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Minkowski second theorem on successive minima
Statement
Assume the Axiom of Choice (The Axiom of Choice). Let be compact, convex, centrally symmetric (A convex subset of contains every line segment between two of its points) with nonempty interior, and let be a full lattice with (Full Euclidean lattice and covolume). Let be the successive minima of with respect to (Successive minima of a convex body). Then
Facts & Assumptions
Given: A compact convex centrally symmetric with nonempty interior, a full lattice with , and the successive minima of with respect to .
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.
The successive minima are defined by , and for compact with nonempty interior and full one has ; also by convention (Successive minima of a convex body).
There exist linearly independent with for every (Attained successive minima and adapted flag).
With the centroid map of Successive-minima volume deformation and collision avoidance is Borel measurable, has , and no two distinct points of differ by an element of (Successive-minima volume deformation and collision avoidance).
Blichfeldt's principle: for a Lebesgue measurable with there are distinct with (Blichfeldt lattice-point principle).
If is a -basis of a full lattice , then ; consequently (Full Euclidean lattice and covolume, For same-sized finite square matrices over a commutative ring, , The determinant of a triangular matrix is the product of its diagonal entries).
Assume the Axiom of Countable Choice. For a linear with matrix , if then is measurable and for every Lebesgue measurable ; if , then is measurable and null for every (A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not).
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 can be computed by its coordinate integrals (for , 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, is a complete measure and is therefore additive over finite unions of pairwise disjoint measurable sets (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume).
A convex set contains every convex combination of finitely many of its points, and central symmetry means (A convex subset of contains every line segment between two of its points).
For with the index equals and is a positive integer; for real square matrices and (The index of a full-rank subgroup of is the absolute determinant of a generating matrix, For same-sized finite square matrices over a commutative ring, , The determinant of a triangular matrix is the product of its diagonal entries).
Proof
The minima satisfy , so every is a positive finite real number.
Let and .
For each sign vector let . These measurable sets cover . If , choose with ; then lies in the coordinate hyperplane . The projection onto is singular and has image , so [F6] and [A1] give . Thus the sign pieces overlap only on null sets. Each sign map is an invertible diagonal linear map with determinant of absolute value , so [F6] and [A1] give .
For the upper bound, [F3] gives for the Borel set , and by [F5].
By Tonelli's theorem [F7] applied to the indicator of the simplex, .
: every with is , a convex combination of the vectors after moving negative coefficients and adding the origin, and conversely every convex combination of the satisfies the inequality.
Choose linearly independent with by [F2], and let be the matrix with columns ; by step 1.1 the columns are well defined, and they are linearly independent, so is invertible and is measurable.
If then [F4] applied to the lattice produces distinct with , contradicting the collision-free clause of [F3]; hence .
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 .
Each lies in , and lies in by central symmetry; hence every convex combination of the points lies in by [F8]. Since by the same convex-combination identity as step 2.2, we have .
Let be a -basis of and , so ; each has with a unique , and for .
Therefore by [F6], whose Countable Choice hypothesis is supplied by [A1], and steps 3.1 and 3.2; writing we have , so by [F9], and multiplying the volume inequality by gives .
Since is invertible and by [F9], also ; hence is a positive integer by [F9], in particular at least .
It follows that , and combining with step 4.1 gives .
Steps 5.1 and 2.4 combine into .
Remarks
The two bounds have different shapes. The lower bound is geometric: the adapted vectors turn the cross-polytope of side data into a subset of , and the determinant comparison against a lattice basis produces the index factor . The upper bound is measure theoretic: the centroid deformation of [F3] has volume and avoids collisions modulo , so Blichfeldt's principle bounds that volume by . For , the cube attains the upper bound: all and . The cross-polytope attains the lower bound: again all , since contains the standard basis vectors and no with contains a nonzero lattice point, while by step 3.1. The cube attains both bounds only when .
Depends on
- Successive minima of a convex body
- Attained successive minima and adapted flag
- Successive-minima volume deformation and collision avoidance
- Blichfeldt lattice-point principle
- Fundamental parallelotope and finite bounded intersections
- A convex subset of $\mathbb{R}^m$ contains every line segment between two of its points
- Full Euclidean lattice and covolume
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- 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
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- 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
- The index of a full-rank subgroup of $\mathbb Z^n$ is the absolute determinant of a generating matrix
- AC implies DC implies countable choice
- The Axiom of Choice
Used by
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Sources
- Ben Green, Additive Combinatorics, Lecture 3 §3.7 (standard reference, not scraped)
- Martin Henk, Successive Minima and Lattice Points (standard reference, not scraped)