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Journal of Logic and Analysis
Article . 2023 . Peer-reviewed
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Article . 2023
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https://dx.doi.org/10.48550/ar...
Article . 2022
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A computational study of a class of recursive inequalities

Authors: Neri, Morenikeji; Powell, Thomas;

A computational study of a class of recursive inequalities

Abstract

We examine the convergence properties of sequences of nonnegative real numbers that satisfy a particular class of recursive inequalities, from the perspective of proof theory and computability theory. We first establish a number of results concerning rates of convergence, setting out conditions under which computable rates are possible, and when not, providing corresponding rates of metastability. We then demonstrate how the aforementioned quantitative results can be applied to extract computational information from a range of proofs in nonlinear analysis. Here we provide both a new case study on subgradient algorithms, and give overviews of a selection of recent results which each involve an instance of our main recursive inequality. This paper contains the definitions of all relevant concepts from both proof theory and mathematical analysis, and as such, we hope that it is accessible to a general audience.

44 pages

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Keywords

Applications of functional analysis in optimization, convex analysis, mathematical programming, economics, subgradient methods, rates of convergence, Mathematics - Logic, Functionals in proof theory, Functional Analysis (math.FA), Mathematics - Functional Analysis, Applications of computability and recursion theory, proof mining, Optimization and Control (math.OC), Convergence and divergence of series and sequences, FOS: Mathematics, recursive inequalities, Logic (math.LO), Mathematics - Optimization and Control, Fixed-point iterations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold