Minkowski's second theorem

In mathematics, Minkowski's second theorem is a result in the geometry of numbers about the values taken by a norm on a lattice and the volume of its fundamental cell.

Setting

Let K be a closed convex centrally symmetric body of positive finite volume in n-dimensional Euclidean space Rn. The gauge[1] or distance[2][3] Minkowski functional g attached to K is defined by g ( x ) = inf { λ R : x λ K } . {\displaystyle g(x)=\inf \left\{\lambda \in \mathbb {R} :x\in \lambda K\right\}.}

Conversely, given a norm g on Rn we define K to be K = { x R n : g ( x ) 1 } . {\displaystyle K=\left\{x\in \mathbb {R} ^{n}:g(x)\leq 1\right\}.}

Let Γ be a lattice in Rn. The successive minima of K or g on Γ are defined by setting the k-th successive minimum λk to be the infimum of the numbers λ such that λK contains k linearly-independent vectors of Γ. We have 0 < λ1λ2 ≤ ... ≤ λn < ∞.

Statement

The successive minima satisfy[4][5][6] 2 n n ! vol ( R n / Γ ) λ 1 λ 2 λ n vol ( K ) 2 n vol ( R n / Γ ) . {\displaystyle {\frac {2^{n}}{n!}}\operatorname {vol} \left(\mathbb {R} ^{n}/\Gamma \right)\leq \lambda _{1}\lambda _{2}\cdots \lambda _{n}\operatorname {vol} (K)\leq 2^{n}\operatorname {vol} \left(\mathbb {R} ^{n}/\Gamma \right).}

Proof

A basis of linearly independent lattice vectors b1, b2, ..., bn can be defined by g(bj) = λj.

The lower bound is proved by considering the convex polytope 2n with vertices at ±bj/ λj, which has an interior enclosed by K and a volume which is 2n/n!λ1 λ2...λn times an integer multiple of a primitive cell of the lattice (as seen by scaling the polytope by λj along each basis vector to obtain 2n n-simplices with lattice point vectors).

To prove the upper bound, consider functions fj(x) sending points x in K {\textstyle K} to the centroid of the subset of points in K {\textstyle K} that can be written as x + i = 1 j 1 a i b i {\textstyle x+\sum _{i=1}^{j-1}a_{i}b_{i}} for some real numbers a i {\textstyle a_{i}} . Then the coordinate transform x = h ( x ) = i = 1 n ( λ i λ i 1 ) f i ( x ) / 2 {\displaystyle x'=h(x)=\sum _{i=1}^{n}(\lambda _{i}-\lambda _{i-1})f_{i}(x)/2} has a Jacobian determinant J = λ 1 λ 2 λ n / 2 n {\textstyle J=\lambda _{1}\lambda _{2}\ldots \lambda _{n}/2^{n}} . If p {\textstyle p} and q {\textstyle q} are in the interior of K {\textstyle K} and p q = i = 1 k a i b i {\textstyle p-q=\sum _{i=1}^{k}a_{i}b_{i}} (with a k 0 {\textstyle a_{k}\neq 0} ) then ( h ( p ) h ( q ) ) = i = 0 k c i b i λ k K {\displaystyle (h(p)-h(q))=\sum _{i=0}^{k}c_{i}b_{i}\in \lambda _{k}K} with c k = λ k a k / 2 {\textstyle c_{k}=\lambda _{k}a_{k}/2} , where the inclusion in λ k K {\textstyle \lambda _{k}K} (specifically the interior of λ k K {\textstyle \lambda _{k}K} ) is due to convexity and symmetry. But lattice points in the interior of λ k K {\textstyle \lambda _{k}K} are, by definition of λ k {\textstyle \lambda _{k}} , always expressible as a linear combination of b 1 , b 2 , b k 1 {\textstyle b_{1},b_{2},\ldots b_{k-1}} , so any two distinct points of K = h ( K ) = { x h ( x ) = x } {\textstyle K'=h(K)=\{x'\mid h(x)=x'\}} cannot be separated by a lattice vector. Therefore, K {\textstyle K'} must be enclosed in a primitive cell of the lattice (which has volume vol ( R n / Γ ) {\textstyle \operatorname {vol} (\mathbb {R} ^{n}/\Gamma )} ), and consequently vol ( K ) / J = vol ( K ) vol ( R n / Γ ) {\textstyle \operatorname {vol} (K)/J=\operatorname {vol} (K')\leq \operatorname {vol} (\mathbb {R} ^{n}/\Gamma )} .

References

  1. ^ Siegel (1989) p.6
  2. ^ Cassels (1957) p.154
  3. ^ Cassels (1971) p.103
  4. ^ Cassels (1957) p.156
  5. ^ Cassels (1971) p.203
  6. ^ Siegel (1989) p.57
  • Cassels, J. W. S. (1957). An introduction to Diophantine approximation. Cambridge Tracts in Mathematics and Mathematical Physics. Vol. 45. Cambridge University Press. Zbl 0077.04801.
  • Cassels, J. W. S. (1997). An Introduction to the Geometry of Numbers. Classics in Mathematics (Reprint of 1971 ed.). Springer-Verlag. ISBN 978-3-540-61788-4.
  • Nathanson, Melvyn B. (1996). Additive Number Theory: Inverse Problems and the Geometry of Sumsets. Graduate Texts in Mathematics. Vol. 165. Springer-Verlag. pp. 180–185. ISBN 0-387-94655-1. Zbl 0859.11003.
  • Schmidt, Wolfgang M. (1996). Diophantine approximations and Diophantine equations. Lecture Notes in Mathematics. Vol. 1467 (2nd ed.). Springer-Verlag. p. 6. ISBN 3-540-54058-X. Zbl 0754.11020.
  • Siegel, Carl Ludwig (1989). Komaravolu S. Chandrasekharan (ed.). Lectures on the Geometry of Numbers. Springer-Verlag. ISBN 3-540-50629-2. Zbl 0691.10021.