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K. P. N. Murthy

Publications and source records attributed to K. P. N. Murthy.

At least 37 records · Page 2Linked to original sources
arXiv2006

Bayesian Restoration of Digital Images Employing Markov Chain Monte Carlo a Review

A review of Bayesian restoration of digital images based on Monte Carlo techniques is presented. The topics covered include Likelihood, Prior and Posterior distributions, Poisson, Binay symmetric channel, and Gaussian channel models of Likelihood distribution,Ising and Potts spin models of Prior distribution, restoration of an image through Posterior maximization, statistical estimation of a true image from Posterior ensembles, Markov Chain Monte Carlo methods and cluster algorithms.

cs.CV↗
arXiv2006

Ludwig Boltzmann, Transport Equation and the Second Law

Ludwig Boltzmann had a hunch that irreversibility exhibited by a macroscopic system arises from the reversible dynamics of its microscopic constituents. He derived a nonlinear integro-differential equation - now called the Boltzmann equation - for the phase space density of the molecules of a dilute fluid. He showed that the Second law of thermodynamics emerges from Newton's equations of motion. However Boltzmann realized that stosszahlansatz, employed in the derivation, smuggles in an element of stochasticity into the transport equation. He then proposed a fully stochastic description of entropy which laid the foundation for statistical mechanics. Recent developments, embodied in different fluctuation theorems, have shown that Boltzmann's hunch was, in essence, correct.

cond-mat.stat-mech↗
arXiv2005

A formalism for studying long-range correlations in many-alphabets sequences

We formulate a mean-field-like theory of long-range correlated $L$-alphabets sequences, which are actually systems with $(L-1)$ independent parameters. Depending on the values of these parameters, the variance on the average number of any given symbol in the sequence shows a linear or a superlinear dependence on the total length of the sequence. We present exact solution to the four-alphabets and three-alphabets sequences. We also demonstrate that a mapping of the given sequence into a smaller alphabets sequence (namely, a {\it coarse-graining} process) does not necessarily imply that long-range correlations found in the latter would correspond to those of the former.

cond-mat.stat-mech↗
arXiv2005

Wang-Landau Monte Carlo simulation of isotropic-nematic transition in liquid crystals

Wang and Landau proposed recently, a simple and flexible non-Boltzmann Monte Carlo method for estimating the density of states, from which the macroscopic properties of a closed system can be calculated. They demonstrated their algorithm by cocontinuous energy spectrum. We propose in this paper modifications nsidering systems with discrete energy spectrum. We find that the Wang-Landau algorithm does not perform well when the system has continuous energy spectrum. We propose in this paper modifications to the algorithm and demonstrate their performance on a lattice model of liquid crystalline system (with Lebwohl-Lasher interaction having continuously varying energy), exhibiting transition from high temperature isotropic to low temperature nematic phase.

cond-mat.stat-mech↗
arXiv2004

Can coarse-graining introduce long-range correlations in a symbolic sequence?

We present an exactly solvable mean-field-like theory of correlated ternary sequences which are actually systems with two independent parameters. Depending on the values of these parameters, the variance on the average number of any given symbol shows a linear or a superlinear dependence on the length of the sequence. We have shown that the available phase space of the system is made up a diffusive region surrounded by a superdiffusive region. Motivated by the fact that the diffusive portion of the phase space is larger than that for the binary, we have studied the mapping between these two. We have identified the region of the ternary phase space, particularly the diffusive part, that gets mapped into the superdiffusive regime of the binary. This exact mapping implies that long-range correlation found in a lower dimensional representative sequence may not, in general, correspond to the correlation properties of the original system.

cond-mat.stat-mech↗
arXiv2003

An Introduction to Monte Carlo Simulation of Statistical physics Problem

A brief introduction to the technique of Monte Carlo simulations in statistical physics is presented. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, Metropolis algorithm, continuous phase transition, statistical errors from correlated and uncorrelated data, finite size scaling, n-fold way, critical slowing down, blocking technique,percolation, cluster algorithms, cluster counting, histogram techniques, entropic/multicanonical Monte Carlo, Wang-Landau algorith and Jarzynski's identity.

cond-mat.stat-mech↗
arXiv2002

Interacting Growth Walk - a model for hyperquenched homopolymer glass?

We show that the compact self avoiding walk configurations, kinetically generated by the recently introduced Interacting Growth Walk (IGW) model, can be considered as members of a canonical ensemble if they are assigned random values of energy. Such a mapping is necessary for studying the thermodynamic behaviour of this system. We have presented the specific heat data for the IGW, obtained from extensive simulations on a square lattice; we observe a broad hump in the specific heat above the $θ$-point, contrary to expectation.

cond-mat.stat-mech↗
arXiv2002

Interacting Growth Walk on a honeycomb lattice

The Interacting Growth Walk (IGW) is a kinetic algorithm proposed recently for generating long, compact, self avoiding walks. The growth process in IGW is tuned by the so called growth temperature $T' = 1/(k_B β')$. On a square lattice and at $T' = 0$, IGW is attrition free and hence grows indefinitely. In this paper we consider IGW on a honeycomb lattice. We take contact energy, see text, as $ε=-|ε|=-1$. We show that IGW at $β' =\infty$ ($T'=0$) is identical to Interacting Self Avoiding Walk (ISAW) at $β=\ln 4$ ($k_B T = 1/\ln 4=0.7213$). Also IGW at $β' = 0$ ($T' = \infty$) corresponds to ISAW at $β= \ln 2$ ($k_B T= 1/ln 2 = 1.4427$). For other temperatures we need to introduce a statistical weight factor to a walk of the IGW ensemble to make correspondence with the ISAW ensemble.

cond-mat↗
arXiv2002

Protein folding simulations with Interacting Growth Walk model

We demonstrate that the recently proposed interacting growth walk (IGW) model, modified for generating self-avoiding heteropolymers, proves to be a simpler alternative to the other Monte Carlo methods available in the literature for obtaining minimum energy conformation of lattice proteins. In fact, this simple growth algorithm seems to be capable of quickly leading to low energy states for all the three dimensional bench mark HP-sequences investigated.

cond-mat.stat-mech↗
arXiv2001

Comment on "Peculiar Scaling of Self-Avoiding Walk Contacts"

We demonstrate that the recently proposed Interacting Growth Walk (cond-mat/0108097) does not have the contact-scaling behaviour of Self-Avoiding Walk (M. Baiesi, E. Orlandini and A. L. Stella, Phys. Rev. Lett. 87, 070602 (2001)) at finite temperatures.

cond-mat↗
arXiv2001

A new monte carlo algorithm for growing compact Self Avoiding Walks

We propose an algorithm based on local growth rules for kinetically generating self avoiding walk configurations at any given temperature. This algorithm, called the Interacting Growth Walk (IGW) algorithm, does not suffer from attrition on a square lattice at zero temperature, in contrast to the existing algorithms. More importantly, the IGW algorithm facilitates growing compact configurations at lower temperatures - a feature that makes it attractive for studying a variety of processes such as the folding of proteins. We demonstrate that our algorithm correctly describes the collapse transition of a homopolymer in two dimensions.

cond-mat.stat-mech↗
arXiv2001

Sticky Spheres, Entropy barriers and Non-equilibrium phase transitions

A sticky spheres model to describe slow dynamics of a non-equilibrium system is proposed. The dynamical slowing down is due to the presence of entropy barriers. We present an exact mean field analysis of the model and demonstrate that there is a non-equilibrium phase transition from an exponential cluster size distribution to a powerlaw.

cond-mat.stat-mech↗
arXiv2001

Nematic - Isotropic Transition in Porous Media - a Monte Carlo Study

We propose a lattice model to simulate the influence of porous medium on the Nematic - Isotropic transition of liquid crystal confined to the pores. The effects of pore size and pore connectivity are modelled through a disorder parameter. Monte Carlo calculations based on the model leads to results that compare well with experiments.

cond-mat.stat-mech↗
arXiv2001

Monte Carlo: Basics

An introduction to the basics of Monte Carlo is given. The topics covered include, sample space, events, probabilities, random variables, mean, variance, covariance, characteristic function, chebyshev inequality, law of large numbers, central limit theorem (stable distribution, Levy distribution), random numbers (generation and testing), random sampling techniques (inversion, rejection, sampling from a Gaussian, Metropolis sampling), analogue Monte Carlo and Importance sampling (exponential biasing, spanier technique).

cond-mat.stat-mech↗
arXiv2001

Persistence and Life Time Distribution in Coarsening Phenomen

We investigate the life time distribution in one and two dimensional coarsening processes modelled by Ising - Glauber dynamics at zero temperature. We find that the life time distribution obeys a scaling ansatz, asymptotically. An independent life time model where the life times are sampled from a distribution with power law tail is presented, which predicts analytically the qualitative features of the scaling function.

cond-mat.stat-mech↗
arXiv1999

Connection between Dispersive Transport and Statistics of Extreme Events

A length dependence of the effective mobility in the form of a power law, B ~ L^(1-1/alpha) is observed in dispersive transport in amorphous substances, with 0 < α< 1. We deduce this behavior as a simple consequence of the statistical theory of extreme events. We derive various quantities related to the largest value in samples of n trials, for the exponential and power-law probability densities of the individual events.

cond-mat.stat-mech↗
arXiv1997

Relaxation at late stages in an entropy barrier model for glassy systems

The ground state dynamics of an entropy barrier model proposed recently for describing relaxation of glassy systems is considered. At stages of evolution the dynamics can be described by a simple variant of the Ehrenfest urn model. Analytical expression for the relaxation times from an arbitrary state to the ground state is derived. Upper and lower bounds for the relaxation times as a function of system size are obtained.

cond-mat.stat-mech↗