Dantchev Daniel, Vassilev Vassil, Rudnick Joseph
Institute of Mechanics, Bulgarian Academy of Sciences, Academic Georgy Bonchev St. Building 4, 1113 Sofia, Bulgaria.
Max-Planck-Institut für Intelligente Systeme, Heisenbergstrasse 3, D-70569 Stuttgart, Germany.
Entropy (Basel). 2025 Apr 25;27(5):468. doi: 10.3390/e27050468.
The mean-field model (MFM) is the workhorse of statistical mechanics: one normally accepts that it yields results which, despite differing numerically from correct ones, are not "very wrong", in that they resemble the actual behavior of the system as eventually obtained by more advanced treatments. This, for example, turns out to be the case for the Casimir force under, say, Dirichlet-Dirichlet, (+,+) and (+,-) boundary conditions (BC) for which, according to the general expectations, the MFM is for similar BC or for dissimilar BC force, with the principally correct position of the maximum strength of the force below or above the critical point Tc. It turns out, however, that this is the case with Dirichlet-Neumann (DN) BC. In this case, the mean-field approach leads to an attractive Casimir force. This contradiction with the "boundary condition rule" is cured in the case of the Gaussian model under DN BC. Our results, which are mathematically exact, demonstrate that the Casimir force within the MFM is attractive as a function of temperature and external magnetic field , while for the Gaussian model, it is repulsive for h=0 and can be, surprisingly, both repulsive and attractive for h≠0. The treatment of the MFM is based on the exact solution of one non-homogeneous, nonlinear differential equation of second order. The Gaussian model is analyzed in terms of both its continuum and lattice realization. The obtained outcome teaches us that the mean-field results should be accepted with caution in the case of fluctuation-induced forces and ought to be checked against the more precise treatment of fluctuations within the envisaged system.
平均场模型(MFM)是统计力学的核心工具:人们通常认为,尽管它得出的结果在数值上与正确结果不同,但并非“大错特错”,因为这些结果与通过更先进处理最终得到的系统实际行为相似。例如,对于卡西米尔力而言,在狄利克雷 - 狄利克雷(Dirichlet - Dirichlet)、( +, + )和( +, - )边界条件(BC)下就是这种情况。根据一般预期,对于相似边界条件,MFM得出的结果是 ,对于不同边界条件得出的力是 ,力的最大强度的主要正确位置在临界点Tc之下或之上。然而,事实证明,对于狄利克雷 - 诺伊曼(Dirichlet - Neumann,DN)边界条件并非如此。在这种情况下,平均场方法导致卡西米尔力具有吸引力。在DN边界条件下的高斯模型中,这种与“边界条件规则”的矛盾得到了解决。我们在数学上精确的结果表明,MFM中的卡西米尔力作为温度 和外部磁场 的函数是有吸引力的,而对于高斯模型,当h = 0时它是排斥的,令人惊讶的是,当h≠0时它既可以是排斥的也可以是有吸引力的。MFM的处理基于一个二阶非齐次非线性微分方程的精确解。高斯模型是根据其连续统和晶格实现进行分析的。所得到的结果告诉我们,在波动诱导力的情况下,对于平均场结果应谨慎接受,并且应该对照所设想系统中波动的更精确处理进行检验。