Name: Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and its Applications) (en Inglés)
SKU: 62114449
Price: 54.12 USD
Availability: InStock
Author: Pierre Collet

portada Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and its Applications) (en Inglés)

Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and its Applications) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Pierre Collet

Idioma

Inglés

N° páginas

280

Encuadernación

Tapa Blanda

ISBN13

9783642428883

N° edición

2013th

Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and its Applications) (en Inglés)

Pierre Collet (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 108.24$ 54.12

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 54.12

Llega entre el 15 Sep y el 28 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Quasi-Stationary Distributions: Markov Chains, Diffusions and Dynamical Systems (Probability and its Applications) (en Inglés)"

Main concepts of quasi-stationary distributions (QSDs) for killed processes are the focus of the present volume. For diffusions, the killing is at the boundary and for dynamical systems there is a trap. The authors present the QSDs as the ones that allow describing the long-term behavior conditioned to not being killed. Studies in this research area started with Kolmogorov and Yaglom and in the last few decades have received a great deal of attention. The authors provide the exponential distribution property of the killing time for QSDs, present the more general result on their existence and study the process of trajectories that survive forever. For birth-and-death chains and diffusions, the existence of a single or a continuum of QSDs is described. They study the convergence to the extremal QSD and give the classification of the survival process. In this monograph, the authors discuss Gibbs QSDs for symbolic systems and absolutely continuous QSDs for repellers. The findings described are relevant to researchers in the fields of Markov chains, diffusions, potential theory, dynamical systems, and in areas where extinction is a central concept. The theory is illustrated with numerous examples. The volume uniquely presents the distribution behavior of individuals who survive in a decaying population for a very long time. It also provides the background for applications in mathematical ecology, statistical physics, computer sciences, and economics.