Markov chains are the first and most important examples of random processes. This book is about time-homogeneous Markov chains that evolve with discrete time steps on a countable state space. Measure theory is not avoided, careful and complete proofs are provided. A specific fea…
Geometry of random motion: proceedings of the AMS-IMS-SIAM Joint Summer Rese…
by Durrett, Richard, Institute of Mathematical Sciences (New York, N.Y.), Society for Industrial and Applied Mathematics (U.S.), AMS-IMS-SIAM Joint Summer Research Conference in the Mathematical Sciences, American Mathematical Society, Geometry of Random Motion
Research Conference in the Mathematical Sciences on Geometry of Random Motion <1987, Ithaca, NY>: the AMS-IMS-SIAM Joint Summer Research Conference…
by Durrett, Richard, Joint Summer Research Conference in the Mathematical Sciences on Geometry of Random Motion (1987, Ithaca, NY), Research Conference in the Mathematical Sciences on Geometry of Random Motion (1987, Ithaca, NY)
Geometry of random motion: proceedings of the AMS-IMS-SIAM Joint Summer Rese…
by Durrett, Richard, Pinsky, Mark A., AMS-IMS-SIAM Joint Summer Research Conference in the Mathematical Sciences on Geometry of Random Motion, Cornell University), American Mathematical Society, Institute of Mathematical Statistics, Society for Industrial and Applied Mathematics
fromContemporary mathematics (American Mathematical Society)
A central object of this book is the discrete Laplace operator on finite and infinite graphs. The eigenvalues of the discrete Laplace operator have long been used in graph theory as a convenient tool for understanding the structure of complex graphs. They can also be used in ord…
A central object of this book is the discrete Laplace operator on finite and infinite graphs. The eigenvalues of the discrete Laplace operator have long been used in graph theory as a convenient tool for understanding the structure of complex graphs. They can also be used in ord…