Sharp Lyapunov's inequality for the measurable sets with infinite measure, with generalization to the Grand Lebesgue spaces
E.Ostrovsky, L.Sirota

TL;DR
This paper generalizes Lyapunov's inequality to infinite measure spaces and Grand Lebesgue spaces, providing exact constants and potential applications in analysis, probability, and statistics.
Contribution
It extends classical inequalities to new functional spaces with explicit constants, broadening their applicability.
Findings
Extended Lyapunov inequality to infinite measure spaces
Derived exact constants for the inequalities
Potential applications in analysis and probability theory
Abstract
We extend the classical Lyapunov inequality on the measurable space with infinite measure and on the so-called Grand Lebesgue spaces (GLS). We find also the exact value for correspondent constant. Possible applications: Functional Analysis (for instance, interpolation of operators), Integral Equations, Probability Theory and Statistics (tail estimations for random variables) etc.
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 mathematical theories · Stability and Controllability of Differential Equations · Nonlinear Differential Equations Analysis
