由信息熵到统计熵的推导

Inference From Informational Entropy to Statistical Entropy

由信息熵的表达式通过演算可以导出统计热力学的正则系综的体系熵函数的表达式，说明用信息论的原理和方法是可以来研究热力学体系的有关信息的。熵函数的物理意义将扩大到信息论的范畴，熵与信息论中的“不确定性”相对应。同时，可以说明当代科学技术发展的特点是高度分化和高度综合相结合，而以综合性、整体性为主的发展总趋势。

Infromational Entropy expresser by calculation may be inferred to System Entropy Function expresser of Statistical Thermodynamics Canonical Ensemble It shows that the principle and method of Information Theory can be used to study related Information of Thermodynamics System The physical significance of Entropy Function can then expand towards into the category of Information Theory Entropy Function corresponds to “indefiniteness” of the Information Theory It can also illustrate that the characteristic of scientific and technological development in modern times is the combination of high disintegration and high synthesis,with a general tendency of development mainly by composition and entirety [