arXiv Analytics

Sign in

arXiv:1302.1056 [math.OC]AbstractReferencesReviewsResources

A generalization of Löwner-John's ellipsoid theorem

Jean-Bernard Lasserre

Published 2013-02-05, updated 2014-12-23Version 4

We address the following generalization $P$ of the Lowner-John ellipsoid problem. Given a (non necessarily convex) compact set $K\subset R^n$ and an even integer $d$, find an homogeneous polynomial $g$ of degree $d$ such that $K\subset G:=\{x:g(x)\leq1\}$ and $G$ has minimum volume among all such sets. We show that $P$ is a convex optimization problem even if neither $K$ nor $G$ are convex! We next show that $P$ has a unique optimal solution and a characterization with at most ${n+d-1\choose d}$ contacts points in $K\cap G$ is also provided. This is the analogue for $d\textgreater{}2$ of the Lowner-John's theorem in the quadratic case $d=2$, but importantly, we neither require the set $K$ nor the sublevel set $G$ to be convex. More generally, there is also an homogeneous polynomial $g$ of even degree $d$ and a point $a\in R^n$ such that $K\subset G\_a:=\{x:g(x-a)\leq1\}$ and $G\_a$ has minimum volume among all such sets (but uniqueness is not guaranteed). Finally, we also outline a numerical scheme to approximate as closely as desired the optimal value and an optimal solution. It consists of solving a hierarchy of convex optimization problems with strictly convex objective function and Linear Matrix Inequality (LMI) constraints.

Comments: To appear in Mathematical Programming
Categories: math.OC
Related articles: Most relevant | Search more
arXiv:2406.09786 [math.OC] (Published 2024-06-14)
Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems
arXiv:1804.05098 [math.OC] (Published 2018-04-13)
On the Differentiability of the Solution to Convex Optimization Problems
arXiv:2505.09030 [math.OC] (Published 2025-05-13)
Aging-Aware Battery Control via Convex Optimization