Comparing the roles of time overhead and spatial dimensions on optimal resetting rate vanishing transitions, in Brownian processes with potential bias and stochastic resetting
The strategy of stochastic resetting is known to expedite the first passage to a target, in diffusive systems. Consequently, the mean first passage time is minimized at an optimal resetting parameter. With Poisson resetting, vanishing transitions in the optimal resetting rate $r_* \to 0$ (continuously or discontinuously) have been found for various model systems, under the further influence of an external potential. In this paper, we explore how the discontinuous transitions in this context are regulated by two other factors -- the first one is spatial dimensions within which the diffusion is embedded, and the second is the time delay introduced before restart. We investigate the effect of these factors by studying analytically two types of models, one with an ordinary drift and another with a barrier, and both types having two absorbing boundaries. In the case of barrier potential, we find that the effect of increasing dimensions on the transitions is quite the opposite of increasing refractory period.
Anisotropic active Brownian particle in two dimensions under stochastic resetting
Amity University（阿米蒂大学）；Tata Institute of Fundamental Research（塔塔基础研究所）；Institute of Electronic Structure and Laser, FORTH-Hellas（希腊基础与研究基金会电子结构与激光研究所）
Resetting mediated navigation of active Brownian searcher in a homogeneous topography
Indian Statistical Institute（印度统计研究所）；International Institute of Information Technology（国际信息技术学院）；The Institute of Mathematical Sciences（数学科学研究所）；Homi Bhabha National Institute（霍米·巴哈国家研究所）
Rank-dependent optimal resetting in multiparticle search
The Raymond and Beverley School of Chemistry, Tel Aviv University（特拉维夫大学雷蒙德和贝弗利化学学院）；The Raymond and Beverley School of Physics & Astronomy, Tel Aviv University（特拉维夫大学雷蒙德和贝弗利物理与天文学院）
