Publications by authors named "Soheli Mukherjee"

Article Synopsis
  • The study examines how long a run-and-tumble particle (RTP) spends at the origin over time, whether influenced by an external drift or not, using the local time metric.
  • It finds that the probability distribution of local time follows a specific mathematical behavior in the long run, linked to how the RTP crosses the origin, indicating a unique feature related to dynamical phase transitions when drift is present.
  • Additionally, the research explores the RTP's time spent in a finite interval, revealing interesting changes in probability behaviors based on the interval's size and extending existing statistical methods for more general applications.
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We investigate analytically the distribution tails of the area A and perimeter L of a convex hull for different types of planar random walks. For N noninteracting Brownian motions of duration T we find that the large-L and -A tails behave as P(L)∼e^{-b_{N}L^{2}/DT} and P(A)∼e^{-c_{N}A/DT}, while the small-L and -A tails behave as P(L)∼e^{-d_{N}DT/L^{2}} and P(A)∼e^{-e_{N}DT/A}, where D is the diffusion coefficient. We calculated all of the coefficients (b_{N},c_{N},d_{N},e_{N}) exactly.

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We consider a system of N noncrossing Brownian particles in one dimension. We find the exact rate function that describes the long-time large deviation statistics of their occupation fraction in a finite interval in space. Remarkably, we find that, for any general N≥2, the system undergoes N-1 dynamical phase transitions of second order.

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We obtain the phase diagram for the Blume-Capel model with the bimodal distribution for random crystal fields, in the space of three fields: temperature (T), crystal field (Δ), and magnetic field (H) on a fully connected graph. We find three different topologies for the phase diagram, depending on the strength of disorder. Three critical lines meet at a tricritical point only for weak disorder.

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