Local limit theorem for random walks on symmetric spaces

Abstract We reduce the local limit theorem for a non-compact semisimple Lie group acting on its symmetric space to establishing that a natural operator associated to the measure is quasicompact. Under strong Diophantine assumptions on the underlying measure, we deduce the necessary spectral results for the operator in question. We thereby give the first examples of finitely supported measures satisfying such a local limit theorem. Moreover, quantitative error rates for the local limit theorem are proved under additional assumptions.

Authors

Institutions

Publication Details

Journal
Journal d Analyse Mathématique
Published
2025-03-24
DOI
https://doi.org/10.1007/s11854-025-0369-0
Citations
1
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
3.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Local limit theorem for random walks on symmetric spaces

Constantin Kogler
1 citations
Journal d Analyse Mathématique
Stochastic processes and statistical mechanics
3.69
article

Local limit theorem for random walks on symmetric spaces

Constantin Kogler
article en
1 citations

Abstract

Abstract We reduce the local limit theorem for a non-compact semisimple Lie group acting on its symmetric space to establishing that a natural operator associated to the measure is quasicompact. Under strong Diophantine assumptions on the underlying measure, we deduce the necessary spectral results for the operator in question. We thereby give the first examples of finitely supported measures satisfying such a local limit theorem. Moreover, quantitative error rates for the local limit theorem are proved under additional assumptions.

Journal d Analyse MathématiqueVol. 155(2)
University of Oxford (GB)
Openalex Percentile: Top 12%
Stochastic processes and statistical mechanics
3.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.