Statistical thermodynamics Lectures 7, 8

Size: px
Start display at page:

Download "Statistical thermodynamics Lectures 7, 8"

Transcription

1 Statistical thermodynamics Lectures 7, 8 Quantum Classical Energy levels Bulk properties Various forms of energies. Everything turns out to be controlled by temperature CY1001 T. Pradeep Ref. Atkins 9 th edition Alberty, Silbey, Bawendi 4 th edition

2 Need for statistical thermodynamics Microscopic and macroscopic world Energy states Distribution of energy - population Principle of equal a priori probabilities ε 0 Reference to zero Configuration - instantaneous n 1, n 2, molecules exist in states with energies ε 0, ε 1, N is the total number of molecules {N,0,0, } and {N-2, 2,0, } are configurations Second is more likely than the first Fluctuations occur {1,1}, {2,0}, {0,2} Weight of a configuration = how many times the configuration can be reached.

3 Energy Generalized picture of weight A configuration {N-2,2,0,0, } First ball of the higher state can be chosen in N ways, because there are N balls Second ball can be chosen in N-1 ways as there are N-1 balls But we need to avoid A,B from B,A. Thus total number of distinguishable configurations is, ½ [N(N-1)] A configuration {3,2,0,0,..} is chosen in 10 different ways - weight of a configuration How about a general case of N particles? {n 0,n 1,..} configuration of N particles. Distinct ways, W = N! n 0!n 1!n 2!... N! ways of selecting balls (first ball N, second (N-1), etc.) n 0! ways of choosing balls in the first level. n 1! for the second, etc. W is the weight of the configuration. How many ways a configuration can be achieved.

4 Better to use natural logarithm ln W = ln N! n 0! n 1! n 2!... = ln N!- ln(n 0! n 1! n 2!..) =ln N! -(ln n 0! +ln n 1! +ln n 2! +...) =ln N! -Σ i ln n i! ln x! x ln x-x Stirling s approximation ln W = (N ln N - N) - Σ i (n i ln n i n i ) = N ln N Σ i n i ln n i We have used, Σ i n i = N

5 Which is the dominating configuration having maximum weight? Generalized approach is to set dw = 0 There are problems as any configuration is not valid. 1. Energy is constant. Σ i N i ε i = E 2. Constant number of molecules. Σ i N i = N W N i Populations in the configuration of greatest weight depends on the energy of the state. N i N = e -βε i Σ i e -βε i β = 1 kt Boltzmann distribution i is a sum over available states Temperature gives the most probable populations

6 Boltzmann distribution population, p i = e -βε i q Molecular partition function Another form of q: Look at limiting cases q =Σ i e -βε i q =Σ levels l g l e -βε i lim T 0 q = g 0 lim T = When number of states is finite, we will not get. There are several ways of looking at i How to look at partition functions? 1. Partition function is the number of available states. 2. Partition function is the number of thermally accessible states. 3. How molecules are partitioned into available states. How to look at thermodynamic properties? Because, ε 0 = 0 For all higher levels ε is finite. e -βε =1. Because, e -x is 0 when x is. All terms will reduce to 1. e -x is 1 when x is 0

7 Evaluation of molecular partition function 1 + x + x 2 + x 3 +.= 1/(1-x) q = 1 + e βε + e 2βε + e 3βε + = 1 + e βε + (e βε ) 2 + (e βε ) 2 + =1/(1- e βε ) 2ε ε 0 ε Fraction of molecules in energy levels is, p i = e βε i /q = (1- e βε ) e βε i Discussion of figure, next slide For a two level system, p p o = 1/(1 + e βε ) p 1 = e βε /q = e βε / (1+ e βε ) As T à, both p o and p 1 go to ½. Consequences?

8 Low temperature High temperature

9 Approximations: Partition functions are often complex. Analytical expressions cannot be obtained in several cases. Approximations become very useful. For example, partition function for one dimensional motion E n = n 2 h 2 ε n = (n 2-1)ε 8 mx 2 n =1,2. ε = h2 8mX 2 q x = Σ n=1 e -(n 2-1)βε Lowest energy level has an energy of h 2 8mX 2 Energy with respect to this level is, q x = 1 e -(n 2-1)βε dn energy levels are close, sum becomes an integral No big difference, if we take the lower limit to 0 and replace n 2-1 to n 2. q x = 1 1/2 1/2 βε 0 e -x 2 dx = 1 1/2 βε 2 = 2 1/2 m X h 2 β Substitute, x 2 = n 2 βε, meaning dn = dx/(βε) 1/2 q x = 2 m h 2 β 1/2 X Substitute for ε

10 Independent motion in three dimensions ε n1n2n3 = ε n1 (X) + ε n2 (Y) +ε n3 (Z) Energy is a sum of independent terms q =Σ all n e βε(x) n1 βε(y) n2 -βε(z) n3 = Σ n1 e- βε(x) n1 Σ n2 e -βε(y) n2 Σ n3 e -βε(z) n3 = q x q y q z 3/2 q = 2 m h 2 β XYZ q = V Ʌ 3 Ʌ = h β 1/2 2 m = h (2 mkt) 1/2 Ʌ has dimensions of length, thermal wavelength J =kg m -2 s -2 Question: How many more quantum states will be accessible for 18 O 2 compared to 16 O 2, if it were to be confined in a box of 1 cm 3?

11 How to get thermodynamics? All information about the thermodynamic properties of the system is contained in the partition function. Thermal wavefunction. Total energy We know, E = Σ i n i ε i E = N q Σ i ε i e-βεi ε i e βεi = - d dβ e-βεi Most probable configuration is dominating. We use Boltzmann distribution. E = - N q Σ i d dβ U = U(0) + E e βεi = - N q U = U(0)- N q q β v U = U(0)- N lnq β d dβ Σ N dq i e-βεi = q dβ 1. All E s are relative E is the value of U relative to T = 0. v 2. Derivative w.r.t. β is partial as there are other parameters (such as V) on which energy depends on. Partition function gives internal energy of the system.

12 How to get entropy? For a process, change in internal energy, U = U(0) + E U = U(0) + Σ i n i ε i Internal energy changes occur due to change in populations (N i + dn i ) or energy states (ε i + dε i ). Consider a general case: For constant volume changes, du = Σ i ε i dn i du = du(0) + Σ i N i dε i + Σ i ε i dn i du = dq rev = TdS ds = du/t = k β Σ i ε i dn i ds = k Σ i ( lnw/ N i ) dn i + kασ i dn i β ε i = ( lnw/ N i ) + α Number of molecules do not change. Second term is zero. ds = k Σ i ( lnw/ N i ) dn i = k (dlnw) S = klnw From the derivation of Boltzmann distribution α and β are constants This can be rewritten (after some manipulations) to S(T) = [U(T) - U(0)]/T + Nk ln q

Statistical thermodynamics Lectures 7, 8

Statistical thermodynamics Lectures 7, 8 Statistical thermodynamics Lectures 7, 8 Quantum classical Energy levels Bulk properties Various forms of energies. Everything turns out to be controlled by temperature CY1001 T. Pradeep Ref. Atkins 7

More information

Statistical thermodynamics L1-L3. Lectures 11, 12, 13 of CY101

Statistical thermodynamics L1-L3. Lectures 11, 12, 13 of CY101 Statistical thermodynamics L1-L3 Lectures 11, 12, 13 of CY101 Need for statistical thermodynamics Microscopic and macroscopic world Distribution of energy - population Principle of equal a priori probabilities

More information

Atkins / Paula Physical Chemistry, 8th Edition. Chapter 16. Statistical thermodynamics 1: the concepts

Atkins / Paula Physical Chemistry, 8th Edition. Chapter 16. Statistical thermodynamics 1: the concepts Atkins / Paula Physical Chemistry, 8th Edition Chapter 16. Statistical thermodynamics 1: the concepts The distribution of molecular states 16.1 Configurations and weights 16.2 The molecular partition function

More information

Statistical. mechanics

Statistical. mechanics CHAPTER 15 Statistical Thermodynamics 1: The Concepts I. Introduction. A. Statistical mechanics is the bridge between microscopic and macroscopic world descriptions of nature. Statistical mechanics macroscopic

More information

The Lowest Temperature Of An Einstein Solid Is Positive

The Lowest Temperature Of An Einstein Solid Is Positive The Lowest Temperature Of An Einstein Solid Is Positive W. C. Troy The Lowest Temperature Of An Einstein Solid Is Positive p.1/20 The Question. Can a solid be cooled to a temperature T 0 > 0 where all

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

Lecture 14. Entropy relationship to heat

Lecture 14. Entropy relationship to heat Lecture 14 Entropy relationship to heat Reading: Lecture 14, today: Chapter 7: 7.20 end Lecture 15, Wednesday: Ref. (2) 2/29/16 1 Hemoglobin and probability Oxygen binding molecule. Its quaternary structure

More information

The Partition Function Statistical Thermodynamics. NC State University

The Partition Function Statistical Thermodynamics. NC State University Chemistry 431 Lecture 4 The Partition Function Statistical Thermodynamics NC State University Molecular Partition Functions In general, g j is the degeneracy, ε j is the energy: = j q g e βε j We assume

More information

5.60 Thermodynamics & Kinetics Spring 2008

5.60 Thermodynamics & Kinetics Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 5.60 Thermodynamics & Kinetics Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.60 Spring 2008 Lecture

More information

Lecture 13. Multiplicity and statistical definition of entropy

Lecture 13. Multiplicity and statistical definition of entropy Lecture 13 Multiplicity and statistical definition of entropy Readings: Lecture 13, today: Chapter 7: 7.1 7.19 Lecture 14, Monday: Chapter 7: 7.20 - end 2/26/16 1 Today s Goals Concept of entropy from

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

5.62 Physical Chemistry II Spring 2008

5.62 Physical Chemistry II Spring 2008 MIT OpenCourseWare http://ocw.mit.edu 5.62 Physical Chemistry II Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.62 Lecture #9: CALCULATION

More information

Lecture 2: Intro. Statistical Mechanics

Lecture 2: Intro. Statistical Mechanics Lecture 2: Intro. Statistical Mechanics Statistical mechanics: concepts Aims: A microscopic view of entropy: Joule expansion reviewed. Boltzmann s postulate. S k ln g. Methods: Calculating arrangements;

More information

Entropy and Free Energy in Biology

Entropy and Free Energy in Biology Entropy and Free Energy in Biology Energy vs. length from Phillips, Quake. Physics Today. 59:38-43, 2006. kt = 0.6 kcal/mol = 2.5 kj/mol = 25 mev typical protein typical cell Thermal effects = deterministic

More information

Exam 2, Chemistry 481, 4 November 2016

Exam 2, Chemistry 481, 4 November 2016 1 Exam, Chemistry 481, 4 November 016 Show all work for full credit Useful constants: h = 6.66 10 34 J s; c (speed of light) =.998 10 8 m s 1 k B = 1.3807 10 3 J K 1 ; R (molar gas constant) = 8.314 J

More information

Solid Thermodynamics (1)

Solid Thermodynamics (1) Solid Thermodynamics (1) Class notes based on MIT OCW by KAN K.A.Nelson and MB M.Bawendi Statistical Mechanics 2 1. Mathematics 1.1. Permutation: - Distinguishable balls (numbers on the surface of the

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

Minimum Bias Events at ATLAS

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

More information

a. 4.2x10-4 m 3 b. 5.5x10-4 m 3 c. 1.2x10-4 m 3 d. 1.4x10-5 m 3 e. 8.8x10-5 m 3

a. 4.2x10-4 m 3 b. 5.5x10-4 m 3 c. 1.2x10-4 m 3 d. 1.4x10-5 m 3 e. 8.8x10-5 m 3 The following two problems refer to this situation: #1 A cylindrical chamber containing an ideal diatomic gas is sealed by a movable piston with cross-sectional area A = 0.0015 m 2. The volume of the chamber

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

Entropy and Free Energy in Biology

Entropy and Free Energy in Biology Entropy and Free Energy in Biology Energy vs. length from Phillips, Quake. Physics Today. 59:38-43, 2006. kt = 0.6 kcal/mol = 2.5 kj/mol = 25 mev typical protein typical cell Thermal effects = deterministic

More information

Physics 172H Modern Mechanics

Physics 172H Modern Mechanics Physics 172H Modern Mechanics Instructor: Dr. Mark Haugan Office: PHYS 282 haugan@purdue.edu TAs: Alex Kryzwda John Lorenz akryzwda@purdue.edu jdlorenz@purdue.edu Lecture 22: Matter & Interactions, Ch.

More information

Advanced Thermodynamics. Jussi Eloranta (Updated: January 22, 2018)

Advanced Thermodynamics. Jussi Eloranta (Updated: January 22, 2018) Advanced Thermodynamics Jussi Eloranta (jmeloranta@gmail.com) (Updated: January 22, 2018) Chapter 1: The machinery of statistical thermodynamics A statistical model that can be derived exactly from the

More information

Irreversible Processes

Irreversible Processes Irreversible Processes Examples: Block sliding on table comes to rest due to friction: KE converted to heat. Heat flows from hot object to cold object. Air flows into an evacuated chamber. Reverse process

More information

First Law Limitations

First Law Limitations First Law Limitations First Law: During any process, the energy of the universe is constant. du du du ZERO!!! universe sys surroundings Any energy transfer between system and surroundings is accomplished

More information

Introduction. Statistical physics: microscopic foundation of thermodynamics degrees of freedom 2 3 state variables!

Introduction. Statistical physics: microscopic foundation of thermodynamics degrees of freedom 2 3 state variables! Introduction Thermodynamics: phenomenological description of equilibrium bulk properties of matter in terms of only a few state variables and thermodynamical laws. Statistical physics: microscopic foundation

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

Homework Week The figure below depicts the isothermal compression of an ideal gas. isothermal du=0. δq rev = δw rev = P dv

Homework Week The figure below depicts the isothermal compression of an ideal gas. isothermal du=0. δq rev = δw rev = P dv Statistical Molecular hermodynamics University of Minnesota Homework Week 6 1. he figure below depicts the isothermal compression of an ideal gas. Start from the First and Second Laws of thermodynamics

More information

UNIVERSITY OF SOUTHAMPTON

UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON PHYS2024W1 SEMESTER 2 EXAMINATION 2011/12 Quantum Physics of Matter Duration: 120 MINS VERY IMPORTANT NOTE Section A answers MUST BE in a separate blue answer book. If any blue

More information

The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq

The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq Chapter. The microcanonical ensemble The goal of equilibrium statistical mechanics is to calculate the diagonal elements of ˆρ eq so we can evaluate average observables < A >= Tr{Â ˆρ eq } = A that give

More information

although Boltzmann used W instead of Ω for the number of available states.

although Boltzmann used W instead of Ω for the number of available states. Lecture #13 1 Lecture 13 Obectives: 1. Ensembles: Be able to list the characteristics of the following: (a) icrocanonical (b) Canonical (c) Grand Canonical 2. Be able to use Lagrange s method of undetermined

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

Monatomic ideal gas: partition functions and equation of state.

Monatomic ideal gas: partition functions and equation of state. Monatomic ideal gas: partition functions and equation of state. Peter Košovan peter.kosovan@natur.cuni.cz Dept. of Physical and Macromolecular Chemistry Statistical Thermodynamics, MC260P105, Lecture 3,

More information

Lecture Notes 2014March 13 on Thermodynamics A. First Law: based upon conservation of energy

Lecture Notes 2014March 13 on Thermodynamics A. First Law: based upon conservation of energy Dr. W. Pezzaglia Physics 8C, Spring 2014 Page 1 Lecture Notes 2014March 13 on Thermodynamics A. First Law: based upon conservation of energy 1. Work 1 Dr. W. Pezzaglia Physics 8C, Spring 2014 Page 2 (c)

More information

Physics is time symmetric Nature is not

Physics is time symmetric Nature is not Fundamental theories of physics don t depend on the direction of time Newtonian Physics Electromagnetism Relativity Quantum Mechanics Physics is time symmetric Nature is not II law of thermodynamics -

More information

+ kt φ P N lnφ + φ lnφ

+ kt φ P N lnφ + φ lnφ 3.01 practice problems thermo solutions 3.01 Issued: 1.08.04 Fall 004 Not due THERODYNAICS 1. Flory-Huggins Theory. We introduced a simple lattice model for polymer solutions in lectures 4 and 5. The Flory-Huggins

More information

Statistical Mechanics Notes. Ryan D. Reece

Statistical Mechanics Notes. Ryan D. Reece Statistical Mechanics Notes Ryan D. Reece August 11, 2006 Contents 1 Thermodynamics 3 1.1 State Variables.......................... 3 1.2 Inexact Differentials....................... 5 1.3 Work and Heat..........................

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

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

Problem Set 4 Solutions 3.20 MIT Dr. Anton Van Der Ven Fall 2002

Problem Set 4 Solutions 3.20 MIT Dr. Anton Van Der Ven Fall 2002 Problem Set 4 Solutions 3.20 MIT Dr. Anton Van Der Ven Fall 2002 Problem -22 For this problem we need the formula given in class (Mcuarie -33) for the energy states of a particle in an three-dimensional

More information

9.1 System in contact with a heat reservoir

9.1 System in contact with a heat reservoir Chapter 9 Canonical ensemble 9. System in contact with a heat reservoir We consider a small system A characterized by E, V and N in thermal interaction with a heat reservoir A 2 characterized by E 2, V

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

to satisfy the large number approximations, W W sys can be small.

to satisfy the large number approximations, W W sys can be small. Chapter 12. The canonical ensemble To discuss systems at constant T, we need to embed them with a diathermal wall in a heat bath. Note that only the system and bath need to be large for W tot and W bath

More information

Chapter 20 Entropy and the 2nd Law of Thermodynamics

Chapter 20 Entropy and the 2nd Law of Thermodynamics Chapter 20 Entropy and the 2nd Law of Thermodynamics A one-way processes are processes that can occur only in a certain sequence and never in the reverse sequence, like time. these one-way processes are

More information

Statistical Mechanics and Information Theory

Statistical Mechanics and Information Theory 1 Multi-User Information Theory 2 Oct 31, 2013 Statistical Mechanics and Information Theory Lecturer: Dror Vinkler Scribe: Dror Vinkler I. INTRODUCTION TO STATISTICAL MECHANICS In order to see the need

More information

Heat Capacities, Absolute Zero, and the Third Law

Heat Capacities, Absolute Zero, and the Third Law Heat Capacities, Absolute Zero, and the hird Law We have already noted that heat capacity and entropy have the same units. We will explore further the relationship between heat capacity and entropy. We

More information

Potential Descending Principle, Dynamic Law of Physical Motion and Statistical Theory of Heat

Potential Descending Principle, Dynamic Law of Physical Motion and Statistical Theory of Heat Potential Descending Principle, Dynamic Law of Physical Motion and Statistical Theory of Heat Tian Ma and Shouhong Wang Supported in part by NSF, ONR and Chinese NSF http://www.indiana.edu/ fluid Outline

More information

Physics 607 Final Exam

Physics 607 Final Exam Physics 67 Final Exam Please be well-organized, and show all significant steps clearly in all problems. You are graded on your work, so please do not just write down answers with no explanation! Do all

More information

Summer Lecture Notes Thermodynamics: Fundamental Relation, Parameters, and Maxwell Relations

Summer Lecture Notes Thermodynamics: Fundamental Relation, Parameters, and Maxwell Relations Summer Lecture Notes Thermodynamics: Fundamental Relation, Parameters, and Maxwell Relations Andrew Forrester August 4, 2006 1 The Fundamental (Difference or Differential) Relation of Thermodynamics 1

More information

Adiabatic Expansion (DQ = 0)

Adiabatic Expansion (DQ = 0) Adiabatic Expansion (DQ = 0) Occurs if: change is made sufficiently quickly and/or with good thermal isolation. Governing formula: PV g = constant where g = C P /C V Adiabat P Isotherms V Because PV/T

More information

ChE 210B: Advanced Topics in Equilibrium Statistical Mechanics

ChE 210B: Advanced Topics in Equilibrium Statistical Mechanics ChE 210B: Advanced Topics in Equilibrium Statistical Mechanics Glenn Fredrickson Lecture 1 Reading: 3.1-3.5 Chandler, Chapters 1 and 2 McQuarrie This course builds on the elementary concepts of statistical

More information

Physics 4311 ANSWERS: Sample Problems for Exam #2. (1)Short answer questions:

Physics 4311 ANSWERS: Sample Problems for Exam #2. (1)Short answer questions: (1)Short answer questions: Physics 4311 ANSWERS: Sample Problems for Exam #2 (a) Consider an isolated system that consists of several subsystems interacting thermally and mechanically with each other.

More information

Entropy. Physics 1425 Lecture 36. Michael Fowler, UVa

Entropy. Physics 1425 Lecture 36. Michael Fowler, UVa Entropy Physics 1425 Lecture 36 Michael Fowler, UVa First and Second Laws of A quick review. Thermodynamics First Law: total energy conserved in any process: joules in = joules out Second Law: heat only

More information

We already came across a form of indistinguishably in the canonical partition function: V N Q =

We already came across a form of indistinguishably in the canonical partition function: V N Q = Bosons en fermions Indistinguishability We already came across a form of indistinguishably in the canonical partition function: for distinguishable particles Q = Λ 3N βe p r, r 2,..., r N ))dτ dτ 2...

More information

Definite Integral and the Gibbs Paradox

Definite Integral and the Gibbs Paradox Acta Polytechnica Hungarica ol. 8, No. 4, 0 Definite Integral and the Gibbs Paradox TianZhi Shi College of Physics, Electronics and Electrical Engineering, HuaiYin Normal University, HuaiAn, JiangSu, China,

More information

11.6: Ratio and Root Tests Page 1. absolutely convergent, conditionally convergent, or divergent?

11.6: Ratio and Root Tests Page 1. absolutely convergent, conditionally convergent, or divergent? .6: Ratio and Root Tests Page Questions ( 3) n n 3 ( 3) n ( ) n 5 + n ( ) n e n ( ) n+ n2 2 n Example Show that ( ) n n ln n ( n 2 ) n + 2n 2 + converges for all x. Deduce that = 0 for all x. Solutions

More information

Contents. 1 Introduction and guide for this text 1. 2 Equilibrium and entropy 6. 3 Energy and how the microscopic world works 21

Contents. 1 Introduction and guide for this text 1. 2 Equilibrium and entropy 6. 3 Energy and how the microscopic world works 21 Preface Reference tables Table A Counting and combinatorics formulae Table B Useful integrals, expansions, and approximations Table C Extensive thermodynamic potentials Table D Intensive per-particle thermodynamic

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

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

Recitation: 10 11/06/03

Recitation: 10 11/06/03 Recitation: 10 11/06/03 Ensembles and Relation to T.D. It is possible to expand both sides of the equation with F = kt lnq Q = e βe i If we expand both sides of this equation, we apparently obtain: i F

More information

Chapter 4: Going from microcanonical to canonical ensemble, from energy to temperature.

Chapter 4: Going from microcanonical to canonical ensemble, from energy to temperature. Chapter 4: Going from microcanonical to canonical ensemble, from energy to temperature. All calculations in statistical mechanics can be done in the microcanonical ensemble, where all copies of the system

More information

Entropy Changes & Processes

Entropy Changes & Processes Entropy Changes & Processes Chapter 4 of Atkins: The Second Law: The Concepts Section 4.4-4.7 Third Law of Thermodynamics Nernst Heat Theorem Third- Law Entropies Reaching Very Low Temperatures Helmholtz

More information

L11.P1 Lecture 11. Quantum statistical mechanics: summary

L11.P1 Lecture 11. Quantum statistical mechanics: summary Lecture 11 Page 1 L11.P1 Lecture 11 Quantum statistical mechanics: summary At absolute zero temperature, a physical system occupies the lowest possible energy configuration. When the temperature increases,

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

rate of reaction forward conc. reverse time P time Chemical Equilibrium Introduction Dynamic Equilibrium Dynamic Equilibrium + RT ln f p

rate of reaction forward conc. reverse time P time Chemical Equilibrium Introduction Dynamic Equilibrium Dynamic Equilibrium + RT ln f p Chemical Equilibrium Chapter 9 of Atkins: Sections 9.1-9.2 Spontaneous Chemical Reactions The Gibbs Energy Minimum The reaction Gibbs energy Exergonic and endergonic reactions The Description of Equilibrium

More information

Chemistry. Lecture 10 Maxwell Relations. NC State University

Chemistry. Lecture 10 Maxwell Relations. NC State University Chemistry Lecture 10 Maxwell Relations NC State University Thermodynamic state functions expressed in differential form We have seen that the internal energy is conserved and depends on mechanical (dw)

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 (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

CY1001 BASIC CONCEPTS

CY1001 BASIC CONCEPTS CY1001 BASIC CONCES Lecture 1. radeep 22574208 pradeep@iitm.ac.in Atomists and ionists 9/6/2010 1 1. Chemical thermodynamics 2. Statistical thermodynamics 3. Kinetics 4. Surface science Books: 1. G. W.

More information

UNIVERSITY OF SOUTHAMPTON

UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON PHYS1013W1 SEMESTER 2 EXAMINATION 2014-2015 ENERGY AND MATTER Duration: 120 MINS (2 hours) This paper contains 8 questions. Answers to Section A and Section B must be in separate

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

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

Low Temperature Properties of the Bose-Einstein and Fermi-Dirac Equations

Low Temperature Properties of the Bose-Einstein and Fermi-Dirac Equations Low Temperature Properties of the Bose-Einstein and Fermi-Dirac Equations W. C. Troy Low Temperature Properties of the Bose-Einstein and Fermi-Dirac Equations p.1/46 Contents 1. The Models. 2. Einstein

More information

Rate of Heating and Cooling

Rate of Heating and Cooling Rate of Heating and Cooling 35 T [ o C] Example: Heating and cooling of Water E 30 Cooling S 25 Heating exponential decay 20 0 100 200 300 400 t [sec] Newton s Law of Cooling T S > T E : System S cools

More information

Introduction. Chapter The Purpose of Statistical Mechanics

Introduction. Chapter The Purpose of Statistical Mechanics Chapter 1 Introduction 1.1 The Purpose of Statistical Mechanics Statistical Mechanics is the mechanics developed to treat a collection of a large number of atoms or particles. Such a collection is, for

More information

Lecture 3 Clausius Inequality

Lecture 3 Clausius Inequality Lecture 3 Clausius Inequality Rudolf Julius Emanuel Clausius 2 January 1822 24 August 1888 Defined Entropy Greek, en+tropein content transformative or transformation content The energy of the universe

More information

Rubber elasticity. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. February 21, 2009

Rubber elasticity. Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge. February 21, 2009 Rubber elasticity Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge February 21, 2009 A rubber is a material that can undergo large deformations e.g. stretching to five

More information

3. RATE LAW AND STOICHIOMETRY

3. RATE LAW AND STOICHIOMETRY Page 1 of 39 3. RATE LAW AND STOICHIOMETRY Professional Reference Shelf R3.2 Abbreviated Lecture Notes Full Lecture Notes I. Overview II. Introduction A. The Transition State B. Procedure to Calculate

More information

2 Equations of Motion

2 Equations of Motion 2 Equations of Motion system. In this section, we will derive the six full equations of motion in a non-rotating, Cartesian coordinate 2.1 Six equations of motion (non-rotating, Cartesian coordinates)

More information

Physics 576 Stellar Astrophysics Prof. James Buckley. Lecture 14 Relativistic Quantum Mechanics and Quantum Statistics

Physics 576 Stellar Astrophysics Prof. James Buckley. Lecture 14 Relativistic Quantum Mechanics and Quantum Statistics Physics 576 Stellar Astrophysics Prof. James Buckley Lecture 14 Relativistic Quantum Mechanics and Quantum Statistics Reading/Homework Assignment Read chapter 3 in Rose. Midterm Exam, April 5 (take home)

More information

Atkins / Paula Physical Chemistry, 8th Edition. Chapter 3. The Second Law

Atkins / Paula Physical Chemistry, 8th Edition. Chapter 3. The Second Law Atkins / Paula Physical Chemistry, 8th Edition Chapter 3. The Second Law The direction of spontaneous change 3.1 The dispersal of energy 3.2 Entropy 3.3 Entropy changes accompanying specific processes

More information

IV. Classical Statistical Mechanics

IV. Classical Statistical Mechanics IV. Classical Statistical Mechanics IV.A General Definitions Statistical Mechanics is a probabilistic approach to equilibrium macroscopic properties of large numbers of degrees of freedom. As discussed

More information

Thermodynamics and Statistical Physics Exam

Thermodynamics and Statistical Physics Exam Thermodynamics and Statistical Physics Exam You may use your textbook (Thermal Physics by Schroeder) and a calculator. 1. Short questions. No calculation needed. (a) Two rooms A and B in a building are

More information

Thermal and Statistical Physics Department Exam Last updated November 4, L π

Thermal and Statistical Physics Department Exam Last updated November 4, L π Thermal and Statistical Physics Department Exam Last updated November 4, 013 1. a. Define the chemical potential µ. Show that two systems are in diffusive equilibrium if µ 1 =µ. You may start with F =

More information

Temperature and Heat. Ken Intriligator s week 4 lectures, Oct 21, 2013

Temperature and Heat. Ken Intriligator s week 4 lectures, Oct 21, 2013 Temperature and Heat Ken Intriligator s week 4 lectures, Oct 21, 2013 This week s subjects: Temperature and Heat chapter of text. All sections. Thermal properties of Matter chapter. Omit the section there

More information

General Physical Chemistry I

General Physical Chemistry I General Physical Chemistry I Lecture 11 Aleksey Kocherzhenko March 12, 2015" Last time " W Entropy" Let be the number of microscopic configurations that correspond to the same macroscopic state" Ø Entropy

More information

Exam TFY4230 Statistical Physics kl Wednesday 01. June 2016

Exam TFY4230 Statistical Physics kl Wednesday 01. June 2016 TFY423 1. June 216 Side 1 av 5 Exam TFY423 Statistical Physics l 9. - 13. Wednesday 1. June 216 Problem 1. Ising ring (Points: 1+1+1 = 3) A system of Ising spins σ i = ±1 on a ring with periodic boundary

More information

The First Law of Thermodynamics

The First Law of Thermodynamics Chapter 9 The First Law of Thermodynamics Topics for Chapter 9 I. First Law of Thermodynamics Internal energy, concept of state variables Difference between Work and Heat II. Examine various types of thermodynamic

More information

Today. Work, Energy, Power loose ends Temperature Second Law of Thermodynamics

Today. Work, Energy, Power loose ends Temperature Second Law of Thermodynamics Today Announcements: HW#5 is due by 8:00 am Wed. Feb. 5th. Extra Credit Exam due by Tomorrow 8am. Work, Energy, Power loose ends Temperature Second Law of Thermodynamics ISP09s9 Lecture 11-1- Energy and

More information

SCORING. The exam consists of 5 questions totaling 100 points as broken down in this table:

SCORING. The exam consists of 5 questions totaling 100 points as broken down in this table: UNIVERSITY OF CALIFORNIA, BERKELEY CHEM C130/MCB C100A MIDTERM EXAMINATION #2 OCTOBER 20, 2016 INSTRUCTORS: John Kuriyan and David Savage THE TIME LIMIT FOR THIS EXAMINATION: 1 HOUR 50 MINUTES SIGNATURE:

More information

Chapter 3. The Second Law Fall Semester Physical Chemistry 1 (CHM2201)

Chapter 3. The Second Law Fall Semester Physical Chemistry 1 (CHM2201) Chapter 3. The Second Law 2011 Fall Semester Physical Chemistry 1 (CHM2201) Contents The direction of spontaneous change 3.1 The dispersal of energy 3.2 The entropy 3.3 Entropy changes accompanying specific

More information

Thermodynamics: Chapter 02 The Second Law of Thermodynamics: Microscopic Foundation of Thermodynamics. September 10, 2013

Thermodynamics: Chapter 02 The Second Law of Thermodynamics: Microscopic Foundation of Thermodynamics. September 10, 2013 Thermodynamics: Chapter 02 The Second Law of Thermodynamics: Microscopic Foundation of Thermodynamics September 10, 2013 We have talked about some basic concepts in thermodynamics, T, W, Q, C,.... Some

More information

Lecture 27: Entropy and Information Prof. WAN, Xin

Lecture 27: Entropy and Information Prof. WAN, Xin General Physics I Lecture 27: Entropy and Information Prof. WAN, Xin xinwan@zju.edu.cn http://zimp.zju.edu.cn/~xinwan/ 1st & 2nd Laws of Thermodynamics The 1st law specifies that we cannot get more energy

More information

Homework Hint. Last Time

Homework Hint. Last Time Homework Hint Problem 3.3 Geometric series: ωs τ ħ e s= 0 =? a n ar = For 0< r < 1 n= 0 1 r ωs τ ħ e s= 0 1 = 1 e ħω τ Last Time Boltzmann factor Partition Function Heat Capacity The magic of the partition

More information

Lecture 8. The Second Law of Thermodynamics; Energy Exchange

Lecture 8. The Second Law of Thermodynamics; Energy Exchange Lecture 8 The Second Law of Thermodynamics; Energy Exchange The second law of thermodynamics Statistics of energy exchange General definition of temperature Why heat flows from hot to cold Reading for

More information

CY1001 BASIC CONCEPTS

CY1001 BASIC CONCEPTS CY1001 BASIC CONCES Lecture 1. radeep 22574208 pradeep@iitm.ac.in Atomists and ionists 9/19/2013 1 1. Chemical thermodynamics 2. Statistical thermodynamics 3. Kinetics 4. Surface science Books: 1. Kuhn

More information

Final Exam, Chemistry 481, 77 December 2016

Final Exam, Chemistry 481, 77 December 2016 1 Final Exam, Chemistry 481, 77 December 216 Show all work for full credit Useful constants: h = 6.626 1 34 J s; c (speed of light) = 2.998 1 8 m s 1 k B = 1.387 1 23 J K 1 ; R (molar gas constant) = 8.314

More information

The Third Law. NC State University

The Third Law. NC State University Chemistry 433 Lecture 12 The Third Law NC State University The Third Law of Thermodynamics The third law of thermodynamics states that every substance has a positive entropy, but at zero Kelvin the entropy

More information

The Direction of Spontaneous Change: Entropy and Free Energy

The Direction of Spontaneous Change: Entropy and Free Energy The Direction of Spontaneous Change: Entropy and Free Energy Reading: from Petrucci, Harwood and Herring (8th edition): Required for Part 1: Sections 20-1 through 20-4. Recommended for Part 1: Sections

More information

Assignment 3. Tyler Shendruk February 26, 2010

Assignment 3. Tyler Shendruk February 26, 2010 Assignment 3 Tyler Shendruk February 6, 00 Kadar Ch. 4 Problem 7 N diatomic molecules are stuck on metal. The particles have three states:. in plane and aligned with the ˆx axis. in plane but aligned with

More information