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Dive into the research topics where Arnab Chatterjee is active.

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Featured researches published by Arnab Chatterjee.


Physica A-statistical Mechanics and Its Applications | 2004

Pareto law in a kinetic model of market with random saving propensity

Arnab Chatterjee; Bikas K. Chakrabarti; S. S. Manna

We have numerically simulated the ideal-gas models of trading markets, where each agent is identified with a gas molecule and each trading as an elastic or money-conserving two-body collision. Unlike in the ideal gas, we introduce (quenched) saving propensity of the agents, distributed widely between the agents (0⩽λ<1). The system remarkably self-organizes to a critical Pareto distribution of money P(m)∼m−(ν+1) with ν≃1. We analyze the robustness (universality) of the distribution in the model. We also argue that although the fractional saving ingredient is a bit unnatural one in the context of gas models, our model is the simplest so far, showing self-organized criticality, and combines two century-old distributions: Gibbs (1901) and Pareto (1897) distributions.


European Physical Journal B | 2007

Kinetic exchange models for income and wealth distributions

Arnab Chatterjee; Bikas K. Chakrabarti

Abstract.Increasingly, a huge amount of statistics have been gathered which clearly indicates that income and wealth distributions in various countries or societies follow a robust pattern, close to the Gibbs distribution of energy in an ideal gas in equilibrium. However, it also deviates in the low income and more significantly for the high income ranges. Application of physics models provides illuminating ideas and understanding, complementing the observations.


Physical Review E | 2005

Master equation for a kinetic model of a trading market and its analytic solution

Arnab Chatterjee; Bikas K. Chakrabarti; R. B. Stinchcombe

We analyze an ideal-gas-like model of a trading market with quenched random saving factors for its agents and show that the steady state income (m) distribution P(m) in the model has a power law tail with Pareto index nu exactly equal to unity, confirming the earlier numerical studies on this model. The analysis starts with the development of a master equation for the time development of P(m) . Precise solutions are then obtained in some special cases.


Physica Scripta | 2003

Money in gas-like markets: Gibbs and Pareto laws

Arnab Chatterjee; Bikas K. Chakrabarti; S. S. Manna

We consider the ideal-gas models of trading markets, where each agent is identified with a gas molecule and each trading as an elastic or money-conserving (two-body) collision. Unlike in the ideal gas, we introduce saving propensity


Physics Reports | 2015

Statistical mechanics of competitive resource allocation using agent-based models

Anirban Chakraborti; Damien Challet; Arnab Chatterjee; Matteo Marsili; Yi Cheng Zhang; Bikas K. Chakrabarti

\lambda


Scientific Reports | 2013

Universality in voting behavior: an empirical analysis

Arnab Chatterjee; Marija Mitrović; Santo Fortunato

of agents, such that each agent saves a fraction


Physica A-statistical Mechanics and Its Applications | 2009

The Kolkata Paise Restaurant problem and resource utilization

Anindya S. Chakrabarti; Bikas K. Chakrabarti; Arnab Chatterjee; Manipushpak Mitra

\lambda


Physica A-statistical Mechanics and Its Applications | 2012

Disorder induced phase transition in kinetic models of opinion dynamics

Soumya Jyoti Biswas; Arnab Chatterjee; Parongama Sen

of its money and trades with the rest. We show the steady-state money or wealth distribution in a market is Gibbs-like for


Archive | 2007

Econophysics of Markets and Business Networks : Proceedings of the Econophys-Kolkata III

Arnab Chatterjee; Bikas K. Chakrabarti

\lambda=0


Physica A-statistical Mechanics and Its Applications | 2011

A new route to Explosive Percolation

S. S. Manna; Arnab Chatterjee

, has got a non-vanishing most-probable value for

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Bikas K. Chakrabarti

Saha Institute of Nuclear Physics

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Satya R. Chakravarty

Indian Statistical Institute

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Sudip Mukherjee

Saha Institute of Nuclear Physics

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Anindya S. Chakrabarti

Indian Institute of Management Ahmedabad

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Pratip Bhattacharyya

Saha Institute of Nuclear Physics

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Manipushpak Mitra

Indian Statistical Institute

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