The positive semi-definite cone and sum-of-squares cone of Hankel form
Zhongming Chen, Liqun Qi

TL;DR
This paper investigates the geometric properties of Hankel form cones, specifically the positive semi-definite and sum-of-squares cones, revealing their convexity, dual structures, and implications for the Hilbert-Hankel problem.
Contribution
It characterizes the convexity and dual cones of Hankel form PSD and SOS cones, providing explicit dual formulations and advancing understanding of their geometric structure.
Findings
Both $HPSD(m,n)$ and $HSOS(m,n)$ are closed convex cones.
The dual cone of $HPSD(m,n)$ is the convex hull of all $m$-times convolutions of real vectors.
The dual cone of $HSOS(m,n)$ can be explicitly written, aiding further research.
Abstract
In this paper, the geometry properties of Hankel form are studied, including their positive semi-definite (PSD) cone and sum-of-squares (SOS) cone. We denote them by and , respectively. We show that both and are closed convex cones. The dual cone of is the convex hull of all -times convolutions of real vectors. Besides, we derive the dual cone of SOS tensors. By reformulation, it follows that the dual cone of can also be written explicitly. These results may lead further research on the Hilbert-Hankel problem.
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Taxonomy
TopicsTensor decomposition and applications · Matrix Theory and Algorithms · Elasticity and Material Modeling
