WorksMathematics
Ehrhart positivity of smooth polytopes with few facets
Abstract
For each dimension , we determine the minimum number of facets of a smooth -dimensional lattice polytope whose Ehrhart polynomial has at least one negative coefficient. This minimum is six in dimension , seven in dimension , and in every dimension . The lower bounds follow from the classification of smooth lattice polytopes with at most facets, together with explicit formulas for Ehrhart polynomials in dimensions at most . We also prove that a lattice polytope of dimension at least with a smooth vertex cannot be -integral with respect to any ordered lattice basis.
Introduction
A lattice polytope is the convex hull of finitely many points of . Throughout this paper, a -dimensional lattice polytope is assumed to be full-dimensional in . Its lattice-point counting function is
Ehrhart [2, 5] proved that the function is a polynomial in of degree . This polynomial is called the Ehrhart polynomial of . The leading coefficient is the volume of , the coefficient of is half its lattice boundary volume, and the constant coefficient is one. Our volume convention assigns volume one to a fundamental parallelepiped of the relevant lattice. In particular, the volume of a unimodular -simplex is .
A polytope is Ehrhart positive if for every . Ehrhart positivity has attracted considerable attention in recent years. We refer the reader to [10] for a survey of this topic.
A nonzero vector of is primitive if it is not an integer multiple of another lattice vector with . A vertex of a lattice -polytope is smooth if exactly edges meet at and their primitive directions form a basis of . A polytope is smooth if all its vertices are smooth. This is also called the Delzant condition. Smooth polytopes occur as moment polytopes of nonsingular projective toric varieties; background on this correspondence is available in [4].
Castillo, Liu, Nill, and Paffenholz [3, Theorem 1.2] proved that in every dimension a smooth lattice polytope can have negative coefficients in all degrees . Their examples arise from repeated vertex truncations followed by products. In [3 Example 1.5], this gave a smooth reflexive polytope of dimension 9 with 12 facets and linear Ehrhart coefficient . Thus the assertion that every smooth -polytope with at most facets is Ehrhart positive already fails.
This example partially answers the following open problem.
Question 1.1 ([1]). Are -dimensional smooth polytopes with facets Ehrhart positive or satisfy the higher integrality condition?
The restriction on the number of facets nevertheless suggests a more precise question:
Question 1.2. How few facets can a smooth polytope with a negative Ehrhart coefficient have?
For , define
where denotes the number of facets and the minimum of the empty set is .
Theorem 1.3. The minimum facet numbers are
More precisely, every smooth -polytope with facets is Ehrhart positive, and every smooth -polytope with facets is Ehrhart positive when . Counterexamples with exactly facets exist in every dimension .
The lower bounds in Theorem 1.3 use the classification of smooth polytopes with few facets. The case of facets is due to Kleinschmidt [8]; the corresponding polytopes are described explicitly in [7 §4.1]. The proof of positivity in dimensions at most four reduces to the first two moments of weak compositions and the power sums of degrees at most three. The upper bounds follow from two families whose slices are simplices or products of a simplex and an interval.
Question 1.1 concerns higher integrality in the sense of Liu [9]. After an ordered basis of has been chosen, let be projection onto the first coordinates. A lattice polytope is -integral if
for every -dimensional face and every . For , Liu’s coefficient theorem implies that -integrality is sufficient for Ehrhart positivity. This condition concerns a common ordered lattice basis for all faces; ordinary lattice integrality alone does not imply it. We also obtain the following result.
Theorem 1.4. A lattice polytope of dimension with a smooth vertex is not 2-integral with respect to any ordered lattice basis. Consequently, a smooth -polytope with is not -integral with respect to any ordered lattice basis, regardless of its number of facets.
The paper is organized as follows. § 2 records the enumerative results used in the proofs. § 3 proves positivity for smooth polytopes with at most facets in dimensions at most 4. § 4 and § 5 construct the counterexamples and complete the proof of Theorem 1.3. § 6 proves Theorem 1.4 and discusses its relation to Liu’s condition.
Preliminaries
An affine unimodular transformation of is a map , where is an integer matrix with determinant or and . Such a map preserves smoothness, facet numbers, and Ehrhart polynomials. Indeed, for every nonnegative integer , the map is a bijection between the lattice points of and those of .
The standard lattice -simplex is
For every nonnegative integer , its dilation contains
lattice points. This is the standard weak-composition formula: the slack coordinate gives a bijection with weak compositions of into parts; see [12 Chapter 1].
To check smoothness at a vertex, we shall list all edges through that vertex and calculate their primitive directions. If exactly edges meet there, arrange these directions as the columns of an integer matrix. They form a basis of precisely when the determinant is or . Indeed, an integer matrix with either determinant has an integer inverse by the cofactor formula; conversely, a matrix and its integer inverse have integer determinants whose product is one. All coordinates below refer to the displayed standard lattices.
Smooth polytopes with or facets
The classification of smooth polytopes with facets is due to Kleinschmidt [8]. Its explicit description as a convex hull of simplices is given in [7 §4.1]. In the coordinates below, the last coordinates range over a dilated simplex, and fixing those coordinates leaves a dilated simplex in the first coordinates. This description will allow us to count lattice points by the weak-composition formula.
Theorem 2.1. Let be a smooth lattice -polytope.
(i) If has facets, then is affinely unimodularly equivalent to for a positive integer .
(ii) If has facets, then there are positive integers with and nonnegative integers such that is affinely unimodularly equivalent to
Proof of (1). A -polytope with facets is a simplex. Translate one vertex to the origin. The primitive directions of the edges from this vertex form a lattice basis, so an integer change of coordinates with determinant or sends them to the standard basis vectors . In these coordinates,
for positive integers . If , this already gives the required form. Suppose that , and fix . The primitive edge directions at are
The absolute value of their determinant is
Smoothness at implies that this product equals one. Each factor is a positive integer, so for every . Thus divides . Since was arbitrary, any two of the divide one another, and hence . Their common value is the required integer .
To express the classification in (2) directly in terms of simplices, let now denote the standard basis of . The convex-hull description in [7 §4.1], with its integral parameters, is
The parameters and are positive integers, and the are nonnegative integers. The simplex in the first coordinates has dilation factor at and at . Thus records the increase in the dilation factor per unit change of the coordinate .
Here is the equivalence between this convex hull and (1). Every has the unique expression
where and . If belongs to the displayed convex hull, then
Consequently, for every , and
Conversely, suppose that satisfies (1). Since , the vector
belongs to . The identity
places in the convex hull. This proves the claimed equivalence. In particular, at each fixed , the allowed first coordinates form exactly
If , the polytope is the product .
Power sums
For nonnegative integers , define
where also for . In particular, , and
We use these classical identities, and the general power-sum formula, as established results; see [11 §24.4(iii)]. To fix the sign convention, the Bernoulli numbers are defined by
Thus , , , , and . For , the required version of the power-sum formula is
Its right-hand side is the polynomial agreeing with for nonnegative integer . In particular, for ,
The upper limit in (3) excludes the constant term, which is zero when . The separate formula will be used whenever .
Positivity with at most two additional facets
Proposition 3.1. Every smooth lattice -polytope with facets is Ehrhart positive. Every smooth lattice -polytope with facets is Ehrhart positive if .
Proof. The first assertion follows from Theorem 2.1(i). Indeed,
Each factor has positive coefficients, and the product has a positive coefficient in every degree from zero to .
For the second assertion, Theorem 2.1(ii) allows us to assume that has the form (1). For a fixed lattice point , the allowed -coordinates form the simplex . The number of its lattice points is
All arguments of this binomial coefficient are nonnegative integers because and . Consequently,
When , this notation means the single sum with .
The case . The number of weak compositions of into parts is . Their coordinate sums are equal by permutation symmetry. Since the sum of all coordinates in each composition is , the sum of any specified coordinate over all compositions is
The summand in (5) is now . Summing its constant and coordinate terms separately gives
The binomial factor has positive coefficients in degrees zero through . The second factor has positive constant and linear coefficients. Their product is therefore Ehrhart positive.
The case and . Equation (5) becomes
The displayed product, before summation, is a polynomial in and with nonnegative coefficients. Its degree in is at most . Every monomial , where , contributes after summation. The formulas in (2) show that each of these contributions has nonnegative coefficients as a polynomial in .
It remains to verify positivity in every degree. The part of the product independent of contributes
which has positive coefficients in all degrees from zero to . All the remaining contributions have nonnegative coefficients. Thus every coefficient of is positive.
The case . This is the only case with not covered above. The pairs with and correspond to weak compositions of into three parts, where . Their number is . We have
and
The summand in (5) is
By (6), we obtain
The coefficient is nonnegative. All coefficients of the expression in parentheses, as a polynomial in , are consequently nonnegative. Its term , together with the prefactor, contributes a positive coefficient in every degree from zero to four. Thus is Ehrhart positive. The three cases exhaust all positive integers with .
A construction with three additional facets
For integers and , consider
For each fixed , the allowed -coordinates form the product
As increases, the dilation factor of the simplex increases and the length of the interval decreases. Both are at least one throughout , so neither factor loses dimension, including at and .
Proposition 4.1. The polytope has dimension , exactly facets, and vertices. It is a smooth lattice polytope. Its Ehrhart polynomial satisfies
Proof. For each fixed , the allowed pairs form
Both $1+cz$ and are at least one. A point with , all , , and satisfies every defining inequality strictly. Such points exist, so has dimension $r+2.
Each inequality in (7) defines a facet. The faces and are products of an -simplex and a nondegenerate interval, so each has dimension . On the face , choose and choose all with . Every other defining inequality is then strict, so this face has dimension . The same argument applies to . On , choose the remaining -coordinates positive with sum less than , and choose and in the interiors of their allowed intervals. This again gives a relatively open set of dimension ; when , there are no remaining -coordinates to choose. Finally, the equation allows all to be positive, with and , and also defines a face of dimension . The supporting hyperplanes are distinct. Thus there are exactly facets.
Every vertex has or . To see this, consider a point with , and set
Then
The two points on the right belong to and have different last coordinates. The point therefore lies in the interior of a nondegenerate segment contained in and cannot be a vertex. Let be the standard basis of , and set . The two endpoint faces are products of a simplex and an interval. Their vertices, and hence all the vertices of , are
Every vertex of an endpoint face is a vertex of the whole polytope. These points are distinct lattice points.
Fix a vertex . Exactly facet equations hold at this vertex: equations from the simplex inequalities, one equation for , and . These equations are independent. Indeed, after is fixed, the simplex equations determine uniquely as , and the equation for determines . The edges incident to this vertex are precisely
The first segments are the simplex edges in the face ; the next is the interval edge in that face. For the last segment, retain the simplex equations and the equation for , and allow to vary. These equations give
which describes exactly the segment joining to . Thus each listed segment is a one-dimensional intersection of facets. They exhaust the incident edges: at a vertex where exactly independent facet equations hold, each incident edge is obtained by retaining of those equations, and the list above accounts for each possible omitted equation.
The primitive directions of these edges, pointing away from , are
For the simplex edges, the difference of the endpoints is ; the vector is primitive because one of its coordinates equals or . For the interval edge, the difference is . For the edge joining the two endpoint faces, the displayed direction is already the difference of the endpoints and is primitive because its last coordinate is or .
The vectors , with , form a basis of . For , they are the standard basis. For , they consist of and for , . Subtracting from each of the latter vectors gives , so these vectors also form an integer basis. Let be the matrix with these vectors as columns in any fixed order, and set and . The matrix whose columns are the primitive directions listed above is
Expansion along the last row, followed by expansion along the row for the -coordinate, gives determinant or . Consequently, the primitive incident edge directions form a basis of . This proves smoothness at every vertex.
For a nonnegative integer , the inequalities of are
At an integer height , there are choices for the integer vector and choices for the integer . These choices are independent. Summation over gives (8) for every nonnegative integer , and hence determines the Ehrhart polynomial.
Proposition 4.2. For every integer ,
Its linear coefficient is negative precisely when .
Proof. The summand in (8) for has the identity
The first term is independent of , while the second involves only the first two power sums. Thus
Expansion gives (9). The condition on the linear coefficient is
The positive root of the quadratic is , which lies between eight and nine. Since is a nonnegative integer, the coefficient is negative exactly when .
For , Proposition 4.1 gives a smooth three-dimensional lattice polytope with six facets and eight vertices, and (9) gives
For example, the two integer slices at dilation one each contain 22 lattice points, so , in agreement with the polynomial.
Remark 4.3. The polytope is the convex hull of
This construction is called the Cayley sum of the two rectangles. Smooth Cayley sums of boxes and their lattice-point counts are treated in [6 Proposition 2.3 and Theorem 3.1]. The computation above specializes this construction and identifies the sign of each Ehrhart coefficient.
For , the simplex factor in (8) is quadratic. A direct expansion gives
At , the formulas in (2) turn (10) into
The polytope is smooth and has seven facets by Proposition 4.1. Both coefficients that can be negative in dimension four are negative in this example.
The family also gives counterexamples with exactly facets in every dimension , with a negative coefficient of .
Proposition 4.4. For every integer , we have
Thus, for each , the coefficient of is negative in a smooth -polytope with exactly facets when is sufficiently large.
Proof. The binomial polynomial in (8) equals
Its coefficient of is . The other factor in the summand is , whose coefficient of is . Therefore the coefficient of in the whole lattice-point count is
Every remaining power of has degree at most ; its coefficient is a polynomial in because it is a finite linear combination of power sums. Thus the coefficient of in the Ehrhart polynomial is itself a polynomial in of degree at most .
By Equation (3) with , we obtain
The coefficient of in is consequently . This proves the displayed asymptotic formula. Dividing it by gives a limit equal to , which is negative. The coefficient is therefore negative for every sufficiently large integer . Finally, and by Proposition 4.1. □
Two additional facets in dimensions at least five
A related family is obtained by retaining only the simplex coordinates and the height coordinate. For integers and , define
Proposition 5.1. The polytope is a smooth lattice polytope of dimension , with exactly facets and vertices. Its Ehrhart polynomial is
Proof. For each fixed , the inequalities in (12) allow exactly the -coordinates in . Its dilation factor is at least one. There are points with , all , and . Such points satisfy every defining inequality strictly, so has dimension .
The faces and are -dimensional simplices. On a face , choose and choose the remaining -coordinates positive with sum less than . This gives a relatively open subset of dimension ; when , the face is the segment , . On the face , choose all and , again obtaining a relatively open subset of dimension . Thus each displayed inequality defines a facet. Their supporting hyperplanes are distinct, so there are exactly facets.
Suppose that and . Set . The identity
expresses as a point in the interior of a segment joining two distinct points of . It is therefore not a vertex. Let be the standard basis of , and set . The complete list of vertices is
Indeed, these are precisely the vertices of the two endpoint faces, and a vertex of either face is a vertex of the whole polytope. The listed points are distinct lattice points.
At , exactly facet equations hold: the simplex equations determining and the equation . They are independent. The incident edges are
The first are the edges of the simplex face . For the last edge, retain the simplex equations and allow to vary. Their solutions in are exactly
so they form the segment joining to . These are all the incident edges, since each is obtained by omitting one of the independent facet equations at the vertex. Their primitive directions, pointing away from , are
The first vectors are primitive because each has a coordinate equal to 1 or . The difference of the endpoints of the last edge is the final displayed vector; its last coordinate is 1 or , so it is primitive for every .
The vectors , , form a basis of . When , they are the standard basis. When , they are and for , ; subtracting from each of the latter vectors produces the remaining standard basis vectors. Let be the matrix with these vectors as columns, and set . The matrix of all the primitive incident edge directions is
Its determinant, obtained by expansion along the last row, is or . Thus the primitive incident edge directions form a basis of , proving smoothness at every vertex.
For a nonnegative integer , an integer height in satisfies . At this height, the possible integer vectors satisfy
The weak-composition formula gives such vectors. Summation over proves (13).
Theorem 5.2. For each integer , we have
Consequently, for every , a smooth lattice -polytope with exactly facets can have a negative coefficient of .
Proof. The product expression
shows that the coefficient of in the summand is . Every other term has -degree at most . After summation over , these terms remain polynomials in by (3) and the separate identity . Hence (13) has the form
where the polynomials have rational coefficients independent of . The coefficient in (4) now gives
The coefficient is a polynomial in with negative leading coefficient. Its quotient by tends to , so it is negative for every sufficiently large integer . Proposition 5.1 gives dimension and facet number . The relevant exponent is , as required.
For , an explicit five-dimensional example given
In particular, at the polytope
has seven facets and ten vertices, and its Ehrhart polynomial is
Proof of Theorem 1.3. Every full-dimensional -polytope has at least facets; this standard fact is discussed in [13 Chapter 2]. In dimensions one and two, the leading, second highest, and constant Ehrhart coefficients account for all coefficients, and they are positive by the basic Ehrhart coefficient formulas. Thus .
In dimensions three and four, Proposition 3.1 gives positivity whenever the number of facets is or . Thus for . The polytope has six facets and negative linear coefficient by Proposition 4.2; hence . The polytope has seven facets and the negative coefficients displayed in (11); hence .
For , Proposition 3.1 gives positivity with facets, so . Theorem 5.2, with , supplies a smooth -polytope with exactly facets and a negative Ehrhart coefficient. Thus for every .
Higher integrality and smooth vertices
We use higher integrality in the sense of Liu. Its definition involves an ordered lattice basis, and every face condition must hold with respect to that same basis. The following is the full-dimensional specialization of [9 Definition 1.1].
Definition 6.1. An ordered basis of determines coordinate projections by
Here . An affine subspace of dimension is integral with respect to this basis if
For an integer , a lattice polytope is -integral with respect to this basis if the affine hull of every -dimensional face is integral for every .
The condition for says that every vertex is a lattice point. Thus 0-integrality is ordinary lattice integrality, and -integrality implies 1-integrality whenever . The existence of an ordered basis satisfying the definition is invariant under affine unimodular transformations: such a transformation transports the lattice basis and the affine lattices of all faces.
We recall only the coefficient consequence of Liu’s theorem that is needed here. For a polytope in , the notation denotes volume measured so that a fundamental parallelepiped of has volume one. In particular, a unimodular -simplex has volume , and the volume of the point in is one.
Theorem 6.2 (Liu; [9 Theorem 1.3]). If a full-dimensional lattice -polytope is -integral with respect to an ordered lattice basis, then
For , this formula implies that -integrality is sufficient for Ehrhart positivity, as observed in [9]. Indeed, all the projected polytopes have their indicated dimensions and positive volumes, and the leading two Ehrhart coefficients are positive for every lattice polytope. In the particular case , the linear Ehrhart coefficient is the length of a lattice interval and is therefore a positive integer. The results below give elementary obstructions that do not require computation of an Ehrhart polynomial.
Lemma 6.3. A lattice polytope is 1-integral with respect to an ordered lattice basis having first coordinate functional if and only if
for every primitive edge direction of . Consequently, is 1-integral with respect to some ordered lattice basis if and only if an integer linear functional satisfying these equations exists.
Proof. The definition of 1-integrality imposes conditions on the vertices and on the edges. Each zero-dimensional face is a singleton , where because is a lattice polytope. Its affine hull is again , so
Thus every vertex satisfies the condition required in dimension zero.
Let be an edge with lattice endpoint and primitive direction . Its affine hull is the line . We claim that the lattice points on this line are exactly . Write in standard lattice coordinates. Since is primitive, the greatest common divisor of its coordinates is one. Hence there are integers with . If for a real number , then and therefore
Conversely, is a lattice point on the line for every . Consequently,
Both and are integers. The last set equals if and only if , or equivalently . The conditions for vertices and edges together prove the first assertion.
The first coordinate functional of any ordered lattice basis is an integer linear functional, so the first assertion gives one direction of the final equivalence. Conversely, suppose that an integer linear functional satisfies for every primitive edge direction. Choose one such direction and change its sign if necessary to obtain with . Every then has the decomposition
This decomposition is unique: if belongs to , then . Thus
The second summand has a lattice basis , and is an ordered basis of . In this basis, and for , so is the first coordinate functional. The first assertion now shows that is 1-integral with respect to this basis. □
Lemma 6.4. If is a smooth vertex of , with primitive incident edge directions , then for every pair of distinct indices there is a two-dimensional face containing those two edges, with
Proof. Orient each from into its incident edge. Since is smooth, the vectors form a basis of . Let be the corresponding coordinate functionals; explicitly,
Thus every has the unique expression , and each takes integer values on .
The cone consisting of the nonnegative multiples of vectors in is generated by the directions of the edges incident to ; see [13]. Hence
In particular, if , then every coordinate is nonnegative. Fix distinct indices , and define the linear functional
We have for all and . Therefore the points at which this functional attains its minimum form a face
For , all summands in are nonnegative. Their sum is zero precisely when for every . It follows that
Each point on the edge from in direction has the form with and satisfies . The same argument applies to the edge in direction . Thus both edges lie in . Their directions are linearly independent, so has dimension at least two. The displayed containment gives the reverse bound and proves
When , the sum defining is empty and equals zero; in that case , and the same conclusion holds.
Let . Since and form a lattice basis, there are unique integers such that
On the other hand, the formula for gives real numbers with . Uniqueness of coordinates in the real basis implies that for , , and . Therefore . Conversely, for any integers , the point is a lattice point in . These two inclusions prove
This completes the proof.
Proof of Theorem 1.4. A contradiction follows if an ordered lattice basis makes 2-integral. Its first two coordinate functionals will be denoted by . The primitive incident directions at a smooth vertex will be denoted by . The edge criterion gives for every .
For any distinct , the preceding lemma supplies a two-face whose affine lattice is . Its projection onto the first two coordinates must be all of . Since the projection of is an integer vector, the two projected directions must generate . The integer matrix with those directions as columns therefore has determinant or :
Reduction modulo two, using , shows that and have opposite parity. This must hold for every pair. Among the three integers , however, two have the same parity. The contradiction proves the first assertion for every choice of ordered basis.
When , the inequality shows that -integrality would imply 2-integrality. Every vertex of a smooth polytope is smooth, so the first assertion proves the remaining conclusion.
The three-dimensional polytope fails even 1-integrality. Three of its edges are
They are obtained by imposing, respectively, the facet equalities , , and , . Their primitive directions are , , and . A functional satisfying the edge criterion would have and therefore
contrary to that criterion. Together with its negative linear coefficient, this gives a six-facet example failing both properties in dimension three. The higher-dimensional counterexamples of Theorem 1.3 also fail the sufficient higher integrality condition by Theorem 1.4.
Failure of 1-integrality already occurs for the standard smooth simplex when . Its primitive edge directions include , , and . If the first two functional values are each or , their difference belongs to , which excludes the required value on the third direction. This simplex is Ehrhart positive and has facets, so even the smallest possible facet number does not force 1-integrality.
The order of the obstruction is sharp. For the standard cube , every primitive edge direction is a coordinate vector or its negative. The integer functional satisfies the edge criterion, and the cube is consequently 1-integral with respect to a suitable ordered lattice basis. In dimensions at least three, Theorem 1.4 prevents it from being 2-integral in any basis.
Acknowledgments: Feihu Liu was partially supported by the Postdoctoral Fellowship Program and China Postdoctoral Science Foundation (Grant No. BX2026002).
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