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On the contraction properties of a pseudo-Hilbert projective metric

Maxime Ligonnière

TL;DR

The paper introduces a bounded pseudo-Hilbert distance $d$ on the projective cone $\Pi(C)$ and analyzes the projective action of positive linear operators $M$ on $E$. It proves every positive operator is $1$-Lipschitz with respect to $d$, and shows strict contraction (i.e., $c(M)<1$) is equivalent to uniform positivity, with $c(M)=\psi(A^*(M))$ where $\psi(s)=(1-s^{-2})/(1+s^{-2})$ and $A^*(M)$ is the infimum of uniform positivity constants. The authors provide explicit criteria and formulas: in finite dimensions, contraction is governed by the zero-pattern of $M$ and an exact coefficient-based expression for $c(M)$; in the density/kernel setting, contraction reduces to uniform positivity bounds on the kernel $K(x,y)$, yielding $c(M_K)=\psi^{-1}(A^*)$. These results yield practical contraction criteria and underpin fixed-point and ergodicity analyses for semigroups of uniformly positive operators in both finite and infinite-dimensional contexts.

Abstract

In this note, we define a bounded variant on the Hilbert projective metric on an infinite dimensional space $E$ and study the contraction properties of the projective maps associated with positive linear operators on $E$. More precisely, we prove that any positive linear operator acts projectively as a $1$-Lipschitz map relatively to this distance. We also show that for a positive linear operator, strict projective contraction is equivalent to a property called uniform positivity.

On the contraction properties of a pseudo-Hilbert projective metric

TL;DR

The paper introduces a bounded pseudo-Hilbert distance on the projective cone and analyzes the projective action of positive linear operators on . It proves every positive operator is -Lipschitz with respect to , and shows strict contraction (i.e., ) is equivalent to uniform positivity, with where and is the infimum of uniform positivity constants. The authors provide explicit criteria and formulas: in finite dimensions, contraction is governed by the zero-pattern of and an exact coefficient-based expression for ; in the density/kernel setting, contraction reduces to uniform positivity bounds on the kernel , yielding . These results yield practical contraction criteria and underpin fixed-point and ergodicity analyses for semigroups of uniformly positive operators in both finite and infinite-dimensional contexts.

Abstract

In this note, we define a bounded variant on the Hilbert projective metric on an infinite dimensional space and study the contraction properties of the projective maps associated with positive linear operators on . More precisely, we prove that any positive linear operator acts projectively as a -Lipschitz map relatively to this distance. We also show that for a positive linear operator, strict projective contraction is equivalent to a property called uniform positivity.
Paper Structure (6 sections, 11 theorems, 59 equations)

This paper contains 6 sections, 11 theorems, 59 equations.

Key Result

Lemma 1

For any $f,g,h\in C$, any $\alpha,\beta>0$

Theorems & Definitions (21)

  • Lemma 1
  • proof
  • Proposition 2
  • proof
  • Remark 1
  • Proposition 3
  • proof
  • Proposition 4
  • Remark 2
  • proof
  • ...and 11 more