QUASILIMITING BEHAVIOR FOR ONE-DIMENSIONAL DIFFUSIONS WITH KILLING

成果类型:
Article
署名作者:
Kolb, Martin; Steinsaltz, David
署名单位:
University of Oxford
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/10-AOP623
发表日期:
2012
页码:
162-212
关键词:
quasi-stationary distributions markov-chains heat kernel large time EXISTENCE Operators survival THEOREM models
摘要:
This paper extends and clarifies results of Steinsaltz and Evans [Trans. Amer. Math. Soc. 359 (2007) 1285-1234], which found conditions for convergence of a killed one-dimensional diffusion conditioned on survival, to a quasistationary distribution whose density is given by the principal eigenfunction of the generator. Under the assumption that the limit of the killing at infinity differs from the principal eigenvalue we prove that convergence to quasistationarity occurs if and only if the principal eigenfunction is integrable. When the killing at infinity is larger than the principal eigenvalue, then the eigenfunction is always integrable. When the killing at infinity is smaller, the eigenfunction is integrable only when the unkilled process is recurrent; otherwise, the process conditioned on survival converges to 0 density on any bounded interval.