Summary Boltzman statistics: Fermi-Dirac statistics:

Slides:



Advertisements
Similar presentations
Grand Canonical Ensemble and Criteria for Equilibrium
Advertisements

Dr Roger Bennett Rm. 23 Xtn Lecture 19.
Dr Roger Bennett Rm. 23 Xtn Lecture 13.
The Heat Capacity of a Diatomic Gas
Thermodynamic Potentials
Review Of Statistical Mechanics
MSEG 803 Equilibria in Material Systems 9: Ideal Gas Quantum Statistics Prof. Juejun (JJ) Hu
Lecture 22. Ideal Bose and Fermi gas (Ch. 7)
13.4 Fermi-Dirac Distribution
CHAPTER 14 THE CLASSICAL STATISTICAL TREATMENT OF AN IDEAL GAS.
Chapter 3 Classical Statistics of Maxwell-Boltzmann
1 Lecture 6 Ideal gas in microcanonical ensemble. Entropy. Sackur-Tetrode formula. De Broglie wavelength. Chemical potential. Ideal gas in canonical ensemble.
(Q and/or W) A closed system is one that does not exchange matter with its surroundings, although it may exchange energy. dn i = 0(i = 1, 2, …..)(1.1)
1.The Statistical Basis of Thermodynamics 1.The Macroscopic & the Microscopic States 2.Contact between Statistics & Thermodynamics: Physical Significance.
1 Lecture 5 The grand canonical ensemble. Density and energy fluctuations in the grand canonical ensemble: correspondence with other ensembles. Fermi-Dirac.
Intermediate Physics for Medicine and Biology Chapter 3: Systems of Many Particles Professor Yasser M. Kadah Web:
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.
Energy. Simple System Statistical mechanics applies to large sets of particles. Assume a system with a countable set of states.  Probability p n  Energy.
1 Lecture 3 Entropy in statistical mechanics. Thermodynamic contacts: i.mechanical contact, ii.heat contact, iii.diffusion contact. Equilibrium. Chemical.
Statistical Mechanics
Thermo & Stat Mech - Spring 2006 Class 18 1 Thermodynamics and Statistical Mechanics Statistical Distributions.
Thermo & Stat Mech - Spring 2006 Class 19 1 Thermodynamics and Statistical Mechanics Partition Function.
1 Ch3. The Canonical Ensemble Microcanonical ensemble: describes isolated systems of known energy. The system does not exchange energy with any external.
Entropy and the Second Law of Thermodynamics
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.
Microscopic definition of entropy Microscopic definition of temperature This applies to an isolated system for which all the microstates are equally probable.
Spontaneity and Equilibrium in Chemical Systems
Boltzmann Distribution and Helmholtz Free Energy
12.3 Assembly of distinguishable particles
Introduction to (Statistical) Thermodynamics
ELEMENTS OF STATISTICAL THERMODYNAMICS AND QUANTUM THEORY
Excerpts of Some Statistical Mechanics Lectures Found on the Web.
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.
Gibbs Free energy and Helmholtz free energy. Learning objectives After reviewing this presentation learner will be able to Explain entropy and enthalpy.
MSEG 803 Equilibria in Material Systems 7: Statistical Interpretation of S Prof. Juejun (JJ) Hu
The Laws of Thermodynamics
Lecture 21. Grand canonical ensemble (Ch. 7)
Statistical Thermodynamics Chapter Introduction The object: to present a particle theory which can interpret the equilibrium thermal properties.
1 The Second Law of Thermodynamics (II). 2 The Fundamental Equation We have shown that: dU = dq + dw plus dw rev = -pdV and dq rev = TdS We may write:
The Ideal Monatomic Gas. Canonical ensemble: N, V, T 2.
Examples from the monatomic ideal gas case. In problem 3.2 you showed that example 1 1.
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.
Partial Molar Quantities and the Chemical Potential Lecture 6.
7.6 Entropy Change in Irreversible Processes It is not possible to calculate the entropy change ΔS = S B - S A for an irreversible process between A and.
Connection between partition functions
Ch 22 pp Lecture 2 – The Boltzmann distribution.
Thermodynamics System: Part of Universe to Study. Open or Closed boundaries. Isolated. Equilibrium: Unchanging State. Detailed balance State of System:
Dr Roger Bennett Rm. 23 Xtn Lecture 15.
Chapter 14: The Classical Statistical Treatment of an Ideal Gas.
Classical and Quantum Statistics
2/18/2014PHY 770 Spring Lecture PHY Statistical Mechanics 11 AM – 12:15 & 12:30-1:45 PM TR Olin 107 Instructor: Natalie Holzwarth.
The Heat Capacity of a Diatomic Gas Chapter Introduction Statistical thermodynamics provides deep insight into the classical description of a.
Chapter 7 Bose and Fermi statistics. §7-1 The statistical expressions of thermodynamic quantities 1 、 Bose systems: Define a macrocanonical partition.
An Introduction to Statistical Thermodynamics. ( ) Gas molecules typically collide with a wall or other molecules about once every ns. Each molecule has.
Other Partition Functions
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.
Chapter 6: Basic Methods & Results of Statistical Mechanics
Classical Thermodynamics of Solutions
Boltzmann statistics, average values
Statistical Mechanics
The average occupation numbers
Chapter 6 Basic Methods & Results of Statistical Mechanics
Equilibrium Carrier Statistics
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
Classical Statistical Mechanics in the Canonical Ensemble: Application to the Classical Ideal Gas.
Chapter 14: The Classical Statistical Treatment of an Ideal Gas
Chapter 1: Statistical Basis of Thermodynamics
Presentation transcript:

Summary Boltzman statistics: Fermi-Dirac statistics: Bose-Einstein statistics: Maxwell-Boltzmann statistics: Problem 13-4: Show that for a system of N particles obeying Maxwell-Boltzmann statistics, the occupation number for the jth energy level is given by

13.7 The Connection between Classical and Statistical thermodynamics U = Σ NJ EJ where EJ = EJ (x) x is an extensive property such as volume (see eqn 12.21!) Differentiate the above equation Since

define For two states with the same X For classical thermodynamics

Since dQ = T·dS and dW = PdV = YdX The first equation illustrates that the heat transfer is energy resulting in a net redistribution of particles among the available energy levels involving NO WORK!

The equation could be interpreted as: An increase in the system’s internal energy could be brought by a decrease in volume with an associated increase in the EJ. the energy levels are shifted to higher values with no redistribution of the particles among the levels. For an open system, the change in the internal energy is where μ is the chemical potential defined on a per particle.

The Helmholtz function (F = U –TS) can be written as For MB statistics

Now the MB distribution can be rewritten as (similar to those derived in FD and BE statistics)

13.8 Comparison of the three Distributions a = 1 for FD statistics a = -1 for BE statistics a = 0 for MB statistics

BE curve: The distribution is undefined for x < 0 BE curve: The distribution is undefined for x < 0. particles tend to condense in regions where Ej is small, that is, in the lower energy state. FD curve: At the lower levels with Ej – u negative the quantum states are nearly uniformly populated with one particle per state. MB curve: lies between BE and FD curves and is only valid for the dilute gas region: many states are unoccupied. Statistical equilibrium is a balance between the randomizing forces of thermal agitation, tending to produce a uniform population of the energy levels, and the tendency of mechanical systems to sink to the states of lowest energy.

Alternative Statistical Models Microcanonical ensemble: treats a single material sample of volume V consisting of an assembly of N particles with fixed total energy U. The independent variables are V, N, and U. The canonical ensemble: considers a collection of Na identical assemblies, each of volume V. A single assembly is assumed to be in contact through a diathermal wall with a heat reservoir of the remaining Na -1 assemblies. The independent variables are V, N, and T, where T is the temperature of the reservoir. Grand canonical ensemble: consists of open assemblies that can exchange both energies and particles with a reservoir. This is the most general and most abstract model. The independent variables are V, T and u, where u is the chemical potential.

Further comments on degeneracy A microstate is said to be non-degenerate if no two particles have the same energy. Alternative way of defining a non-degenerate system is to say that the number of quantum states with E <kT, >> N, where k is Boltzmann constant, T is the temperature and N is the number of particles. Equation 12.24 can be employed to calculate the number of states contained within the octant.

Example: Calculate the total number of accessible microstates in a system where 100 units of energy have been distributed among three distinguishable particles of zero spin. Solution:

13-10 (a) using results from chapter 9, show that (b) It follows from the statistical definition of the entropy that Consider a system with a chemical potential u = - 0.3eV. By what factor is the number of possible microstates of the system increased when a single particle is added to it at room temperature? (k = 8.617 x 10-5 eVK-1) Solution: (a) using equation 13.53 directly

Chapter 14: The Classical Statistical Treatment of an Ideal Gas

14.1 Thermodynamic properties from the Partition Function All the thermodynamic properties can be expressed in terms of the logarithm of the partition function and its derivatives. Thus, one only needs to evaluate the partition function to obtain its thermodynamic properties!

From chapter 13, we know that for dilute gas system, M-B statistics is applicable, where S= U/T + Nk (ln Z – ln N +1) F= -NkT (ln Z – ln N +1) μ= = – kT (lnZ – lnN) Now one can derive expressions for other thermodynamic properties based on the above relationship.

Internal Energy: We have …

differentiating the above Z equation with respect to T, we have … = (keeping V constant means ε(V) is constant) Therefore, or

Gibbs Function since G = μ N G = - NkT (ln Z – ln N) Enthalpy G = H – TS → H = G + TS H =-NkT(lnZ - ln N) + T(U/T + NklnZ – NklnN + Nk) = -NkTlnZ + NkTlnN + U + NkTlnZ – NkTlnN + NkT = U + NkT = NkT2 + NkT = NkT (1 + T · )

Pressure