The cut-and-paste process
classification
🧮 math.PR
keywords
matricesmeasureblocksboundedlycharacterizeclasscollectionconstants
read the original abstract
We characterize the class of exchangeable Feller processes evolving on partitions with boundedly many blocks. In continuous-time, the jump measure decomposes into two parts: a $\sigma$-finite measure on stochastic matrices and a collection of nonnegative real constants. This decomposition prompts a L\'evy-It\^o representation. In discrete-time, the evolution is described more simply by a product of independent, identically distributed random matrices.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.