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arXiv 1107.1783nlin.CD
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用曲率半径法计算平衡态稀硬粒子的Kolmogorov-Sinai熵

Radius of curvature approach to the Kolmogorov-Sinai entropy of dilute hard particles in equilibrium

Astrid S. de Wijn, Henk van Beijeren

摘要:

本文研究了$N$硬盘或球体中稀气体的Kolmogorov-Sinai熵。这可以在密度上扩展为$h_{\mathrm{KS}} \propto n N [\ln n a^d+ B + O(n a^d)+O(1/N)]$,其中$a$是球体或圆盘的直径,$n$是密度,而$d$是系统的维数。我们估计常数$B$通过求解线性微分方程的近似分布的特征值的反曲率半径张量。我们比较结果值的$B$以前的估计和现有的模拟结果,发现非常好的协议与后者。此外,我们比较了新的模拟结果的反曲率曲率半径张量的特征值的分布从我们的计算。对于大多数光谱,我们的计算和模拟之间的一致性非常好。

英文摘要:

We consider the Kolmogorov-Sinai entropy for dilute gases of $N$ hard disks or spheres. This can be expanded in density as $h_{\mathrm{KS}} \propto n N [\ln n a^d+ B + O(n a^d)+O(1/N)]$, with $a$ the diameter of the sphere or disk, $n$ the density, and $d$ the dimensionality of the system. We estimate the constant $B$ by solving a linear differential equation for the approximate distribution of eigenvalues of the inverse radius of curvature tensor. We compare the resulting values of $B$ both to previous estimates and to existing simulation results, finding very good agreement with the latter. Also, we compare the distribution of eigenvalues of the inverse radius of curvature tensor resulting from our calculations to new simulation results. For most of the spectrum the agreement between our calculations and the simulations again is very good.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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