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Minkowski second theorem on successive minima

Statement

Assume the Axiom of Choice (The Axiom of Choice). Let C⊆Rn be compact, convex, centrally symmetric (A convex subset of Rm contains every line segment between two of its points) with nonempty interior, and let Λ⊆Rn be a full lattice with covol⁡(Λ)>0 (Full Euclidean lattice and covolume). Let λ1≤⋯≤λn be the successive minima of C with respect to Λ (Successive minima of a convex body). Then

2nn!covol⁡(Λ)  ≤  (∏i=1nλi)vol⁡(C)  ≤  2ncovol⁡(Λ).

Facts & Assumptions

Given: A compact convex centrally symmetric C⊆Rn with nonempty interior, a full lattice Λ with covol⁡(Λ)>0, and the successive minima λ1≤⋯≤λn of C with respect to Λ.

[A1]

The Axiom of Choice implies the Axiom of Countable Choice (AC implies DC implies countable choice), which supplies the hypotheses of the linear-change-of-variables fact [F6] invoked in steps 1.3 and 4.1, and of the Lebesgue-measure and Tonelli facts [F7] invoked in steps 2.1 and 3.1; no other selection is made.

[F1]

The successive minima are defined by λi=inf⁡{t>0:dim⁡span⁡(tC∩Λ)≥i}, and for C compact with nonempty interior and Λ full one has 0<λ1≤⋯≤λn<∞; also λ0:=0 by convention (Successive minima of a convex body).

[F2]

There exist linearly independent a1,…,an∈Λ with ai∈λiC for every i (Attained successive minima and adapted flag).

[F3]

With U:=int⁡(C) the centroid map Φ:U→Rn of Successive-minima volume deformation and collision avoidance is Borel measurable, has vol⁡(Φ(U))=(∏iλi)vol⁡(C), and no two distinct points of Φ(U) differ by an element of 2Λ (Successive-minima volume deformation and collision avoidance).

[F4]

Blichfeldt's principle: for a Lebesgue measurable S⊆Rn with vol⁡(S)>covol⁡(Λ) there are distinct x,y∈S with x−y∈Λ (Blichfeldt lattice-point principle).

[F5]

If b1,…,bn is a Z-basis of a full lattice Λ, then covol⁡(Λ)=∣det⁡(b1,…,bn)∣; consequently covol⁡(2Λ)=∣det⁡(2b1,…,2bn)∣=2ncovol⁡(Λ) (Full Euclidean lattice and covolume, For same-sized finite square matrices over a commutative ring, det⁡(AB)=det⁡(A)det⁡(B), The determinant of a triangular matrix is the product of its diagonal entries).

[F6]

Assume the Axiom of Countable Choice. For a linear T:Rn→Rn with matrix A, if det⁡A≠0 then T[E] is measurable and λn(T[E])=∣det⁡A∣ λn(E) for every Lebesgue measurable E; if det⁡A=0, then T[E] is measurable and null for every E⊆Rn (A linear map T of Rn sends Lebesgue measurable sets to Lebesgue measurable sets, with λn(T[E])=∣det⁡T∣ λn(E) when T is invertible and T[E] Lebesgue null when it is not).

[F7]

Under the Axiom of Countable Choice, product Lebesgue measure agrees with Euclidean Lebesgue measure on Borel sets, and Tonelli's theorem permits iterated integration; thus the volume of a Borel subset of Rn can be computed by its coordinate integrals (for n=1, use the one-dimensional integral directly) (On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}, Tonelli's theorem for nonnegative measurable functions on a sigma-finite product). Also under Countable Choice, λn is a complete measure and is therefore additive over finite unions of pairwise disjoint measurable sets (Assuming countable choice, L(Rn) is a sigma-algebra containing every elementary set and λn is a complete measure extending elementary volume).

[F8]

A convex set contains every convex combination of finitely many of its points, and central symmetry means −C=C (A convex subset of Rm contains every line segment between two of its points).

[F9]

For A∈Mn(Z) with det⁡A≠0 the index [Zn:AZn] equals ∣det⁡A∣ and is a positive integer; for real square matrices det⁡(AB)=det⁡(A)det⁡(B) and det⁡(2In)=2n (The index of a full-rank subgroup of Zn is the absolute determinant of a generating matrix, For same-sized finite square matrices over a commutative ring, det⁡(AB)=det⁡(A)det⁡(B), The determinant of a triangular matrix is the product of its diagonal entries).

Proof

1.1F1given

The minima satisfy 0<λ1≤⋯≤λn<∞, so every λi is a positive finite real number.

1.2given

Let Δ:={y∈Rn:∑i=1n∣yi∣≤1} and S:={y∈Rn:yi≥0, ∑iyi≤1}.

1.3F6A1algebra

For each sign vector ε=(ε1,…,εn)∈{±1}n let εS:={(ε1y1,…,εnyn):y∈S}. These 2n measurable sets cover Δ. If ε≠ε′, choose i with εi≠εi′; then εS∩ε′S lies in the coordinate hyperplane Hi={y:yi=0}. The projection onto Hi is singular and has image Hi, so [F6] and [A1] give λn(Hi)=0. Thus the sign pieces overlap only on null sets. Each sign map is an invertible diagonal linear map with determinant of absolute value 1, so [F6] and [A1] give λn(εS)=λn(S).

1.4F3F5

For the upper bound, [F3] gives vol⁡(Φ(U))=(∏iλi)vol⁡(C) for the Borel set Φ(U), and covol⁡(2Λ)=2ncovol⁡(Λ) by [F5].

2.1F7step 1.2

By Tonelli's theorem [F7] applied to the indicator of the simplex, λn(S)=∫01∫01−x1⋯∫01−x1−⋯−xn−11 dxn⋯dx1=1n!.

2.2step 1.2algebra

Δ=conv⁡{±e1,…,±en}: every y with ∑i∣yi∣≤1 is ∑iyiei, a convex combination of the vectors ±ei after moving negative coefficients and adding the origin, and conversely every convex combination of the ±ei satisfies the inequality.

2.3F2step 1.1

Choose linearly independent a1,…,an∈Λ with ai∈λiC by [F2], and let B be the matrix with columns a1/λ1,…,an/λn; by step 1.1 the columns are well defined, and they are linearly independent, so B is invertible and P:=B[Δ]={By:∑i∣yi∣≤1} is measurable.

2.4F3F4F5step 1.4

If vol⁡(Φ(U))>covol⁡(2Λ) then [F4] applied to the lattice 2Λ produces distinct x,y∈Φ(U) with x−y∈2Λ, contradicting the collision-free clause of [F3]; hence vol⁡(Φ(U))≤covol⁡(2Λ)=2ncovol⁡(Λ).

3.1F7step 1.3step 2.1

Disjointifying the finite cover in step 1.3 changes each piece only by a null set, so finite additivity and steps 1.3 and 2.1 give vol⁡(Δ)=∑ελn(εS)=2n/n!.

3.2F8step 2.2step 2.3

Each ai/λi lies in C, and −ai/λi lies in C by central symmetry; hence every convex combination of the 2n points ±ai/λi lies in C by [F8]. Since B[Δ]={∑iyi(ai/λi):∑i∣yi∣≤1}=conv⁡{±ai/λi} by the same convex-combination identity as step 2.2, we have P⊆C.

3.3F5step 2.3

Let b1,…,bn be a Z-basis of Λ and M=(b1 ⋯ bn), so covol⁡(Λ)=∣det⁡M∣; each ai∈Λ has ai=Mci with a unique ci∈Zn, and A=MD for D=(c1 ⋯ cn)∈Mn(Z).

4.1F6F9A1step 3.1step 2.3step 3.2

Therefore vol⁡(C)≥vol⁡(P)=∣det⁡B∣vol⁡(Δ)=2n∣det⁡B∣/n! by [F6], whose Countable Choice hypothesis is supplied by [A1], and steps 3.1 and 3.2; writing A=(a1 ⋯ an) we have B=Adiag⁡(1/λ1,…,1/λn), so det⁡B=det⁡A/∏iλi by [F9], and multiplying the volume inequality by ∏iλi>0 gives (∏iλi)vol⁡(C)≥2n∣det⁡A∣/n!.

4.2F9step 2.3step 3.3

Since A is invertible and det⁡A=det⁡Mdet⁡D by [F9], also det⁡D≠0; hence ∣det⁡D∣=[Zn:DZn] is a positive integer by [F9], in particular at least 1.

5.1F5step 4.1step 3.3step 4.2

It follows that ∣det⁡A∣=∣det⁡M∣∣det⁡D∣≥∣det⁡M∣=covol⁡(Λ), and combining with step 4.1 gives (∏iλi)vol⁡(C)≥2n∣det⁡A∣/n!≥(2n/n!)covol⁡(Λ).

6.1step 5.1step 2.4∎

Steps 5.1 and 2.4 combine into (2n/n!)covol⁡(Λ)≤(∏iλi)vol⁡(C)≤2ncovol⁡(Λ).

Remarks

The two bounds have different shapes. The lower bound is geometric: the adapted vectors ai∈λiC turn the cross-polytope of side data into a subset of C, and the determinant comparison against a lattice basis produces the index factor ∣det⁡D∣≥1. The upper bound is measure theoretic: the centroid deformation of [F3] has volume (∏iλi)vol⁡(C) and avoids collisions modulo 2Λ, so Blichfeldt's principle bounds that volume by covol⁡(2Λ). For Λ=Zn, the cube C=[−1,1]n attains the upper bound: all λi=1 and vol⁡(C)=2n. The cross-polytope C={x:∑i∣xi∣≤1} attains the lower bound: again all λi=1, since C contains the standard basis vectors and no tC with t<1 contains a nonzero lattice point, while vol⁡(C)=2n/n! by step 3.1. The cube attains both bounds only when n=1.

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