Finite-time Scaling and its Applications to Continuous Phase Transitions
18www.intechopen.com forms for the magnetization M, the susceptibility χ, and the specific heat C as
M(τ, L)=Lχ(τ, L)=L γ/ν f 2 (τL 1/ν ),using the scaling laws or relationswhere α and γ are critical exponents and the f s including those that will appear later are all scaling functions. In terms of the infinite system correlation length ξ ∞ that diverges at T c asthe argument of f s in Equations (3) is proportional to L/ξ ∞ that governs the finite-size behavior; for small L/ξ ∞ , finite-size scaling appears in which L is a relevant length scale, while large L/ξ ∞ is the thermodynamic limit in which equilibrium behavior shows and L is irrelevant. Note that all the critical exponents assume their infinite-lattices values due to the aforemention assumption (Brézin, 1982;Brézin & Zinn-Justin, 1985). Consequently, measuring the observables for a series of L can then determine the corresponding exponent ratios and finally the critical exponents themselves, the pitch of the critical properties, from the pure power laws emerged exactly at T c or τ = 0 at which f s are assumed to be analytic. In fact, for too small systems sizes and temperatures too far away from T c , corrections to scaling (Wegner, 1972) have to be taken into account. Nevertheless, delicate methods have been developed for extracting critical exponents as well as T c (Amit & Martin-Mayor, 2005;Landau & Binder, 2005). A sequence of Monte Carlo updates may be interpreted as a discrete Markov process (Glauber, 1963;Landau & Binder, 2005;Müler-Krumbhaar & Binder, 1973). Consequently, Monte Carlo simulations can also be applied to study time-dependent dynamic behavior, though usually studied is stochastic relaxational dynamics instead of 'true dynamics' in which the dynamics is determined by the equations of motion derived from a Hamiltonian. Yet, the stochastic dynamics for the kinetic Ising model with local spin dynamics as realized in the single-site Metropolis algorithm (Metropolis et al., 1953), for instance, is believed to fall into the same universality class as that governed by the time-dependent Ginzburg-Landau equation (Hohenberg & Halperin, 1977). Dynamic critical phenomena (Cardy, 1996;Ferrell et al., 1967;Folk & Moser, 2006;Halperin & Hohenberg, 1967;Hohenberg & Halperin, 1977;Ma, 1976) are also companying with a divergent correlation time t eq which diverges with the correlation length ξ ∞ aswith a new dynamical critical exponent z dynamic finite-size scaling (Suzuki, 1977) can be obtained by formally incorporating the time argument t in Equation (1), giving rise to which implies a dynamic finite-size scaling form for the correlation timeTherefore, at the criticality,in the asymptotic region of large time, large size, and small τ. This is again a standard method to estimate z, though when the asymptotic region is reached is not easy to determine (Landau & Binder, 2005;Wansleben & Landau, 1991). However, actual simulations can only be performed inevitably in a limited time ...