简单体系温度涨落的发散问题

平衡体系热力学推导涨落的前提是涨落必须很小，如果得到一个发散的结果说明这一涨落是不可靠的.对一些体系温度涨落的热力学结果，在温度趋于绝对零度时是发散的，这时必须用统计物理来处理.对这些体系进行统计物理处理的结果表明，涨落在温度趋于绝对零度时是趋于零的. 关键词： 热力学与统计物理 涨落     

温度小议

温度是热力学中非常重要的物理概念，温度概念是建立在平衡态的基础上的，在热力学中又称为热平衡态，在气体体系中也称为热动平衡态．处在互为热平衡态的体系都有相同的温度。     

统计物理方法在离散变量模型中的应用及推广

提出离散变量模型,并基于此模型由最大熵原理出发,展现了统计物理方法在热力学系统中的具体应用.该方法可以推广应用至由大量"个体"所构成的"总体"非物理系统中,如金融系统,社会生产系统等.文中还指出由最大熵原理得到的概率分布函数同时适用于平衡态和非平衡定态的热力学系统.     

两学分“统热”课程的探索与实践

本文介绍近年来内蒙古大学为应用物理、电子科学与技术专业开设2学分"统计热力学"(热力学与统计物理学)课程的教学方案设计及教学实践.该课程在32学时的授课中,可做到基本理论、方法及应用几个方面的统筹兼顾,且保证了热力学与统计物理课程知识体系的系统性和完整性.     

准静态过程中热量的统计物理方法讨论

本文应用统计物理的方法探讨了热量概念，以揭示热量的微观本质，并对各种准静态过程的热量作了讨论，得出了与热力学方法完全相同的结论．     

论范德瓦尔斯a和b参数与温度的关系

范德瓦尔斯方程中a、b参数是否与温度相关,不但不同文献中的说法互不相同,而且有同一文献前后的结论相互矛盾.本文分析了这个令人迷惑的问题.在热力学中a和b参量被处理为与温度无关,它仅仅在临界点附近有效并可以把范德瓦尔斯方程表述为对应态定律;在更加广泛的温度区间a、b参量和温度有关,但是范德瓦尔斯方程却丧失了其独特性.统计物理文献把a和b参量处理成为位力展开的一种拟合方程,发现一般情况下两个参数都依赖于温度,仅仅在特殊情况下和温度无关,以说明对应态定律成立的条件.热力学和统计物理关于a和b参量是否依赖于温度相互矛盾的表述,源于这两个理论中范德瓦尔斯状态方程适用范围不同.     

《热力学与统计物理简明教程》——值得推荐的好教材

高等教育出版社2011年出版了《热力学与统计物理简明教程》一书,是《大学物理》副主编、北京师范大学物理系包景东教授历经十多年的教学科研编写而成的.在教学过程中,作者博览了国内外热物理学、统计热力学、平衡态统计物理、量子统计物理学、计算物理等教科书及科研论文,根据教育部物理学     

《分子物理学与热力学》课程体系和教学内容的改革与实践

分析研究了《分子物理学与热力学》课程结构体系，教学内容的特点，将《热学》和《热力学．统计物理》中的热力学部分有机地结合在一起，整合成一门结构合理，体系完整的《分子物理学与热力学》，经过几年的教改实践，取到了好的教学效果。     

强迫耗散系统的有序结构和系统的发展(Ⅱ)，广义能量极小值原理和系统的发展

利用大气非线性动力学证明了广义能量极小值原理，进一步从理论上证明它是同大气非平衡 态热力学最小熵产生原理在物理上是一致的.前者表明，强迫耗散动力系统的终态广义能量 达极小值；而最小熵产生原理表明，远离热力学平衡态的开放系其终态时系统内部的不可逆 过程最弱.而且，系统广义能量达极小值和系统熵产生达极小值的终态一般是一个稳定的定 态，它对应着系统的某种有序结构.也就是说它是一个“低耗高效”的有序定态.大气系统作 为自然界一个典型的物理复杂系统，其最小熵产生原理和广义能量极小值原理隐示了自然界 复杂系统的一个一 关键词： 强迫耗散系统 能量极值原理 有序结构 动力系统     

介绍一本较好的统计物理教学用书──统计物理现代教程

L.E.雷克(L E.Reichl)博士著的统计物理现代教程(AModern Course in Statistical Physics)一书的中译本已由北京大学出版社出版了.本书系统地介绍了热力学与统计物理学中的基本概念和近代成就,特别是对七十年代的最新成果作了很好的概述,可作为高等院校物理专业或其它有关专业的本科生与研究生的教材或参考书. 近年来,统计物理领域中出现了许多鼓舞人心的进展,各态历经理论,非线性化学物理,随机理论,量子流体、临界现象、流体力学以及输运理论等方面的新结果,使这门学科发生了革命性的变化,然而迄今为止,这些新结果很少表达成能为统计物…     

范德瓦耳斯和他的状态方程

在物理学发展史上，范德瓦耳斯对气—液流体系统做了开创性的研究工作，建立了人类历史上第一个既能反映气、液各相性质，又能描述相交和临界现象的状态方程。范德瓦耳斯的理论成就和研究方法对热力学、统计力学和低温物理学的发展产生了重要而深远的影响。文章系统探讨了范德瓦耳斯方程产生的历史背景、科学意义和局限性，讨论了范德瓦耳斯的理论和方法对当代物理学的启发意义。     

Emerging of Stochastic Dynamical Equalities and Steady State Thermodynamics from Darwinian Dynamics

The evolutionary dynamics first conceived by Darwin and Wallace, referring to as Darwinian dynamics in the present paper, has been found to be universally valid in biology. The statistical mechanics and thermodynamics, while enormous successful in physics, have been in an awkward situation of wanting a consistent dynamical understanding. Here we present from a formal point of view an exploration of the connection between thermodynamics and Darwinian dynamics and a few related topics. We first show that the stochasticity in Darwinian dynamics implies the existence temperature, hence the canonical distribution of Boltzmann-Gibbs type. In term of relative entropy the Second Law of thermodynamics is dynamically demonstrated without detailed balance condition, and is valid regardless of size of the system. In particular, the dynamical component responsible for breaking detailed balance condition does not contribute to the change of the relative entropy. Two types of stochastic dynamical equalities of current interest are explicitly discussed in the present approach： One is based on Feynman-Kac formula and another is a generalization of Einstein relation. Both are directly accessible to experimental tests. Our demonstration indicates that Darwinian dynamics represents logically a simple and straightforward starting point for statistical mechanics and thermodynamics and is complementary to and consistent with conservative dynamics that dominates the physical sciences. Present exploration suggests the existence of a unified stochastic dynamical framework both near and far from equilibrium.     

From space-time chaos to stochastic thermodynamics

We summarize the results of several experiments that show the evolution of some scientific interests and goals of the statistical and nonlinear physics community in the last 40 years. Specifically, we present how the ideas of extending concepts of equilibrium statistical physics to out-of-equilibrium physics have been developed to characterize various phenomena such as, for example, transition to space-time chaos and glass aging. We then discuss the applications of this out-of-equilibrium thermodynamics to microsystems driven out of equilibrium either by external forces or by temperature gradients. We show that in these systems thermal fluctuations play a role and that all thermodynamics quantities, such as work, heat, and entropy fluctuate. We recall general concepts such as fluctuation theorems and fluctuation dissipation relations used to characterize the statistical properties of these small systems. We describe experiments where all these concepts have been applied and tested with high accuracy. Finally, we show how these theoretical concepts and the experiments allowed us to improve our knowledge on the connection between information and thermodynamics.     

Quantum thermodynamics

Quantum thermodynamics is an emerging research field aiming to extend standard thermodynamics and non-equilibrium statistical physics to ensembles of sizes well below the thermodynamic limit, in non-equilibrium situations and with the full inclusion of quantum effects. Fuelled by experimental advances and the potential of future nanoscale applications, this research effort is pursued by scientists with different backgrounds, including statistical physics, many-body theory, mesoscopic physics and quantum information theory, who bring various tools and methods to the field. A multitude of theoretical questions are being addressed ranging from issues of thermalisation of quantum systems and various definitions of ‘work’ to the efficiency and power of quantum engines. This overview provides a perspective on a selection of these current trends accessible to postgraduate students and researchers alike.     

Steady State Thermodynamics

The present paper reports our attempt to search for a new universal framework in nonequilibrium physics. We propose a thermodynamic formalism that is expected to apply to a large class of nonequilibrium steady states including a heat conducting fluid, a sheared fluid, and an electrically conducting fluid. We call our theory steady state thermodynamics (SST) after Oono and Paniconi's original proposal. The construction of SST is based on a careful examination of how the basic notions in thermodynamics should be modified in nonequilibrium steady states. We define all thermodynamic quantities through operational procedures which can be (in principle) realized experimentally. Based on SST thus constructed, we make some nontrivial predictions, including an extension of Einstein's formula on density fluctuation, an extension of the minimum work principle, the existence of a new osmotic pressure of a purely nonequilibrium origin, and a shift of coexistence temperature. All these predictions may be checked experimentally to test SST for its quantitative validity.     

Algorithmic treatment of the spin-echo effect

We analyze the apparent increase in entropy in the course of the spin-echo effect using algorithmic information theory. We show that although the state of the spins quickly becomes algorithmically complex, then simple again during the echo, the overall complexity of spins together with the magnetic field grows slowly, as the logarithm of the elapsed time. This slow increase in complexity is reflected in an increased difficulty in taking advantage of the echo pulse. Our discussion illustrates the fundamental role of algorithmic information content in the formulation of statistical physics, including the second law of thermodynamics, from the viewpoint of the observer.     

Inherent correlations between thermodynamics and statistical physics in extensive and nonextensive systems

With the help of a general expression of the entropies in extensive and nonextensive systems, some important relations between thermodynamics and statistical mechanics are revealed through the views of thermodynamics and statistical physics. These relations are proved through the MaxEnt approach once again. It is found that for a reversible isothermal process, the information contained in the first and second laws of thermodynamics and the MaxEnt approach is equivalent. Moreover, these relations are used to derive the probability distribution functions in nonextensive and extensive statistics and calculate the generalized forces of some interesting systems. The results obtained are of universal significance.     

The statistical theory of the condensed system equation of state at high pressures

Abstract

One of the main problems in the statistical physics of condensed systems is the problem of the adequate equation of state to describe the thermodynamical properties of the substance in the wide range of pressure values. Here it is being solved by means of thermodynamic perturbation theory and the integral equations of the statistical theory of dense gases and liquids.     

漫谈熵

熵是物理中的一个既重要又微妙的概念。文章从物理学引入熵谈起,依次讨论熵与热力学第二定律、熵的统计力学定义、熵增与基础物理理论的矛盾,以及时间箭头与玻尔兹曼大脑,最后介绍著名的黑洞熵。