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Related papers: Fluctuations of $\beta$-Jacobi Product Processes

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Let $\Lambda=\{\Lambda_0,\Lambda_1,\Lambda_2,\ldots\}$ be the point process that describes the edge scaling limit of either (i) "regular" beta-ensembles with inverse temperature $\beta>0$, or (ii) the top eigenvalues of Wishart or Gaussian…

Probability · Mathematics 2025-12-10 Pierre Yves Gaudreau Lamarre

We study the correlations of the celebrated Sine$_\beta$ point process. This point process arises as the bulk scaling limit of $\beta$-ensembles and has a geometric description through the Brownian carousel, as shown by Valk\'o and Vir\'ag…

Probability · Mathematics 2026-03-17 Laure Dumaz , Martin Malvy

This work focuses on time-inhomogeneous Markov chains with two time scales. Our motivations stem from applications in reliability and dependability, queueing networks, financial engineering and manufacturing systems, where two-time-scale…

Probability · Mathematics 2007-05-23 George Yin , Hanqin Zhang

Previous works have considered the leading correction term to the scaled limit of various correlation functions and distributions for classical random matrix ensembles and their $\beta$ generalisations at the hard and soft edge. It has been…

Mathematical Physics · Physics 2020-09-01 Peter J. Forrester , Shi-Hao Li , Allan K. Trinh

Our current understanding of fluctuations of dynamical (time-integrated) observables in non- Markovian processes is still very limited. A major obstacle is the lack of an appropriate theoretical framework to evaluate the associated large…

Statistical Mechanics · Physics 2025-02-11 M. L. Rosinberg , G. Tarjus , T. Munakata

We show that for $\beta \ge 1$ the semigroups of $\beta$-Laguerre and $\beta$-Jacobi processes of different dimensions are intertwined in analogy to a similar result for $\beta$-Dyson Brownian motion recently obtained by Ramanan and…

Probability · Mathematics 2019-02-15 Theodoros Assiotis

We introduce and study a class of discrete particle ensembles that naturally arise in connection with classical random matrix ensembles, log-gases and Jack polynomials. Under technical assumptions on a general analytic potential we prove…

Probability · Mathematics 2022-07-20 Evgeni Dimitrov , Alisa Knizel

In a high temperature regime, it was shown in Trinh--Trinh (\emph{J.\ Stat.\ Phys.}\ \textbf{185}(1), Paper No.\ 4, 15 (2021)) that the empirical distribution of beta Jacobi ensembles converges to a limiting probability measure which is…

Probability · Mathematics 2023-05-23 Fumihiko Nakano , Hoang Dung Trinh , Khanh Duy Trinh

We develop a new methodology for the fluctuation theory of continuous-time skip-free Markov chains, extending the recent work of Choi and Patie [5] for discrete-time skip-free Markov chains. As the main application we use it to derive a…

Probability · Mathematics 2022-08-31 R. Loeffen , P. Patie , J. Wang

We study the real eigenvalue statistics of products of independent real Ginibre random matrices. These are matrices all of whose entries are real i.i.d. standard Gaussian random variables. For such product ensembles, we demonstrate the…

Probability · Mathematics 2021-09-02 Will FitzGerald , Nick Simm

Consider the $n \times n$ reverse circulant $RC_n(t)$ and symmetric circulant $SC_n(t)$ matrices with independent Brownian motion entries. We discuss the process convergence of the time dependent fluctuations of linear eigenvalue statistics…

Probability · Mathematics 2024-06-19 Arup Bose , Shambhu Nath Maurya , Koushik Saha

We give rigorous analytical results on the temporal behavior of two-point correlation functions --also known as dynamical response functions or Green's functions-- in closed many-body quantum systems. We show that in a large class of…

Quantum Physics · Physics 2020-03-20 Álvaro M. Alhambra , Jonathon Riddell , Luis Pedro García-Pintos

We study the symmetry of large deviation functions associated with time-integrated currents in Markov pure jump processes. One current known to have this symmetry is the fluctuating entropy production and this is the content of the…

Statistical Mechanics · Physics 2012-12-03 A. C. Barato , R. Chetrite

We show for Markov diffusion processes that the quadratic entropic bound, recently derived for the rate functions of nonequilibrium currents, can be seen as being produced by an effective process that creates current fluctuations in a…

Statistical Mechanics · Physics 2023-03-30 Cesare Nardini , Hugo Touchette

We study a hierarchy of directed percolation (DP) processes for particle species A, B, ..., unidirectionally coupled via the reactions A -> B, ... When the DP critical points at all levels coincide, multicritical behavior emerges, with…

Statistical Mechanics · Physics 2009-10-30 Uwe C. Täuber , Martin J. Howard , Haye Hinrichsen

Using a Coulomb gas approach, we compute the generating function of the covariances of power traces for one-cut $\beta$-ensembles of random matrices in the limit of large matrix size. This formula depends only on the support of the spectral…

Mathematical Physics · Physics 2015-07-23 Fabio Deelan Cunden , Francesco Mezzadri , Pierpaolo Vivo

When two Markov operators commute, it suggests that we can couple two copies of one of the corresponding processes. We explicitly construct a number of couplings of this type for a commuting family of Markov processes on the set of…

Probability · Mathematics 2008-11-20 Anthony P. Metcalfe , Neil O'Connell , Jon Warren

We study large time behavior of critical marked Hawkes processes and related branching particle systems. In case of marked Hawkes processes we assume that the kernel function has multiplicative form and the marks corresponding to the events…

Probability · Mathematics 2026-05-05 Anna Talarczyk

We prove that the two-dimensional Gaussian Free Field describes the asymptotics of global fluctuations of a multilevel extension of the general beta Jacobi random matrix ensembles. Our approach is based on the connection of the Jacobi…

Probability · Mathematics 2017-04-14 Alexei Borodin , Vadim Gorin

In this work, we consider a finite-state inhomogeneous-time Markov chain whose probabilities of transition from one state to another tend to decrease over time. This can be seen as a cooling of the dynamics of an underlying Markov chain. We…

Probability · Mathematics 2017-05-08 Florian Bouguet , Bertrand Cloez