Generalized matrix coefficients of Unitary Representations
Hongyu He

TL;DR
This paper introduces a framework for generalized matrix coefficients in unitary Lie group representations, focusing on distribution vectors and their computation, filling gaps in existing literature.
Contribution
It provides a comprehensive definition and computational approach for matrix coefficients associated with distribution vectors, which was previously not well-documented.
Findings
Defines matrix coefficients for distribution vectors
Provides methods to compute these coefficients
Clarifies the theoretical foundation for generalized matrix coefficients
Abstract
This is an introductory note concerning the distribution vectors in a unitary representation of a Lie group. We discuss the definition of matrix coefficients associated with a pair of distributions and how one can compute them. Most of the results are known to some expert, but missing in the literature.
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
