Local limits in p$p$‐adic random matrix theory

Abstract We study the distribution of singular numbers of products of certain classes of ‐adic random matrices, as both the matrix size and number of products go to simultaneously. In this limit, we prove convergence of the local statistics to a new random point configuration on , defined explicitly in terms of certain intricate mixed ‐series/exponential sums. This object may be viewed as a nontrivial ‐adic analogue of the interpolating distributions of Akemann–Burda–Kieburg, which generalize the sine and Airy kernels and govern limits of complex matrix products. Our proof uses new Macdonald process computations and holds for matrices with iid additive Haar entries, corners of Haar matrices from , and the ‐adic analogue of Dyson Brownian motion studied by the author ( https://arxiv.org/pdf/2309.02865 ).

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Publication Details

Journal
Proceedings of the London Mathematical Society
Published
2024-08-21
DOI
https://doi.org/10.1112/plms.12626
Citations
5
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
3.55

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article

Local limits in p$p$‐adic random matrix theory

Roger Van Peski
5 citations
Proceedings of the London Mathematical Society
Random Matrices and Applications
3.55
article

Local limits in p$p$‐adic random matrix theory

Roger Van Peski
article en
5 citations

Abstract

Abstract We study the distribution of singular numbers of products of certain classes of ‐adic random matrices, as both the matrix size and number of products go to simultaneously. In this limit, we prove convergence of the local statistics to a new random point configuration on , defined explicitly in terms of certain intricate mixed ‐series/exponential sums. This object may be viewed as a nontrivial ‐adic analogue of the interpolating distributions of Akemann–Burda–Kieburg, which generalize the sine and Airy kernels and govern limits of complex matrix products. Our proof uses new Macdonald process computations and holds for matrices with iid additive Haar entries, corners of Haar matrices from , and the ‐adic analogue of Dyson Brownian motion studied by the author ( https://arxiv.org/pdf/2309.02865 ).

Proceedings of the London Mathematical SocietyVol. 129(3)
KTH Royal Institute of Technology (SE)
National Science Foundation, European Research Council
Openalex Percentile: Top 7%
Random Matrices and Applications
3.55
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