Simplification of the majorizing measures method, with development
E.Ostrovsky, L.Sirota

TL;DR
This paper refines the majorizing measures method for analyzing local structures of random fields, simplifying the approach and improving constant values through generalizations of existing inequalities.
Contribution
It introduces a simplified version of the majorizing measures method with enhanced constants, building on generalized inequalities for better analysis of random fields.
Findings
Simplified the majorizing measures method.
Improved constant values in the analysis.
Extended the method using generalized inequalities.
Abstract
We update, specify, review and develop in this article the classical majorizing measures method for investigation of the local structure of random fields, belonging to X.Fernique and M.Talagrand in order to simplify and improve the constant values. Our considerations based on the generalization of the L.Arnold and P.Imkeller generalization of classical Garsia-Rodemich-Rumsey inequality.
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Taxonomy
TopicsPoint processes and geometric inequalities · Analytic Number Theory Research · Mathematical Dynamics and Fractals
