# Lipschitz modulus of linear and convex systems with the Hausdorff metric

**Authors:** Gerald Beer, Mar\'ia J. C\'anovas, Marco A. L\'opez, and Juan Parra

arXiv: 1907.02375 · 2019-07-05

## TL;DR

This paper investigates the Lipschitz stability of feasible sets in linear and convex systems using the Hausdorff metric, providing explicit formulas and extending previous Chebyshev-based results to a Hausdorff framework.

## Contribution

It introduces explicit formulas for the Lipschitz modulus of feasible set mappings in the Hausdorff metric and extends stability analysis from Chebyshev to Hausdorff perturbations for linear and convex systems.

## Key findings

- Explicit Lipschitz modulus formulas for linear systems under Hausdorff perturbations
- Extension of stability results from Chebyshev to Hausdorff metric
- New insights into convex system stability via linearization techniques

## Abstract

This paper analyzes the Lipschitz behavior of the feasible set in two parametric settings, associated with linear and convex systems in R^n. To start with, we deal with the parameter space of linear (finite/semi-infinite) systems identified with the corresponding sets of coefficient vectors, which are assumed to be closed subsets of R^(n+1). In this framework, where the Hausdorff distance is used to measure the size of perturbations, an explicit formula for computing the Lipschitz modulus of the feasible set mapping is provided. As direct antecedent, we appeal to its counterpart in the parameter space of all linear systems with a fixed index set, T, where the Chebyshev (pseudo) distance was considered to measure the perturbations. Indeed, the stability (and, particularly, Lipschitz properties) of linear systems in the Chebyshev framework has been widely analyzed in the literature. Here, through an appropriate indexation strategy, we take advantage of previous results to derive the new ones in the Hausdorff setting. In a second stage, the possibility of perturbing directly the set of coefficient vectors of a linear system allows us to provide new contributions on the Lipschitz behavior of convex systems via linearization techniques.

## Full text

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## References

14 references — full list in the complete paper: https://tomesphere.com/paper/1907.02375/full.md

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Source: https://tomesphere.com/paper/1907.02375