Appendix 7: The chemical potential and the Gibbs factor

Size: px
Start display at page:

Download "Appendix 7: The chemical potential and the Gibbs factor"

Transcription

1 Appendix 7: he chemical potential and the Gibbs fact H. Matsuoka I. hermal equilibrium between two systems that can exchange both heat and particles Consider two systems that are separated by a wall which allows heat and particles to go through it. F example, two metallic pieces in contact with each other can exchange both heat and conduction electrons. On the macro level, in the final equilibrium state i he al internal energy and the al mole number must be conserved: U f U f U const n f n f n const ii Accding to the nd law, the al entropy given by S U,U,V,V,n,n S U,V, n S U U,V,n n must be maximum at U U f and n n f : 0 S U S U U U f,n n f U U f,n n f S U U U f,n n f f f S U S U U U f,n n f U U f,n n f. 3 Also, we must have 0 S n U U f,n n f S n U U f,n n f S n U U f,n n f. Define the chemical potential f each system by µ S n, U,V which leads to the extended version of the fundamental equation: ds du P dv µ dn.

2 We then get S n U U f,n n f f µ f f µ f S n U U f,n n f. 4 By solving the four equations through 4 simultaneously, we can find U f, U f, n f, and n f. he conditions f equilibrium f systems in thermal and diffusive contact: and f f f µ µ f f U f f,v,n U f,v,n f µ U f,v, n f µ U f,v, n he chemical potential Just as heat flows from a high-temperature system to a low-temperature system, particles flow from a high chemical potential system to a low chemical potential system. o see this, consider two systems initially at the same temperature i.e., but at different chemical potentials, µ > µ. ds S U du S n dn S U S - U., / du S n S - n., / dn du µ µ dn µ Since µ > µ, in der f S to increase ds > 0, dn < 0 n must decrease so that particles flow from system to system. µ dn

3 3 II. he Gibbs fact as a probability a statistical weight A system in thermal equilibrium with a heat and particle reservoir at and µ Macro level: he system: U, V, N; at and µ he heat bath: U B,V B, N B ; at and µ U << U B, V << V B, and N << N B he al energy: he al particle number: U U U B >> U N N N B >> N In equilibrium: he temperature of the system the temperature of the heat bath he chemical potential of the system the chemical potential of the heat bath µ S bath U bath and S bath N U bath U B bath N bath N B µ Micro level: he system: in quantum state s he heat bath: in quantum state r bath he al system: in quantum state s ˆ with energy with energy E r ˆ N,r N ˆ bath { } with U E r N ˆ bath and N N ˆ N ˆ bath >> N ˆ >> In equilibrium: W sys U sys,v,n sys W bath U U sys,v B, N N sys at U sys U and N sys N. N bath >> is maximum Since the overwhelming majity of the quantum states f the al system belongs to the W sys U, V, NW bath U U, V B, N N states, U is well approximated by an average of over all the quantum states s { N ˆ,r N ˆ } that satisfies U bath E r N ˆ and bath N N ˆ N ˆ bath : U s N ˆ W bath U, N N ˆ ˆ N W bath U s N ˆ, N N ˆ

4 4 We approximate W bath U W bath U s N ˆ, N N ˆ, N N ˆ exp S k bath U B,N N ˆ, -. / exp S k bath U U 0 B 7 5 exp S k bath U B, N B 7 B U s ˆ k B N 6S bath 6U bath as follows:, N N e S bath U B,N B / k B e U µn / k B s N ˆ µ N ˆ exp k B N N ˆ, U s ˆ 6S bath N k U bath U B B 6N bath N bath N B N N ˆ, where we have assumed U s N ˆ << U, U << U, ˆ <<U U and N << N N, which follows from N << N and N << N. Since the majity of the quantum states f the al system are those cresponding to the equilibrium state the W sys U, V, NW bath U U, N N We finally get W bath U N sys, N N ˆ states, then W sys U sys,v, N sys W bath U U sys,v B, N N sys U sys W sys U, V, N W bath U U, N N e S sys U,N /k B e S bath U B,N B / k B U where P defined as / k B e U S sys µn N ˆ s N ˆ P s N ˆ s N ˆ exp s N ˆ µ N ˆ k B s

5 5 P s e US sys µn / k B exp k B exp k B e / k B µ N ˆ µ N ˆ can be interpreted as the probability f finding the system in eigenstate. In the second line, we have used the definition f the thermodynamic potential: U S sys µn. We can also derive the relation between the Gibbs sum and the thermodynamic potential by noting that the probability P must be nmalized: when we add up the probability f all the eigenstates, we should find the al sum to be one. from which we get N ˆ P e / k B N ˆ,V, µ e / k B exp s µ N ˆ, k B, V,µ e / k B, V,µ k B ln. We also get exp s N ˆ µ N ˆ P s k B.

Grand Canonical Formalism

Grand Canonical Formalism Grand Canonical Formalism Grand Canonical Ensebmle For the gases of ideal Bosons and Fermions each single-particle mode behaves almost like an independent subsystem, with the only reservation that the

More information

(# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble

(# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble Recall from before: Internal energy (or Entropy): &, *, - (# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble & = /01Ω maximized Ω: fundamental statistical quantity

More information

Adiabats and entropy (Hiroshi Matsuoka) In this section, we will define the absolute temperature scale and entropy.

Adiabats and entropy (Hiroshi Matsuoka) In this section, we will define the absolute temperature scale and entropy. 1184 Adiabats and entropy (Hiroshi Matsuoka In this section, we will define the absolute temperature scale and entropy Quasi-static adiabatic processes and adiabats Suppose that we have two equilibrium

More information

The Euler Equation. Using the additive property of the internal energy U, we can derive a useful thermodynamic relation the Euler equation.

The Euler Equation. Using the additive property of the internal energy U, we can derive a useful thermodynamic relation the Euler equation. The Euler Equation Using the additive property of the internal energy U, we can derive a useful thermodynamic relation the Euler equation. Let us differentiate this extensivity condition with respect to

More information

Introduction Statistical Thermodynamics. Monday, January 6, 14

Introduction Statistical Thermodynamics. Monday, January 6, 14 Introduction Statistical Thermodynamics 1 Molecular Simulations Molecular dynamics: solve equations of motion Monte Carlo: importance sampling r 1 r 2 r n MD MC r 1 r 2 2 r n 2 3 3 4 4 Questions How can

More information

2. Thermodynamics. Introduction. Understanding Molecular Simulation

2. Thermodynamics. Introduction. Understanding Molecular Simulation 2. Thermodynamics Introduction Molecular Simulations Molecular dynamics: solve equations of motion r 1 r 2 r n Monte Carlo: importance sampling r 1 r 2 r n How do we know our simulation is correct? Molecular

More information

Review of classical thermodynamics

Review of classical thermodynamics Review of classical thermodynamics Fundamental Laws, Properties and Processes (2) Entropy and the Second Law Concepts of equilibrium Reversible and irreversible processes he direction of spontaneous change

More information

Thermodynamics: Lecture 6

Thermodynamics: Lecture 6 Thermodynamics: Lecture 6 Chris Glosser March 14, 2001 1 OUTLINE I. Chemical Thermodynamics (A) Phase equilibrium (B) Chemical Reactions (C) Mixing and Diffusion (D) Lead-Acid Batteries 2 Chemical Thermodynamics

More information

Lecture 6 Free Energy

Lecture 6 Free Energy Lecture 6 Free Energy James Chou BCMP21 Spring 28 A quick review of the last lecture I. Principle of Maximum Entropy Equilibrium = A system reaching a state of maximum entropy. Equilibrium = All microstates

More information

Part II: Statistical Physics

Part II: Statistical Physics Chapter 7: Quantum Statistics SDSMT, Physics 2013 Fall 1 Introduction 2 The Gibbs Factor Gibbs Factor Several examples 3 Quantum Statistics From high T to low T From Particle States to Occupation Numbers

More information

Part1B(Advanced Physics) Statistical Physics

Part1B(Advanced Physics) Statistical Physics PartB(Advanced Physics) Statistical Physics Course Overview: 6 Lectures: uesday, hursday only 2 problem sheets, Lecture overheads + handouts. Lent erm (mainly): Brief review of Classical hermodynamics:

More information

Concept of the chemical potential and the activity of elements

Concept of the chemical potential and the activity of elements Concept of the chemical potential and the activity of elements Gibb s free energy, G is function of temperature, T, pressure, P and amount of elements, n, n dg G G (T, P, n, n ) t particular temperature

More information

The Chemical Potential

The Chemical Potential CHEM 331 Physical Chemistry Fall 2017 The Chemical Potential Here we complete our pivot towards chemical thermodynamics with the introduction of the Chemical Potential ( ). This concept was first introduced

More information

Preliminary Examination - Day 2 August 16, 2013

Preliminary Examination - Day 2 August 16, 2013 UNL - Department of Physics and Astronomy Preliminary Examination - Day August 16, 13 This test covers the topics of Quantum Mechanics (Topic 1) and Thermodynamics and Statistical Mechanics (Topic ). Each

More information

Part II: Statistical Physics

Part II: Statistical Physics Chapter 6: Boltzmann Statistics SDSMT, Physics Fall Semester: Oct. - Dec., 2014 1 Introduction: Very brief 2 Boltzmann Factor Isolated System and System of Interest Boltzmann Factor The Partition Function

More information

Thermodynamics & Statistical Mechanics SCQF Level 9, U03272, PHY-3-ThermStat. Thursday 24th April, a.m p.m.

Thermodynamics & Statistical Mechanics SCQF Level 9, U03272, PHY-3-ThermStat. Thursday 24th April, a.m p.m. College of Science and Engineering School of Physics H T O F E E U D N I I N V E B R U S I R T Y H G Thermodynamics & Statistical Mechanics SCQF Level 9, U03272, PHY-3-ThermStat Thursday 24th April, 2008

More information

!W "!#U + T#S, where. !U = U f " U i and!s = S f " S i. ! W. The maximum amount of work is therefore given by =!"U + T"S. !W max

!W !#U + T#S, where. !U = U f  U i and!s = S f  S i. ! W. The maximum amount of work is therefore given by =!U + TS. !W max 1 Appendix 6: The maximum wk theem (Hiroshi Matsuoka) 1. Question and answer: the maximum amount of wk done by a system Suppose we are given two equilibrium states of a macroscopic system. Consider all

More information

ChE 503 A. Z. Panagiotopoulos 1

ChE 503 A. Z. Panagiotopoulos 1 ChE 503 A. Z. Panagiotopoulos 1 STATISTICAL MECHANICAL ENSEMLES 1 MICROSCOPIC AND MACROSCOPIC ARIALES The central question in Statistical Mechanics can be phrased as follows: If particles (atoms, molecules,

More information

ADIABATIC PROCESS Q = 0

ADIABATIC PROCESS Q = 0 THE KINETIC THEORY OF GASES Mono-atomic Fig.1 1 3 Average kinetic energy of a single particle Fig.2 INTERNAL ENERGY U and EQUATION OF STATE For a mono-atomic gas, we will assume that the total energy

More information

Statistical Mechanics

Statistical Mechanics Statistical Mechanics Newton's laws in principle tell us how anything works But in a system with many particles, the actual computations can become complicated. We will therefore be happy to get some 'average'

More information

Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics.

Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics. Chapter 3. Entropy, temperature, and the microcanonical partition function: how to calculate results with statistical mechanics. The goal of equilibrium statistical mechanics is to calculate the density

More information

Chapter 5. Chemical potential and Gibbs distribution

Chapter 5. Chemical potential and Gibbs distribution Chapter 5 Chemical potential and Gibbs distribution 1 Chemical potential So far we have only considered systems in contact that are allowed to exchange heat, ie systems in thermal contact with one another

More information

Physics 360 Review 3

Physics 360 Review 3 Physics 360 Review 3 The test will be similar to the second test in that calculators will not be allowed and that the Unit #2 material will be divided into three different parts. There will be one problem

More information

(a) How much work is done by the gas? (b) Assuming the gas behaves as an ideal gas, what is the final temperature? V γ+1 2 V γ+1 ) pdv = K 1 γ + 1

(a) How much work is done by the gas? (b) Assuming the gas behaves as an ideal gas, what is the final temperature? V γ+1 2 V γ+1 ) pdv = K 1 γ + 1 P340: hermodynamics and Statistical Physics, Exam#, Solution. (0 point) When gasoline explodes in an automobile cylinder, the temperature is about 2000 K, the pressure is is 8.0 0 5 Pa, and the volume

More information

[ ( )] + exp 2α / ( k B T) [ ] + exp 3α / k B T

[ ( )] + exp 2α / ( k B T) [ ] + exp 3α / k B T hermal Physics Homework #10 (optional) (19 points) 1 Your work on this homework set will not be accepted after 3 p.m. on December 4 (W) 1. (3 points) A common mistake people make when they try to calculate

More information

Outline Review Example Problem 1 Example Problem 2. Thermodynamics. Review and Example Problems. X Bai. SDSMT, Physics. Fall 2013

Outline Review Example Problem 1 Example Problem 2. Thermodynamics. Review and Example Problems. X Bai. SDSMT, Physics. Fall 2013 Review and Example Problems SDSMT, Physics Fall 013 1 Review Example Problem 1 Exponents of phase transformation 3 Example Problem Application of Thermodynamic Identity : contents 1 Basic Concepts: Temperature,

More information

Part II: Statistical Physics

Part II: Statistical Physics Chapter 6: Boltzmann Statistics SDSMT, Physics Fall Semester: Oct. - Dec., 2013 1 Introduction: Very brief 2 Boltzmann Factor Isolated System and System of Interest Boltzmann Factor The Partition Function

More information

Statistical Physics. The Second Law. Most macroscopic processes are irreversible in everyday life.

Statistical Physics. The Second Law. Most macroscopic processes are irreversible in everyday life. Statistical Physics he Second Law ime s Arrow Most macroscopic processes are irreversible in everyday life. Glass breaks but does not reform. Coffee cools to room temperature but does not spontaneously

More information

Thermochemical Properties

Thermochemical Properties Thermochemical Properties Materials respond to Thermal stimuli (temperature) Chemical stimuli (composition or environment) Electromagnetic stimuli (electric or magnetic fields) Mechanical stimuli (mechanical

More information

7.3 Heat capacities: extensive state variables (Hiroshi Matsuoka)

7.3 Heat capacities: extensive state variables (Hiroshi Matsuoka) 7.3 Heat capacities: extensive state variables (Hiroshi Matsuoka) 1 Specific heats and molar heat capacities Heat capacity for 1 g of substance is called specific heat and is useful for practical applications.

More information

MSE 201A Thermodynamics and Phase Transformations Fall, 2008 Problem Set No. 8. Given Gibbs generals condition of equilibrium as derived in the notes,

MSE 201A Thermodynamics and Phase Transformations Fall, 2008 Problem Set No. 8. Given Gibbs generals condition of equilibrium as derived in the notes, MSE 201A hermodynamics and Phase ransformations Fall, 2008 Problem Set No. 8 Problem 1: (a) Let a homogeneous fluid with composition, {x}, be surrounded by an impermeable wall and in contact with a reservoir

More information

The Maxwell Relations

The Maxwell Relations CHEM 331 Physical Chemistry Fall 2017 The Maxwell Relations We now turn to one last and very useful consequence of the thermodynamic state functions we have been considering. Each of these potentials (U,

More information

Phase transitions for particles in R 3

Phase transitions for particles in R 3 Phase transitions for particles in R 3 Sabine Jansen LMU Munich Konstanz, 29 May 208 Overview. Introduction to statistical mechanics: Partition functions and statistical ensembles 2. Phase transitions:

More information

MS212 Thermodynamics of Materials ( 소재열역학의이해 ) Lecture Note: Chapter 7

MS212 Thermodynamics of Materials ( 소재열역학의이해 ) Lecture Note: Chapter 7 2017 Spring Semester MS212 Thermodynamics of Materials ( 소재열역학의이해 ) Lecture Note: Chapter 7 Byungha Shin ( 신병하 ) Dept. of MSE, KAIST Largely based on lecture notes of Prof. Hyuck-Mo Lee and Prof. WooChul

More information

More Thermodynamics. Specific Specific Heats of a Gas Equipartition of Energy Reversible and Irreversible Processes

More Thermodynamics. Specific Specific Heats of a Gas Equipartition of Energy Reversible and Irreversible Processes More Thermodynamics Specific Specific Heats of a Gas Equipartition of Energy Reversible and Irreversible Processes Carnot Cycle Efficiency of Engines Entropy More Thermodynamics 1 Specific Heat of Gases

More information

Chemistry 163B Absolute Entropies and Entropy of Mixing

Chemistry 163B Absolute Entropies and Entropy of Mixing Chemistry 163B Absolute Entropies and Entropy of Mixing 1 APPENDIX A: H f, G f, BUT S (no Δ, no sub f ) Hº f Gº f Sº 2 Third Law of Thermodynamics The entropy of any perfect crystalline substance approaches

More information

Thermodynamic equilibrium

Thermodynamic equilibrium Statistical Mechanics Phys504 Fall 2006 Lecture #3 Anthony J. Leggett Department of Physics, UIUC Thermodynamic equilibrium Let s consider a situation where the Universe, i.e. system plus its environment

More information

Reversible Processes. Furthermore, there must be no friction (i.e. mechanical energy loss) or turbulence i.e. it must be infinitely slow.

Reversible Processes. Furthermore, there must be no friction (i.e. mechanical energy loss) or turbulence i.e. it must be infinitely slow. Reversible Processes A reversible thermodynamic process is one in which the universe (i.e. the system and its surroundings) can be returned to their initial conditions. Because heat only flows spontaneously

More information

S = S(f) S(i) dq rev /T. ds = dq rev /T

S = S(f) S(i) dq rev /T. ds = dq rev /T In 1855, Clausius proved the following (it is actually a corollary to Clausius Theorem ): If a system changes between two equilibrium states, i and f, the integral dq rev /T is the same for any reversible

More information

Physics 4230 Final Examination 10 May 2007

Physics 4230 Final Examination 10 May 2007 Physics 43 Final Examination May 7 In each problem, be sure to give the reasoning for your answer and define any variables you create. If you use a general formula, state that formula clearly before manipulating

More information

1. (10) True or False: A material with an ideal thermal equation of state must have a constant c v.

1. (10) True or False: A material with an ideal thermal equation of state must have a constant c v. AME 54531 Intermediate hermodynamics Examination : Prof. J. M. Powers 7 November 018 1. 10) rue or False: A material with an ideal thermal equation of state must have a constant c v. False. Forsuchamaterialc

More information

Lecture 5: Temperature, Adiabatic Processes

Lecture 5: Temperature, Adiabatic Processes Lecture 5: Temperature, Adiabatic Processes Chapter II. Thermodynamic Quantities A.G. Petukhov, PHYS 743 September 20, 2017 Chapter II. Thermodynamic Quantities Lecture 5: Temperature, Adiabatic Processes

More information

Thermodynamics II. Week 9

Thermodynamics II. Week 9 hermodynamics II Week 9 Example Oxygen gas in a piston cylinder at 300K, 00 kpa with volume o. m 3 is compressed in a reversible adiabatic process to a final temperature of 700K. Find the final pressure

More information

PHYSICS 214A Midterm Exam February 10, 2009

PHYSICS 214A Midterm Exam February 10, 2009 Clearly Print LAS NAME: FIRS NAME: SIGNAURE: I.D. # PHYSICS 2A Midterm Exam February 0, 2009. Do not open the exam until instructed to do so. 2. Write your answers in the spaces provided for each part

More information

Phys Midterm. March 17

Phys Midterm. March 17 Phys 7230 Midterm March 17 Consider a spin 1/2 particle fixed in space in the presence of magnetic field H he energy E of such a system can take one of the two values given by E s = µhs, where µ is the

More information

...Thermodynamics. Entropy: The state function for the Second Law. Entropy ds = d Q. Central Equation du = TdS PdV

...Thermodynamics. Entropy: The state function for the Second Law. Entropy ds = d Q. Central Equation du = TdS PdV ...Thermodynamics Entropy: The state function for the Second Law Entropy ds = d Q T Central Equation du = TdS PdV Ideal gas entropy s = c v ln T /T 0 + R ln v/v 0 Boltzmann entropy S = klogw Statistical

More information

summary of statistical physics

summary of statistical physics summary of statistical physics Matthias Pospiech University of Hannover, Germany Contents 1 Probability moments definitions 3 2 bases of thermodynamics 4 2.1 I. law of thermodynamics..........................

More information

Entropy A measure of molecular disorder

Entropy A measure of molecular disorder Entropy A measure of molecular disorder Second Law uses Entropy, S, to identify spontaneous change. Restatement of Second Law: The entropy of the universe tends always towards a maximum (S universe > 0

More information

Removing the mystery of entropy and thermodynamics. Part 3

Removing the mystery of entropy and thermodynamics. Part 3 Removing the mystery of entropy and thermodynamics. Part 3 arvey S. Leff a,b Physics Department Reed College, Portland, Oregon USA August 3, 20 Introduction In Part 3 of this five-part article, [, 2] simple

More information

Thermodynamics. Basic concepts. Thermal equilibrium and temperature

Thermodynamics. Basic concepts. Thermal equilibrium and temperature hermodynamics Basic concepts hermodynamics is a phenomenological description of macroscopic systems with many degrees of freedom. Its microscopic justication is provided by statistical mechanics. Equilibrium

More information

Thermodynamics! for Environmentology!

Thermodynamics! for Environmentology! 1 Thermodynamics! for Environmentology! Thermodynamics and kinetics of natural systems Susumu Fukatsu! Applied Quantum Physics Group! The University of Tokyo, Komaba Graduate School of Arts and Sciences

More information

fiziks Institute for NET/JRF, GATE, IIT-JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES

fiziks Institute for NET/JRF, GATE, IIT-JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES Content-Thermodynamics & Statistical Mechanics 1. Kinetic theory of gases..(1-13) 1.1 Basic assumption of kinetic theory 1.1.1 Pressure exerted by a gas 1.2 Gas Law for Ideal gases: 1.2.1 Boyle s Law 1.2.2

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 11 07/18/14 University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 A. he Helmholt Free Energy and Reversible Work he entropy change S provides an absolutely general

More information

= for reversible < for irreversible

= for reversible < for irreversible CHAPER 6 Entropy Copyright he McGraw-Hill Companies, Inc. Permission required for reproduction or display. he Clausius Inequality: δ 0 Cyclic integral his inequality is valid for all cycles, reversible

More information

Problem: Calculate the entropy change that results from mixing 54.0 g of water at 280 K with 27.0 g of water at 360 K in a vessel whose walls are

Problem: Calculate the entropy change that results from mixing 54.0 g of water at 280 K with 27.0 g of water at 360 K in a vessel whose walls are Problem: Calculate the entropy change that results from mixing 54.0 g of water at 280 K with 27.0 g of water at 360 K in a vessel whose walls are perfectly insulated from the surroundings. Is this a spontaneous

More information

HOMOGENEOUS CLOSED SYSTEM

HOMOGENEOUS CLOSED SYSTEM CHAE II A closed system is one that does not exchange matter with its surroundings, although it may exchange energy. W n in = 0 HOMOGENEOUS CLOSED SYSEM System n out = 0 Q dn i = 0 (2.1) i = 1, 2, 3,...

More information

4.1 LAWS OF MECHANICS - Review

4.1 LAWS OF MECHANICS - Review 4.1 LAWS OF MECHANICS - Review Ch4 9 SYSTEM System: Moving Fluid Definitions: System is defined as an arbitrary quantity of mass of fixed identity. Surrounding is everything external to this system. Boundary

More information

Some properties of the Helmholtz free energy

Some properties of the Helmholtz free energy Some properties of the Helmholtz free energy Energy slope is T U(S, ) From the properties of U vs S, it is clear that the Helmholtz free energy is always algebraically less than the internal energy U.

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term 2013 Notes on the Microcanonical Ensemble

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term 2013 Notes on the Microcanonical Ensemble MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department 8.044 Statistical Physics I Spring Term 2013 Notes on the Microcanonical Ensemble The object of this endeavor is to impose a simple probability

More information

NENG 301 Week 8 Unary Heterogeneous Systems (DeHoff, Chap. 7, Chap )

NENG 301 Week 8 Unary Heterogeneous Systems (DeHoff, Chap. 7, Chap ) NENG 301 Week 8 Unary Heterogeneous Systems (DeHoff, Chap. 7, Chap. 5.3-5.4) Learning objectives for Chapter 7 At the end of this chapter you will be able to: Understand the general features of a unary

More information

2. Describe the second law in terms of adiabatic and reversible processes.

2. Describe the second law in terms of adiabatic and reversible processes. Lecture #3 1 Lecture 3 Objectives: Students will be able to: 1. Describe the first law in terms of heat and work interactions.. Describe the second law in terms of adiabatic and reversible processes. 3.

More information

Chapter 17.3 Entropy and Spontaneity Objectives Define entropy and examine its statistical nature Predict the sign of entropy changes for phase

Chapter 17.3 Entropy and Spontaneity Objectives Define entropy and examine its statistical nature Predict the sign of entropy changes for phase Chapter 17.3 Entropy and Spontaneity Objectives Define entropy and examine its statistical nature Predict the sign of entropy changes for phase changes Apply the second law of thermodynamics to chemical

More information

Properties of Entropy

Properties of Entropy Properties of Entropy Due to its additivity, entropy is a homogeneous function of the extensive coordinates of the system: S(λU, λv, λn 1,, λn m ) = λ S (U, V, N 1,, N m ) This means we can write the entropy

More information

Thus, the volume element remains the same as required. With this transformation, the amiltonian becomes = p i m i + U(r 1 ; :::; r N ) = and the canon

Thus, the volume element remains the same as required. With this transformation, the amiltonian becomes = p i m i + U(r 1 ; :::; r N ) = and the canon G5.651: Statistical Mechanics Notes for Lecture 5 From the classical virial theorem I. TEMPERATURE AND PRESSURE ESTIMATORS hx i x j i = kt ij we arrived at the equipartition theorem: * + p i = m i NkT

More information

Statistical Thermodynamics and Monte-Carlo Evgenii B. Rudnyi and Jan G. Korvink IMTEK Albert Ludwig University Freiburg, Germany

Statistical Thermodynamics and Monte-Carlo Evgenii B. Rudnyi and Jan G. Korvink IMTEK Albert Ludwig University Freiburg, Germany Statistical Thermodynamics and Monte-Carlo Evgenii B. Rudnyi and Jan G. Korvink IMTEK Albert Ludwig University Freiburg, Germany Preliminaries Learning Goals From Micro to Macro Statistical Mechanics (Statistical

More information

= for reversible < for irreversible

= for reversible < for irreversible CAPER 6 Entropy Copyright he McGraw-ill Companies, Inc. Permission required for reproduction or display. he Clausius Inequality: 0 his inequality is valid for all cycles, reversible or irreversible Cycle

More information

First Law CML 100, IIT Delhi SS. The total energy of the system. Contribution from translation + rotation + vibrations.

First Law CML 100, IIT Delhi SS. The total energy of the system. Contribution from translation + rotation + vibrations. Internal Energy he total energy of the system. Contribution from translation + rotation + vibrations. Equipartition theorem for the translation and rotational degrees of freedom. 1/ k B Work Path function,

More information

213 Midterm coming up

213 Midterm coming up 213 Midterm coming up Monday April 8 @ 7 pm (conflict exam @ 5:15pm) Covers: Lectures 1-12 (not including thermal radiation) HW 1-4 Discussion 1-4 Labs 1-2 Review Session Sunday April 7, 3-5 PM, 141 Loomis

More information

P340: Thermodynamics and Statistical Physics, Exam#2 Any answer without showing your work will be counted as zero

P340: Thermodynamics and Statistical Physics, Exam#2 Any answer without showing your work will be counted as zero P340: hermodynamics and Statistical Physics, Exam#2 Any answer without showing your work will be counted as zero 1. (15 points) he equation of state for the an der Waals gas (n = 1 mole) is (a) Find (

More information

Appendix 4. Appendix 4A Heat Capacity of Ideal Gases

Appendix 4. Appendix 4A Heat Capacity of Ideal Gases Appendix 4 W-143 Appendix 4A Heat Capacity of Ideal Gases We can determine the heat capacity from the energy content of materials as a function of temperature. The simplest material to model is an ideal

More information

4.1 Constant (T, V, n) Experiments: The Helmholtz Free Energy

4.1 Constant (T, V, n) Experiments: The Helmholtz Free Energy Chapter 4 Free Energies The second law allows us to determine the spontaneous direction of of a process with constant (E, V, n). Of course, there are many processes for which we cannot control (E, V, n)

More information

Summary Part Thermodynamic laws Thermodynamic processes. Fys2160,

Summary Part Thermodynamic laws Thermodynamic processes. Fys2160, ! Summary Part 2 21.11.2018 Thermodynamic laws Thermodynamic processes Fys2160, 2018 1 1 U is fixed ) *,,, -(/,,), *,, -(/,,) N, 3 *,, - /,,, 2(3) Summary Part 1 Equilibrium statistical systems CONTINUE...

More information

Supplement: Statistical Physics

Supplement: Statistical Physics Supplement: Statistical Physics Fitting in a Box. Counting momentum states with momentum q and de Broglie wavelength λ = h q = 2π h q In a discrete volume L 3 there is a discrete set of states that satisfy

More information

1 Garrod #5.2: Entropy of Substance - Equation of State. 2

1 Garrod #5.2: Entropy of Substance - Equation of State. 2 Dylan J. emples: Chapter 5 Northwestern University, Statistical Mechanics Classical Mechanics and hermodynamics - Garrod uesday, March 29, 206 Contents Garrod #5.2: Entropy of Substance - Equation of State.

More information

Homework #8 Solutions

Homework #8 Solutions Homework #8 Solutions Question 1 K+K, Chapter 5, Problem 6 Gibbs sum for a 2-level system has the following list of states: 1 Un-occupied N = 0; ε = 0 2 Occupied with energy 0; N = 1, ε = 0 3 Occupied

More information

Minimum Bias Events at ATLAS

Minimum Bias Events at ATLAS Camille Bélanger-Champagne McGill University Lehman College City University of New York Thermodynamics Charged Particle and Statistical Correlations Mechanics in Minimum Bias Events at ATLAS Thermodynamics

More information

Thermodynamics Z. Suo PRESSURE

Thermodynamics  Z. Suo PRESSURE Thermodynamics http://imechanicaorg/node/288 Z Suo PESSUE We have developed a thermodynamic theory of (purely) thermal systems A thermal system has a single independent variable: energy The theory captures

More information

where R = universal gas constant R = PV/nT R = atm L mol R = atm dm 3 mol 1 K 1 R = J mol 1 K 1 (SI unit)

where R = universal gas constant R = PV/nT R = atm L mol R = atm dm 3 mol 1 K 1 R = J mol 1 K 1 (SI unit) Ideal Gas Law PV = nrt where R = universal gas constant R = PV/nT R = 0.0821 atm L mol 1 K 1 R = 0.0821 atm dm 3 mol 1 K 1 R = 8.314 J mol 1 K 1 (SI unit) Standard molar volume = 22.4 L mol 1 at 0 C and

More information

Outline Review Example Problem 1. Thermodynamics. Review and Example Problems: Part-2. X Bai. SDSMT, Physics. Fall 2014

Outline Review Example Problem 1. Thermodynamics. Review and Example Problems: Part-2. X Bai. SDSMT, Physics. Fall 2014 Review and Example Problems: Part- SDSMT, Physics Fall 014 1 Review Example Problem 1 Exponents of phase transformation : contents 1 Basic Concepts: Temperature, Work, Energy, Thermal systems, Ideal Gas,

More information

Statistical thermodynamics (mechanics)

Statistical thermodynamics (mechanics) Statistical thermodynamics mechanics) 1/15 Macroskopic quantities are a consequence of averaged behavior of many particles [tchem/simplyn.sh] 2/15 Pressure of ideal gas from kinetic theory I Molecule =

More information

Stuff 1st Law of Thermodynamics First Law Differential Form Total Differential Total Differential

Stuff 1st Law of Thermodynamics First Law Differential Form Total Differential Total Differential Stuff ---onight: Lecture 4 July ---Assignment has been posted. ---Presentation Assignment posted. --Some more thermodynamics and then problem solving in class for Assignment #. --Next week: Free Energy

More information

Lecture 4: Mechanical and Chemical Equilibrium In the Living Cell (Contd.)

Lecture 4: Mechanical and Chemical Equilibrium In the Living Cell (Contd.) Lecture 4: Mechanical and Chemical Equilibrium In the Living Cell (Contd.) Lecturer: Brigita Urbanc Office: 12-909 (E-mail: brigita@drexel.edu) Course website: www.physics.drexel.edu/~brigita/courses/biophys_2011-2012/

More information

Heat Engines and Refrigerators

Heat Engines and Refrigerators Lecture 26, Dec. 1 Goals: Chapter 19 Understand the relationship between work and heat in a cycling process Follow the physics of basic heat engines and refrigerators. Recognize some practical applications

More information

SPONTANEOUS PROCESSES AND THERMODYNAMIC EQUILIBRIUM

SPONTANEOUS PROCESSES AND THERMODYNAMIC EQUILIBRIUM 13 CHAPER SPONANEOUS PROCESSES AND HERMODYNAMIC EQUILIBRIUM 13.1 he Nature of Spontaneous Processes 13.2 Entropy and Spontaneity: A Molecular Statistical Interpretation 13.3 Entropy and Heat: Macroscopic

More information

du = δq + δw = δq rev + δw rev = δq rev + 0

du = δq + δw = δq rev + δw rev = δq rev + 0 Chem 4501 Introduction to hermodynamics, 3 Credits Kinetics, and Statistical Mechanics Module Number 6 Active Learning Answers and Optional Problems/Solutions 1. McQuarrie and Simon, 6-6. Paraphrase: Compute

More information

Mixtures. Partial Molar Quantities

Mixtures. Partial Molar Quantities CHEM 331 Physical Chemistry Fall 2017 Mixtures Our current discussion takes up some general results for systems that are mixtures and/or open. The former involve systems that contain multiple components;

More information

All Excuses must be taken to 233 Loomis before 4:15, Monday, May 1.

All Excuses must be taken to 233 Loomis before 4:15, Monday, May 1. Miscellaneous Notes The end is near don t get behind. All Excuses must be taken to 233 Loomis before 4:15, Monday, May 1. The PHYS 213 final exam times are * 8-10 AM, Monday, May 7 * 8-10 AM, Tuesday,

More information

The Kelvin-Planck statement of the second law

The Kelvin-Planck statement of the second law The Kelvin-Planck statement of the second law It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work Q W E =ΔE net net net, mass

More information

PHYSICS 715 COURSE NOTES WEEK 1

PHYSICS 715 COURSE NOTES WEEK 1 PHYSICS 715 COURSE NOTES WEEK 1 1 Thermodynamics 1.1 Introduction When we start to study physics, we learn about particle motion. First one particle, then two. It is dismaying to learn that the motion

More information

Last Name or Student ID

Last Name or Student ID 10/06/08, Chem433 Exam # 1 Last Name or Student ID 1. (3 pts) 2. (3 pts) 3. (3 pts) 4. (2 pts) 5. (2 pts) 6. (2 pts) 7. (2 pts) 8. (2 pts) 9. (6 pts) 10. (5 pts) 11. (6 pts) 12. (12 pts) 13. (22 pts) 14.

More information

NAME and Section No. b). A refrigerator is a Carnot cycle run backwards. That is, heat is now withdrawn from the cold reservoir at T cold

NAME and Section No. b). A refrigerator is a Carnot cycle run backwards. That is, heat is now withdrawn from the cold reservoir at T cold Chemistry 391 Fall 007 Exam II KEY 1. (30 Points) ***Do 5 out of 7***(If 6 or 7 are done only the first 5 will be graded)*** a). How does the efficiency of a reversible engine compare with that of an irreversible

More information

Classical Physics I. PHY131 Lecture 36 Entropy and the Second Law of Thermodynamics. Lecture 36 1

Classical Physics I. PHY131 Lecture 36 Entropy and the Second Law of Thermodynamics. Lecture 36 1 Classical Physics I PHY131 Lecture 36 Entropy and the Second Law of Thermodynamics Lecture 36 1 Recap: (Ir)reversible( Processes Reversible processes are processes that occur under quasi-equilibrium conditions:

More information

PHYS First Midterm SOLUTIONS

PHYS First Midterm SOLUTIONS PHYS 430 - First Midterm SOLUIONS 1. Comment on the following concepts (Just writing equations will not gain you any points): (3 points each, 21 points total) (a) Negative emperatures emperature is a measure

More information

3.20 Exam 1 Fall 2003 SOLUTIONS

3.20 Exam 1 Fall 2003 SOLUTIONS 3.0 Exam 1 Fall 003 SOLUIONS Question 1 You need to decide whether to work at constant volume or constant pressure. Since F is given, a natural choice is constant volume. Option 1: At constant and V :

More information

Outline. Property diagrams involving entropy. Heat transfer for internally reversible process

Outline. Property diagrams involving entropy. Heat transfer for internally reversible process Outline roperty diagrams involving entropy What is entropy? T-ds relations Entropy change of substances ure substances (near wet dome) Solids and liquids Ideal gases roperty diagrams involving entropy

More information

2. Under conditions of constant pressure and entropy, what thermodynamic state function reaches an extremum? i

2. Under conditions of constant pressure and entropy, what thermodynamic state function reaches an extremum? i 1. (20 oints) For each statement or question in the left column, find the appropriate response in the right column and place the letter of the response in the blank line provided in the left column. 1.

More information

Details on the Carnot Cycle

Details on the Carnot Cycle Details on the Carnot Cycle he isothermal expansion (ab) and compression (cd): 0 ( is constant and U() is a function U isothermal of only for an Ideal Gas.) V b QH Wab nrh ln Va (ab : isothermal expansion)

More information

Lecture 20. The Chemical Potential

Lecture 20. The Chemical Potential MIT 3.00 Fall 2002 c W.C Carter 135 Last Time Internal Degrees of Freedom Lecture 20 The Chemical Potential At constant P, T : G, which represents the internal degrees of freedom, is minimized. The Chemical

More information

140a Final Exam, Fall 2007., κ T 1 V P. (? = P or V ), γ C P C V H = U + PV, F = U TS G = U + PV TS. T v. v 2 v 1. exp( 2πkT.

140a Final Exam, Fall 2007., κ T 1 V P. (? = P or V ), γ C P C V H = U + PV, F = U TS G = U + PV TS. T v. v 2 v 1. exp( 2πkT. 4a Final Exam, Fall 27 Data: P 5 Pa, R = 8.34 3 J/kmol K = N A k, N A = 6.2 26 particles/kilomole, T C = T K 273.5. du = TdS PdV + i µ i dn i, U = TS PV + i µ i N i Defs: 2 β ( ) V V T ( ) /dq C? dt P?

More information

Study Guide Thermodynamics 2, 2018/2019

Study Guide Thermodynamics 2, 2018/2019 Literature Study Guide Thermodynamics 2, 2018/2019 Hugo Meekes Solid State Chemistry HG03.625; 53200 Hugo.Meekes@science.ru.nl Book: hysical Chemistry;.W. Atkins.; edition 11, 10, 9 or 8, Oxford University

More information