Math 2.0

Convex and discrete geometry Convex geometric analysis and geometric inequalities Concept

Mixed volume

Summary

Let K1,…,KrK_1, \dots, K_r be nonempty compact convex sets of ℝn\R^n and λi≥0\lambda_i \ge 0. The volume of the Minkowski sum λ1K1+⋯+λrKr\lambda_1 K_1 + \cdots + \lambda_r K_r is a homogeneous polynomial of degree nn in the λi\lambda_i. Its coefficients are the mixed volumes V(Ki1,…,Kin)V(K_{i_1}, \dots, K_{i_n}). Mixed volumes unify volume, surface area, mean width and many other measurements of convex bodies. They satisfy deep inequalities, above all the Alexandrov–Fenchel inequality.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Mixed_volume
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