Strong Markov property of determinantal processes with extended kernels
DOI10.1016/j.spa.2015.08.003zbMath1333.60208arXiv1412.8678OpenAlexW2099780989MaRDI QIDQ898405
Hideki Tanemura, Hirofumi Osada
Publication date: 8 December 2015
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1412.8678
stochastic differential equationsentire functionsdiffusion processesrandom matrix theorystrong Markov propertydeterminantal processesinfinite particle systemscorrelation kernels
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Interacting particle systems in time-dependent statistical mechanics (82C22) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Markov semigroups and applications to diffusion processes (47D07) Diffusion processes (60J60) Zeros of polynomials, rational functions, and other analytic functions of one complex variable (e.g., zeros of functions with bounded Dirichlet integral) (30C15) Random matrices (algebraic aspects) (15B52) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (13)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Infinite dimensional stochastic differential equations for Dyson's model
- Determinantal martingales and noncolliding diffusion processes
- Infinite-dimensional stochastic differential equations related to Bessel random point fields
- Noncolliding squared Bessel processes
- Infinite-dimensional stochastic differential equations related to random matrices
- Complex Brownian motion representation of the Dyson model
- Infinite-dimensional stochastic differential equations and tail \(\sigma\)-fields
- Zeros of Airy function and relaxation process
- Introduction to the theory of (non-symmetric) Dirichlet forms
- Scale invariance of the PNG droplet and the Airy process
- Discrete polynuclear growth and determinantal processes
- Random point fields associated with certain Fredholm determinants. I: Fermion, Poisson and Boson point processes.
- Discrete approximations of determinantal point processes on continuous spaces: tree representations and tail triviality
- Dirichlet form approach to infinite-dimensional Wiener processes with singular interactions
- Interacting Brownian motions in infinite dimensions with logarithmic interaction potentials. II: Airy random point field
- Interacting Brownian motions in infinite dimensions with logarithmic interaction potentials
- Cores of Dirichlet forms related to random matrix theory
- Noncolliding Brownian motion and determinantal processes
- Determinantal random point fields
- Markov property of determinantal processes with extended sine, Airy, and Bessel kernels
- Non-collision and collision properties of Dyson's model in infinite dimension and other stochastic dynamics whose equilibrium states are determinantal random point fields
- An Introduction to Random Matrices
- A Brownian-Motion Model for the Eigenvalues of a Random Matrix
- Tagged particle processes and their non-explosion criteria
This page was built for publication: Strong Markov property of determinantal processes with extended kernels