Energy. Simple System Statistical mechanics applies to large sets of particles. Assume a system with a countable set of states.  Probability p n  Energy.

Slides:



Advertisements
Similar presentations
Dr Roger Bennett Rm. 23 Xtn Lecture 19.
Advertisements

Thermodynamic Potentials
Third law of Thermodynamics
S = k ln W A vignette….. Let’s consider a simpler case first Thought experiment: Consider a beaker with a partition right in the middle that starts out.
Thermodynamics versus Statistical Mechanics
General Concepts for Development of Thermal Instruments P M V Subbarao Professor Mechanical Engineering Department Scientific Methods for Construction.
CHAPTER 14 THE CLASSICAL STATISTICAL TREATMENT OF AN IDEAL GAS.
Chapter 3 Classical Statistics of Maxwell-Boltzmann
(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.
Department of Mechanical Engineering ME 322 – Mechanical Engineering Thermodynamics Lecture 19 Calculation of Entropy Changes.
Intermediate Physics for Medicine and Biology Chapter 3: Systems of Many Particles Professor Yasser M. Kadah Web:
Engineering Fundamentals II
Thermo & Stat Mech - Spring 2006 Class 14 1 Thermodynamics and Statistical Mechanics Kinetic Theory of Gases.
Thermal & Kinetic Lecture 13 Calculation of entropy, Introduction to 0 th law Recap…. Some abuses of the 2 nd law LECTURE 13 OVERVIEW Calculation of entropy:
MSEG 803 Equilibria in Material Systems 8: Statistical Ensembles Prof. Juejun (JJ) Hu
Statistical Mechanics
Elements of Thermodynamics Indispensable link between seismology and mineral physics.
Thermo & Stat Mech - Spring 2006 Class 19 1 Thermodynamics and Statistical Mechanics Partition Function.
Observables. Molar System The ratio of two extensive variables is independent of the system size.  Denominator N as particle  Denominator N as mole.
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.
Statistical Mechanics Physics 313 Professor Lee Carkner Lecture 23.
Mathematical Methods Physics 313 Professor Lee Carkner Lecture 20.
* Reading Assignments:
Boltzmann Distribution and Helmholtz Free Energy
Introduction to (Statistical) Thermodynamics
Chapter 7: Thermodynamic Driving Forces “Thermodynamics is Two Laws and a Little Calculus”
Molecular Information Content
MSEG 803 Equilibria in Material Systems 7: Statistical Interpretation of S Prof. Juejun (JJ) Hu
Basic Concepts of Thermodynamics
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.
Dr.Salwa Al Saleh Lecture 11 Thermodynamic Systems Specific Heat Capacities Zeroth Law First Law.
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.
THEORY The argumentation was wrong. Halting theorem!
Summary Boltzman statistics: Fermi-Dirac statistics:
Ch 22 pp Lecture 2 – The Boltzmann distribution.
AMALIA SHOLEHAH JURUSAN TEKNIK METALURGI FT – UNTIRTA THERMODYNAMICS.
Thermodynamics System: Part of Universe to Study. Open or Closed boundaries. Isolated. Equilibrium: Unchanging State. Detailed balance State of System:
Chapter 14: The Classical Statistical Treatment of an Ideal Gas.
ACTIVITY AND ACTIVITY COEFFICIENT
Monatomic Crystals.
Other Partition Functions
Statistical Mechanics and Multi-Scale Simulation Methods ChBE
Chapter 6: Basic Methods & Results of Statistical Mechanics
Classical Thermodynamics of Solutions
Made by, Vasava vipul [ ]. Thermodynamics Thermodynamics is the science of energy conversion involving heat and other forms of energy, most.
Too many particles… can’t keep track! Use pressure (p) and volume (V) instead. Thermal Physics.
Ch 2. THERMODYNAMICS, STATISTICAL MECHANICS, AND METROPOLIS ALGORITHMS 2.6 ~ 2.8 Adaptive Cooperative Systems, Martin Beckerman, Summarized by J.-W.
Chapter 18: The Laws of Thermodynamics  Thermodynamics is the study of heat and work  We have already discussed the 3 rd law - It is impossible to lower.
Physics 2 – Feb 21, 2017 P3 Challenge – a) What is the average kinetic energy of a molecule of oxygen gas at 298 K? b) What is the root mean square velocity.
Chapter 6 Applications of
Statistical Mechanics
The units of g(): (energy)-1
The Third Law of Thermodynamics
Boltzmann statistics Reservoir R U0 -  Combined system U0 = const
Chapter 9 The chemical potential and open systems.
Don’t be in a such a hurry to condemn a person because he doesn’t do what you do, or think as you think. There was a time when you didn’t know what you.
Definition of An Instrument
Energy Fluctuations in the Canonical Ensemble
Thermodynamics Universe Surroundings System Heat Work Mass
The First Law of Thermodynamics
Chapter 1: Statistical Basis of Thermodynamics
Chapter 5 Simple Applications of Macroscopic Thermodynamics
Introduction to Statistical
Thermodynamics Universe Surroundings System Heat Work Mass
The Grand Canonical Ensemble
Introduction to Statistical & Thermal Physics (+ Some Definitions)
Chapter 6 Introduction and Basic Concepts Thermodynamics
Presentation transcript:

Energy

Simple System Statistical mechanics applies to large sets of particles. Assume a system with a countable set of states.  Probability p n  Energy level E n The entropy and mean energy follow from the distribution.

Canonical System A canonical system assumes no material exchange. The entropy is expressed in terms of the energy of states.  Link to mean energy The linkage can be expressed as a differential.

Boundaries Statistical systems are bounded.  Macroscopic measures  Population N  Volume V Heat energy may be exchanged through the boundary.  Permissive – diathermal  Preventive – adiabatic diathermal Q adiabatic N, V

Energy Shift The differential for energy can be expanded in terms of the system properties.  Number, volume  Other total measures  Not temperature The summed change with volume is the pressure P. The summed change with number is the chemical potential .

Entropy Shift The differential change in entropy can now be expressed in terms of the other changes.  Use U for mean total energy  Replace T = 1/k  The differential implies that entropy is a function of the macroscopic variables.

Extensive Variables Extensive variables measure the size of a system.  Eg. energy, volume, number An extensive function scales linearly with the extensive variables. Entropy is ideally an extensive function.

Conjugate Forces The partial derivatives associated with the extensive variables are conjugate forces.  Pressure with volume  Chemical potential with particle number Other extensive variables beyond the simple system have conjugate forces.  Multiple chemical potentials  Magnetic field with magnetization

Equation of State When the entropy is known for a system, the partial derivatives give the fundamental relationships. Written in terms of observables, this becomes an equation of state.  For example ideal gases  Three equations of state Sackur-Tetrode

Third Law of Thermodynamics Scaling implies if an extensive variable is zero, then entropy is zero.  No information uncertainty  Fails for ground state energy Nernst’s theorem states that the temperature approaches zero, the entropy becomes constant.  Zero for quantum  Arbitrary but assigned zero for classical distribution ground state E 0  E 1 >> 1

Equilibrium Axioms The conditions for thermostatic equilibrium are: 1.Macroscopic equilibrium states of simple systems are determined by the extensive variables. 2.All the information is contained in the entropy. 3.The entropy is a continuous, differentiable function. 4.The entropy is monotonically increasing in energy and invertible for energy. 5.The entropy approaches zero when temperature approaches zero.