Statistical mechanics How the overall behavior of a system of many particles is related to the Properties of the particles themselves. It deals with the.

Slides:



Advertisements
Similar presentations
Classical and Quantum Gases
Advertisements

Free Electron Fermi Gas
Statistical Mechanics
Statistical Mechanics
MSEG 803 Equilibria in Material Systems 9: Ideal Gas Quantum Statistics Prof. Juejun (JJ) Hu
Lecture 4 – Kinetic Theory of Ideal Gases
Classical Statistical Mechanics in the Canonical Ensemble.
We’ve spent quite a bit of time learning about how the individual fundamental particles that compose the universe behave. Can we start with that “microscopic”
Lecture 22. Ideal Bose and Fermi gas (Ch. 7)
13.4 Fermi-Dirac Distribution
CHAPTER 14 THE CLASSICAL STATISTICAL TREATMENT OF AN IDEAL GAS.
Department of Electronics Nanoelectronics 13 Atsufumi Hirohata 12:00 Wednesday, 25/February/2015 (P/L 006)
Statistical Physics 2.
LECTURE 2 CONTENTS MAXWELL BOLTZMANN STATISTICS
1 Lecture 5 The grand canonical ensemble. Density and energy fluctuations in the grand canonical ensemble: correspondence with other ensembles. Fermi-Dirac.
Identical Particles In quantum mechanics two electrons cannot be distinguished from each other students have names and can be ‘tagged’ and hence are distinguishable.
1 9.1Historical Overview 9.2Maxwell Velocity Distribution 9.3Equipartition Theorem 9.4Maxwell Speed Distribution 9.5Classical and Quantum Statistics 9.6Fermi-Dirac.
AME Int. Heat Trans. D. B. GoSlide 1 Non-Continuum Energy Transfer: Gas Dynamics.
Lecture 23. Systems with a Variable Number of Particles. Ideal Gases of Bosons and Fermions (Ch. 7) In L22, we considered systems with a fixed number of.
Lecture 25 Practice problems Boltzmann Statistics, Maxwell speed distribution Fermi-Dirac distribution, Degenerate Fermi gas Bose-Einstein distribution,
Statistical Mechanics
Quantum Statistics Determine probability for object/particle in a group of similar particles to have a given energy derive via: a. look at all possible.
P460 - Quan. Stats.1 Quantum Statistics Determine probability for object/particle in a group of similar particles to have a given energy derive via: a.
STATISTICAL MECHANICS PD Dr. Christian Holm PART 0 Introduction to statistical mechanics.
Physics 452 Quantum mechanics II Winter 2012 Karine Chesnel.
P460 - many particles1 Many Particle Systems can write down the Schrodinger Equation for a many particle system with x i being the coordinate of particle.
Lecture 27 Overview Final: May 8, SEC hours (4-7 PM), 6 problems
Microscopic definition of entropy Microscopic definition of temperature This applies to an isolated system for which all the microstates are equally probable.
Fermi-Dirac distribution and the Fermi-level
Chapter 6: Free Electron Fermi Gas
Monday, Nov. 25, 2013PHYS , Fall 2013 Dr. Jaehoon Yu 1 PHYS 3313 – Section 001 Lecture #21 Monday, Nov. 25, 2013 Dr. Jaehoon Yu Equipartition Theorem.
Quantum Distributions
The Interior of Stars I Overview Hydrostatic Equilibrium
Stellar structure equations
Lecture 2 – The First Law (Ch. 1) Wednesday January 9 th Statistical mechanics What will we cover (cont...) Chapter 1 Equilibrium The zeroth law Temperature.
Chapter 19: Fermi-Dirac gases The Fermi energy Fermi-Dirac statistics governs the behavior of indistinguishable particles (fermions). Fermions have.
Lecture 21. Grand canonical ensemble (Ch. 7)
Lecture 9 Energy Levels Translations, rotations, harmonic oscillator
UNIT 1 FREE ELECTRON THEORY.
Spin-statistics theorem As we discussed in P301, all sub-atomic particles with which we have experience have an internal degree of freedom known as intrinsic.
Today’s Objectives Finish energy level example Derive Fermi Dirac distribution Define/apply density of states Review heat capacity with improved model.
EEE 3394 Electronic Materials
Physics Lecture 18 4/5/ Andrew Brandt Monday April 5, 2010 Dr. Andrew Brandt 1.Take Home quiz on CH6 due 2.HW7 due Weds. 4/7 3.HW8 (TBA)
 Heat is measured in Joules or calories.  1 cal = J  Food energy in measured in Calories (with an upper case C)  1 Cal = 1000 cal.
B.E.C.(Bose-Einstein Condensation) 발표자 : 이수룡 (98).
Lecture 20. Continuous Spectrum, the Density of States (Ch. 7), and Equipartition (Ch. 6) The units of g(  ): (energy) -1 Typically, it’s easier to work.
STATISTICAL MECHANICS. MICROSCOPIC AND MACROSCOPIC SYSTEM.
BASICS OF SEMICONDUCTOR
Singel particle energy from Bolztman
Statistical Physics. Statistical Distribution Understanding the distribution of certain energy among particle members and their most probable behavior.
6.The Theory of Simple Gases 1.An Ideal Gas in a Quantum Mechanical Microcanonical Ensemble 2.An Ideal Gas in Other Quantum Mechanical Ensembles 3.Statistics.
Lecture 26 — Review for Exam II Chapters 5-7, Monday March 17th
Lecture 8: Stellar Atmosphere 4. Stellar structure equations.
Condensed Matter Physics: Quantum Statistics & Electronic Structure in Solids Read: Chapter 10 (statistical physics) and Chapter 11 (solid-state physics)
Department of Electronics
Electrical Engineering Materials
Chapter-2 Maxwell-Boltzmann Statistics.
Physics of Electronics: 3. Collection of Particles in Gases and Solids
The units of g(): (energy)-1
Ideal Bose and Fermi gas
6. The Theory of Simple Gases
16 Heat Capacity.
Lecture 25 Practice problems
Quantum Statistics Determine probability for object/particle in a group of similar particles to have a given energy derive via: a. look at all possible.
Lecture 22. Ideal Bose and Fermi gas (Ch. 7)
16 Heat Capacity.
Classical Statistics What is the speed distribution of the molecules of an ideal gas at temperature T? Maxwell speed distribution This is the probabilitity.
Lecture 23. Systems with a Variable Number of Particles
Fermi statistics and Bose Statistics
Statistical Thermodynamics
Presentation transcript:

statistical mechanics How the overall behavior of a system of many particles is related to the Properties of the particles themselves. It deals with the overall particles as whole and not with the individual particle. It tells the probability that the particle has a certain amount of energy at a certain moment.

statistical distributions – general considerations Maxwell-Boltzmann Bose-Einstein Fermi-Dirac Maxwell-Boltzmann statistics Maxwell-Boltzmann distribution energies in an ideal gas equipartition of energy quantum statistics fermions and bosons Bose-Einstein and Fermi-Dirac distribution comparison of the three statistical distributions applications Planck radiation law specific heats of solids free electrons in a metal

general considerations central question: how does the behavior of a many-particle system depend on the properties of the single particles? therefore: look at probabilities for particle properties but: too many single particles to describe them one by one example: a room filled with air number of particles >> mainly two kinds of particles (N 2 and O 2 ) impossible to know all coordinates and kinetic energies but: sm allows to calculate the probability of each particle to e.g. have a certain amount of kinetic energy at a time t

statistical distributions most easy setting: system of N particles in thermal equilibrium at temperature T question: how is the total energy E distributed over the particles? or: how many particles have the energy      etc. particles interact “weakly” with one another and the container walls thermal equilibrium but no correlation more than one particle may have a certain energy 

statistical distributions most easy case: thermal equilibrium constant energy (E=const.) constant number of particles (N=const., for “classical” particles) n(  )=g(  )f(  ) number of particles with energy  number of states with energy  (statistical weight) probability of occupancy of each state with energy  (distribution function) or average Number of particles in each state of Energy 

statistical distributions classical system:  d , etc. g(  )d  Maxwell Boltzmann Fermi Dirac Bose Einstein identical particles “far” apart (no overlap of  ) distinguishable identical particles integral spin (bosons) close together (overlapping  ) indistinguishable identical particles odd half-integral spin (fermions) close together (overlapping  ) indistinguishable

statistical distributions Maxwell Boltzmann Fermi Dirac Bose Einstein e.g. molecules in a gase.g. photonse.g. electrons

Maxwell-Boltzmann distribution Maxwell-Boltzmann distribution function: f MB (  )=A e -  /kT k=1.381 x J/K=8.617 x eV/K (Boltzmann constant) N(  )d  is the number of particles whose energy lie between  And  +d 

energies in an ideal gas ideal gas: PV=RT N is large translational motion, quantization is irrelevant (number of molecules between  and  + d  ) (energy distribution)

Since each momentum magnitude p corresponds to energy 

Total number of molecules is N THIS IS MOLECULAR ENERGY DISTRIBUTION

Most probable energy

Molecular speed distribution

1. Mean velocity: 1. Root mean square velocity: 1. Most probable velocity:

fermions and bosons distinguishable particles (non overlapping wavefunctions) indistinguishable particles (overlapping wavefunctions) bosons: integral spin (0,1,2,…) symmetric wave function (exchange of two bosons does not change the system) all bosons can be in the same quantum state Photons, Phonons Wave function of system of boson is not affected any exchange of any pair of particle

FERMIONS odd half integral spin (1/2,3/2,5/2,…) antisymmetric wave function –(exchange of two fermions changes symmetry of the system) only one fermion can be in a quantum state –(exclusion principle, Pauli principle) probability for two particles in one state: 0!

Consider a system of two particles, 1 and 2 one of which is in state a and the other is in state b. when all particles are distinguishable there are two possibilities for occupancy of the states as When two particles are indistinguishable we can not tell which of them is in which state, and wavefunction must be a combination of the both wavefunction  I AND  II.

FOR BOSONS- SYMMETRIC WAVEFUNCTION For fermions-ANTI SYMMETRIC WAVEFUNCTION

Now let both the particles are in same state a then both wave function will become Probability density For bosons wave function

For fermions SO two particles can not be in the same quantum state.

Bose-Einstein / Fermi-Dirac distribution bosons: one boson of a system in a certain state increases the probability of finding another boson in this state! fermions: one fermion of a system in a certain state prevents all other fermions from being in that state! A describes the system and may be a function of T  >>kT f BE and f FD converge into f MB  F is the Fermi energy

comparison of the distributions

Consider the F-D distribution at T = 0 K AT T=0 K 0 ∞ From this we conclude that all energy states above  F are Empty (f FD ) and all energy states below  F are occupied (f FD = 1). So  F gives the energy of the highest filled state at T = 0.

f FD  T = 0 FF 0 1 KT = 0.1  F FF KT = 1.0  F 0.5 FF f FD

comparison of the distributions Maxwell Boltzmann Fermi Dirac Bose Einstein identical distinguishable classical particles any spin  don’t overlap e.g. gas molecules unlimited number of particles per state indistinguishable no Pauli principle bosons spin 0,1,2 …  overlap  symmetric e.g. cavity photons (laser) liquid He at low T unlimited number of particles per state, more than in MB aproaches MB for high T indistinguishable, Pauli principle fermions spin 1/2,3/2,5/2 …  overlap  antisymmetric e.g. free electrons in metals electrons in white dwarfs never more than 1 particle per state, less than in MB aproaches MB for high T

free electrons in a metal (number of electron states)

free electrons in a metal (electron energy distribution) : electron density Fermi energy

free electrons in a metal T=0 T>>0 EFEF

Total internal energy AVERAGE ELECTRON ENERGY