Ting Liu, Guohua Li, Hong Zhang, Xiangwen Huang, Xiaoxuan Wang, Xiaoyu Tang, Zeyu Tu
{"title":"Lévy walk with asymmetric walking times in complex environments","authors":"Ting Liu, Guohua Li, Hong Zhang, Xiangwen Huang, Xiaoxuan Wang, Xiaoyu Tang, Zeyu Tu","doi":"10.1016/j.physa.2025.130999","DOIUrl":null,"url":null,"abstract":"<div><div>The Lévy walk serves as an important model for superdiffusion and holds significant importance in biological motion research. This study addresses the anisotropic deviations observed in practical biological movements by proposing an asymmetric walking-time Lévy walk model based on diffusion direction, while systematically analyzing its dynamical behavior under linear potential fields. The spatiotemporal coupling challenge is resolved through the Hermite polynomial approximation method, enabling precise computation of key statistical quantities. Research findings demonstrate that in the absence of potential fields, both exponential and power-law distributed walking times exhibit ballistic diffusion, with the latter showing variance scaling affected by asymmetry <span><math><mrow><mtext>Var</mtext><mrow><mo>[</mo><mi>x</mi><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>]</mo></mrow><mo>∝</mo><msup><mrow><mi>t</mi></mrow><mrow><mn>2</mn><mo>−</mo><mrow><mo>|</mo><mi>α</mi><mo>|</mo></mrow></mrow></msup></mrow></math></span> (where <span><math><mrow><mi>α</mi><mo>=</mo><msub><mrow><mi>α</mi></mrow><mrow><mi>r</mi></mrow></msub><mo>−</mo><msub><mrow><mi>α</mi></mrow><mrow><mi>l</mi></mrow></msub></mrow></math></span> represents the difference in power-law exponents of asymmetric walking-time distributions), where the dynamics are governed collectively by initial velocity <span><math><msub><mrow><mi>v</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span>, jumping probability <span><math><mi>γ</mi></math></span>, and asymmetric time parameters. When subjected to a linear potential field, exponential walking times maintain the <span><math><msup><mrow><mi>t</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> scaling of ballistic diffusion, while power-law distributions enhance to superdiffusive behavior with <span><math><mrow><mrow><mo>〈</mo><msup><mrow><mi>x</mi></mrow><mrow><mn>2</mn></mrow></msup><mrow><mo>(</mo><mi>t</mi><mo>)</mo></mrow><mo>〉</mo></mrow><mo>∝</mo><msup><mrow><mi>t</mi></mrow><mrow><mn>4</mn></mrow></msup></mrow></math></span>, though the dominant variance term depends on <span><math><mrow><mo>min</mo><mrow><mo>(</mo><msub><mrow><mi>α</mi></mrow><mrow><mi>r</mi></mrow></msub><mo>,</mo><msub><mrow><mi>α</mi></mrow><mrow><mi>l</mi></mrow></msub><mo>)</mo></mrow></mrow></math></span>, with the dynamics jointly controlled by acceleration and asymmetric time parameters. This research provides theoretical foundations for designing random walk models with specific transport properties, offering substantial value for both biological motion mechanism studies and engineering applications.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"679 ","pages":"Article 130999"},"PeriodicalIF":3.1000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S037843712500651X","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The Lévy walk serves as an important model for superdiffusion and holds significant importance in biological motion research. This study addresses the anisotropic deviations observed in practical biological movements by proposing an asymmetric walking-time Lévy walk model based on diffusion direction, while systematically analyzing its dynamical behavior under linear potential fields. The spatiotemporal coupling challenge is resolved through the Hermite polynomial approximation method, enabling precise computation of key statistical quantities. Research findings demonstrate that in the absence of potential fields, both exponential and power-law distributed walking times exhibit ballistic diffusion, with the latter showing variance scaling affected by asymmetry (where represents the difference in power-law exponents of asymmetric walking-time distributions), where the dynamics are governed collectively by initial velocity , jumping probability , and asymmetric time parameters. When subjected to a linear potential field, exponential walking times maintain the scaling of ballistic diffusion, while power-law distributions enhance to superdiffusive behavior with , though the dominant variance term depends on , with the dynamics jointly controlled by acceleration and asymmetric time parameters. This research provides theoretical foundations for designing random walk models with specific transport properties, offering substantial value for both biological motion mechanism studies and engineering applications.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.