Symmetric Markov Processes
Symmetric Markov Processes
复制标题
DOI:
10.1007/bfb0073683
复制
发表时间:
1975-01
影响因子:
0.9
通讯作者:
M. Silverstein
中科院分区:
文献类型:
--
作者:
M. Silverstein
Some general theory is developed in Chapter I. A decomposition of the Dirichlet form into" killing"," jumping" and" diffusion" is accomplished in Chapter II. Examples are discussed in Chapter IV. Each chapter is prefaced by a short summary. The main prerequisite is familiarity with the theory of martingales as developed by PA Meyer and his school. Little is needed from the theory of Markov processes as such, except from the point of view of motivation.