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arxiv: 2504.16532 · v3 · submitted 2025-04-23 · 🧮 math.DS

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Optimal linear response for Anosov diffeomorphisms

Gary Froyland, Maxence Phalempin

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classification 🧮 math.DS
keywords responseanosovapproachdeveloplinearnumericaloptimalperturbations
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It is well known that an Anosov diffeomorphism $T$ enjoys linear response of its SRB measure with respect to infinitesimal perturbations $\dot{T}$. For a fixed observation function $c$, we develop a theory to optimise the response of the SRB-expectation of $c$. Our approach is based on the response of the transfer operator on the anisotropic Banach spaces of Gou\"ezel--Liverani. We prove that the optimising perturbation $\dot{T}$ is unique for non-degenerate response functions and provide explicit expressions for the Fourier coefficients of $\dot{T}$. We develop an efficient Fourier-based numerical scheme to approximate the optimal vector field $\dot{T}$, along with a proof of convergence. The utility of our approach is illustrated in two numerical examples, by localising SRB measures with small, optimally selected, perturbations.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Fixed-point approximation for self-consistent transfer operators with Newton's method

    math.DS 2026-05 unverdicted novelty 6.0

    Nonlinear Fourier-Fejér discretization yields convergent finite-dimensional approximations to fixed points of self-consistent transfer operators, with Newton's method delivering quadratic convergence.