博碩士論文 89222001 完整後設資料紀錄

DC 欄位 語言
DC.contributor物理學系zh_TW
DC.creator魏建豪zh_TW
DC.creatorChien-Hao Weien_US
dc.date.accessioned2003-7-15T07:39:07Z
dc.date.available2003-7-15T07:39:07Z
dc.date.issued2003
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=89222001
dc.contributor.department物理學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract極大熵計算理論(Maximum entropy theory)成功的被運用在連結熱容量的實驗數據與能量(焓)的機率分佈後,我們可以輕易的從單純的物理實驗數據,去了解一個物理系統的相狀態。這一套理論,將會有很大的發展空間,而同樣若我們運用在體積分佈,密度分佈更是有很大的發展性及潛在價值。 我們這篇論文貢獻,是發展出高次係數的規則,才有辦法更詳盡的描述難以分辨的共存狀態,並以幾個實驗數據證實高次的重要性。zh_TW
dc.description.abstractIn statistical mechanics the canonical ensemble theory has been widely used to study the thermodynamic properties of a physical system. Central to this kind of theory is the canonical partition function. Experience shows that an analytical evaluation of the partition function is by no means easy especially for complex systems. An alternative approach within the same theoretical framework is to start with the inverse Laplace transform of partition function. For although this approach to the statistical thermodynamics is no less simpler, the method has the salient traits of resorting to experimental data to extract useful physical quantities. In this work, we re-visit this so-called energy or enthalpy distribution theory. The main advantage in this kind of theory is that, in conjunction with the maximum entropy theory, the energy or enthalpy distribution function can be obtained by resorting only to experimental thermal data. The calculated distribution function can provide insight into the physical system under studied. We illustrate the power of the distribution theory by studying a few selected physical systems.en_US
DC.subject物理系統zh_TW
DC.subject能量zh_TW
DC.subjectzh_TW
DC.subject機率分佈zh_TW
DC.subject統計力學zh_TW
DC.subjectzh_TW
DC.subjectMaimum entropy theoryen_US
DC.subject en_US
DC.title物理系統之能量與焓分佈之統計力學研究zh_TW
dc.language.isozh-TWzh-TW
DC.titleStatistical mechanical study of the energy and enthalpy distribution functions of some physical systemsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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