Review of Statistical Mechanics
|
|
|
- Anissa Miles
- 9 years ago
- Views:
Transcription
1 Review of Statistical Mechanics 3. Microcanonical, Canonical, Grand Canonical Ensembles In statistical mechanics, we deal with a situation in which even the quantum state of the system is unknown. The expectation value of an observable must be averaged over: O = i w i i O i (3.) where the states i form an orthonormal basis of H and w i is the probability of being in state i. The w i s must satisfy w i =. The expectation value can be written in a basis-independent form: O = T r {ρo} (3.) where ρ is the density matrix. In the above example, ρ = iw i i i. The condition, wi =, i.e. that the probabilities add to, is: T r {ρ} = (3.3) We usually deal with one of three ensembles: the microcanonical emsemble, the canonical ensemble, or the grand canonical ensemble. In the microcanonical ensemble, 8
2 Chapter 3: Review of Statistical Mechanics 9 we assume that our system is isolated, so the energy is fixed to be E, but all states with energy E are taken with equal probability: ρ = C δ(h E) (3.4) C is a normalization constant which is determined by (3.3). The entropy is given by, S = ln C (3.5) In other words, ( ) S(E) = ln # of states with energy E (3.6) Inverse temperature, β = /(k B T ): Pressure, P : where V is the volume. First law of thermodynamics: β ( ) S E V ( ) P S k B T V E (3.7) (3.8) ds = S S de + E V dv (3.9) de = k B T ds P dv (3.) Free energy: Differential relation: F = E k B T S (3.) df = k B S dt P dv (3.) or, S = ( ) F k B T V (3.3)
3 Chapter 3: Review of Statistical Mechanics while P = ( ) F V T E = F + k B ( T S ) F = F T T = T F T T V (3.4) (3.5) In the canonical ensemble, we assume that our system is in contact with a heat reservoir so that the temperature is constant. Then, ρ = C e βh (3.6) It is useful to drop the normalization constant, C, and work with an unnormalized density matrix so that we can define the partition function: Z = T r {ρ} (3.7) or, Z = a e βea (3.8) The average energy is: E = E a e βea Z a = β ln Z = k B T T ln Z (3.9) Hence, F = k B T ln Z (3.) The chemical potential, µ, is defined by µ = F N (3.)
4 Chapter 3: Review of Statistical Mechanics where N is the particle number. In the grand canonical ensemble, the system is in contact with a reservoir of heat and particles. Thus, the temperature and chemical potential are held fixed and ρ = C e β(h µn) (3.) We can again work with an unnormalized density matrix and construct the grand canonical partition function: Z = N,ae β(ea µn) (3.3) The average number is: while the average energy is: N = k B T µ ln Z (3.4) E = β ln Z + µk BT µ ln Z (3.5) 3. Bose-Einstein and Planck Distributions 3.. Bose-Einstein Statistics For a system of free bosons, the partition function Z = e β(ea µn) (3.6) E a,n can be rewritten in terms of the single-particle eigenstates and the single-particle energies ɛ i : E a = n ɛ + n ɛ +... (3.7) Z = {n i }e β( i n iɛ i µ i n i) = i ( n i e β(n iɛ i µn i ) )
5 Chapter 3: Review of Statistical Mechanics = i e β(ɛ i µ) (3.8) n i = The chemical potential is chosen so that e β(ɛ i µ) (3.9) N = i = i n i e β(ɛ i µ) (3.3) The energy is given by E = i = i n i ɛ i ɛ i e β(ɛ i µ) (3.3) when N is increased by increasing µ (µ always). Bose-Einstein condensation occurs N > n i (3.3) i In such a case, n must become large. This occurs when µ =. 3.. The Planck Distribution Suppose N is not fixed, but is arbitrary, e.g. the numbers of photons and neutrinos are not fixed. Then there is no Lagrange multiplier µ and n i = e βɛ i (3.33) Consider photons (two polarizations) in a cavity of side L with ɛ k = hω k = hck and k = π L (m x, m y, m z ) (3.34) E = nmx,m y,m z m x,m y,m z ω mx,m y,m z (3.35)
6 Chapter 3: Review of Statistical Mechanics 3 We can take the thermodynamic limit, L, and convert the sum into an integral. Since the allowed k s are π L (m x, m y, m z ), the k-space volume per allowed k is (π) 3 /L 3. Hence, we can take the infinite-volume limit by making the replacement: Hence, f( k) = k ( f( k) ( k) 3 k) 3 k d 3 k f( k) (3.36) = L3 (π) 3 E = V = V = kmax kmax V k 4 B π ( hc) 3 T 4 d 3 k (π) 3 d 3 k (π) 3 hω k e β hω k hck e β hck x 3 dx e x β hckmax (3.37) For β hck max, and For β hck max, and E = V k4 B π ( hc) T 4 x 3 dx 3 e x C V = 4V k4 B π ( hc) T 3 x 3 dx 3 e x (3.38) (3.39) E = V k3 max 3π k B T (3.4) C V = V k3 maxk B 3π (3.4) 3.3 Fermi-Dirac Distribution For a system of free fermions, the partition function Z = e β(ea µn) (3.4) E a,n
7 Chapter 3: Review of Statistical Mechanics 4 can again be rewritten in terms of the single-particle eigenstates and the single-particle energies ɛ i : E a = n ɛ + n ɛ +... (3.43) but now n i =, (3.44) so that Z = {n i }e β( i n iɛ i µ i n i) = i = i e β(n iɛ i µn i ) n i = ( ) + e β(ɛ i µ) (3.45) n i = The chemical potential is chosen so that e β(ɛ i+µ) + (3.46) The energy is given by N = i E = i e β(ɛ i+µ) + ɛ i e β(ɛ i+µ) + (3.47) (3.48) 3.4 Thermodynamics of the Free Fermion Gas Free electron gas in a box of side L: ɛ k = h k m (3.49) with k = π L (m x, m y, m z ) (3.5)
8 Chapter 3: Review of Statistical Mechanics 5 Then, taking into account the spin states, E = = V (3.5) ɛ mx,my,m z m x,m y,m z kmax d 3 k (π) 3 nmx,m y,m z h k m e β ( h k m µ ) + N = V kmax d 3 k (π) 3 ( e β h k m µ ) + (3.5) At T =, ( ( ) = θ µ h k ) (3.53) e β h k m µ m + All states with energies less than µ are filled; all states with higher energies are empty. We write k F = mµt =, ɛ F = µ T = (3.54) h N V = kf d 3 k (π) = k3 F (3.55) 3 3π For k B T e F, E V kf d 3 k h k = (π) 3 m = h kf 5 π m = 3 N 5 V ɛ F (3.56) 3 d 3 k (π) = m 3 π h 3 dɛ ɛ (3.57) N V = m 3 π h 3 = m 3 π h 3 µ dɛ ɛ e β(ɛ µ) + dɛ ɛ + m 3 π h 3 µ dɛ ɛ ( ) e β(ɛ µ) + + m 3 π h 3 µ dɛ ɛ e β(ɛ µ) +
9 Chapter 3: Review of Statistical Mechanics 6 = (m) 3 3 3π h 3 µ 3 m π h 3 3 µ 3 dɛ ɛ e β(ɛ µ) + + m π h 3 dɛ ɛ µ e β(ɛ µ) + k B T dx ( ) ( (µ + kb T x) e x (µ kb T x) ) + O e βµ + = (m) 3 3π h 3 µ 3 m + π h 3 = (m) 3 3 3π h 3 µ 3 (m) + π h 3 (k B T ) n µ 3 n Γ ( ) 3 n= (n )! Γ ( 5 dx xn n) e x + = (m) 3 3π h 3 µ ( ) kb T I + O ( T 4) (3.58) µ with We will only need Hence, (ɛ F ) 3 = µ 3 I k = + 3 dx I = π xk e x + (3.59) (3.6) ( ) kb T I + O ( T 4) (3.6) µ To lowest order in T, this gives: ( ) kb T µ = ɛ F I + O(T ) 4 ɛ F ( ) = ɛ F π kb T + O(T ) 4 (3.6) ɛ F E V = m 3 π h 3 dɛ ɛ 3 e β(ɛ µ) + = m 3 µ π h 3 dɛ ɛ 3 m 3 µ ( ) + π h 3 dɛ ɛ 3 e β(ɛ µ) + + m 3 π h 3 dɛ ɛ 3 µ e β(ɛ µ) + = (m) 3 3 5π h 3 µ 5 m µ π h 3 dɛ ɛ 3 e β(ɛ µ) + + m 3 π h 3 dɛ ɛ 3 µ e β(ɛ µ) + = (m) 3 3 5π h 3 µ 5 m k B T dx ( ) ( + π h (µ + 3 kb T x) 3 e x (µ kb T x) ) 3 + O e βµ + = (m) 3 3 5π h 3 µ 5 (m) + π h 3 (k B T ) n µ 5 n Γ ( ) 5 n= (n )! Γ ( 7 dx xn n) e x +
10 Chapter 3: Review of Statistical Mechanics 7 = (m) 3 5π h 3 µ 5 = 3 5 N V ɛ F + 5 ( ) kb T I + O(T ) 4 µ ( ) + 5π kb T + O(T ) 4 (3.63) ɛ F Hence, the specific heat of a gas of free fermions is: C V = π Nk k B T B (3.64) ɛ F Note that this can be written in the more general form: C V = (const.) k B g (ɛ F ) k B T (3.65) The number of electrons which are thermally excited above the ground state is g (ɛ F ) k B T ; each such electron contributes energy k B T and, hence, gives a specific heat contribution of k B. Electrons give such a contribution to the specific heat of a metal. 3.5 Ising Model, Mean Field Theory, Phases Consider a model of spins on a lattice in a magnetic field: H = gµ B B i S z i h i S z i (3.66) with S z i = ±/. The partition function for such a system is: The average magnetization is: Z = The susceptibility, χ, is defined by ( cosh h k B T S z i = tanh χ = ( h i S z i h k B T ) ) N (3.67) h= (3.68) (3.69)
11 Chapter 3: Review of Statistical Mechanics 8 For free spins on a lattice, χ = N k B T (3.7) A susceptibility which is inversely proportional to temperature is called a Curie sucseptibility. In problem set 3, you will show that the susceptibility is much smaller for a system of electrons. Now consider a model of spins on a lattice such that each spin interacts with its neighbors according to: H = JSi z Sj z (3.7) i,j This Hamiltonian has a symmetry S z i S z i (3.7) For k B T J, the interaction between the spins will not be important and the susceptibility will be of the Curie form. For k B T < J, however, the behavior will be much different. We can understand this qualitatively using mean field theory. Let us approximate the interaction of each spin with its neighbors by an interaction with a mean-field, h: H = i hs z i (3.73) with h given by h = i J S z i = Jz S z i (3.74) where z is the coordination number. In this field, the partition function is just cosh h k B T and S z = tanh h k B T (3.75) Using the self-consistency condition, this is: S z = tanh Jz Sz k B T (3.76)
12 Chapter 3: Review of Statistical Mechanics 9 S z i For k B T < Jz, this has non-zero solutions, S z which break the symmetry Si z. In this phase, there is a spontaneous magnetization. For k B T > Jz, there is only the solution S z =. In this phase the symmetry is unbroken and the is no spontaneous magnetization. At k B T = Jz, there is a critical point at which a phase transition occurs.
Solid State Physics. Chetan Nayak
Solid State Physics Chetan Nayak Physics 140a Franz 1354; M, W 11:00-1:15 Office Hour: TBA; Knudsen 6-130J Section: MS 7608; F 11:00-11:50 TA: Sumanta Tewari University of California, Los Angeles September
The properties of an ideal Fermi gas are strongly determined by the Pauli principle. We shall consider the limit: µ >> k B T βµ >> 1,
Chapter 3 Ideal Fermi gas The properties of an ideal Fermi gas are strongly determined by the Pauli principle. We shall consider the limit: µ >> k B T βµ >>, which defines the degenerate Fermi gas. In
Physics 176 Topics to Review For the Final Exam
Physics 176 Topics to Review For the Final Exam Professor Henry Greenside May, 011 Thermodynamic Concepts and Facts 1. Practical criteria for identifying when a macroscopic system is in thermodynamic equilibrium:
= N 2 = 3π2 n = k 3 F. The kinetic energy of the uniform system is given by: 4πk 2 dk h2 k 2 2m. (2π) 3 0
Chapter 1 Thomas-Fermi Theory The Thomas-Fermi theory provides a functional form for the kinetic energy of a non-interacting electron gas in some known external potential V (r) (usually due to impurities)
3. Derive the partition function for the ideal monoatomic gas. Use Boltzmann statistics, and a quantum mechanical model for the gas.
Tentamen i Statistisk Fysik I den tjugosjunde februari 2009, under tiden 9.00-15.00. Lärare: Ingemar Bengtsson. Hjälpmedel: Penna, suddgummi och linjal. Bedömning: 3 poäng/uppgift. Betyg: 0-3 = F, 4-6
Revisiting the concept of chemical potential in classical and quantum gases: A perspective from Equilibrium Statistical Mechanics.
Revisiting the concept of chemical potential in classical and quantum gases: A perspective from Equilibrium Statistical Mechanics F.J. Sevilla Instituto de Física, UNAM, Apdo. Postal 20-364, 01000 México
Fundamentals of Statistical Physics Leo P. Kadanoff University of Chicago, USA
Fundamentals of Statistical Physics Leo P. Kadanoff University of Chicago, USA text: Statistical Physics, Statics, Dynamics, Renormalization Leo Kadanoff I also referred often to Wikipedia and found it
Free Electron Fermi Gas (Kittel Ch. 6)
Free Electron Fermi Gas (Kittel Ch. 6) Role of Electrons in Solids Electrons are responsible for binding of crystals -- they are the glue that hold the nuclei together Types of binding (see next slide)
PHY4604 Introduction to Quantum Mechanics Fall 2004 Practice Test 3 November 22, 2004
PHY464 Introduction to Quantum Mechanics Fall 4 Practice Test 3 November, 4 These problems are similar but not identical to the actual test. One or two parts will actually show up.. Short answer. (a) Recall
1 Variational calculation of a 1D bound state
TEORETISK FYSIK, KTH TENTAMEN I KVANTMEKANIK FÖRDJUPNINGSKURS EXAMINATION IN ADVANCED QUANTUM MECHAN- ICS Kvantmekanik fördjupningskurs SI38 för F4 Thursday December, 7, 8. 13. Write on each page: Name,
Statistical Physics, Part 2 by E. M. Lifshitz and L. P. Pitaevskii (volume 9 of Landau and Lifshitz, Course of Theoretical Physics).
Fermi liquids The electric properties of most metals can be well understood from treating the electrons as non-interacting. This free electron model describes the electrons in the outermost shell of the
FIELD THEORY OF ISING PERCOLATING CLUSTERS
UK Meeting on Integrable Models and Conformal Field heory University of Kent, Canterbury 16-17 April 21 FIELD HEORY OF ISING PERCOLAING CLUSERS Gesualdo Delfino SISSA-rieste Based on : GD, Nucl.Phys.B
Some notes on the ideal fermion gas
Some notes on the ideal fermion gas Anthony Brown [email protected] 27.4.2 Abstract. These are notes on the physics of the ideal fermion gas collected from various sources. The text provides a deeper
Chapter 2. Parameterized Curves in R 3
Chapter 2. Parameterized Curves in R 3 Def. A smooth curve in R 3 is a smooth map σ : (a, b) R 3. For each t (a, b), σ(t) R 3. As t increases from a to b, σ(t) traces out a curve in R 3. In terms of components,
EQUATION OF STATE. e (E µ)/kt ± 1 h 3 dp,
EQUATION OF STATE Consider elementary cell in a phase space with a volume x y z p x p y p z = h 3, (st.1) where h = 6.63 1 7 erg s is the Planck constant, x y z is volume in ordinary space measured in
0.1 Phase Estimation Technique
Phase Estimation In this lecture we will describe Kitaev s phase estimation algorithm, and use it to obtain an alternate derivation of a quantum factoring algorithm We will also use this technique to design
6-2. A quantum system has the following energy level diagram. Notice that the temperature is indicated
Chapter 6 Concept Tests 6-1. In a gas of hydrogen atoms at room temperature, what is the ratio of atoms in the 1 st excited energy state (n=2) to atoms in the ground state(n=1). (Actually H forms H 2 molecules,
1. Degenerate Pressure
. Degenerate Pressure We next consider a Fermion gas in quite a different context: the interior of a white dwarf star. Like other stars, white dwarfs have fully ionized plasma interiors. The positively
Rate Equations and Detailed Balance
Rate Equations and Detailed Balance Initial question: Last time we mentioned astrophysical masers. Why can they exist spontaneously? Could there be astrophysical lasers, i.e., ones that emit in the optical?
Teoretisk Fysik KTH. Advanced QM (SI2380), test questions 1
Teoretisk Fysik KTH Advanced QM (SI238), test questions NOTE THAT I TYPED THIS IN A HURRY AND TYPOS ARE POSSIBLE: PLEASE LET ME KNOW BY EMAIL IF YOU FIND ANY (I will try to correct typos asap - if you
1 Sufficient statistics
1 Sufficient statistics A statistic is a function T = rx 1, X 2,, X n of the random sample X 1, X 2,, X n. Examples are X n = 1 n s 2 = = X i, 1 n 1 the sample mean X i X n 2, the sample variance T 1 =
Statistical Thermodynamics - Fall 2009. Professor Dmitry Garanin. Statistical physics. October 24, 2012 I. PREFACE
1 Statistical Thermodynamics - Fall 9 Professor Dmitry Garanin Statistical physics October 4, 1 I. PREFACE Statistical physics considers systems of a large number of entities particles) such as atoms,
Statistical Physics (PHY831), Part 2-Exact results and solvable models Phillip M. Duxbury, Fall 2011
Statistical Physics (PHY831), Part 2-Exact results and solvable models Phillip M. Duxbury, Fall 211 Systems that will be covered include:(11 lectures) Classical ideal gas, on-interacting spin systems,
UN PICCOLO BIG BANG IN LABORATORIO: L'ESPERIMENTO ALICE AD LHC
UN PICCOLO BIG BANG IN LABORATORIO: L'ESPERIMENTO ALICE AD LHC Parte 1: Carlos A. Salgado Universidade de Santiago de Compostela [email protected] http://cern.ch/csalgado LHC physics program Fundamental
Perfect Fluids: From Nano to Tera
Perfect Fluids: From Nano to Tera Thomas Schaefer North Carolina State University 1 2 Perfect Fluids sqgp (T=180 MeV) Neutron Matter (T=1 MeV) Trapped Atoms (T=0.1 nev) 3 Hydrodynamics Long-wavelength,
Problem Set 3 Solutions
Chemistry 360 Dr Jean M Standard Problem Set 3 Solutions 1 (a) One mole of an ideal gas at 98 K is expanded reversibly and isothermally from 10 L to 10 L Determine the amount of work in Joules We start
- thus, the total number of atoms per second that absorb a photon is
Stimulated Emission of Radiation - stimulated emission is referring to the emission of radiation (a photon) from one quantum system at its transition frequency induced by the presence of other photons
Chapter 22 The Hamiltonian and Lagrangian densities. from my book: Understanding Relativistic Quantum Field Theory. Hans de Vries
Chapter 22 The Hamiltonian and Lagrangian densities from my book: Understanding Relativistic Quantum Field Theory Hans de Vries January 2, 2009 2 Chapter Contents 22 The Hamiltonian and Lagrangian densities
CHAPTER IV - BROWNIAN MOTION
CHAPTER IV - BROWNIAN MOTION JOSEPH G. CONLON 1. Construction of Brownian Motion There are two ways in which the idea of a Markov chain on a discrete state space can be generalized: (1) The discrete time
Perfect Fluidity in Cold Atomic Gases?
Perfect Fluidity in Cold Atomic Gases? Thomas Schaefer North Carolina State University 1 Hydrodynamics Long-wavelength, low-frequency dynamics of conserved or spontaneoulsy broken symmetry variables τ
Frustrated magnetism on Hollandite lattice
Frustrated magnetism on Hollandite lattice Saptarshi Mandal (ICTP, Trieste, Italy) Acknowledgment: A. Andreanov(MPIKS, Dresden) Y. Crespo and N. Seriani(ICTP, Italy) Workshop on Current Trends in Frustrated
arxiv:cond-mat/9809050v1 [cond-mat.stat-mech] 2 Sep 1998
arxiv:cond-mat/9809050v1 [cond-mat.stat-mech] 2 Sep 1998 One-dimensional Ising model with long-range and random short-range interactions A. P. Vieira and L. L. Gonçalves Departamento de Física da UFC,
HEAT UNIT 1.1 KINETIC THEORY OF GASES. 1.1.1 Introduction. 1.1.2 Postulates of Kinetic Theory of Gases
UNIT HEAT. KINETIC THEORY OF GASES.. Introduction Molecules have a diameter of the order of Å and the distance between them in a gas is 0 Å while the interaction distance in solids is very small. R. Clausius
Topic 3b: Kinetic Theory
Topic 3b: Kinetic Theory What is temperature? We have developed some statistical language to simplify describing measurements on physical systems. When we measure the temperature of a system, what underlying
An Introduction to Hartree-Fock Molecular Orbital Theory
An Introduction to Hartree-Fock Molecular Orbital Theory C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology June 2000 1 Introduction Hartree-Fock theory is fundamental
Thermodynamics: Lecture 8, Kinetic Theory
Thermodynamics: Lecture 8, Kinetic Theory Chris Glosser April 15, 1 1 OUTLINE I. Assumptions of Kinetic Theory (A) Molecular Flux (B) Pressure and the Ideal Gas Law II. The Maxwell-Boltzmann Distributuion
Solutions to Problems in Goldstein, Classical Mechanics, Second Edition. Chapter 7
Solutions to Problems in Goldstein, Classical Mechanics, Second Edition Homer Reid April 21, 2002 Chapter 7 Problem 7.2 Obtain the Lorentz transformation in which the velocity is at an infinitesimal angle
6.2 Permutations continued
6.2 Permutations continued Theorem A permutation on a finite set A is either a cycle or can be expressed as a product (composition of disjoint cycles. Proof is by (strong induction on the number, r, of
α α λ α = = λ λ α ψ = = α α α λ λ ψ α = + β = > θ θ β > β β θ θ θ β θ β γ θ β = γ θ > β > γ θ β γ = θ β = θ β = θ β = β θ = β β θ = = = β β θ = + α α α α α = = λ λ λ λ λ λ λ = λ λ α α α α λ ψ + α =
Friction as an activated process
Friction as an activated process Ondřej Souček, František Gallovič Mathematical Institute of the Charles University in Prague Department of Geophysics, Faculty of Mathematics and Physics, Charles University
Second Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
Chapter 7. Lattice vibrations. 7.1 Introduction
Chapter 7 Lattice vibrations 7. Introduction Up to this point in the lecture, the crystal lattice was always assumed to be completely rigid, i.e. atomic displacements away from the positions of a perfect
Introduction to Schrödinger Equation: Harmonic Potential
Introduction to Schrödinger Equation: Harmonic Potential Chia-Chun Chou May 2, 2006 Introduction to Schrödinger Equation: Harmonic Potential Time-Dependent Schrödinger Equation For a nonrelativistic particle
Erdős on polynomials
Erdős on polynomials Vilmos Totik University of Szeged and University of South Florida [email protected] Vilmos Totik (SZTE and USF) Polynomials 1 / * Erdős on polynomials Vilmos Totik (SZTE and USF)
NDSU Department of Physics. Graduate Student Handbook
NDSU Department of Physics Graduate Student Handbook Department of Physics North Dakota State University Fargo, ND 58108-6050 History Draft: August 24, 2014 Table of Contents 1. Contact 2 2. Graduate Program
Introduction to General and Generalized Linear Models
Introduction to General and Generalized Linear Models General Linear Models - part I Henrik Madsen Poul Thyregod Informatics and Mathematical Modelling Technical University of Denmark DK-2800 Kgs. Lyngby
Chapter 1 Classical Thermodynamics: The First Law. 1.2 The first law of thermodynamics. 1.3 Real and ideal gases: a review
Chapter 1 Classical Thermodynamics: The First Law 1.1 Introduction 1.2 The first law of thermodynamics 1.3 Real and ideal gases: a review 1.4 First law for cycles 1.5 Reversible processes 1.6 Work 1.7
Numerical analysis of Bose Einstein condensation in a three-dimensional harmonic oscillator potential
Numerical analysis of Bose Einstein condensation in a three-dimensional harmonic oscillator potential Martin Ligare Department of Physics, Bucknell University, Lewisburg, Pennsylvania 17837 Received 24
Thermochemistry. r2 d:\files\courses\1110-20\99heat&thermorans.doc. Ron Robertson
Thermochemistry r2 d:\files\courses\1110-20\99heat&thermorans.doc Ron Robertson I. What is Energy? A. Energy is a property of matter that allows work to be done B. Potential and Kinetic Potential energy
( ) = ( ) = {,,, } β ( ), < 1 ( ) + ( ) = ( ) + ( )
{ } ( ) = ( ) = {,,, } ( ) β ( ), < 1 ( ) + ( ) = ( ) + ( ) max, ( ) [ ( )] + ( ) [ ( )], [ ( )] [ ( )] = =, ( ) = ( ) = 0 ( ) = ( ) ( ) ( ) =, ( ), ( ) =, ( ), ( ). ln ( ) = ln ( ). + 1 ( ) = ( ) Ω[ (
PHOTOELECTRIC EFFECT AND DUAL NATURE OF MATTER AND RADIATIONS
PHOTOELECTRIC EFFECT AND DUAL NATURE OF MATTER AND RADIATIONS 1. Photons 2. Photoelectric Effect 3. Experimental Set-up to study Photoelectric Effect 4. Effect of Intensity, Frequency, Potential on P.E.
Main properties of atoms and nucleus
Main properties of atoms and nucleus. Atom Structure.... Structure of Nuclei... 3. Definition of Isotopes... 4. Energy Characteristics of Nuclei... 5. Laws of Radioactive Nuclei Transformation... 3. Atom
Mechanics 1: Conservation of Energy and Momentum
Mechanics : Conservation of Energy and Momentum If a certain quantity associated with a system does not change in time. We say that it is conserved, and the system possesses a conservation law. Conservation
CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION
No: CITY UNIVERSITY LONDON BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION ENGINEERING MATHEMATICS 2 (resit) EX2005 Date: August
Problem Set 4 Solutions
Chemistry 360 Dr Jean M Standard Problem Set 4 Solutions 1 Two moles of an ideal gas are compressed isothermally and reversibly at 98 K from 1 atm to 00 atm Calculate q, w, ΔU, and ΔH For an isothermal
Standard Model of Particle Physics
Standard Model of Particle Physics Chris Sachrajda School of Physics and Astronomy University of Southampton Southampton SO17 1BJ UK SUSSP61, St Andrews August 8th 3rd 006 Contents 1. Spontaneous Symmetry
Till now, almost all attention has been focussed on discussing the state of a quantum system.
Chapter 13 Observables and Measurements in Quantum Mechanics Till now, almost all attention has been focussed on discussing the state of a quantum system. As we have seen, this is most succinctly done
1 Prior Probability and Posterior Probability
Math 541: Statistical Theory II Bayesian Approach to Parameter Estimation Lecturer: Songfeng Zheng 1 Prior Probability and Posterior Probability Consider now a problem of statistical inference in which
Lecture 3: Models of Solutions
Materials Science & Metallurgy Master of Philosophy, Materials Modelling, Course MP4, Thermodynamics and Phase Diagrams, H. K. D. H. Bhadeshia Lecture 3: Models of Solutions List of Symbols Symbol G M
Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
3. Equation of State
1 3. Equation of State In the stellar interior, as we shall see, the temperature is so high that most elements are completely ionised. Therefore we have electrons, ions and photons at any radius r. They
A Modern Course in Statistical Physics
A Modern Course in Statistical Physics 2nd Edition L. E. REICHL A Wiley-Interscience Publication JOHN WILEY & SONS, INC. New York Chichester Weinheim Brisbane Singapore Toronto CONTENTS Preface xix 1.
Unified Lecture # 4 Vectors
Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,
Magnetic Dipoles. Magnetic Field of Current Loop. B r. PHY2061 Enriched Physics 2 Lecture Notes
Disclaimer: These lecture notes are not meant to replace the course textbook. The content may be incomplete. Some topics may be unclear. These notes are only meant to be a study aid and a supplement to
PX408: Relativistic Quantum Mechanics
January 2016 PX408: Relativistic Quantum Mechanics Tim Gershon ([email protected]) Handout 1: Revision & Notation Relativistic quantum mechanics, as its name implies, can be thought of as the bringing
The integrating factor method (Sect. 2.1).
The integrating factor method (Sect. 2.1). Overview of differential equations. Linear Ordinary Differential Equations. The integrating factor method. Constant coefficients. The Initial Value Problem. Variable
Probability Calculator
Chapter 95 Introduction Most statisticians have a set of probability tables that they refer to in doing their statistical wor. This procedure provides you with a set of electronic statistical tables that
Spontaneous symmetry breaking in particle physics: a case of cross fertilization
Spontaneous symmetry breaking in particle physics: a case of cross fertilization Yoichiro Nambu lecture presented by Giovanni Jona-Lasinio Nobel Lecture December 8, 2008 1 / 25 History repeats itself 1960
Physics 239a: Where do quantum field theories come from?
Physics 39a: Where do quantum field theories come from? Lecturer: McGreevy Last updated: 016/04/1, 1:3:48 1 0.1 Introductory remarks............................... 4 1 QFT from springs 7 Ising spins 16.1
Quantum Magnetism. Jonathan Keeling. http://www.tcm.phy.cam.ac.uk/ jmjk2/qm/
Quantum Magnetism Jonathan Keeling http://www.tcm.phy.cam.ac.uk/ jmjk2/qm/ Contents Contents List of Figures Introduction Books and Review articles...................... iii v vii vii 1 Quantum magnetism
arxiv:1111.4354v2 [physics.acc-ph] 27 Oct 2014
Theory of Electromagnetic Fields Andrzej Wolski University of Liverpool, and the Cockcroft Institute, UK arxiv:1111.4354v2 [physics.acc-ph] 27 Oct 2014 Abstract We discuss the theory of electromagnetic
Physics 125c Course Notes Density Matrix Formalism 040511 Frank Porter
Physics 125c Course Notes Density Matrix Formalism 040511 Frank Porter 1 Introduction In this note we develop an elegant and powerful formulation of quantum mechanics, the density matrix formalism. This
Quantum Monte Carlo and the negative sign problem
Quantum Monte Carlo and the negative sign problem or how to earn one million dollar Matthias Troyer, ETH Zürich Uwe-Jens Wiese, Universität Bern Complexity of many particle problems Classical 1 particle:
Statistical Mechanics Dr Alfred Huan Contents What is Statistical Mechanics? 3. Key Ideas in the module............................ 3. Why do we study Statistical Mechanics?................... 4.3 Denitions....................................
SF2940: Probability theory Lecture 8: Multivariate Normal Distribution
SF2940: Probability theory Lecture 8: Multivariate Normal Distribution Timo Koski 24.09.2014 Timo Koski () Mathematisk statistik 24.09.2014 1 / 75 Learning outcomes Random vectors, mean vector, covariance
Chemical shift, fine and hyperfine structure in RFR spectroscopy
Chemical shift, fine and hyperfine structure in RFR spectroscopy 48 Journal of Foundations of Physics and Chemistry, 0, vol (5) 48 49 Chemical shift, fine and hyperfine structure in RFR spectroscopy MW
Complex dynamics made simple: colloidal dynamics
Complex dynamics made simple: colloidal dynamics Chemnitz, June 2010 Complex dynamics made simple: colloidal dynamics Chemnitz, June 2010 Terminology Quench: sudden change of external parameter, e.g.
Basic Concepts in Nuclear Physics. Paolo Finelli
Basic Concepts in Nuclear Physics Paolo Finelli Literature/Bibliography Some useful texts are available at the Library: Wong, Nuclear Physics Krane, Introductory Nuclear Physics Basdevant, Rich and Spiro,
Solutions to Homework 10
Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x
Calculating particle properties of a wave
Calculating particle properties of a wave A light wave consists of particles (photons): The energy E of the particle is calculated from the frequency f of the wave via Planck: E = h f (1) A particle can
Nuclear Magnetic Resonance (NMR) Spectroscopy
April 28, 2016 Exam #3: Graded exams on Tuesday! Final Exam Tuesday, May 10 th, 10:30 a.m. Room: Votey 207 (tentative) Review Session: Sunday, May 8 th, 4 pm, Kalkin 325 (tentative) Office Hours Next week:
Statistical thermodynamics of Solids: Introduction of structured solids
Solid State Theory Physics 545 The lattice specific heat Statistical thermodynamics of Solids: Kinetic energy Introduction of structured solids Law wof Dulong uo and Petit (Heat capacity) c 1819 Einstein
Euclidean quantum gravity revisited
Institute for Gravitation and the Cosmos, Pennsylvania State University 15 June 2009 Eastern Gravity Meeting, Rochester Institute of Technology Based on: First-order action and Euclidean quantum gravity,
Thermodynamics: Lecture 2
Thermodynamics: Lecture 2 Chris Glosser February 11, 2001 1 OUTLINE I. Heat and Work. (A) Work, Heat and Energy: U = Q + W. (B) Methods of Heat Transport. (C) Infintesimal Work: Exact vs Inexact Differentials
Exergy: the quality of energy N. Woudstra
Exergy: the quality of energy N. Woudstra Introduction Characteristic for our society is a massive consumption of goods and energy. Continuation of this way of life in the long term is only possible if
A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS
A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors
Quantum Computing with NMR
Quantum Computing with NMR Sabine Keiber, Martin Krauÿ June 3, 2009 Sabine Keiber, Martin Krauÿ Quantum Computing with NMR June 3, 2009 1 / 46 1 A Short Introduction to NMR 2 Di Vincenzo's Requirements
