Completely monotone functions - a digest
Milan Merkle

TL;DR
This paper compiles and discusses lesser-known facts about completely monotone functions, emphasizing their Laplace transform representation and connection to log-convexity, with examples involving Gamma functions.
Contribution
It provides a curated collection of facts and methods for identifying and analyzing completely monotone functions, highlighting lesser-known properties and connections.
Findings
Representation of CM functions as Laplace transforms
Connection between CM functions and log-convexity
Examples involving Gamma functions
Abstract
This work has a purpose to collect selected facts about the completely monotone (CM) functions that can be found in books and papers devoted to different areas of mathematics. We opted for lesser known ones, and for those which may help determining whether or not a given function is completely monotone. In particular, we emphasize the role of representation of a CM function as the Laplace transform of a measure, and we present and discuss a little known connection with log-convexity. Some of presented methods are illustrated by several examples involving Gamma and related functions.
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
TopicsMathematical Inequalities and Applications · Functional Equations Stability Results · Mathematical and Theoretical Analysis
