This SpringerBriefs employs a novel approach to obtain the precise
asymptotic behavior at infinity of a large class of permanental
sequences related to birth and death processes and autoregressive
Gaussian sequences using techniques from the theory of Gaussian
processes and Markov chains.
The authors study alpha-permanental processes that are positive
infinitely divisible processes determined by the potential density of a
transient Markov process. When the Markov process is symmetric, a
1/2-permanental process is the square of a Gaussian process. Permanental
processes are related by the Dynkin isomorphism theorem to the total
accumulated local time of the Markov process when the potential density
is symmetric, and by a generalization of the Dynkin theorem by Eisenbaum
and Kaspi without requiring symmetry. Permanental processes are also
related to chi square processes and loop soups.
The book appeals to researchers and advanced graduate students
interested in stochastic processes, infinitely divisible processes and
Markov chains.