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Reshmi Roy

Publications and source records attributed to Reshmi Roy.

7 recordsLinked to original sources

Diffusive-to-Ballistic transition in a Persistent Random Walk

We study persistent random walk with time dependent velocity reversal probabilities and identify a criterion for a non-equilibrium dynamical transition. As a representative example, we consider a power law reversal probability $p(t)\sim t^{-\alpha}$ and show that the system undergoes a transition at $\alpha=1$, separating a super-diffusive regime for $\alpha<1$ from ballistic regime for $\alpha \geq 1$. Using the results for velocity correlations and persistence statistics, together with finite time scaling of the Binder cumulant and displacement fluctuations, we characterize the transition and its properties in detail. We further argue that the transition is not limited to the power law form, but can also arise for several other time dependent reversal probabilities satisfying the same criterion. The transition persists in arbitrary spatial dimensions provided isotropy of the velocity space is preserved.

cond-mat.stat-mech

Effect of presence of rigid impurities in a system of annihilating domain walls with dynamic bias

The dynamics of interacting domain walls, regarded as a system of particles which are biased to move towards their nearest neighbours and annihilate when they meet, have been studied in the recent past. We study the effect of the presence of a fraction $r$ of quenched impurities (which act as rigid walkers) on the dynamics. Here, in case two domain walls or one impurity and one domain wall happen to be on the same site, both get simultaneously annihilated. It is found that for any non-zero value of $r$, the dynamical behaviour changes as the surviving fraction of particles $\rho(t)$ attains a constant value. $\rho(t)t^\alpha $ shows a universal behaviour when plotted against $r^\beta t$ with $\alpha, \beta$ values depending on whether the particles are rigid or nonrigid. Also, the values differ for the biased and unbiased cases. The time scale associated with the particle decay obtained in several ways shows that it varies with $r$ in a power law manner with a universal exponent.

cond-mat.stat-mech

Queues with resetting: a perspective

Performance modeling is a key issue in queuing theory and operation research. It is well-known that the length of a queue that awaits service or the time spent by a job in a queue depends not only on the service rate, but also crucially on the fluctuations in service time. The larger the fluctuations, the longer the delay becomes and hence, this is a major hindrance for the queue to operate efficiently. Various strategies have been adapted to prevent this drawback. In this perspective, we investigate the effects of one such novel strategy namely resetting or restart, an emerging concept in statistical physics and stochastic complex process, that was recently introduced to mitigate fluctuations-induced delays in queues. In particular, we show that a service resetting mechanism accompanied with an overhead time can remarkably shorten the average queue lengths and waiting times. We examine various resetting strategies and further shed light on the intricate role of the overhead times to the queuing performance. Our analysis opens up future avenues in operation research where resetting-based strategies can be universally promising.

cond-mat.stat-mech

Non-equilibrium dynamics in Ising like models with biased initial condition

We investigate the dynamical fixed points of the zero temperature Glauber dynamics in Ising-like models. The stability analysis of the fixed points in the mean field calculation shows the existence of an exponent that depends on the coordination number $z$ in the Ising model. For the generalised voter model, a phase diagram is obtained based on this study. Numerical results for the Ising model for both the mean field case and short ranged models on lattices with different values of $z$ are also obtained. A related study is the behaviour of the exit probability $E(x_0)$, defined as the probability that a configuration ends up with all spins up starting with $x_0$ fraction of up spins. An interesting result is $E(x_0) = x_0$ in the mean field approximation when $z=2$, which is consistent with the conserved magnetisation in the system. For larger values of $z$, $E(x_0)$ shows the usual finite size dependent non linear behaviour both in the mean field model and in Ising model with nearest neighbour interaction on different two dimensional lattices. For such a behaviour, a data collapse of $E(x_0)$ is obtained using $y = \frac{(x_0 - x_c)}{x_c}L^{1/\nu}$ as the scaling variable and $f(y)=\frac{1+\tanh(\lambda y)}{2}$ appears as the scaling function. The universality of the exponent and the scaling factor is investigated.

cond-mat.stat-mech

$A+ A \to \emptyset$ system in one dimension with particle motion determined by nearest neighbour distances: results for parallel updates

A one dimensional $A+A \to \emptyset$ system where the direction of motion of the particles is determined by the position of the nearest neighours is studied. The particles move with a probability $0.5 + \epsi$ towards their nearest neighbours with $-0.5 \leq \epsi \leq 0.5$. This implies a stochastic motion towards the nearest neighbour or away from it for positive and negative values of $\epsi$ respectively, with $\epsi = \pm ~0.5$ the two deterministic limits. The position of the particles are updated in parallel. The macroscopic as well as tagged particle dynamics are studied which show drastic changes from the diffusive case $\epsi=0$. The decay of particle density shows departure from the usual power law behaviour as found in $\epsi =0$, on both sides of $\epsi =0$ and a scaling regime is obtained for $\epsi > 0$. The $\epsi =0.5$ point is characterized by the presence of dimers, which are isolated pairs of particles in adjacent sites that are never annihilated. The persistence probability is also calculated that decays in a stretched exponential manner for $\epsi < 0$ and switches over to power law behaviour for $\epsi \geq 0$, with different exponents for $\epsi =0$ and $\epsi > 0$. For the tagged particle, the probability distribution $\Pi(x,t)$ that it is at position $x$ at time $t$ shows the existence of a scaling variable $x/t^\nu$ where $\nu = 0.55 \pm 0.05$ for $\epsi > 0$ and varies with $\epsi$ for $\epsi < 0$. Finally, a comparative analysis for the behaviour of all the relevant quantities for the system using parallel and asynchronous dynamics (studied recently) shows that there are significant differences for $\epsi > 0$ while the results are qualitatively similar for $\epsi < 0$.

cond-mat.stat-mech

$A+ A \to \emptyset$ reaction for particles with a dynamic bias to move away from their nearest neighbour in one dimension

We consider the dynamics of particles undergoing the reaction $A+A \to \emptyset$ in one dimension with a dynamic bias. Here the particles move towards their nearest neighbour with probability $0.5+\epsilon$ where $-0.5 \leq \epsilon < 0$. $\epsilon_c = -0.5$ is the deterministic limit where the nearest neighbour interaction is strictly repulsive. We show that the negative bias changes drastically the behaviour of the fraction of surviving particles $\rho(t)$ and persistence probability $P(t)$ with time $t$. $\rho(t)$ decays as $a/ (\log t)^b$ where $b$ increases with $\epsilon - \epsilon_c$. $P(t)$ shows a stretched exponential decay with non-universal decay parameters. The probability $\Pi(x,t)$ that a tagged particle is at position $x$ from its origin is found to be Gaussian for all $\epsilon<0$; the associated scaling variable is $x/t^\alpha$ where $\alpha$ approaches the known limiting value $1/4$ as $\epsilon \to \epsilon_c$, in a power law manner. Some additional features of the dynamics by tagging the particles are also studied. The results are compared to the case of positive bias, a well studied problem.

cond-mat.stat-mech

Tagged particle dynamics in one dimensional $A+ A \to kA$ models with the particles biased to diffuse towards their nearest neighbour

Dynamical features of tagged particles are studied in a one dimensional $A+A \rightarrow kA$ system for $k=0$ and 1, where the particles $A$ have a bias $\epsilon$ $(0 \leq \epsilon \leq 0.5)$ to hop one step in the direction of their nearest neighboring particle. $\epsilon=0$ represents purely diffusive motion and $\epsilon=0.5$ represents purely deterministic motion of the particles. We show that for any $\epsilon$, there is a time scale $t^*$ which demarcates the dynamics of the particles. Below $t^*$, the dynamics are governed by the annihilation of the particles, and the particle motions are highly correlated, while for $t \gg t^*$, the particles move as independent biased walkers. $t^*$ diverges as $(\epsilon_c-\epsilon)^{-\gamma}$, where $\gamma=1$ and $\epsilon_c =0.5$. $\epsilon_c$ is a critical point of the dynamics. At $\epsilon_c$, the probability $S(t)$, that a walker changes direction of its path at time $t$, decays as $S(t) \sim t^{-1}$ and the distribution $D(\tau)$ of the time interval $\tau$ between consecutive changes in the direction of a typical walker decays with a power law as $D(\tau) \sim \tau^{-2}$.

cond-mat.stat-mech