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Matrix Whittaker processes

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Matrix Whittaker processes. / Arista, Jonas; Bisi, Elia; O’Connell, Neil.
In: Probability Theory and Related Fields, Vol. 187, No. 1-2, 31.10.2023, p. 203-257.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Arista, J, Bisi, E & O’Connell, N 2023, 'Matrix Whittaker processes', Probability Theory and Related Fields, vol. 187, no. 1-2, pp. 203-257. https://doi.org/10.1007/s00440-023-01210-y

APA

Arista, J., Bisi, E., & O’Connell, N. (2023). Matrix Whittaker processes. Probability Theory and Related Fields, 187(1-2), 203-257. https://doi.org/10.1007/s00440-023-01210-y

Vancouver

Arista J, Bisi E, O’Connell N. Matrix Whittaker processes. Probability Theory and Related Fields. 2023 Oct 31;187(1-2):203-257. Epub 2023 May 14. doi: 10.1007/s00440-023-01210-y

Author

Arista, Jonas ; Bisi, Elia ; O’Connell, Neil. / Matrix Whittaker processes. In: Probability Theory and Related Fields. 2023 ; Vol. 187, No. 1-2. pp. 203-257.

Bibtex

@article{e2fa5eec979145de8213c6277771a77d,
title = "Matrix Whittaker processes",
abstract = "We study a discrete-time Markov process on triangular arrays of matrices of size d ≥ 1 , driven by inverse Wishart random matrices. The components of the right edge evolve as multiplicative random walks on positive definite matrices with one-sided interactions and can be viewed as a d-dimensional generalisation of log-gamma polymer partition functions. We establish intertwining relations to prove that, for suitable initial configurations of the triangular process, the bottom edge has an autonomous Markovian evolution with an explicit transition kernel. We then show that, for a special singular initial configuration, the fixed-time law of the bottom edge is a matrix Whittaker measure, which we define. To achieve this, we perform a Laplace approximation that requires solving a constrained minimisation problem for certain energy functions of matrix arguments on directed graphs. ",
author = "Jonas Arista and Elia Bisi and Neil O{\textquoteright}Connell",
year = "2023",
month = oct,
day = "31",
doi = "10.1007/s00440-023-01210-y",
language = "English",
volume = "187",
pages = "203--257",
journal = "Probability Theory and Related Fields",
issn = "0178-8051",
publisher = "Springer New York",
number = "1-2",

}

RIS

TY - JOUR

T1 - Matrix Whittaker processes

AU - Arista, Jonas

AU - Bisi, Elia

AU - O’Connell, Neil

PY - 2023/10/31

Y1 - 2023/10/31

N2 - We study a discrete-time Markov process on triangular arrays of matrices of size d ≥ 1 , driven by inverse Wishart random matrices. The components of the right edge evolve as multiplicative random walks on positive definite matrices with one-sided interactions and can be viewed as a d-dimensional generalisation of log-gamma polymer partition functions. We establish intertwining relations to prove that, for suitable initial configurations of the triangular process, the bottom edge has an autonomous Markovian evolution with an explicit transition kernel. We then show that, for a special singular initial configuration, the fixed-time law of the bottom edge is a matrix Whittaker measure, which we define. To achieve this, we perform a Laplace approximation that requires solving a constrained minimisation problem for certain energy functions of matrix arguments on directed graphs.

AB - We study a discrete-time Markov process on triangular arrays of matrices of size d ≥ 1 , driven by inverse Wishart random matrices. The components of the right edge evolve as multiplicative random walks on positive definite matrices with one-sided interactions and can be viewed as a d-dimensional generalisation of log-gamma polymer partition functions. We establish intertwining relations to prove that, for suitable initial configurations of the triangular process, the bottom edge has an autonomous Markovian evolution with an explicit transition kernel. We then show that, for a special singular initial configuration, the fixed-time law of the bottom edge is a matrix Whittaker measure, which we define. To achieve this, we perform a Laplace approximation that requires solving a constrained minimisation problem for certain energy functions of matrix arguments on directed graphs.

U2 - 10.1007/s00440-023-01210-y

DO - 10.1007/s00440-023-01210-y

M3 - Journal article

C2 - 37655049

VL - 187

SP - 203

EP - 257

JO - Probability Theory and Related Fields

JF - Probability Theory and Related Fields

SN - 0178-8051

IS - 1-2

ER -