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Umashankar Pardhi

Publications and source records attributed to Umashankar Pardhi.

2 recordsLinked to original sources

Mathematical analysis of the Markovian Mpemba effect

The Mpemba effect is a counterintuitive phenomenon in which two equilibrium systems at different temperatures, say hot and warm systems, when quenched at the same bath temperature, for some pair of hot and warm temperatures, the hot system comes to bath temperature faster than the warm system. In recent years, studies on the Mpemba effect for Markovian systems under external potential, which are continuous-time, continuous-state-space Markov processes, have been carried out theoretically and experimentally by resorting to pseudo-distance measures which are not true distance metrics. Moreover, maximum crossover time is given for the Mpemba effect for all monotone distance measures or functions (which include true distance metrics and pseudo-distance measures). However, no mathematical analysis is carried out for the mere possibility of the presence of the Mpemba effect for Markovian systems under an external potential with a true distance metric. In this paper, by using a true distance metric which arises naturally from the weighted Hilbert space in which the adjoint of the generator of the Markov process is a Hermitian operator, we have shown the mathematical analysis of the possibility of the presence of the Mpemba effect by using Poincaré inequality and the geometry of Hilbert space.

cond-mat.stat-mech↗

Spontaneous Emergence of Run-and-Tumble-Like Dynamics in a Robotic Analog of \textit{Chlamydomonas}: Experiment and Theory

Run-and-tumble (RT) motion is commonly observed in flagellated microswimmers, arising from synchronous and asynchronous flagellar beating. One such example is a biflagellated alga, called \textit{Chlamydomonas reinhardtii}. Its flagellar synchronization is not only affected by hydrodynamic interactions but also through contractile stress fibers that mechanically couple the flagella, enabling adaptable swimming behavior. To explore this, we design a macroscopic mechanical system that comprises dry, self-propelled robots linked by a rigid rod to model this organism. By varying the attachment points of the two ends of the rod on each robot, the model incorporates the effect of fiber contractility observed in the real organism. To mimic a low Reynolds number environment, we program each robot to undergo overdamped active Brownian (AB) motion. We find that such a system exhibits RT-like behavior, characterized by sharp, direction-reversing tumbles and exponentially distributed run times, consistent with the real organism. Moreover, we quantify tumbling frequency and demonstrate its tunability across experimental parameters. Additionally, we provide a theoretical model that reproduces our results, elucidating physical mechanisms governing RT dynamics. Thus, our robotic system not only replicates RT motion but also captures several subtle characteristics, offering valuable insights into the underlying physics of microswimmer motility.

cond-mat.soft↗