Convolution of probability measures on Lie groups and homogenous spaces
Ming Liao

TL;DR
This paper investigates continuous convolution semigroups of probability measures on Lie groups and homogeneous spaces, extending existing results to include these spaces and characterizing their structure.
Contribution
It extends the theory of convolution semigroups to homogeneous spaces and provides a decomposition result for such semigroups on Lie groups and spaces.
Findings
Convolution semigroups can be decomposed into initial measure and a continuous semigroup.
Extension of Dani-McCrudden's embedding result to homogeneous spaces.
Characterization of convolution semigroups on Lie groups and homogeneous spaces.
Abstract
We study (weakly) continuous convolution semigroups of probability measures on a Lie group G or a homogeneous space G/K, where K is a compact subgroup. We show that such a convolution semigroup is the convolution product of its initial measure and a continuous convolution semigroup with initial measure at the identity of G or the origin of G/K. We will also obtain an extension of Dani-McCrudden's result on embedding an infinitely divisible probability measure in a continuous convolution semigroup on a Lie group to a homogeneous space.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Algebra and Geometry · Geometry and complex manifolds · Mathematical Analysis and Transform Methods
