Finite-size rounding replaces a limiting discontinuity or divergence by a finite crossover or peak. For a spatial system near a continuous phase transition, the bulk description ceases to apply unchanged when the correlation length becomes comparable with the sample size. How the crossover width and location depend on size also depends on the model, geometry and boundary conditions; there is no universal rule for every phase transition.
An exact finite example is the Curie–Weiss model with , , and a conjugate field in energy units. Set and . Its statistical Hamiltonian and finite partition function areThe binomial coefficient counts the microstates with positive Ising spins. The diagonal terms in the square add a configuration-independent constant to the energy; retaining them fixes the normalization used here. Divide each summand by to obtain the probability mass function of . In particular,The variance expression makes the finite response nonnegative, while spin inversion symmetry gives exactly at for every plotted .
Every curve is computed from the finite partition function, without selecting one minimum of the Bragg-Williams free energy of the Ising model. The field panel holds fixed and shows increasingly rapid switching between opposite spin magnetizations. The temperature panel uses : its nonzero measures the typical magnitude, while the mean spin magnetization stays zero. The reference marks the limiting critical temperature, not a singular point of any finite curve.
A short limiting argument explains the field panel. Combining the binomial coefficient with its leading entropy gives a Helmholtz free energy per spin whose stationarity equation is . For and the two ordered minima have , where . For large well below the critical temperature, their relative Boltzmann weight is approximately , giving . Thus this two-peak approximation has a field width of order in . It is not valid at the critical temperature, where the peaks merge; the figure uses the exact finite sum throughout.
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