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RESEARCH PRODUCT
Thermalization of Random Motion in Weakly Confining Potentials
Vladimir A. StephanovichPiotr Garbaczewskisubject
Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)Probability (math.PR)FOS: Physical sciencesStatistical and Nonlinear PhysicsProbability density functionMathematical Physics (math-ph)Interval (mathematics)symbols.namesakeThermalisationPhysics - Data Analysis Statistics and ProbabilityLagrange multiplierBounded functionFOS: MathematicssymbolsFinite setConservative forceCondensed Matter - Statistical MechanicsMathematics - ProbabilityData Analysis Statistics and Probability (physics.data-an)Mathematical PhysicsBrownian motionMathematical physicsdescription
We show that in weakly confining conservative force fields, a subclass of diffusion-type (Smoluchowski) processes, admits a family of "heavy-tailed" non-Gaussian equilibrium probability density functions (pdfs), with none or a finite number of moments. These pdfs, in the standard Gibbs-Boltzmann form, can be also inferred directly from an extremum principle, set for Shannon entropy under a constraint that the mean value of the force potential has been a priori prescribed. That enforces the corresponding Lagrange multiplier to play the role of inverse temperature. Weak confining properties of the potentials are manifested in a thermodynamical peculiarity that thermal equilibria can be approached \it only \rm in a bounded temperature interval $0\leq T < T_{max} =2\epsilon_0/k_B$, where $\epsilon_0$ sets an energy scale. For $T \geq T_{max}$ no equilibrium pdf exists.
year | journal | country | edition | language |
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2010-04-26 | Open Systems & Information Dynamics |