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arxiv: 1805.08607 · v2 · pith:5UBZTRFPnew · submitted 2018-05-22 · ❄️ cond-mat.stat-mech

Finite- Size Scaling of Correlation Function

classification ❄️ cond-mat.stat-mech
keywords correlationfunctionscalingfinite-sizecriticalfinitepointsize
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We propose the finite-size scaling of correlation function in a finite system near its critical point. At a distance ${\bf r}$ in the finite system with size $L$, the correlation function can be written as the product of $|{\bf r}|^{-(d-2+\eta)}$ and its finite-size scaling function of variables ${\bf r}/L$ and $tL^{1/\nu}$, where $t=(T-T_c)/T_c$. The directional dependence of correlation function is nonnegligible only when $|{\bf r}|$ becomes compariable with $L$. This finite-size scaling of correlation function has been confirmed by correlation functions of the Ising model and the bond percolation in two-diemnional lattices, which are calculated by Monte Carlo simulation. We can use the finite-size scaling of correlation function to determine the critical point and the critical exponent $\eta$.

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