Boltzmann statistics, average values

Slides:



Advertisements
Similar presentations
Grand Canonical Ensemble and Criteria for Equilibrium
Advertisements

Dr Roger Bennett Rm. 23 Xtn Lecture 19.
The microcanonical ensemble Finding the probability distribution We consider an isolated system in the sense that the energy is a constant of motion. We.
Ch2. Elements of Ensemble Theory
Review Of Statistical Mechanics
Introduction to Statistical Thermodynamics (Recall)
The Maxwell-Boltzmann Distribution Valentim M. B. Nunes ESTT - IPT April 2015.
Chapter 3 Classical Statistics of Maxwell-Boltzmann
1.The Statistical Basis of Thermodynamics 1.The Macroscopic & the Microscopic States 2.Contact between Statistics & Thermodynamics: Physical Significance.
Intermediate Physics for Medicine and Biology Chapter 3: Systems of Many Particles Professor Yasser M. Kadah Web:
Thermodynamics II I.Ensembles II.Distributions III. Partition Functions IV. Using partition functions V. A bit on gibbes.
The canonical ensemble System  Heat Reservoir R T=const. adiabatic wall Consider system at constant temperature and volume We have shown in thermodynamics.
MSEG 803 Equilibria in Material Systems 8: Statistical Ensembles Prof. Juejun (JJ) Hu
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 21. Boltzmann Statistics (Ch. 6)
Introduction to Thermostatics and Statistical Mechanics A typical physical system has N A = X particles. Each particle has 3 positions and.
1 Ch3. The Canonical Ensemble Microcanonical ensemble: describes isolated systems of known energy. The system does not exchange energy with any external.
The Statistical Interpretation of Entropy The aim of this lecture is to show that entropy can be interpreted in terms of the degree of randomness as originally.
Chapter 15 Thermodynamics. MFMcGrawChap15d-Thermo-Revised 5/5/102 Chapter 15: Thermodynamics The first law of thermodynamics Thermodynamic processes Thermodynamic.
Boltzmann Distribution and Helmholtz Free Energy
Introduction to (Statistical) Thermodynamics
Excerpts of Some Statistical Mechanics Lectures Found on the Web.
The Helmholtz free energyplays an important role for systems where T, U and V are fixed - F is minimum in equilibrium, when U,V and T are fixed! by using:
Statistical Thermodynamics CHEN 689 Fall 2015 Perla B. Balbuena 240 JEB
Too many particles… can’t keep track! Use pressure (p) and volume (V) instead. Temperature (T) measures the tendency of an object to spontaneously give.
Ensemble equivalence = Probability of finding a system (copy) in the canonical ensemble with energy in [E,E+dE] example for monatomic ideal gas example.
Summary: Isolated Systems, Temperature, Free Energy Zhiyan Wei ES 241: Advanced Elasticity 5/20/2009.
Lecture 2 : Canonical Ensemble and the Partition Function Dr. Ronald M. Levy Statistical Thermodynamics.
Lecture 21. Grand canonical ensemble (Ch. 7)
1 CE 530 Molecular Simulation Lecture 6 David A. Kofke Department of Chemical Engineering SUNY Buffalo
The Ideal Monatomic Gas. Canonical ensemble: N, V, T 2.
Chemical Reactions in Ideal Gases. Non-reacting ideal gas mixture Consider a binary mixture of molecules of types A and B. The canonical partition function.
Entropy and temperature Fundamental assumption : an isolated system (N, V and U and all external parameters constant) is equally likely to be in any of.
Summary Boltzman statistics: Fermi-Dirac statistics:
Supplement – Statistical Thermodynamics
Dr Roger Bennett Rm. 23 Xtn Lecture 15.
3.The Canonical Ensemble 1.Equilibrium between a System & a Heat Reservoir 2.A System in the Canonical Ensemble 3.Physical Significance of Various Statistical.
2/18/2014PHY 770 Spring Lecture PHY Statistical Mechanics 11 AM – 12:15 & 12:30-1:45 PM TR Olin 107 Instructor: Natalie Holzwarth.
Other Partition Functions
Statistical Mechanics and Multi-Scale Simulation Methods ChBE
Chapter 6: Basic Methods & Results of Statistical Mechanics
Thermodynamic Potentials
Ch 2. THERMODYNAMICS, STATISTICAL MECHANICS, AND METROPOLIS ALGORITHMS 2.6 ~ 2.8 Adaptive Cooperative Systems, Martin Beckerman, Summarized by J.-W.
PHYS 172: Modern Mechanics Lecture 22 – Entropy and Temperature Read Summer 2012.
Applications of the Canonical Ensemble: Simple Models of Paramagnetism
Statistical Mechanics
Introduction Overview of Statistical & Thermal Physics
Entropy in statistical mechanics. Thermodynamic contacts:
Lecture 19. Boltzmann Statistics (Ch. 6)
Chapter 6 Basic Methods & Results of Statistical Mechanics
Lecture 41 Statistical Mechanics and Boltzmann factor
Chapter 6: Basic Methods & Results of Statistical Mechanics + Chapter 7: Simple Applications of Statistical Mechanics Overview + Details & Applications.
Basic Methods of Stat Mech: Overview of Common Ensembles
Boltzmann statistics Reservoir R U0 -  Combined system U0 = const
Recall the Equipartition
Canonical Ensemble Partition Function Z
Lecture 3: Other Ensembles and
Classical Statistical Mechanics in the Canonical Ensemble: Application to the Classical Ideal Gas.
Energy Fluctuations in the Canonical Ensemble
MIT Microstructural Evolution in Materials 3: Canonical Ensemble
Lecture 23. Systems with a Variable Number of Particles
Recall the Equipartition
Introduction to Statistical
Section 2.2: Statistical Ensemble
The Grand Canonical Ensemble
Statistical Thermodynamics
Thermodynamics and Statistical Physics
Statistical Mechanics and Canonical Ensemble
Introduction to Statistical & Thermal Physics (+ Some Definitions)
Grand Canonical Ensemble and Criteria for Equilibrium
Presentation transcript:

Boltzmann statistics, average values We have developed the tools that permit us to calculate the average value of different physical quantities for a canonical ensemble of identical systems. In general, if the systems in an ensemble are distributed over their accessible states in accordance with the distribution P(i), the average value of some quantity x (i) can be found as: In particular, for a canonical ensemble: Let’s apply this result to the average (mean) energy of the systems in a canonical ensemble (the average of the energies of the visited microstates according to the frequency of visits): The average values are additive. The average total energy Utot of N identical systems is: Another useful representation for the average energy (Pr. 6.16): …thus, if we know Z=Z(T,V,N), we know the average energy!

Heat capacity of a two-level system the slope ~ T Ei The partition function: 2=  1= 0 - lnni The average energy: The heat capacity at constant volume: CV T

Partition Function and Helmholtz Free Energy Comparing this with the expression for the average energy: This equation provides the connection between the microscopic world which we specified with microstates and the macroscopic world which we described with F. If we know Z=Z(T,V,N), we know everything we want to know about the thermal behavior of a system. We can compute all the thermodynamic properties:

Microcanonical  Canonical Our description of the microcanonical and canonical ensembles was based on counting the number of accessible microstates. Let us compare these two cases: microcanonical ensemble canonical ensemble For an isolated system, the multiplicity  provides the number of accessible microstates. The constraint in calculating the states: U, V, N – const For a fixed U, the mean temperature T is specified, but T can fluctuate. For a system in thermal contact with reservoir, the partition function Z provides the # of accessible microstates. The constraint: T, V, N – const For a fixed T, the mean energy U is specified, but U can fluctuate. the probability of finding a system in one of the accessible states the probability of finding a system in one of these states in equilibrium, S reaches a maximum in equilibrium, F reaches a minimum For the canonical ensemble, the role of Z is similar to that of the multiplicity  for the microcanonical ensemble. The relation between F and Z is the fundamental connection between statistical mechanics and thermodynamics for given values of T, V, and N, just as S = kln gives the fundamental connection between statistical mechanics and thermodynamics for given values of U, V, and N.