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arxiv: 2605.16718 · v1 · pith:JYZ7ML5Anew · submitted 2026-05-16 · 🧮 math.DS · math.PR

Regularity of Lyapunov exponents at one-point Lyapunov spectra: the semisimple case

Pith reviewed 2026-05-19 20:10 UTC · model grok-4.3

classification 🧮 math.DS math.PR
keywords Lyapunov exponentsWasserstein distancelog-Hölder continuitysemisimple measuresone-point spectrumrandom matrix productsdynamical systems
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The pith

Lyapunov exponents are pointwise log-Hölder continuous with respect to the Wasserstein distance at semisimple probability measures with one-point Lyapunov spectrum.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper looks at Lyapunov exponents viewed as functions of probability measures on the general linear group GL(d, R). It focuses on the special case of semisimple measures that have only a single Lyapunov exponent. The authors establish that these exponents vary in a pointwise log-Hölder continuous manner when the measures are compared using the Wasserstein distance. The argument proceeds by splitting the linear action into virtually conformal subspaces and then applying a Berry-Esseen estimate to the random walk on those subspaces. Such quantitative continuity would let one track how small changes in the driving measure affect long-term growth rates in linear random products.

Core claim

We study the regularity of Lyapunov exponents as functions on the space of compactly supported probability measures on GL(d,R). We prove that the Lyapunov exponents are pointwise log-Hölder continuous with respect to the Wasserstein distance, at semisimple probability measures with one-point Lyapunov spectrum. The proof relies on a decomposition of the action into virtually conformal subspaces and a Berry-Esseen type estimate for the random walk towards these subspaces.

What carries the argument

Decomposition of the linear action into virtually conformal subspaces combined with a Berry-Esseen estimate for the associated random walk.

If this is right

  • Small changes in the driving measure produce only controlled changes in the Lyapunov spectrum.
  • The result supplies a quantitative version of continuity for Lyapunov exponents in the semisimple one-point case.
  • Similar decomposition techniques may yield regularity statements for other classes of measures on matrix groups.
  • The log-Hölder modulus gives an explicit rate that can be used to bound approximation errors when measures are discretized.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Numerical sampling of nearby measures could then produce Lyapunov exponent estimates whose error is bounded by a logarithmic function of the sampling distance.
  • The same splitting into conformal subspaces might be tried on non-semisimple measures to test whether the one-point assumption can be relaxed.
  • Low-dimensional examples, such as 2-by-2 matrices, could be checked by direct computation to see the sharpness of the log-Hölder exponent.

Load-bearing premise

The probability measures admit a decomposition into virtually conformal subspaces for which a Berry-Esseen type estimate holds for the random walk.

What would settle it

A single explicit semisimple measure with one-point spectrum for which the top Lyapunov exponent changes faster than any log-Hölder modulus under a sequence of arbitrarily small Wasserstein perturbations would disprove the claim.

Figures

Figures reproduced from arXiv: 2605.16718 by Marcelo Viana, Yingjian Liu.

Figure 1
Figure 1. Figure 1: The standard simplex ∆2 partitioned into the neighbourhoods B1 , B2 , B3 around each axis, and the central region Bc r . 2. Analytical reduction (Section 4). Via Furstenberg’s formula and the Lipschitz continuity of the Markov operator, the difference |λ1(µ ′ ) − λ1(µ)| is translated into a convergence rate estimate for the µ ′ -stationary measure under the unperturbed operator Pµ. The integral is split in… view at source ↗
read the original abstract

We study the regularity of Lyapunov exponents as functions on the space of compactly supported probability measures on $\mathrm{GL}(d,\mathbb{R})$. We prove that the Lyapunov exponents are pointwise log-H\"older continuous with respect to the Wasserstein distance, at semisimple probability measures with one-point Lyapunov spectrum. The proof relies on a decomposition of the action into virtually conformal subspaces and a Berry-Esseen type estimate for the random walk towards these subspaces.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript proves that Lyapunov exponents, viewed as functions on the space of compactly supported probability measures on GL(d,R), are pointwise log-Hölder continuous with respect to the Wasserstein metric at semisimple measures possessing a one-point Lyapunov spectrum. The argument proceeds by decomposing the linear action into virtually conformal subspaces and controlling the random walk on those subspaces via a Berry-Esseen-type estimate.

Significance. If the uniformity of the Berry-Esseen constants can be established, the result supplies a concrete modulus of continuity for Lyapunov exponents at a natural class of measures, extending existing continuity statements in random dynamical systems and providing a quantitative tool for perturbation analysis near semisimple one-point spectra.

major comments (1)
  1. [Abstract and §3] Abstract and §3 (proof outline): the Berry-Esseen estimate for the projected random walk on the virtually conformal subspaces is invoked to obtain the log-Hölder modulus, yet no quantitative statement is given showing that the implicit constants (e.g., those depending on minimal expansion rates or spectral gaps) remain controlled under small Wasserstein perturbations of the driving measure. Without such uniformity, the claimed pointwise continuity at the semisimple point does not follow.
minor comments (2)
  1. [§2] The definition of 'virtually conformal subspaces' should be stated explicitly in §2 before the decomposition is used.
  2. [Abstract and §1] Notation for the Wasserstein distance and the one-point spectrum should be fixed consistently between the abstract and the main text.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading and for identifying the need to establish uniformity of constants in the Berry-Esseen estimates. This is a substantive point that strengthens the argument for pointwise continuity. We address it below and will revise the manuscript to incorporate the required quantitative control.

read point-by-point responses
  1. Referee: [Abstract and §3] Abstract and §3 (proof outline): the Berry-Esseen estimate for the projected random walk on the virtually conformal subspaces is invoked to obtain the log-Hölder modulus, yet no quantitative statement is given showing that the implicit constants (e.g., those depending on minimal expansion rates or spectral gaps) remain controlled under small Wasserstein perturbations of the driving measure. Without such uniformity, the claimed pointwise continuity at the semisimple point does not follow.

    Authors: We agree that a quantitative uniformity statement is necessary to pass from the fixed-measure Berry-Esseen estimate to the claimed pointwise log-Hölder continuity under Wasserstein perturbations. In the revised version we will insert a new lemma (placed after the proof outline in §3) establishing that the constants appearing in the Berry-Esseen bound—including those controlled by the minimal expansion rates on the virtually conformal subspaces and by the spectral gaps—depend continuously on the driving measure in the Wasserstein topology. The key observation is that semisimplicity together with the one-point Lyapunov spectrum at the reference measure μ₀ implies that, for all measures μ sufficiently close to μ₀, the Lyapunov exponents remain simple and the associated expansion rates stay uniformly bounded away from zero and infinity; these bounds are continuous in the Wasserstein distance because the top Lyapunov exponent is itself continuous at μ₀. Consequently the implicit constants remain bounded in a neighborhood of μ₀, yielding a uniform log-Hölder modulus and completing the proof of pointwise continuity. revision: yes

Circularity Check

0 steps flagged

Derivation self-contained via standard estimates; no reduction to inputs by construction

full rationale

The paper presents a direct proof that Lyapunov exponents are pointwise log-Hölder continuous at semisimple one-point measures, relying on a decomposition into virtually conformal subspaces followed by a Berry-Esseen estimate for the associated random walk. No quoted step equates a claimed continuity modulus to a fitted parameter, a self-citation chain, or a renamed input; the argument invokes external quantitative tools whose uniformity is asserted under the stated assumptions rather than derived tautologically from the target result. The central claim therefore retains independent content outside its own definitions.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The paper relies on background facts about Lyapunov exponents for random matrix products and on the existence of virtually conformal decompositions; no new free parameters or invented entities are introduced in the abstract.

axioms (2)
  • standard math Lyapunov exponents exist and are well-defined for compactly supported probability measures on GL(d,R)
    Invoked implicitly when treating the exponents as functions on the space of measures.
  • domain assumption Semisimple measures admit a decomposition into virtually conformal subspaces
    Central to the proof strategy stated in the abstract.

pith-pipeline@v0.9.0 · 5593 in / 1349 out tokens · 42641 ms · 2026-05-19T20:10:18.384081+00:00 · methodology

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