Macroscopic Thermodynamics
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Lecture 2 the First Law of Thermodynamics (Ch.1)
Lecture 2 The First Law of Thermodynamics (Ch.1) Outline: 1. Internal Energy, Work, Heating 2. Energy Conservation – the First Law 3. Quasi-static processes 4. Enthalpy 5. Heat Capacity Internal Energy The internal energy of a system of particles, U, is the sum of the kinetic energy in the reference frame in which the center of mass is at rest and the potential energy arising from the forces of the particles on each other. system Difference between the total energy and the internal energy? boundary system U = kinetic + potential “environment” B The internal energy is a state function – it depends only on P the values of macroparameters (the state of a system), not on the method of preparation of this state (the “path” in the V macroparameter space is irrelevant). T A In equilibrium [ f (P,V,T)=0 ] : U = U (V, T) U depends on the kinetic energy of particles in a system and an average inter-particle distance (~ V-1/3) – interactions. For an ideal gas (no interactions) : U = U (T) - “pure” kinetic Internal Energy of an Ideal Gas f The internal energy of an ideal gas U = Nk T with f degrees of freedom: 2 B f ⇒ 3 (monatomic), 5 (diatomic), 6 (polyatomic) (here we consider only trans.+rotat. degrees of freedom, and neglect the vibrational ones that can be excited at very high temperatures) How does the internal energy of air in this (not-air-tight) room change with T if the external P = const? f ⎡ PV ⎤ f U =Nin room k= T Bin⎢ N room = ⎥ = PV 2 ⎣ kB T⎦ 2 - does not change at all, an increase of the kinetic energy of individual molecules with T is compensated by a decrease of their number. -
Recitation: 3 9/18/03
Recitation: 3 9/18/03 Second Law ² There exists a function (S) of the extensive parameters of any composite system, defined for all equilibrium states and having the following property: The values assumed by the extensive parameters in the absence of an internal constraint are those that maximize the entropy over the manifold of constrained equilibrium states. ¡¢ ¡ ² Another way of looking at it: ¡¢ ¡ U1 U2 U=U1+U2 S1 S2 S>S1+S2 ¡¢ ¡ Equilibrium State Figure 1: Second Law ² Entropy is additive. And... � ¶ @S > 0 @U V;N::: ² S is an extensive property: It is a homogeneous, first order function of extensive parameters: S (¸U; ¸V; ¸N) =¸S (U; V; N) ² S is not conserved. ±Q dSSys ¸ TSys For an Isolated System, (i.e. Universe) 4S > 0 Locally, the entropy of the system can decrease. However, this must be compensated by a total increase in the entropy of the universe. (See 2) Q Q ΔS1=¡ ΔS2= + T1³ ´ T2 1 1 ΔST otal =Q ¡ > 0 T2 T1 QuasiStatic Processes A Quasistatic thermodynamic process is defined as the trajectory, in thermodynamic space, along an infinite number of contiguous equilibrium states that connect to equilibrium states, A and B. Universe System T2 T1 Q T1>T2 Figure 2: Local vs. Total Change in Energy Irreversible Process Consider a closed system that can go from state A to state B. The system is induced to go from A to B through the removal of some internal constraint (e.g. removal of adiabatic wall). The systems moves to state B only if B has a maximum entropy with respect to all the other accessible states. -
Thermodynamics
ME346A Introduction to Statistical Mechanics { Wei Cai { Stanford University { Win 2011 Handout 6. Thermodynamics January 26, 2011 Contents 1 Laws of thermodynamics 2 1.1 The zeroth law . .3 1.2 The first law . .4 1.3 The second law . .5 1.3.1 Efficiency of Carnot engine . .5 1.3.2 Alternative statements of the second law . .7 1.4 The third law . .8 2 Mathematics of thermodynamics 9 2.1 Equation of state . .9 2.2 Gibbs-Duhem relation . 11 2.2.1 Homogeneous function . 11 2.2.2 Virial theorem / Euler theorem . 12 2.3 Maxwell relations . 13 2.4 Legendre transform . 15 2.5 Thermodynamic potentials . 16 3 Worked examples 21 3.1 Thermodynamic potentials and Maxwell's relation . 21 3.2 Properties of ideal gas . 24 3.3 Gas expansion . 28 4 Irreversible processes 32 4.1 Entropy and irreversibility . 32 4.2 Variational statement of second law . 32 1 In the 1st lecture, we will discuss the concepts of thermodynamics, namely its 4 laws. The most important concepts are the second law and the notion of Entropy. (reading assignment: Reif x 3.10, 3.11) In the 2nd lecture, We will discuss the mathematics of thermodynamics, i.e. the machinery to make quantitative predictions. We will deal with partial derivatives and Legendre transforms. (reading assignment: Reif x 4.1-4.7, 5.1-5.12) 1 Laws of thermodynamics Thermodynamics is a branch of science connected with the nature of heat and its conver- sion to mechanical, electrical and chemical energy. (The Webster pocket dictionary defines, Thermodynamics: physics of heat.) Historically, it grew out of efforts to construct more efficient heat engines | devices for ex- tracting useful work from expanding hot gases (http://www.answers.com/thermodynamics). -
Thermodynamic Stability: Free Energy and Chemical Equilibrium ©David Ronis Mcgill University
Chemistry 223: Thermodynamic Stability: Free Energy and Chemical Equilibrium ©David Ronis McGill University 1. Spontaneity and Stability Under Various Conditions All the criteria for thermodynamic stability stem from the Clausius inequality,cf. Eq. (8.7.3). In particular,weshowed that for anypossible infinitesimal spontaneous change in nature, d− Q dS ≥ .(1) T Conversely,if d− Q dS < (2) T for every allowed change in state, then the system cannot spontaneously leave the current state NO MATTER WHAT;hence the system is in what is called stable equilibrium. The stability criterion becomes particularly simple if the system is adiabatically insulated from the surroundings. In this case, if all allowed variations lead to a decrease in entropy, then nothing will happen. The system will remain where it is. Said another way,the entropyofan adiabatically insulated stable equilibrium system is a maximum. Notice that the term allowed plays an important role. Forexample, if the system is in a constant volume container,changes in state or variations which lead to a change in the volume need not be considered eveniftheylead to an increase in the entropy. What if the system is not adiabatically insulated from the surroundings? Is there a more convenient test than Eq. (2)? The answer is yes. To see howitcomes about, note we can rewrite the criterion for stable equilibrium by using the first lawas − d Q = dE + Pop dV − µop dN > TdS,(3) which implies that dE + Pop dV − µop dN − TdS >0 (4) for all allowed variations if the system is in equilibrium. Equation (4) is the key stability result. -
Chapter 7 BOUNDARY WORK
Chapter 7 BOUNDARY WORK Frank is struck - as if for the first time - by how much civilization depends on not seeing certain things and pretending others never occurred. − Francine Prose (Amateur Voodoo) In this chapter we will learn to evaluate Win, which is the work term in the first law of thermodynamics. Work can be of different types, such as boundary work, stirring work, electrical work, magnetic work, work of changing the surface area, and work to overcome friction. In this chapter, we will concentrate on the evaluation of boundary work. 110 Chapter 7 7.1 Boundary Work in Real Life Boundary work is done when the boundary of the system moves, causing either compression or expansion of the system. A real-life application of boundary work, for example, is found in the diesel engine which consists of pistons and cylinders as the prime component of the engine. In a diesel engine, air is fed to the cylinder and is compressed by the upward movement of the piston. The boundary work done by the piston in compressing the air is responsible for the increase in air temperature. Onto the hot air, diesel fuel is sprayed, which leads to spontaneous self ignition of the fuel-air mixture. The chemical energy released during this combustion process would heat up the gases produced during combustion. As the gases expand due to heating, they would push the piston downwards with great force. A major portion of the boundary work done by the gases on the piston gets converted into the energy required to rotate the shaft of the engine. -
Hamilton Equations, Commutator, and Energy Conservation †
quantum reports Article Hamilton Equations, Commutator, and Energy Conservation † Weng Cho Chew 1,* , Aiyin Y. Liu 2 , Carlos Salazar-Lazaro 3 , Dong-Yeop Na 1 and Wei E. I. Sha 4 1 College of Engineering, Purdue University, West Lafayette, IN 47907, USA; [email protected] 2 College of Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA; [email protected] 3 Physics Department, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA; [email protected] 4 College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310058, China; [email protected] * Correspondence: [email protected] † Based on the talk presented at the 40th Progress In Electromagnetics Research Symposium (PIERS, Toyama, Japan, 1–4 August 2018). Received: 12 September 2019; Accepted: 3 December 2019; Published: 9 December 2019 Abstract: We show that the classical Hamilton equations of motion can be derived from the energy conservation condition. A similar argument is shown to carry to the quantum formulation of Hamiltonian dynamics. Hence, showing a striking similarity between the quantum formulation and the classical formulation. Furthermore, it is shown that the fundamental commutator can be derived from the Heisenberg equations of motion and the quantum Hamilton equations of motion. Also, that the Heisenberg equations of motion can be derived from the Schrödinger equation for the quantum state, which is the fundamental postulate. These results are shown to have important bearing for deriving the quantum Maxwell’s equations. Keywords: quantum mechanics; commutator relations; Heisenberg picture 1. Introduction In quantum theory, a classical observable, which is modeled by a real scalar variable, is replaced by a quantum operator, which is analogous to an infinite-dimensional matrix operator. -
The Conjugate Variable Method in Hamilton-Lie Perturbation Theory −Applications to Plasma Physics−
Plasma and Fusion Research: Regular Articles Volume 3, 057 (2008) The Conjugate Variable Method in Hamilton-Lie Perturbation Theory −Applications to Plasma Physics− Shinji TOKUDA Japan Atomic Energy Agency, Naka, Ibaraki, 311-0193 Japan (Received 21 February 2008 / Accepted 29 July 2008) The conjugate variable method, an essential ingredient in the path-integral formalism of classical statistical dynamics, is used to apply the Hamilton-Lie perturbation theory to a system of ordinary differential equations that does not have the Hamiltonian dynamic structure. The method endows the system with this structure by doubling the unknown variables; hence, the canonical Hamilton-Lie perturbation theory becomes applicable to the system. The method is applied to two classical problems of plasma physics to demonstrate its effectiveness and study its properties: a non-linear oscillator that can explode and the guiding center motion of a charged particle in a magnetic field. c 2008 The Japan Society of Plasma Science and Nuclear Fusion Research Keywords: one-form, Hamilton-Lie perturbation method, conjugate variable, non-linear oscillator, guiding cen- ter motion, plasma physics DOI: 10.1585/pfr.3.057 1. Introduction Since the Hamilton-Lie perturbation method is a pow- We begin by considering the following two non-linear erful analytical tool that enables us to investigate the prob- oscillators lem deeply, it would be a significant contribution to the de- velopment of approximation methods in physics if it were dx dy = y, = −x − x3, (1) made applicable for equations such as Eq. (2), which do dt dt not have the Hamiltonian structure. This seems impossi- and ble since the Hamilton-Lie perturbation method assumes the Hamiltonian structure of the equations. -
A Method for Choosing an Initial Time Eigenstate in Classical and Quantum Systems
Entropy 2013, 15, 2415-2430; doi:10.3390/e15062415 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Article A Method for Choosing an Initial Time Eigenstate in Classical and Quantum Systems Gabino Torres-Vega * and Monica´ Noem´ı Jimenez-Garc´ ´ıa Physics Department, Cinvestav, Apdo. postal 14-740, Mexico,´ DF 07300 , Mexico; E-Mail:njimenez@fis.cinvestav.mx * Author to whom correspondence should be addressed; E-Mail: gabino@fis.cinvestav.mx; Tel./Fax: +52-555-747-3833. Received: 23 April 2013; in revised form: 29 May 2013 / Accepted: 3 June 2013 / Published: 17 June 2013 Abstract: A subject of interest in classical and quantum mechanics is the development of the appropriate treatment of the time variable. In this paper we introduce a method of choosing the initial time eigensurface and how this method can be used to generate time-energy coordinates and, consequently, time-energy representations for classical and quantum systems. Keywords: energy-time coordinates; energy-time eigenfunctions; time in classical systems; time in quantum systems; commutators in classical systems; commutators Classification: PACS 03.65.Ta; 03.65.Xp; 03.65.Nk 1. Introduction The possible existence of a time operator in Quantum Mechanics has long been a subject of interest. This subject has been studied from different points of view and has led to several developments in quantum theory. At the end of this paper there is a short, incomplete, list of papers on this subject. However, we can also study the time variable in classical systems to begin to understand how to address time in quantum systems. -
Thermodynamic Temperature
Thermodynamic temperature Thermodynamic temperature is the absolute measure 1 Overview of temperature and is one of the principal parameters of thermodynamics. Temperature is a measure of the random submicroscopic Thermodynamic temperature is defined by the third law motions and vibrations of the particle constituents of of thermodynamics in which the theoretically lowest tem- matter. These motions comprise the internal energy of perature is the null or zero point. At this point, absolute a substance. More specifically, the thermodynamic tem- zero, the particle constituents of matter have minimal perature of any bulk quantity of matter is the measure motion and can become no colder.[1][2] In the quantum- of the average kinetic energy per classical (i.e., non- mechanical description, matter at absolute zero is in its quantum) degree of freedom of its constituent particles. ground state, which is its state of lowest energy. Thermo- “Translational motions” are almost always in the classical dynamic temperature is often also called absolute tem- regime. Translational motions are ordinary, whole-body perature, for two reasons: one, proposed by Kelvin, that movements in three-dimensional space in which particles it does not depend on the properties of a particular mate- move about and exchange energy in collisions. Figure 1 rial; two that it refers to an absolute zero according to the below shows translational motion in gases; Figure 4 be- properties of the ideal gas. low shows translational motion in solids. Thermodynamic temperature’s null point, absolute zero, is the temperature The International System of Units specifies a particular at which the particle constituents of matter are as close as scale for thermodynamic temperature. -
Introduction to Legendre Transforms
Legendre transforms Mark Alford, 2019-02-15 1 Introduction to Legendre transforms If you know basic thermodynamics or classical mechanics, then you are already familiar with the Legendre transformation, perhaps without realizing it. The Legendre transformation connects two ways of specifying the same physics, via functions of two related (\conjugate") variables. Table 1 shows some examples of Legendre transformations in basic mechanics and thermodynamics, expressed in the standard way. Context Relationship Conjugate variables Classical particle H(p; x) = px_ − L(_x; x) p = @L=@x_ mechanics L(_x; x) = px_ − H(p; x)_x = @H=@p Gibbs free G(T;:::) = TS − U(S; : : :) T = @U=@S energy U(S; : : :) = TS − G(T;:::) S = @G=@T Enthalpy H(P; : : :) = PV + U(V; : : :) P = −@U=@V U(V; : : :) = −PV + H(P; : : :) V = @H=@P Grand Ω(µ, : : :) = −µN + U(n; : : :) µ = @U=@N potential U(n; : : :) = µN + Ω(µ, : : :) N = −@Ω=@µ Table 1: Examples of the Legendre transform relationship in physics. In classical mechanics, the Lagrangian L and Hamiltonian H are Legendre transforms of each other, depending on conjugate variablesx _ (velocity) and p (momentum) respectively. In thermodynamics, the internal energy U can be Legendre transformed into various thermodynamic potentials, with associated conjugate pairs of variables such as temperature-entropy, pressure-volume, and \chemical potential"-density. The standard way of talking about Legendre transforms can lead to contradictorysounding statements. We can already see this in the simplest example, the classical mechanics of a single particle, specified by the Legendre transform pair L(_x) and H(p) (we suppress the x dependence of each of them). -
Chapter 11 ENTROPY
Chapter 11 ENTROPY There is nothing like looking, if you want to find something. You certainly usually find something, if you look, but it is not always quite the something you were after. − J.R.R. Tolkien (The Hobbit) In the preceding chapters, we have learnt many aspects of the first law applications to various thermodynamic systems. We have also learnt to use the thermodynamic properties, such as pressure, temperature, internal energy and enthalpy, when analysing thermodynamic systems. In this chap- ter, we will learn yet another thermodynamic property known as entropy, and its use in the thermodynamic analyses of systems. 250 Chapter 11 11.1 Reversible Process The property entropy is defined for an ideal process known as the re- versible process. Let us therefore first see what a reversible process is all about. If we can execute a process which can be reversed without leaving any trace on the surroundings, then such a process is known as the reversible process. That is, if a reversible process is reversed then both the system and the surroundings are returned to their respective original states at the end of the reverse process. Processes that are not reversible are called irreversible processes. Student: Teacher, what exactly is the difference between a reversible process and a cyclic process? Teacher: In a cyclic process, the system returns to its original state. That’s all. We don’t bother about what happens to its surroundings when the system is returned to its original state. In a reversible process, on the other hand, the system need not return to its original state. -
Circuits Et Signaux Quantiques Quantum
Chaire de Physique Mésoscopique Michel Devoret Année 2008, 13 mai - 24 juin CIRCUITS ET SIGNAUX QUANTIQUES QUANTUM SIGNALS AND CIRCUITS Première leçon / First Lecture This College de France document is for consultation only. Reproduction rights are reserved. 08-I-1 VISIT THE WEBSITE OF THE CHAIR OF MESOSCOPIC PHYSICS http://www.college-de-france.fr then follow Enseignement > Sciences Physiques > Physique Mésoscopique > PDF FILES OF ALL LECTURES WILL BE POSTED ON THIS WEBSITE Questions, comments and corrections are welcome! write to "[email protected]" 08-I-2 1 CALENDAR OF SEMINARS May 13: Denis Vion, (Quantronics group, SPEC-CEA Saclay) Continuous dispersive quantum measurement of an electrical circuit May 20: Bertrand Reulet (LPS Orsay) Current fluctuations : beyond noise June 3: Gilles Montambaux (LPS Orsay) Quantum interferences in disordered systems June 10: Patrice Roche (SPEC-CEA Saclay) Determination of the coherence length in the Integer Quantum Hall Regime June 17: Olivier Buisson, (CRTBT-Grenoble) A quantum circuit with several energy levels June 24: Jérôme Lesueur (ESPCI) High Tc Josephson Nanojunctions: Physics and Applications NOTE THAT THERE IS NO LECTURE AND NO SEMINAR ON MAY 27 ! 08-I-3 PROGRAM OF THIS YEAR'S LECTURES Lecture I: Introduction and overview Lecture II: Modes of a circuit and propagation of signals Lecture III: The "atoms" of signal Lecture IV: Quantum fluctuations in transmission lines Lecture V: Introduction to non-linear active circuits Lecture VI: Amplifying quantum signals with dispersive circuits NEXT YEAR: STRONGLY NON-LINEAR AND/OR DISSIPATIVE CIRCUITS 08-I-4 2 LECTURE I : INTRODUCTION AND OVERVIEW 1. Review of classical radio-frequency circuits 2.