Decorrelation estimates for translated measures under diagonal flows

A profound link between homogeneous dynamics and Diophantine approximation is based on an observation that Diophantine properties of a real matrix $ B $ are encoded by the corresponding lattice $ \Lambda_B $ translated by a multi-parameter semigroup $ a(t) $. We establish quantitative decorrelation estimates for measures supported on leaves $ a(t)\Lambda_B $ with the error terms depending only on the minimum of the pairwise distances between the parameters. The proof involves a careful analysis of the translated measures in the products of the spaces of unimodular lattices and establishes quantitative equidistributions to measures supported on various intermediate homogeneous subspaces.

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Publication Details

Journal
Journal of Modern Dynamics
Published
2025-01-01
DOI
https://doi.org/10.3934/jmd.2025007
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Decorrelation estimates for translated measures under diagonal flows

Reynold Fregoli, Michael Björklund, Alexander Gorodnik
Journal of Modern Dynamics
Stochastic processes and financial applications
article

Decorrelation estimates for translated measures under diagonal flows

Reynold Fregoli, Michael Björklund, Alexander Gorodnik
article en

Abstract

A profound link between homogeneous dynamics and Diophantine approximation is based on an observation that Diophantine properties of a real matrix $ B $ are encoded by the corresponding lattice $ \Lambda_B $ translated by a multi-parameter semigroup $ a(t) $. We establish quantitative decorrelation estimates for measures supported on leaves $ a(t)\Lambda_B $ with the error terms depending only on the minimum of the pairwise distances between the parameters. The proof involves a careful analysis of the translated measures in the products of the spaces of unimodular lattices and establishes quantitative equidistributions to measures supported on various intermediate homogeneous subspaces.

Journal of Modern DynamicsVol. 21(0)
University of Zurich (CH), University of Michigan (US)
Openalex Percentile: Top 81%
Stochastic processes and financial applications
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