# Flag representations of mixed volumes and mixed functionals of convex   bodies

**Authors:** Daniel Hug, Jan Rataj, Wolfgang Weil

arXiv: 1705.04816 · 2017-09-20

## TL;DR

This paper extends the representation formulas for mixed volumes of convex bodies in Euclidean space, using flag measures and curvature representations, generalizing previous special case results to more complex configurations.

## Contribution

It introduces a general flag measure representation for mixed volumes of multiple convex bodies, expanding on prior special case formulas and involving curvature and normal bundle techniques.

## Key findings

- Derived a curvature representation over normal bundles.
- Established a flag measure formula for general mixed volumes.
- Extended flag representations to mixed functionals and curvature measures.

## Abstract

Mixed volumes $V(K_1,\dots, K_d)$ of convex bodies $K_1,\dots ,K_d$ in Euclidean space $\mathbb{R}^d$ are of central importance in the Brunn-Minkowski theory. Representations for mixed volumes are available in special cases, for example as integrals over the unit sphere with respect to mixed area measures. More generally, in Hug-Rataj-Weil (2013) a formula for $V(K [n], M[d-n])$, $n\in \{1,\dots ,d-1\}$, as a double integral over flag manifolds was established which involved certain flag measures of the convex bodies $K$ and $M$ (and required a general position of the bodies). In the following, we discuss the general case $V(K_1[n_1],\dots , K_k[n_k])$, $n_1+\cdots +n_k=d$, and show a corresponding result involving the flag measures $\Omega_{n_1}(K_1;\cdot),\dots, \Omega_{n_k}(K_k;\cdot)$. For this purpose, we first establish a curvature representation of mixed volumes over the normal bundles of the bodies involved.   We also obtain a corresponding flag representation for the mixed functionals from translative integral geometry and a local version, for mixed (translative) curvature measures.

## Full text

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/1705.04816/full.md

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Source: https://tomesphere.com/paper/1705.04816