Lectures on the mean values of functionals -- An elementary introduction to infinite-dimensional probability
Cheng-shi Liu

TL;DR
This paper provides an elementary introduction to infinite-dimensional probability, demonstrating how certain functionals on spaces like C[0,1] and L[0,1] have exact mean values with zero variance, illustrating the concentration of measure phenomenon.
Contribution
It introduces the computation of exact mean values of functionals in infinite-dimensional spaces and highlights the measure concentration phenomenon through zero variance results.
Findings
Exact mean values of functionals on C[0,1] and L[0,1]
Zero variance indicates measure concentration
Illustrates fundamental concepts in infinite-dimensional probability
Abstract
This is an elementary introduction to infinite-dimensional probability. In the lectures, we compute the exact mean values of some functionals on C[0,1] and L[0,1] by considering these functionals as infinite-dimensional random variables. The results show that there exist the complete concentration of measure phenomenon for these mean values since the variances are all zeroes.
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
TopicsStatistical Mechanics and Entropy · advanced mathematical theories · Probability and Statistical Research
