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Gruber P. Convex and Discrete Geometry

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29 Packing of Balls <strong>and</strong> Positive Quadratic Forms 435<br />

Later we will see that perfect forms – besides being of interest per se – play an<br />

important role for the determination of extreme forms or, more geometrically, for<br />

the determination of lattice packings of B d of locally maximum density. Minkowski<br />

[742] <strong>and</strong> Voronoĭ [1012] both proposed methods for finding all perfect forms in<br />

d variables. Unfortunately, these methods are not efficient <strong>and</strong> it is still a task to<br />

determine all perfect forms even for moderately large d.<br />

If the minimum vectors of a positive definite quadratic form on E d do not<br />

span E d , the form cannot be perfect. As a consequence of the above theorem <strong>and</strong><br />

Theorem 21.1 we thus obtain the following result:<br />

Theorem 29.7. There are only finitely many non-equivalent perfect positive definite<br />

quadratic forms on E d or, in other words, only finitely many equivalence classes of<br />

perfect positive definite quadratic forms on E d , with the same minimum.<br />

The numbers of non-equivalent perfect positive definite quadratic forms with<br />

given minimum have been evaluated for dimensions d = 2,...,8:<br />

d = 2: 1 : Lagrange [628]<br />

d = 3: 1 : Gauss [364]<br />

d = 4: 2 : Korkin <strong>and</strong> Zolotarev [611]<br />

d = 5: 3 : Korkin <strong>and</strong> Zolotarev [611]<br />

d = 6: 7 : Barnes [71]<br />

d = 7: 33 : Jaquet-Chiffelle [542]<br />

d = 8: 10916 : Dutour Sikiric <strong>and</strong> Schürmann [280]<br />

For more information see Martinet [691] <strong>and</strong> Nebe [767].<br />

Ryshkov’s Approach to Results of Korkin–Zolotarev <strong>and</strong> Voronoĭ on Perfect<br />

<strong>and</strong> Eutactic Forms<br />

In the following we describe an elegant path to the fundamental theorems of Korkin–<br />

Zolotarev <strong>and</strong> Voronoĭ, where as a tool for the determination of extreme forms a generalized<br />

convex polyhedron R(m) ⊆ P, m > 0, is used, dual to the so-called Voronoĭ<br />

polyhedron. (For the definition of generalized convex polyhedra, see Sect. 14.2.)<br />

It was introduced by Ryshkov [865], <strong>and</strong> we call it the Ryshkov’s polyhedron:<br />

R(m) = � �<br />

(a11,...,a1d, a22,...,add) ∈ E 1 2 d(d+1) : �<br />

�<br />

aik uiuk ≥ m .<br />

u∈Z d \{o}<br />

primitive<br />

R(m) is the intersection of closed halfspaces in E 1 2 d(d+1) with (interior) normal<br />

vectors (u2 1 , 2u1u2,...,2u1ud, u2 2 , 2u2u3,...,u2 d ).<br />

of R(m):<br />

We list several properties<br />

Proposition 29.1. R(m) is closed, convex <strong>and</strong> has non-empty interior. Each ray in P<br />

starting at the origin meets bd R(m) in precisely one point <strong>and</strong>, from that point on it,<br />

is contained in int R(m).<br />

i,k

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