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arXiv 2502.03372cond-mat.stat-mechcond-mat.softphysics.bio-ph
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Active Coagulation Model 中的波前传播

Wave front propagation in the Active Coagulation Model

Matteo Paoluzzi

AI总结:

本文研究了游走-翻滚动力学与聚集/解聚反应耦合的活性系统中的吸收态相变和波前传播,发现活性运动与扩散动力学的竞争导致长寿命电流和波前传播从行波到扩散波的定性变化,并揭示了不同大时间尺度下的斑图形成机制。

摘要:

在活性动力学之上的扩散过程为捕捉生命系统中的涌现集体行为提供了新的理论框架。我考虑了与聚集/解聚反应耦合的游走-翻滚动力学,该反应导致了吸收态相变。虽然活性动力学不改变相变点的位置,但向稳态的弛豫依赖于运动性参数。由于扩散动力学与活性运动之间的竞争,系统可以支持长寿命的电流,其典型时间尺度是运动性和反应速率的非平凡函数。由于这种时间尺度之间的相互作用,波前传播从行波到扩散波发生了定性变化。超越平均场区域,有限长度尺度的不稳定性调节了从周期模式到扩散模式的交叉。最后,可以在大时间尺度上区分出不同的斑图形成机制,范围从 Fisher-Kolmogorov 到 Kardar-Parisi-Zhang 方程。

英文摘要:

Spreading processes on top of active dynamics provide a novel theoretical framework for capturing emerging collective behavior in living systems. I consider run-and-tumble dynamics coupled with coagulation/decoagulation reactions that lead to an absorbing state phase transition. While the active dynamics does not change the location of the transition point, the relaxation toward the stationary state depends on motility parameters. Because of the competition between spreading dynamics and active motion, the system can support long-living currents whose typical time scale is a nontrivial function of motility and reaction rates. Because of this interplay between time-scales, the wave front propagation qualitatively changes from traveling to diffusive waves. Moving beyond the mean-field regime, instability at finite length scales regulates a crossover from periodic to diffusive modes. Finally, it is possible to individuate different mechanisms of pattern formation on a large time scale, ranging from the Fisher-Kolmogorov to the Kardar-Parisi-Zhang equation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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