Equality of Hölder exponents for distribution functions of Gibbs measures

Abstract Pointwise Hölder exponents describe the degree of regularity of a function near a point. For a function f : R → R , a number α > 0 and a point t 0 ∈ R , write f ∈ C α ( t 0 ) if there exist a constant C > 0 , a number h > 0 and a polynomial P of degree less than α such that | f ( t ) − P ( t − t 0 ) | ⩽ C | t − t 0 | α for all t ∈ ( t 0 − h , t 0 + h ) . The pointwise Hölder exponent of f at t 0

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Journal
Nonlinearity
Published
2026-09-18
DOI
https://doi.org/10.1088/1361-6544/ae9ddb
Primary Topic
Bayesian Methods and Mixture Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Equality of Hölder exponents for distribution functions of Gibbs measures

Pieter C. Allaart, Johannes Jaerisch
Nonlinearity
Bayesian Methods and Mixture Models
article

Equality of Hölder exponents for distribution functions of Gibbs measures

Pieter C. Allaart, Johannes Jaerisch
article en

Abstract

Abstract Pointwise Hölder exponents describe the degree of regularity of a function near a point. For a function f : R → R , a number α > 0 and a point t 0 ∈ R , write f ∈ C α ( t 0 ) if there exist a constant C > 0 , a number h > 0 and a polynomial P of degree less than α such that | f ( t ) − P ( t − t 0 ) | ⩽ C | t − t 0 | α for all t ∈ ( t 0 − h , t 0 + h ) . The pointwise Hölder exponent of f at t 0

NonlinearityVol. 39(9)
University of North Texas (US), Nagoya University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 99%
Bayesian Methods and Mixture Models
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