Averaging principle for second-order approximation of heterogeneous models with homogeneous models
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Updated: May 16, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Gadi Fibich1, Arieh Gavious, Eilon Solan
1School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel. fibich@tau.ac.il
Abstract:
Typically, models with a heterogeneous property are considerably harder to analyze than the corresponding homogeneous models, in which the heterogeneous property is replaced by its average value. In this study we show that any outcome of a heterogeneous model that satisfies the two properties of differentiability and symmetry is O(ε(2)) equivalent to the outcome of the corresponding homogeneous model, where ε is the level of heterogeneity. We then use this averaging principle to obtain new results in queuing theory, game theory (auctions), and social networks (marketing).
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