Classical and Quantum H-Theorem Revisited: Variational Entropy and Relaxation Processes
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A Closure Scheme for Chemical Master Equations
A closure scheme for chemical master equations Patrick Smadbeck and Yiannis N. Kaznessis1 Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455 Edited by Wing Hung Wong, Stanford University, Stanford, CA, and approved July 16, 2013 (received for review April 8, 2013) Probability reigns in biology, with random molecular events dictating equation governs the evolution of the probability, PðX; tÞ,thatthe the fate of individual organisms, and propelling populations of system is at state X at time t: species through evolution. In principle, the master probability À Á equation provides the most complete model of probabilistic behavior ∂P X; t X À Á À Á À Á À Á = T X X′ P X′; t − T X′ X P X; t : [1] in biomolecular networks. In practice, master equations describing ∂t complex reaction networks have remained unsolved for over 70 X′ years. This practical challenge is a reason why master equations, for À Á all their potential, have not inspired biological discovery. Herein, we This is a probability conservation equation, where T X X′ is present a closure scheme that solves the master probability equation the transition propensity from any possible state X′ to state X of networks of chemical or biochemical reactions. We cast the master per unit time. In a network of chemical or biochemical reactions, equation in terms of ordinary differential equations that describe the the transition probabilities are defined by the reaction-rate laws time evolution of probability distribution moments. We postulate as a set of Poisson-distributed reaction propensities; these simply that a finite number of moments capture all of the necessary dictate how many reaction events take place per unit time. -
Fluctuations of Spacetime and Holographic Noise in Atomic Interferometry
General Relativity and Gravitation (2011) DOI 10.1007/s10714-010-1137-7 RESEARCHARTICLE Ertan Gokl¨ u¨ · Claus Lammerzahl¨ Fluctuations of spacetime and holographic noise in atomic interferometry Received: 10 December 2009 / Accepted: 12 December 2010 c Springer Science+Business Media, LLC 2010 Abstract On small scales spacetime can be understood as some kind of space- time foam of fluctuating bubbles or loops which are expected to be an outcome of a theory of quantum gravity. One recently discussed model for this kind of space- time fluctuations is the holographic principle which allows to deduce the structure of these fluctuations. We review and discuss two scenarios which rely on the holo- graphic principle leading to holographic noise. One scenario leads to fluctuations of the spacetime metric affecting the dynamics of quantum systems: (i) an appar- ent violation of the equivalence principle, (ii) a modification of the spreading of wave packets, and (iii) a loss of quantum coherence. All these effects can be tested with cold atoms. Keywords Quantum gravity phenomenology, Holographic principle, Spacetime fluctuations, UFF, Decoherence, Wavepacket dynamics 1 Introduction The unification of quantum mechanics and General Relativity is one of the most outstanding problems of contemporary physics. Though yet there is no theory of quantum gravity. There are a lot of reasons why gravity must be quantized [33]. For example, (i) because of the fact that all matter fields are quantized the interactions, generated by theses fields, must also be quantized. (ii) In quantum mechanics and General Relativity the notion of time is completely different. (iii) Generally, in General Relativity singularities necessarily appear where physical laws are not valid anymore. -
Arxiv:1910.10745V1 [Cond-Mat.Str-El] 23 Oct 2019 2.2 Symmetry-Protected Time Crystals
A Brief History of Time Crystals Vedika Khemania,b,∗, Roderich Moessnerc, S. L. Sondhid aDepartment of Physics, Harvard University, Cambridge, Massachusetts 02138, USA bDepartment of Physics, Stanford University, Stanford, California 94305, USA cMax-Planck-Institut f¨urPhysik komplexer Systeme, 01187 Dresden, Germany dDepartment of Physics, Princeton University, Princeton, New Jersey 08544, USA Abstract The idea of breaking time-translation symmetry has fascinated humanity at least since ancient proposals of the per- petuum mobile. Unlike the breaking of other symmetries, such as spatial translation in a crystal or spin rotation in a magnet, time translation symmetry breaking (TTSB) has been tantalisingly elusive. We review this history up to recent developments which have shown that discrete TTSB does takes place in periodically driven (Floquet) systems in the presence of many-body localization (MBL). Such Floquet time-crystals represent a new paradigm in quantum statistical mechanics — that of an intrinsically out-of-equilibrium many-body phase of matter with no equilibrium counterpart. We include a compendium of the necessary background on the statistical mechanics of phase structure in many- body systems, before specializing to a detailed discussion of the nature, and diagnostics, of TTSB. In particular, we provide precise definitions that formalize the notion of a time-crystal as a stable, macroscopic, conservative clock — explaining both the need for a many-body system in the infinite volume limit, and for a lack of net energy absorption or dissipation. Our discussion emphasizes that TTSB in a time-crystal is accompanied by the breaking of a spatial symmetry — so that time-crystals exhibit a novel form of spatiotemporal order. -
Physics/9803005
UWThPh-1997-52 27. Oktober 1997 History and outlook of statistical physics 1 Dieter Flamm Institut f¨ur Theoretische Physik der Universit¨at Wien, Boltzmanngasse 5, 1090 Vienna, Austria Email: [email protected] Abstract This paper gives a short review of the history of statistical physics starting from D. Bernoulli’s kinetic theory of gases in the 18th century until the recent new developments in nonequilibrium kinetic theory in the last decades of this century. The most important contributions of the great physicists Clausius, Maxwell and Boltzmann are sketched. It is shown how the reversibility and the recurrence paradox are resolved within Boltzmann’s statistical interpretation of the second law of thermodynamics. An approach to classical and quantum statistical mechanics is outlined. Finally the progress in nonequilibrium kinetic theory in the second half of this century is sketched starting from the work of N.N. Bogolyubov in 1946 up to the progress made recently in understanding the diffusion processes in dense fluids using computer simulations and analytical methods. arXiv:physics/9803005v1 [physics.hist-ph] 4 Mar 1998 1Paper presented at the Conference on Creativity in Physics Education, on August 23, 1997, in Sopron, Hungary. 1 In the 17th century the physical nature of the air surrounding the earth was es- tablished. This was a necessary prerequisite for the formulation of the gas laws. The invention of the mercuri barometer by Evangelista Torricelli (1608–47) and the fact that Robert Boyle (1627–91) introduced the pressure P as a new physical variable where im- portant steps. Then Boyle–Mariotte’s law PV = const. -
Transitions Still to Be Made Philip Ball
impacts Transitions still to be made Philip Ball A collection of many particles all interacting according to simple, local rules can show behaviour that is anything but simple or predictable. Yet such systems constitute most of the tangible Universe, and the theories that describe them continue to represent one of the most useful contributions of physics. hysics in the twentieth century will That such a versatile discipline as statisti- probably be remembered for quantum cal physics should have remained so well hid- Pmechanics, relativity and the Standard den that only aficionados recognize its Model of particle physics. Yet the conceptual importance is a puzzle for science historians framework within which most physicists to ponder. (The topic has, for example, in operate is not necessarily defined by the first one way or another furnished 16 Nobel of these and makes reference only rarely to the prizes in physics and chemistry.) Perhaps it second two. The advances that have taken says something about the discipline’s place in cosmology, high-energy physics and humble beginnings, stemming from the quantum theory are distinguished in being work of Rudolf Clausius, James Clerk important not only scientifically but also Maxwell and Ludwig Boltzmann on the philosophically, and surely that is why they kinetic theory of gases. In attempting to have impinged so forcefully on the derive the gas laws of Robert Boyle and consciousness of our culture. Joseph Louis Gay-Lussac from an analysis of But the central scaffold of modern the energy and motion of individual physics is a less familiar construction — one particles, Clausius was putting thermody- that does not bear directly on the grand ques- namics on a microscopic basis. -
Kinetic Theory of Gases and Thermodynamics
Kinetic Theory of Gases Thermodynamics State Variables Kinetic Theory of Gases and Thermodynamics Zeroth law of thermodynamics Reversible and Irreversible processes Bedanga Mohanty First law of Thermodynamics Second law of Thermodynamics School of Physical Sciences Entropy NISER, Jatni, Orissa Thermodynamic Potential Course on Kinetic Theory of Gasses and Thermodynamics - P101 Third Law of Thermodynamics Phase diagram 1/112 Principles of thermodynamics, thermodynamic state, extensive/intensive variables. internal energy, Heat, work First law of thermodynamics, heat engines Second law of thermodynamics, entropy Thermodynamic potentials References: Thermodynamics, kinetic theory and statistical thermodynamics by Francis W. Sears, Gerhard L. Salinger Thermodynamics and introduction to thermostatistics, Herbert B. Callen Heat and Thermodynamics: an intermediate textbook by Mark W. Zemansky and Richard H. Dittman About 5-7 Tutorials One Quiz (10 Marks) and 2 Assignments (5 Marks) End Semester Exam (40 Marks) Course Content Suppose to be 12 lectures. Kinetic Theory of Gases Kinetic Theory of Gases Thermodynamics State Variables Zeroth law of thermodynamics Reversible and Irreversible processes First law of Thermodynamics Second law of Thermodynamics Entropy Thermodynamic Potential Third Law of Thermodynamics Phase diagram 2/112 internal energy, Heat, work First law of thermodynamics, heat engines Second law of thermodynamics, entropy Thermodynamic potentials References: Thermodynamics, kinetic theory and statistical thermodynamics by Francis W. Sears, Gerhard L. Salinger Thermodynamics and introduction to thermostatistics, Herbert B. Callen Heat and Thermodynamics: an intermediate textbook by Mark W. Zemansky and Richard H. Dittman About 5-7 Tutorials One Quiz (10 Marks) and 2 Assignments (5 Marks) End Semester Exam (40 Marks) Course Content Suppose to be 12 lectures. -
2. Classical Gases
2. Classical Gases Our goal in this section is to use the techniques of statistical mechanics to describe the dynamics of the simplest system: a gas. This means a bunch of particles, flying around in a box. Although much of the last section was formulated in the language of quantum mechanics, here we will revert back to classical mechanics. Nonetheless, a recurrent theme will be that the quantum world is never far behind: we’ll see several puzzles, both theoretical and experimental, which can only truly be resolved by turning on ~. 2.1 The Classical Partition Function For most of this section we will work in the canonical ensemble. We start by reformu- lating the idea of a partition function in classical mechanics. We’ll consider a simple system – a single particle of mass m moving in three dimensions in a potential V (~q ). The classical Hamiltonian of the system3 is the sum of kinetic and potential energy, p~ 2 H = + V (~q ) 2m We earlier defined the partition function (1.21) to be the sum over all quantum states of the system. Here we want to do something similar. In classical mechanics, the state of a system is determined by a point in phase space.Wemustspecifyboththeposition and momentum of each of the particles — only then do we have enough information to figure out what the system will do for all times in the future. This motivates the definition of the partition function for a single classical particle as the integration over phase space, 1 3 3 βH(p,q) Z = d qd pe− (2.1) 1 h3 Z The only slightly odd thing is the factor of 1/h3 that sits out front. -
Semi-Classical Lindblad Master Equation for Spin Dynamics
Journal of Physics A: Mathematical and Theoretical J. Phys. A: Math. Theor. 54 (2021) 235201 (13pp) https://doi.org/10.1088/1751-8121/abf79b Semi-classical Lindblad master equation for spin dynamics Jonathan Dubois∗ ,UlfSaalmann and Jan M Rost Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, 01187 Dresden, Germany E-mail: [email protected], [email protected] and [email protected] Received 25 January 2021, revised 18 March 2021 Accepted for publication 13 April 2021 Published 7 May 2021 Abstract We derive the semi-classical Lindblad master equation in phase space for both canonical and non-canonicalPoisson brackets using the Wigner–Moyal formal- ism and the Moyal star-product. The semi-classical limit for canonical dynam- ical variables, i.e. canonical Poisson brackets, is the Fokker–Planck equation, as derived before. We generalize this limit and show that it holds also for non- canonical Poisson brackets. Examples are gyro-Poisson brackets, which occur in spin ensembles, systems of recent interest in atomic physics and quantum optics. We show that the equations of motion for the collective spin variables are given by the Bloch equations of nuclear magnetization with relaxation. The Bloch and relaxation vectors are expressed in terms of the microscopic operators: the Hamiltonian and the Lindblad functions in the Wigner–Moyal formalism. Keywords: Lindblad master equations,non-canonicalvariables,Hamiltonian systems, spin systems, classical and semi-classical limit, thermodynamical limit (Some fgures may appear in colour only in the online journal) 1. Lindblad quantum master equation Since perfect isolation of a system is an idealization [1, 2], open microscopic systems, which interact with an environment, are prevalent in nature as well as in experiments. -
Causal Relativistic Hydrodynamics of Conformal Fermi-Dirac Gases
Causal Relativistic Hydrodynamics of Conformal Fermi-Dirac Gases Milton Aguilar∗ and Esteban Calzettay Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de F´ısica. Buenos Aires, Argentina. CONICET - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de F´ısica de Buenos Aires (IFIBA). Buenos Aires, Argentina. Abstract In this paper we address the derivation of causal relativistic hydrodynamics, formulated within the framework of Divergence Type Theories (DTTs), from kinetic theory for spinless particles obey- ing Fermi-Dirac statistics. The approach leads to expressions for the particle current and energy momentum tensor that are formally divergent, but may be given meaning through a process of reg- ularization and renormalization. We demonstrate the procedure through an analysis of the stability of an homogeneous anisotropic configuration. In the DTT framework, as in kinetic theory, these configurations are stable. By contrast, hydrodynamics as derived from the Grad approximation would predict that highly anisotropic configurations are unstable. arXiv:1701.01916v2 [hep-ph] 21 Mar 2017 ∗ E-mail me at: [email protected] y E-mail me at: [email protected] 1 I. INTRODUCTION The successful application of relativistic hydrodynamics [1{7] to the description of high energy heavy ion collisions [8{11] has led not only to a revival of this theory, but also to the demand of enlarging its domain of applicability to regimes where the system of interest is still away from local thermal equilibrium [12{14], and so the usual strategy of deriving hydrodynamics as an expansion in deviations from ideal behavior is not available. -
Lecture 6: Entropy
Matthew Schwartz Statistical Mechanics, Spring 2019 Lecture 6: Entropy 1 Introduction In this lecture, we discuss many ways to think about entropy. The most important and most famous property of entropy is that it never decreases Stot > 0 (1) Here, Stot means the change in entropy of a system plus the change in entropy of the surroundings. This is the second law of thermodynamics that we met in the previous lecture. There's a great quote from Sir Arthur Eddington from 1927 summarizing the importance of the second law: If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equationsthen so much the worse for Maxwell's equations. If it is found to be contradicted by observationwell these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of ther- modynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation. Another possibly relevant quote, from the introduction to the statistical mechanics book by David Goodstein: Ludwig Boltzmann who spent much of his life studying statistical mechanics, died in 1906, by his own hand. Paul Ehrenfest, carrying on the work, died similarly in 1933. Now it is our turn to study statistical mechanics. There are many ways to dene entropy. All of them are equivalent, although it can be hard to see. In this lecture we will compare and contrast dierent denitions, building up intuition for how to think about entropy in dierent contexts. The original denition of entropy, due to Clausius, was thermodynamic. -
The Master Equation
The Master Equation Johanne Hizanidis November 2002 Contents 1 Stochastic Processes 1 1.1 Why and how do stochastic processes enter into physics? . 1 1.2 Brownian Motion: a stochastic process . 2 2 Markov processes 2 2.1 The conditional probability . 2 2.2 Markov property . 2 3 The Chapman-Kolmogorov (C-K) equation 3 3.1 The C-K equation for stationary and homogeneous processes . 3 4 The Master equation 4 4.1 Derivation of the Master equation from the C-K equation . 4 4.2 Detailed balance . 5 5 The mean-field equation 5 6 One-step processes: examples 7 6.1 The Poisson process . 8 6.2 The decay process . 8 6.3 A Chemical reaction . 9 A Appendix 11 1 STOCHASTIC PROCESSES 1 Stochastic Processes A stochastic process is the time evolution of a stochastic variable. So if Y is the stochastic variable, the stochastic process is Y (t). A stochastic variable is defined by specifying the set of possible values called 'range' or 'set of states' and the probability distribution over this set. The set can be discrete (e.g. number of molecules of a component in a reacting mixture),continuous (e.g. the velocity of a Brownian particle) or multidimensional. In the latter case, the stochastic variable is a vector (e.g. the three velocity components of a Brownian particle). The figure below helps to get a more intuitive idea of a (discrete) stochastic process. At successive times, the most probable values of Y have been drawn as heavy dots. We may select a most probable trajectory from such a picture. -
Dirty Tricks for Statistical Mechanics
Dirty tricks for statistical mechanics Martin Grant Physics Department, McGill University c MG, August 2004, version 0.91 ° ii Preface These are lecture notes for PHYS 559, Advanced Statistical Mechanics, which I’ve taught at McGill for many years. I’m intending to tidy this up into a book, or rather the first half of a book. This half is on equilibrium, the second half would be on dynamics. These were handwritten notes which were heroically typed by Ryan Porter over the summer of 2004, and may someday be properly proof-read by me. Even better, maybe someday I will revise the reasoning in some of the sections. Some of it can be argued better, but it was too much trouble to rewrite the handwritten notes. I am also trying to come up with a good book title, amongst other things. The two titles I am thinking of are “Dirty tricks for statistical mechanics”, and “Valhalla, we are coming!”. Clearly, more thinking is necessary, and suggestions are welcome. While these lecture notes have gotten longer and longer until they are al- most self-sufficient, it is always nice to have real books to look over. My favorite modern text is “Lectures on Phase Transitions and the Renormalisation Group”, by Nigel Goldenfeld (Addison-Wesley, Reading Mass., 1992). This is referred to several times in the notes. Other nice texts are “Statistical Physics”, by L. D. Landau and E. M. Lifshitz (Addison-Wesley, Reading Mass., 1970) par- ticularly Chaps. 1, 12, and 14; “Statistical Mechanics”, by S.-K. Ma (World Science, Phila., 1986) particularly Chaps.