Tsallis entropy and nonextensive generalization of Boltzmann-Gibbs statistical mechanics

Tsallis 熵和 Boltzmann-Gibbs 统计力学的非广延推广

基本信息

项目摘要

In 2000 and 2001, I have been addressing to the above research project from the viewpoints of thermodynamics and information theory. I have derived the most general composition law of entropy, which is compatible with the concept of "composability" and the zeroth law of thermodynamics. Starting with thus obtained nonadditive entropy, I have established the thermodynamic Legendre transform structure. This enables one to calculate thermodynamic properties of nonextensive systems. I have also studied the general properties of macroscopic thermodynamical equilibrium, and have found that such a state can be characterized not only by the standard Boltzmann factor but also by the Tsallis-type power-law factor. Then, nonadditive quantum information theory has been developed. I have found that this new theory has in some points superior to the ordinary additive von Neumann theory. Finally, I have discussed the information entropic uncertainty relation associated with the measurements of the position and momentum observables in the power-law wave packets, which may have the divergent variances. I could show that this information theoretic approach can reveal the properties of the wave packets, which cannot be discussed by using the standard Heisenberg-type formulation of the uncertainty relation.
在2000年和2001年,我一直从热力学和信息理论的角度来解决上述研究项目。我得出了最一般的熵成分定律,该定律与“合成性”和热力学的零度概念兼容。从因此获得的非熵熵开始,我已经建立了热力学Legendre变换结构。这使一个人能够计算非xtentandistion系统的热力学特性。我还研究了宏观热力学平衡的一般特性,并发现这种状态不仅可以由标准的玻尔兹曼因子来表征,而且可以由tsallis型幂律因子来表征。然后,已经开发了非添加量子信息理论。我发现,在某些角度,这种新理论优于普通的添加剂von Neumann理论。最后,我讨论了与幂律波浪数据包中位置和动量可观察物的测量相关的信息熵不确定性关系,这些位置和动量可观察到可能具有不同的方差。我可以表明,这种信息理论方法可以揭示波数据包的特性,这无法通过使用不确定性关系的标准海森堡型公式来讨论。

项目成果

期刊论文数量(26)
专著数量(0)
科研奖励数量(0)
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专利数量(0)
S.Abe and Y.Okamoto 共編著: "Nonextensive Statistical Mechanics and Its Applications"Springer-Verlag. 279 (2001)
S.Abe 和 Y.Okamoto 共同编辑:“非广延统计力学及其应用”Springer-Verlag 279 (2001)。
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S.Abe and A.K.Rajagopal: "Microcanonical foundation for systems with power-law distributions"Journal of Physics A. 33. 8733-8738 (2000)
S.Abe 和 A.K.Rajagopal:“幂律分布系统的微正则基础”物理学杂志 A. 33. 8733-8738 (2000)
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S.Abe: "General pseudoadditivity of composable entropy prescribed by the existence of eguilibrium"Physical Review E. 63. 061105 (2001)
S.Abe:“由平衡的存在规定的可组合熵的一般伪可加性”物理评论 E. 63. 061105 (2001)
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S.Abe, Y.Okamoto共編著: "Nonextensive Statistical Mechanics and Its Applications"Springer-Verlag. 277 (2001)
S.Abe 和 Y.Okamoto 共同编辑:“非广延统计力学及其应用”Springer-Verlag 277 (2001)。
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S.Abe and A.K.Rajagopal: "Rates of convergence of nonextensive statistical distributions to Levy distributions in full and half-spaces"Journal of Physics A. 33. 8723-8732 (2000)
S.Abe 和 A.K.Rajagopal:“全空间和半空间中非广延统计分布与 Levy 分布的收敛率”物理学杂志 A. 33. 8723-8732 (2000)
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ABE Sumiyoshi其他文献

ABE Sumiyoshi的其他文献

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{{ truncateString('ABE Sumiyoshi', 18)}}的其他基金

Formulation of variational principle for fractional kinetics and its applications
分数阶动力学变分原理的表述及其应用
  • 批准号:
    26400391
  • 财政年份:
    2014
  • 资助金额:
    $ 0.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of an Operational Approach to Quantum Thermodynamics
量子热力学操作方法的发展
  • 批准号:
    23540448
  • 财政年份:
    2011
  • 资助金额:
    $ 0.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Formulation of the thermodynamic formalism for superstatistics and systematic derivations of scaling laws in complex systems
超统计的热力学形式主义的公式化和复杂系统中标度定律的系统推导
  • 批准号:
    20540374
  • 财政年份:
    2008
  • 资助金额:
    $ 0.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Study of complex systems with catastrophes based on Tsallis' nonextensive statistical mechanics
基于Tsallis非广延统计力学的复杂灾难系统研究
  • 批准号:
    15540360
  • 财政年份:
    2003
  • 资助金额:
    $ 0.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

相似海外基金

Cosmological model from the holographic equipartition law with a nonadditive entropy
具有非加性熵的全息均分定律的宇宙学模型
  • 批准号:
    18K03613
  • 财政年份:
    2018
  • 资助金额:
    $ 0.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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