Evidence map›Paper›PMID 41800349›Full record

ArticleJournal of nonlinear science2026

Evolution Equations on Co-evolving Graphs: Long-Time Behaviour and the Graph-Continuity Equation.

José Antonio Carrillo, Antonio Esposito, László Mikolás

Abstract read
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Article in Journal of nonlinear science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

José Antonio CarrilloMathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG UK.
Antonio EspositoDepartment of Information Engineering, Computer Science and Mathematics, Università degli Studi dell'Aquila, Via Vetoio 1, Coppito, 67100 L'Aquila, Italy.
László MikolásMathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We focus on evolution equations on co-evolving infinite graphs and establish a rigorous link with a class of nonlinear continuity equations, whose vector fields depend on the graphs considered. More precisely, weak solutions of the so-called graph-continuity equation are shown to be the push-forward of their initial datum through the flow map solving the associated characteristics' equation, which depends on the co-evolving graph considered. This connection can be used to prove contractions in a suitable distance, although the flow on the graphs requires a too limiting assumption on the overall flux. Therefore, we consider upwinding dynamics on graphs with pointwise and monotonic velocity and prove long-time convergence of the solutions towards the uniform mass distribution.

Indexed as

Co-evolving graphsEvolution on graphsLong-time behaviourNonlocal equations

Identifiers

PMID41800349
PMCPMC12963218

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.