On the mixed monotonicity of polynomial functions

Fuente: arXiv
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Main Author: Tahir, Adam M
Format: Preprint
Published: 2023
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author Tahir, Adam M
author_facet Tahir, Adam M
contents In this paper, it is shown that every polynomial function is mixed monotone globally with a polynomial decomposition function. For univariate polynomials, the decomposition functions can be constructed from the Gram matrix representation of polynomial functions. The tightness of polynomial decomposition functions is discussed. Several examples are provided. An example is provided to show that polynomial decomposition functions, in addition to being global decomposition functions, can be much tighter than local decomposition functions constructed using local Jacobian bounds. Furthermore, an example is provided to demonstrate the application to reachable set over-approximation.
format Preprint
id arxiv_https___arxiv_org_abs_2312_15517
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the mixed monotonicity of polynomial functions
Tahir, Adam M
Optimization and Control
Systems and Control
In this paper, it is shown that every polynomial function is mixed monotone globally with a polynomial decomposition function. For univariate polynomials, the decomposition functions can be constructed from the Gram matrix representation of polynomial functions. The tightness of polynomial decomposition functions is discussed. Several examples are provided. An example is provided to show that polynomial decomposition functions, in addition to being global decomposition functions, can be much tighter than local decomposition functions constructed using local Jacobian bounds. Furthermore, an example is provided to demonstrate the application to reachable set over-approximation.
title On the mixed monotonicity of polynomial functions
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2312.15517