Evidence map›Paper›PMID 40724474›Full record

ArticleEntropy (Basel, Switzerland)2025

Random Search Walks Inside Absorbing Annuli.

Anderson S Bibiano-Filho, Jandson F O de Freitas, Marcos G E da Luz, Gandhimohan M Viswanathan, Ernesto P Raposo

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anderson S Bibiano-FilhoLaboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil.ORCID 0009-0004-5842-548X
Jandson F O de FreitasDepartamento de Física, Universidade Federal de Viçosa, Viçosa 36570-900, MG, Brazil.ORCID 0009-0008-4006-5569
Marcos G E da LuzDepartamento de Física, Universidade Federal do Paraná, Curitiba 81531-980, PR, Brazil.ORCID 0000-0003-3865-2621
Gandhimohan M ViswanathanDepartment of Physics and National Institute of Science and Technology of Complex Systems, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.ORCID 0000-0002-2301-5593
Ernesto P RaposoLaboratório de Física Teórica e Computacional, Departamento de Física, Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil.ORCID 0000-0002-4178-8266

Funding

CNPq 307512/2023-1, 302414/2022-3, and 308840/2023-2facepe 000
6 · The paper itself

Abstract

We revisit the problem of random search walks in the two-dimensional (2D) space between concentric absorbing annuli, in which a searcher performs random steps until finding either the inner or the outer ring. By considering step lengths drawn from a power-law distribution, we obtain the exact analytical result for the search efficiency η in the ballistic limit, as well as an approximate expression for η in the regime of searches starting far away from both rings, and the scaling behavior of η for very small initial distances to the inner ring. Our numerical results show good overall agreement with the theoretical findings. We also analyze numerically the absorbing probabilities related to the encounter of the inner and outer rings and the associated Shannon entropy. The power-law exponent marking the crossing of such probabilities (equiprobability) and the maximum entropy condition grows logarithmically with the starting distance. Random search walks inside absorbing annuli are relevant, since they represent a mean-field approach to conventional random searches in 2D, which is still an open problem with important applications in various fields.

Indexed as

Lévy walksphysics of foragingrandom search

Identifiers

PMID40724474
PMCPMC12709222

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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.