• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Generalization of symmetric alpha-stable Lévy distributions for q>1.q>1时对称α稳定 Lévy 分布的推广
J Math Phys. 2010 Mar;51(3):33502. doi: 10.1063/1.3305292. Epub 2010 Mar 3.
2
Random matrix ensembles from nonextensive entropy.来自非广延熵的随机矩阵系综。
Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Jun;69(6 Pt 2):066131. doi: 10.1103/PhysRevE.69.066131. Epub 2004 Jun 17.
3
Fractional Edgeworth expansion: Corrections to the Gaussian-Lévy central-limit theorem.分数阶埃奇沃思展开:对高斯-列维中心极限定理的修正。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 May;91(5):052124. doi: 10.1103/PhysRevE.91.052124. Epub 2015 May 14.
4
Nonextensive foundation of Lévy distributions.Lévy分布的非广延基础。
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Aug;60(2 Pt B):2398-401. doi: 10.1103/physreve.60.2398.
5
Interpretation of the nonextensivity parameter q in some applications of tsallis statistics and Levy distributions.Tsallis统计和Levy分布某些应用中q非广延性参数的解释
Phys Rev Lett. 2000 Mar 27;84(13):2770-3. doi: 10.1103/PhysRevLett.84.2770.
6
Closed-form solutions for the Lévy-stable distribution.勒维稳定分布的闭式解。
Phys Rev E. 2018 Jul;98(1-1):012103. doi: 10.1103/PhysRevE.98.012103.
7
Lévy random walks with fluctuating step number and multiscale behavior.具有波动步数和多尺度行为的 Lévy 随机游走。
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Nov;60(5 Pt A):5327-43. doi: 10.1103/physreve.60.5327.
8
Free random Lévy and Wigner-Lévy matrices.自由随机列维矩阵和维格纳 - 列维矩阵。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May;75(5 Pt 1):051126. doi: 10.1103/PhysRevE.75.051126. Epub 2007 May 30.
9
Long-time fluctuations in a dynamical model of stock market indices.股票市场指数动态模型中的长期波动。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Aug;64(2 Pt 2):026101. doi: 10.1103/PhysRevE.64.026101. Epub 2001 Jul 9.
10
Nonextensive Statistical Mechanics: Equivalence Between Dual Entropy and Dual Probabilities.非广延统计力学:对偶熵与对偶概率之间的等价性
Entropy (Basel). 2020 May 26;22(6):594. doi: 10.3390/e22060594.

引用本文的文献

1
Reply to Pessoa, P.; Arderucio Costa, B. Comment on "Tsallis, C. Black Hole Entropy: A Closer Look. 2020, , 17".回复佩索阿,P.;阿尔德鲁西奥·科斯塔,B. 对“Tsallis, C. 黑洞熵:深入探讨。2020年,,17”的评论
Entropy (Basel). 2021 May 19;23(5):630. doi: 10.3390/e23050630.
2
Beyond Boltzmann-Gibbs-Shannon in Physics and Elsewhere.超越物理学及其他领域中的玻尔兹曼-吉布斯-香农理论
Entropy (Basel). 2019 Jul 15;21(7):696. doi: 10.3390/e21070696.
3
The standard map: From Boltzmann-Gibbs statistics to Tsallis statistics.标准映射:从玻尔兹曼 - 吉布斯统计到Tsallis统计。
Sci Rep. 2016 Mar 23;6:23644. doi: 10.1038/srep23644.

本文引用的文献

1
Superdiffusion and non-Gaussian statistics in a driven-dissipative 2D dusty plasma.驱动耗散二维尘埃等离子体中的超扩散和非高斯统计
Phys Rev Lett. 2008 Feb 8;100(5):055003. doi: 10.1103/PhysRevLett.100.055003. Epub 2008 Feb 6.
2
Analysis of self-organized criticality in the Olami-Feder-Christensen model and in real earthquakes.奥拉米-费德-克里斯滕森模型及真实地震中的自组织临界性分析。
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 May;75(5 Pt 2):055101. doi: 10.1103/PhysRevE.75.055101. Epub 2007 May 14.
3
Tunable Tsallis distributions in dissipative optical lattices.
Phys Rev Lett. 2006 Mar 24;96(11):110601. doi: 10.1103/PhysRevLett.96.110601.
4
On 1/f noise and other distributions with long tails.关于 1/f 噪声和其他长尾分布。
Proc Natl Acad Sci U S A. 1982 May;79(10):3380-3. doi: 10.1073/pnas.79.10.3380.
5
Nonextensive foundation of Lévy distributions.Lévy分布的非广延基础。
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Aug;60(2 Pt B):2398-401. doi: 10.1103/physreve.60.2398.
6
Anomalous diffusion in the presence of external forces: Exact time-dependent solutions and their thermostatistical basis.外力作用下的反常扩散:精确的时间相关解及其热统计基础。
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1996 Sep;54(3):R2197-R2200. doi: 10.1103/physreve.54.r2197.

q>1时对称α稳定 Lévy 分布的推广

Generalization of symmetric alpha-stable Lévy distributions for q>1.

作者信息

Umarov Sabir, Tsallis Constantino, Gell-Mann Murray, Steinberg Stanly

出版信息

J Math Phys. 2010 Mar;51(3):33502. doi: 10.1063/1.3305292. Epub 2010 Mar 3.

DOI:10.1063/1.3305292
PMID:20596232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2869267/
Abstract

The alpha-stable distributions introduced by Lévy play an important role in probabilistic theoretical studies and their various applications, e.g., in statistical physics, life sciences, and economics. In the present paper we study sequences of long-range dependent random variables whose distributions have asymptotic power-law decay, and which are called (q,alpha)-stable distributions. These sequences are generalizations of independent and identically distributed alpha-stable distributions and have not been previously studied. Long-range dependent (q,alpha)-stable distributions might arise in the description of anomalous processes in nonextensive statistical mechanics, cell biology, finance. The parameter q controls dependence. If q=1 then they are classical independent and identically distributed with alpha-stable Lévy distributions. In the present paper we establish basic properties of (q,alpha)-stable distributions and generalize the result of Umarov et al. [Milan J. Math. 76, 307 (2008)], where the particular case alpha=2,q[1,3) was considered, to the whole range of stability and nonextensivity parameters alpha(0,2] and q[1,3), respectively. We also discuss possible further extensions of the results that we obtain and formulate some conjectures.

摘要

由列维引入的α稳定分布在概率理论研究及其各种应用中发挥着重要作用,例如在统计物理学、生命科学和经济学中。在本文中,我们研究具有渐近幂律衰减分布的长程相关随机变量序列,这些序列被称为(q,α)稳定分布。这些序列是独立同分布的α稳定分布的推广,此前尚未被研究过。长程相关的(q,α)稳定分布可能出现在非广延统计力学、细胞生物学、金融中的异常过程描述中。参数q控制相关性。如果q = 1,那么它们就是具有α稳定列维分布的经典独立同分布。在本文中,我们建立了(q,α)稳定分布的基本性质,并将乌马罗夫等人[《米兰数学杂志》76, 307 (2008)]的结果进行了推广,其中考虑了α = 2,q ∈ [1, 3)的特殊情况,分别推广到了稳定性参数α ∈ (0, 2]和非广延性参数q ∈ [1, 3)的整个范围。我们还讨论了我们所获得结果可能的进一步扩展,并提出了一些猜想。