2023/02/04 by Małgorzata M. O’Reilly, O'Reilly, Małgorzata M., Zbigniew Palmowski +3
Mathematics · Physics and Astronomy · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Quantum chaos and dynamical systems #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.2302.02225
openalex publication_date 2023/02/04 · openalex created_date 2023/02/09 · openalex updated_date 2026/07/28
We consider a neighbourhood random walk on a quadrant, \(X1(t),X2(t),φ(t)):t≥ 0\, with state space Samp;=amp;\(n,m,i):n,m=0,1,2,…;i=1,2,…,k(n,m)\. Assuming start in state (n,m,i), the process spends exponentially distributed amount of time in (n,m,i) according to some parameter λi(n,m). Upon leaving state (n,m,i) the process moves to some state (n',m',j) with j∈\1,…,k(n',m')\ and n'∈\n-1,n,n+1\, m'∈\m-1,m,m+1\, according to some probabilities (pn;am;b)i,j with a,b∈\+,-,0\. We transform this process into a one-dimensional LD-QBD \(Z(t),χ(t)):t≥ 0\ with level variable Z(t) and phase variable χ(t). Using this transform we find its transient and stationary analysis using matrix-analytic methods, as well as the distribution at first hitting times.