\ldots,a_n be positive real numbers, and let (S_k)_{k\ge1} be finite exponent sets satisfying
Set H=AB and d=\max(3/A,2/B). For every real number w>0 with dw<1/16, there are finite sets (S'_k)_{k\ge1} such that
Moreover, for every k\ge1, m\ge0, and r\ge1, if \M(S'_k) surjects onto jets through degree m at some r distinct points of \Torus^n, then \M(S_k) does so at some r distinct points of \Torus^n.
Proof. Fix the target w. We first use a node to replace the triangular bound \Delta(A,B) by a quadrilateral of the same area. A diagonal compression then produces a triangle with a variable shape. We choose that shape and a primitive lattice direction together so that two further compressions give exactly \Delta(w,H/w).
Throughout, write \gamma=(\gamma_3,\ldots,\gamma_n) for an exponent in the unchanged coordinates. For a label occurring in degree k, the pair exponents with this label lie in
For n=2 the label is empty and \kappa=k. Each operation below acts on these two-coordinate spaces, carrying the common monomial with exponent \gamma along unchanged. In particular, a planar bound by \kappa K will hold simultaneously for every label. If \kappa=0, the only possible pair exponent is zero and it stays zero throughout; hence the geometric calculations may be made with \kappa>0.
The node and its exponent bound. In pair variables x,y, consider
This polynomial is irreducible, since 1+x is not a square in \C(x). Its curve has the parametrization
which covers the part where x\ne0. Near the origin choose the analytic square root with value 1 and set
These are local coordinates and g=\xi\eta.
For now fix a real parameter t>0, and order the Taylor exponents (\alpha,\beta) in \xi,\eta by lexicographic comparison of (\alpha+t\beta,\beta), and denote the least exponent by \nu_t. This is a multiplicative well-order: only finitely many nonnegative integer exponents have weight below any given bound. The node gives two controls on these exponents: its two branches bound the least weight after factors of g have been removed, while each extracted factor translates the least exponent by (1,1).
Let f\ne0 be supported in \kappa\Delta(A,B), and write f=g^j f_0, where j\ge0 and g does not divide f_0. The weighted polynomial degree with weights (1/A,1/B) is additive on nonzero products, since highest-weight forms multiply nontrivially. As g has weighted degree d, the weighted degree of f_0 is at most \kappa-jd, which is nonnegative. Under (4.5), its restriction is a nonzero polynomial in v: otherwise f_0 would vanish on the irreducible curve g=0. Define
The monomial inequality
shows that the restriction polynomial has degree at most
Let \mu be the weight of \nu_t(f_0). At v=1, the branch is \eta=0 and \xi vanishes simply. At v=-1, the branch is \xi=0 and \eta vanishes simply. Indeed, the chosen square root becomes v near 1 and -v near -1, and the nonzero branch coordinate in either case is 2v(v^2-1). Every nonzero pure \xi term in f_0 has exponent at least \mu, and every nonzero pure \eta term has exponent at least \mu/t. The restriction polynomial therefore has orders at least \mu and \mu/t at these two distinct points. Comparing their sum with (4.8) gives
To express this bound as a triangle, define its intercepts
For \nu_t(f_0)=(\alpha,\beta), inequality (4.9) is exactly \alpha/a+\beta/b\le\kappa-jd. Hence \nu_t(f_0)\in(\kappa-jd)\Delta(a,b).
The extracted factors account for the rest of the degree bound. Set c=1/d, so their contribution is \nu_t(g^j)=(j,j)=jd(c,c). The coefficients \kappa-jd and jd sum to \kappa, and therefore
Thus the axis triangle comes from the two branch orders, and the diagonal point comes from powers of the node equation.
From this point on, restrict the free parameter to t>T, where
The inequality
shows that Q is a quadrilateral with the vertices in the stated order. Its area is
The identity W=dH is what makes this area equal to that of the input triangle \Delta(A,B). The parameter t remains free to change the shape of Q for the later lattice-direction choice. For each label, replace its pair support by the possible values of \nu_t on its polynomial span. The product of the spaces in degrees k,l with labels \gamma,\gamma' lies in the space of degree k+l with label \gamma+\gamma', by the original support inclusion. Lemmas 2.2 and 2.3 preserve cardinality and the graded inclusion, and (4.11) supplies the bound \kappa Q.
We also need the jet implication for this change. At each fixed degree, choose a basis with distinct least exponents in each nonempty label space. One sufficiently small e>0 makes weights (1,t+e) select all these least terms strictly. To see this, choose M larger than all the selected (1,t)-weights. Among the finitely many exponents of weight at most M, a small positive perturbation preserves strict comparisons and realizes the tie-break by the second exponent. Make e smaller still so that all selected weights remain below M; exponents originally above M cannot interfere, because a positive perturbation only increases their weights. Lemmas 2.4 and 2.5 apply under (\xi,\eta)=(sX,s^{t+e}Y), with the other variables unchanged. Their inverse images are torus points. In fact, for each of the finitely many test points with X,Y\ne0, one has \eta/\xi\to0, while
Thus x,y\ne0 for all sufficiently small positive s. The local coordinate map is injective on a common neighborhood, so it also preserves distinctness of the test points.
From the quadrilateral to a triangle. Apply the integral shear
and then compress in the second coordinate. The transformed quadrilateral has vertices (0,0),(a,0),(0,c),(-b,b). For first coordinate q in [-b,0], its lower boundary is -q and its upper boundary is c+(c-b)q/b; their difference is c(1+q/b). For q\in[0,a], the vertical slice length is c(1-q/a). Compression therefore gives the triangle
Figure 1 displays these slice lengths geometrically. Lemmas 2.6 and 2.7 show that the exponent sets remain graded, retain their cardinalities, admit backward jet transfer, and are bounded, label by label, by \kappa P.
Figure 1: Bounding polygons in the diagonal compression. The shear turns lines of direction (1,1) into vertical lines. Moving each vertical slice to start at height zero produces P; the marked slices correspond under these operations. These are continuous bounds: actual row exponents are replaced by possible vanishing orders, not translated point by point. All three polygons have area H/2. Axis scales are chosen for legibility.
The area is now correct, but we have not yet obtained the prescribed intercept w. We choose a primitive integral direction whose transverse range is exactly H/w. In the resulting coordinates, the longest horizontal slice will have length w; compression will turn that length into the horizontal intercept.
Choosing the primitive direction. Put R=H/w and a_0=WT/(1+T). As t ranges over (T,\infty), the intercept a ranges over (a_0,W). Choose j to be the largest power of two not exceeding
Then
The open interval
has length
It therefore contains an odd integer i. This is the point of choosing j to be a power of two: the vector u=(i,j) is automatically primitive. Choose the unique t>T for which
The interval (4.16) ensures that this value lies in (a_0,W).
At the three vertices (-b,0),(a,0),(0,c) of P, the functional z\mapsto\det(u,z) takes values jb,-ja,i/d, respectively. They are distinct and ordered as
Their range is exactly i/d+ja=R. This choice used only inequalities between real numbers; in particular, no rationality of the intercepts was required. We now fix this t and this primitive vector for all degrees.
The two final compressions. Complete u to an integral basis (u,u') with determinant 1, and use the coefficients in that basis as new exponent coordinates. The second coordinate of a vector z is \det(u,z). Thus the transformed triangle still has area H/2, and its three vertex heights, say q_0<q_1<q_2, satisfy q_2-q_0=R.
Its horizontal slice length is zero at q_0, increases linearly up to q_1, and decreases linearly to zero at q_2. If the maximum slice length is h_{\max}, integration of this tent gives area Rh_{\max}/2. Hence h_{\max}=H/R=w. Compressing in the first coordinate therefore gives
Its vertical slice at first coordinate h\in[0,w] has length R(1-h/w). A final compression in the second coordinate produces \Delta(w,R), as illustrated in Figure 2.
Figure 2: The primitive direction is chosen so that the transverse height range is R=H/w. Since the area is H/2, the longest horizontal slice has length w. Horizontal compression aligns the left endpoints of these slices. Vertical compression then gives the right triangle with intercepts w and R. The middle and right panels mark vertical slices of equal length; the drawing is schematic.
All these changes satisfy Lemmas 2.6 and 2.7. They commute with scaling of the bounding shapes, so for the label \gamma the final pair exponents lie in \kappa\Delta(w,R). Substituting (4.3) gives (4.1). Cardinality, the graded inclusion, and the backward jet implication hold at every stage, proving all the assertions.
For clarity, the sets in every degree are defined by the fixed exact order \nu_t, the fixed integral maps, and exact orders of vanishing at 1. The perturbation e and the small scaling parameters only witness jet-rank implications at a specified degree. They may depend on that degree and on the test tuple without changing the sets or their graded inclusion.
5 Interior lattice points and interpolation
The reshaping proposition preserves the number of monomials, but does not describe each resulting exponent. For interpolation we need more than the correct asymptotic number: we need specific sets of exponents. Additivity across degrees supplies the missing information. An additive family F_k occupying asymptotically the full volume of kP contains every lattice point of kK for each fixed compact set K\subset\operatorname{int}P, once the degree k is sufficiently large.
The general semigroup approximation theorem of Kaveh and Khovanskii [6, Theorem 1.6] provides a broader setting for interior-saturation statements. Under the full-density hypothesis needed here, the following direct proof uses only decompositions into two summands.
Lemma 5.1 (Interior saturation). Let n\ge1 be an integer, let P\subset\R^n be a compact convex set with nonempty interior, and let F_k\subset kP\cap\Z^n for every integer k\ge1. Suppose that
For every compact set K\subset\operatorname{int}P, there is an integer k_K such that
Proof. The lattice-point estimate for a full-dimensional compact convex set gives
Consequently the sets of missing exponents
satisfy \#H_k=o(k^n). This estimate alone would allow individual missing points deep inside kP. We use additivity to exclude them.
We may assume that K is nonempty. Choose \delta>0 so that every closed ball of radius \delta centered in K is contained in P. For a large integer k, put k_1=\lfloor k/2\rfloor and k_2=k-k_1, and fix y\in kK\cap\Z^n. Write z=y/k. Every integer vector y_1 satisfying
gives a decomposition y=y_1+y_2 with y_i\in k_iP\cap\Z^n. Indeed, both y_1/k_1 and y_2/k_2 are within distance \delta of z. The ball in this display contains at least c k^n lattice points for all sufficiently large k, where c>0 is independent of y.
At most \#H_{k_1} choices have y_1\notin F_{k_1}, and at most \#H_{k_2} choices have y_2\notin F_{k_2}, because y_1\mapsto y-y_1 is injective. The total number excluded is o(k^n). Thus some decomposition has y_i\in F_{k_i}, and additivity gives y\in F_k. All constants and degree thresholds used here are uniform over y\in kK\cap\Z^n.
The lemma requires no finite-generation hypothesis on the sets F_k or on the semigroup they form. It also permits real, rather than rational, bounding polytopes. We next describe the exponents needed for interpolation in the simplex that will result from repeated reshaping.
Lemma 5.2 (Interpolation in an elongated simplex). Let n\ge2, r\ge1, and m\ge0 be integers, and let c_1,\ldots,c_r\in\C^* be distinct. Put
Then \M(E_{r,m}) surjects onto jets through degree m at the points
Proof. Write the coordinates as (x',Y), with n-1 coordinates in x'. At q_i, an arbitrary jet through degree m has a unique expression
For each \alpha, the Chinese remainder theorem provides a polynomial f_\alpha(Y) such that
The polynomial
has all the prescribed jets. Every monomial (x')^\beta Y^b occurring in its \alpha-summand satisfies \beta\le\alpha componentwise and hence
Thus f\in\M(E_{r,m}).
The two lemmas now convert asymptotically full additive supports into simultaneous jet surjectivity. Translating a slightly smaller simplex into the interior avoids any assertion about exponents on the boundary.
Proposition 5.3 (Jets from full-volume supports). Let n\ge2 and r\ge1 be integers, let w>0, and set
Suppose that finite sets F_k\subset kP\cap\Z^n, indexed by all integers k\ge1, satisfy
For every 0<\theta<w and every choice of distinct c_1,\ldots,c_r\in\C^*, the space \M(F_k) surjects onto jets through degree \lfloor k\theta\rfloor at (1,\ldots,1,c_i) for all sufficiently large k.
Proof. Choose \theta/w<\lambda<1. There is a vector a with strictly positive coordinates such that a+\lambda P\subset\operatorname{int}P: it suffices to require
Choose a_k\in k^{-1}\Z^n with a_k\to a. For all sufficiently large k, the translated simplices a_k+\lambda P lie in a single compact subset K of \operatorname{int}P. Lemma 5.1 therefore gives
Consequently \M(F_k) contains the monomial space for k\lambda P\cap\Z^n, multiplied by the monomial with exponent ka_k. Multiplication by this monomial is an isomorphism on each jet algebra at a torus point, since the monomial is a unit there.
Put m=\lfloor k\theta\rfloor. For all sufficiently large k, m+1\le k\lambda w, and hence
Lemma 5.2 supplies jet surjectivity for this subspace. The monomial translation preserves surjectivity and proves the claim.
6 Proof of the main theorem
We now assemble the exponent construction and interpolation results. The reshaping parameters will depend on the point count r, but a single threshold will allow every sufficiently large integer r. The final passage from jets to intersection numbers uses ordinary curve multiplicities, including at singular points of the curves.
6.1 The exponent sets for every sufficiently large point count
Fix the polarized variety (X,L) of Theorem 1.1, and write V=L^n. Choose an integer D>0 for which DL is very ample. Proposition 3.1 supplies additive support sets S_k with
Here P_0=\Delta(1/D,\ldots,1/D,D^{n-1}V). Let \ell>0 be the smallest intercept of P_0. Choose an integer r_0 such that
Such a choice exists because X and L are fixed.
Fix any integer r\ge r_0, and put w=(V/r)^{1/n}. Apply Proposition 4.1 to the first two intercepts, replacing them by w and their product divided by w. Keep the intercept w fixed, and pair the other new intercept with the next untouched one. Continue until n-1 intercepts equal w.
Every pair of input intercepts A,B in this procedure satisfies A,B\ge\ell. Indeed, an untouched intercept has this property, and the new carried intercept AB/w is greater than A, since B\ge\ell>w. Thus the hypothesis of Proposition 4.1 holds at every step:
The product of all intercepts remains V. We obtain finite sets F_k in
with
Since \vol(P_*)=V/n!, these sets satisfy the hypotheses of Proposition 5.3.
For each 0<\theta<w and all sufficiently large k, that proposition gives simultaneous jets through degree \lfloor k\theta\rfloor for \M(F_k) at an r-tuple of distinct torus points. Each application of Proposition 4.1 transfers this surjectivity to the preceding support set. Proposition 3.1 finally transfers it to H^0(X,kL) at some tuple of distinct points of X. In particular, for every such \theta and k, the set
is nonempty. The tuple witnessing this assertion may depend on both \theta and k.
6.2 A common very-general locus
For fixed integers k\ge1 and m\ge0, the locus of tuples at which H^0(X,kL) surjects onto jets through degree m is Zariski open in U_r(X). Indeed, the bundle of principal parts of order m of kL is locally free because X is smooth. Pulling it back along each coordinate projection of U_r(X) gives an algebraic vector-bundle map
Its surjectivity locus is defined by the nonvanishing of maximal minors.
Choose 0<\theta_j<w with \theta_j\uparrow w. For each j, choose k_j so that the locus in (6.3) is nonempty and \lfloor k\theta_j\rfloor\ge1 for every k\ge k_j. Denote this open locus by O_{j,k} and set
Every set in this countable union is a proper Zariski-closed subset of U_r(X).
The complement is nonempty. The complex points of U_r(X) form a nonempty locally compact Hausdorff space, and hence a Baire space. Since U_r(X) is smooth and irreducible, every proper algebraic closed subset has empty interior in its complex topology. A countable union of these closed subsets cannot cover U_r(X). Thus every tuple outside Z_r simultaneously has all the jet-surjectivity properties indexed by j and k\ge k_j.
6.3 From jets to ordinary curve multiplicities
The relation between Seshadri constants and jet separation appears in Demailly’s one-point formulation [3, Section 6] and in the weighted multipoint framework of Ito [5, Section 5]. The following elementary implication is the one needed here. We give its local proof, including at singular points of the curves.
Lemma 6.1 (Jets bound curve intersections). Let X be a smooth complex projective variety, let A be a line bundle on X, and let p_1,\ldots,p_r be distinct points. Suppose that, for an integer m\ge1, the map
is surjective. Then every integral curve C\subset X satisfies
provided that C meets at least one of the points.
Proof. Choose a point p_i\in C. The local ring R=\mathcal O_{C,p_i} is a one-dimensional Noetherian local domain. Its maximal ideal \frakm_R satisfies
Otherwise Nakayama’s lemma would give \frakm_R^m=0, contrary to \dim R=1. The quotient map from the ambient local ring to R lifts a nonzero element of this quotient to a jet on X with no terms of degree less than m. Prescribe this jet at p_i and the zero jet at every other marked point. By surjectivity, a section s\in H^0(X,A) has these jets. It vanishes to order at least m at every marked point, and its restriction to C is nonzero.
We recall the local intersection bound for this restriction. In a one-dimensional Noetherian local domain (R,\frakm_R), let 0\ne f\in\frakm_R^m. For every integer q\ge1, multiplication by powers of f gives
Since (f^q)\subset\frakm_R^{mq}, the Hilbert–Samuel formula yields
where e(R) is the ordinary multiplicity. Dividing by q and letting q\to\infty gives
Apply (6.5) to the local equations of s|_C at the marked points on C. The zero scheme of this nonzero section is an effective Cartier divisor on the integral projective curve, and its total length is \deg(A|_C)=A\cdot C. Summing the local contributions proves the assertion.
Fix a tuple \mathbf p\in U_r(X)\setminus Z_r. Applying Lemma 6.1 with A=kL and m=\lfloor k\theta_j\rfloor gives
First let k\to\infty for each fixed j, and then let j\to\infty. We obtain
6.4 The volume bound
For completeness, we derive the reverse inequality for every tuple of distinct points. Let \pi:Y\to X be the blow-up of such a tuple, with exceptional divisors E_1,\ldots,E_r. For t\ge0, put
If an integral curve \Gamma is contained in E_i\simeq\mathbb P^{n-1}, then D_t|_{E_i}=t\mathcal O_{\mathbb P^{n-1}}(1) is nonnegative on \Gamma. Every other integral curve is the strict transform of an integral curve C\subset X, and
Here E_i\cdot\Gamma=\mult_{p_i}C also when C is singular. If p_i\notin C, both sides vanish. For p_i\in C, identify the strict transform locally with the blow-up of \mathcal O_{C,p_i} at its maximal ideal. Its intersection with E_i is the zero-dimensional exceptional fiber \operatorname{Proj}(\operatorname{gr}_{\frakm}\mathcal O_{C,p_i}), whose length is the Hilbert–Samuel multiplicity. This is the degree of the effective Cartier divisor cut out by E_i on the strict transform.
It follows from (6.7) that D_t is nef whenever 0\le t<\eps(X,L;\mathbf p). A nef real divisor has nonnegative top self-intersection. The exceptional divisors are disjoint, \pi^*L|_{E_i} is trivial, and E_i^n=(-1)^{n-1}. Therefore
This inequality for all 0\le t<\eps(X,L;\mathbf p) proves the universal bound
Together, (6.6) and (6.8) give the equality asserted in Theorem 1.1 at every tuple outside Z_r. Equation (6.7) also shows that D_w is nef there, and its top self-intersection is zero. The threshold (6.1) was chosen before fixing r, so this proves the theorem for every integer r\ge r_0.
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