The asymptotic stability of stochastic kernel operators

The asymptotic stability of stochastic kernel operators

Show other versions (1)

A stochastic operator is a positive linear contraction, P : L1 --+ L1, such that llPfII2 = llfll1 for f > 0. It is called asymptotically stable if the iterates pn f of each density converge in the norm to a fixed density. Pf(x) = f K(x,y)f(y)dy, where K( ·, y) is a density, defines a stoch...

Full description

Bibliographic Details
Main Author: Brown, Thomas John
Other Authors: Bartoszek, W. K.
Format: Others
Language:en
Published: 2015
Subjects:
Markov operator
Stochastic operator
Asymptotic stability
Ergodic theory
Biological models
Cell cycle models
Kernel operations
Doubly stochastic operators
Harris operators
Stochastic process
515.7246
Kernel functions
Operator equations > Asymptotic theory
Cell cycle
Stochastic processes
Random operators
Online Access:Brown, Thomas John (1997) The asymptotic stability of stochastic kernel operators, University of South Africa, Pretoria, <http://hdl.handle.net/10500/16068>
http://hdl.handle.net/10500/16068

Internet

Brown, Thomas John (1997) The asymptotic stability of stochastic kernel operators, University of South Africa, Pretoria, <http://hdl.handle.net/10500/16068>
http://hdl.handle.net/10500/16068

Similar Items