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首页> 外文期刊>Journal of physics, A. Mathematical and theoretical >The excluded volume of two-dimensional convex bodies: shape reconstruction and non-uniqueness
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The excluded volume of two-dimensional convex bodies: shape reconstruction and non-uniqueness

机译:排除的二维凸体积:形状重建和非唯一性

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摘要

In the Onsager model of one-component hard-particle systems, the entire phase behaviour is dictated by a function of relative orientation, which represents the amount of space excluded to one particle by another at this relative orientation. We term this function the excluded volume function. Within the context of two-dimensional convex bodies, we investigate this excluded volume function for one-component systems addressing two related questions. Firstly, given a body can we find the excluded volume function? Secondly, can we reconstruct a body from its excluded volume function? The former is readily answered via an explicit Fourier series representation, in terms of the support function. However we show the latter question is ill-posed in the sense that solutions are not unique for a large class of bodies. This degeneracy is well characterised however, with two bodies admitting the same excluded volume function if and only if the Fourier coefficients of their support functions differ only in phase. Despite the non-uniqueness issue, we then propose and analyse a method for reconstructing a convex body given its excluded volume function, by means of a discretisation procedure where convex bodies are approximated by zonotopes with a fixed number of sides. It is shown that the algorithm will always asymptotically produce a best least-squares approximation of the trial function, within the space of excluded volume functions of centrally symmetric bodies. In particular, if a solution exists, it can be found. Results from a numerical implementation are presented, showing that with only desktop computing power, good approximations to solutions can be readily found.
机译:在单组分硬粒子系统的OnSager型号中,整个相位行为由相对取向的函数决定,其表示在该相对取向上通过另一个粒子排除在一个粒子中的空间量。我们术语术语函数被排除的卷函数。在二维凸体的上下文中,我们调查了解决两个相关问题的单组件系统的不包括卷函数。首先,给予身体,我们可以找到排除的卷函数吗?其次,我们可以从被排除的卷函数重建一体吗?在支持函数方面,前者通过显式的傅里叶系列表示易于回答。然而,我们展示后一种问题是不可能的,因为这是一大类机构的解决方案并不是独一无二的。然而,这种退化性很好,只有在其支持函数的傅立叶系数仅在阶段不同时,两个机构允许相同的排除卷功能。尽管存在非唯一性问题,但我们提出并分析了一种在给定其排除的体积函数的凸起重建凸起的方法,借助于通过具有固定数量的侧面的Zonotopes近似的凸起体。结果表明,该算法将始终渐近地产生试验函数的最佳平方近似,在中央对称体的排除卷函数的空间内。特别是,如果存在解决方案,可以找到它。提出了数值实现的结果,显示只有桌面计算功率,可以容易地找到对解决方案的良好近似值。

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