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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of statistical physics 8 (1973), S. 1-24 
    ISSN: 1572-9613
    Keywords: Critical slowing down ; dynamic susceptibility ; Heisenberg model ; kinetic equations ; master equation ; mean field approximation ; Monte Carlo ; statistical errors ; stochastic Ising model ; time-dependent correlations ; transition probabilities
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract By means of the Monte Carlo sampling technique the equilibrium thermodynamics of fluids and magnets can be calculated numerically. We show that the questions of convergence and accuracy of this method can be understood in terms of the dynamics of the appropriate stochastic model. Also, we discuss to what extent various choices of transition probabilities lead to different dynamic properties of the system. As examples of applications, we consider Ising and Heisenberg spin systems. The numerical results about the dynamic correlation functions are compared to simple approximations taken from the theory of the kinetic Ising model.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of statistical physics 18 (1978), S. 423-444 
    ISSN: 1572-9613
    Keywords: Ising model ; master equation ; clusters ; nonlinear response ; relaxation functions ; biopolymers
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract A one-dimensional kinetic Ising model with nearest neighbor interactionJ and magnetic fieldH ⩾ 0 is treated in both linear and nonlinear response, using the most general single spin-flip transition probabilities that depend on nearest neighbor states only. The dynamics is reformulated in terms of kinetic equations for the concentration nl +(t) [@#@ nl(t) of clusters containingl up- [or down-] spins, which is exact in the homogeneous case. The initial relaxation time τ* of the magnetization is obtained rigorously for arbitraryJ, H, and temperatureT. The relaxation function is found by numerical integration forJ/T 〈 2. It is shown that “coagulation” of minus-clusters becomes negligible for bothJ/T andH/T large, and the resulting set of equations is solved exactly in terms of an eigenvalue problem. A perturbation theory is developed to take into account the neglected coagulation terms. The relaxation function is found to be non-Lorentzian in general, in contrast to the Glauber results atH = 0, which are recovered as a special case. In addition, nonlinear and linear relaxation functions differ forH ≠ 0. Consequences for the application to biopolymers are briefly mentioned.
    Type of Medium: Electronic Resource
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