What is the Gibbs Paradox

Slides:



Advertisements
Similar presentations
The microcanonical ensemble Finding the probability distribution We consider an isolated system in the sense that the energy is a constant of motion. We.
Advertisements

For a closed system consists of n moles, eq. (1.14) becomes: (2.1) This equation may be applied to a single-phase fluid in a closed system wherein no.
CHAPTER 14 THE CLASSICAL STATISTICAL TREATMENT OF AN IDEAL GAS.
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.
1 Lecture 5 The grand canonical ensemble. Density and energy fluctuations in the grand canonical ensemble: correspondence with other ensembles. Fermi-Dirac.
Chapter 2 Statistical Thermodynamics. 1- Introduction - The object of statistical thermodynamics is to present a particle theory leading to an interpretation.
Thermo & Stat Mech - Spring 2006 Class 14 1 Thermodynamics and Statistical Mechanics Kinetic Theory of Gases.
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.
Thermodynamics and the Gibbs Paradox Presented by: Chua Hui Ying Grace Goh Ying Ying Ng Gek Puey Yvonne.
Ch 9 pages ; Lecture 21 – Schrodinger’s equation.
PHYS 3313 – Section 001 Lecture #17
Chapter 3 Phase Transitions and Chemical Reactions.
MSEG 803 Equilibria in Material Systems 6: Phase space and microstates Prof. Juejun (JJ) Hu
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
IPQI – Gibbs paradox and Information Gibbs’ Paradox and Quantum Information Unnikrishnan. C. S. Gravitation Group & Fundamental Interactions Lab Tata Institute.
Lecture 21. Grand canonical ensemble (Ch. 7)
The Ideal Monatomic Gas. Canonical ensemble: N, V, T 2.
1. (1.3) (1.8) (1.11) (1.14) Fundamental equations for homogeneous closed system consisting of 1 mole:
Wednesday, Oct. 17, 2012PHYS , Fall 2012 Dr. Jaehoon Yu 1 PHYS 3313 – Section 001 Lecture #13 Wednesday, Oct. 17, 2012 Dr. Jaehoon Yu Properties.
The Quantum Theory of Atoms and Molecules The Schrödinger equation and how to use wavefunctions Dr Grant Ritchie.
6. Coping with Non-Ideality SVNA 10.3
Chapter 14: The Classical Statistical Treatment of an Ideal Gas.
CHEE 311J.S. Parent1 4. Chemical Potential in Mixtures When we add dn moles of a component to n moles of itself, we will observe (?) a change in Gibbs.
Generalized van der Waals Partition Function
Chapter 6: Basic Methods & Results of Statistical Mechanics
General Physics 1 Hongqun Zhang The Department of Physics, Beijing Normal University June 2005.
ENZO ZANCHINI Università di Bologna AVAILABILITY FUNCTIONS AND THERMODYNAMIC EFFICIENCY 2. Conditions for mutual.
Gibbs-Duhem and the Chemical Potential of Ideal Solutions
The Quantum Theory of Atoms and Molecules
Chapter 6 Applications of
Ewha Womans University, Seoul, Korea
Prepared By: Bhadka Ravi H. Guided By: Mr. P. L. Koradiya
Classical Ideal Gas.
Solution of Thermodynamics: Theory and applications
The units of g(): (energy)-1
Entropy in statistical mechanics. Thermodynamic contacts:
CHAPTER 5 The Schrodinger Eqn.
Special Theory of Relativity
Fundamentals of Quantum Electrodynamics
Ideal Gas in the Canonical Ensemble
Gibbs Paradox: More discussion
Gibbs Paradox � The Gibbs paradox involves the contrast between mixing two quantities of (ideal) gases of a different kind and that of mixing two quantities.
Boltzmann statistics Reservoir R U0 -  Combined system U0 = const
Chapter 9 The chemical potential and open systems.
CHAPTER 5 The Schrodinger Eqn.
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.
Classical Statistical Mechanics in the Canonical Ensemble: Application to the Classical Ideal Gas.
Equipartition of energy (….and some problems with
Chapter 14: The Classical Statistical Treatment of an Ideal Gas
Entropy of an Ideal Monatomic Gas 1
Thermodynamics & Gibbs Paradox
Supersymmetric Quantum Mechanics
Thermodynamics and the Gibbs Paradox
Homework Solution Consider two energy levels at i = 2.05 x 10-21J and j = 2.64 x 10-21J. The occupation numbers of these in a particular system at.
Quantum One.
Classical Ideal Gas.
Chapter 1: Statistical Basis of Thermodynamics
Maxwell-Boltzmann Statistics
Total Energy is Conserved.
Introduction to Statistical
The Basic (Fundamental) Postulate of Statistical Mechanics
Phase space.
Rayat Shikshan Sanstha’s S. M. Joshi College, Hadapsar
Introduction to Statistical & Thermal Physics (+ Some Definitions)
Lecture 11a Ideal gas Number of states and density of states
PHYS 3313 – Section 001 Lecture #18
Gibb’s Paradox Sarah Marie Maddox.
Quantum One.
Presentation transcript:

What is the Gibbs Paradox and do we need Quantum mechanics to resolve it? Jos Uffink Institute of History and Foundations of Science, Utrecht University, uffink@phys.uu.nl June 29, 2010

Contents 1. Introduction The Gibbs paradox in thermodynamics The Gibbs paradox in statistical mechanics

1. Introduction � The Gibbs paradox involves the contrast between mixing two quantities of (ideal) gases of a different kind and that of mixing two quantities of the same gas. � In the case of different gases, mixing is accompanied by an entropy increase ∆S = 2R log 2; in the case of same gases there is no entropy change: ∆S = 0. � This paradox is a useful probe for inter-theory relations: Thermodynamics vs Statistical Mechanics Thermodynamics vs. Quantum Mechanics Statistical Mechanics vs. Quantum Mechanics

Main claims: � What is understood by “the Gibbs paradox” is not the same in these different contexts. Before ±1900: How can ∆S change discontinuously when gases become more and more similar? After ±1920: Why should the partition function be divided by N!? Main Question: how did this reconceptualization relate to the birth of quantum statistics?

The Gibbs paradox in thermodynamics gas A gas B p, V , T p, V , T

The Gibbs paradox in thermodynamics gas A gas B p, V , T p, V , T gas mixture A + B p, 2V , T Entropy change: ∆S := SA+B − (SA + SB )= 2R log 2 But is A is identical to B then ∆S =0

Gibbs 1876 It is noticable that the value of this expression does not depend on the kinds of gases considered, except that they must be of different kinds. If we should bring into contact two masses of the same gas, they would also mix, but there would be no increase of entropy. [. . . ] But if such considerations explain why the mixture of gases of the same kind stands on a different footing from the mixture of gases of different kinds, the fact is no less significant that the increase of entropy [. . . ] is independent of the nature of the gases. Now we may without violence to the general laws of gases suppose other gases to exist than such as actually do exist and there does not appear to be any limit to the resemblance which there might be between two such kinds of gas. But the entropy of mixing would be independent of the degree of similarity or dissimilarity. [. . . ] In such respects, entropy stands strongly contrasted with energy.

What assumptions are being used? ideal gases Dalton’s law additivity of entropy extensivity of entropy A naive derivation: v v SA(V , T ) SB (V , T ) = c A log T + R log V c B log T + R log V SA+B (V , T ) ∆S := (c A + c B ) log T + 2R log 2V v v SA+B − (SA + SB )= 2R log 2 (1) But if A ≡ B SA+A = SA(2V , T )= 2SA(V , T ) Hence ∆S =0

Gibbs sent out offprints to many colleagues Gibbs sent out offprints to many colleagues. His work became known in France through a treatment of Duhem and Germany through Ostwald’s translation. The first to express misgivings were C. Neumann (1891): Trotz alledem heftet sich an den Satz ein gewisses Misstrauen, in folge der Umstandes dass derselve ungu¨ltig wiurd sobald A und B zwei Quantit¨aten desselben Gases sind. Sehe z.B. Gibbs durch welche aber in meinen Augen die hier vorhandene Dunkelheit nicht ganz beseitigt wird. Wiedeburg 1894 Das Gibbs’sche Paradoxon. But there were earlier pertinent discussions on related issues between Duhem (1882) and Poincar´e (1892).

Views on the Gibbs paradox in TD conventionalism Entropies in thermodynamics are really only defined up to a (conventional) constant. So, (taking c A = c B = c v v SA(V , T ) = c log T + R log V + KA SB (V , T ) c log T + R log V + KB SA+B (V , T ) 2c log T + 2R log 2V + KA+B ∆S 2R log 2 + KA+B − KA − KB Duhem (1882) makes the assumption that KA+B = KA + KB but he is criticized by Poincar´e: If we express entropy as a function of (V , p) instead we obtain SA(V , p) = c log p + (R + c ) log V + KA t etc., which leads to ∆S = 2(R + c ) log 2 + Kt − Kt − Kt A+B A B Assuming KA+B = KA + KB yields an entirely different ∆S But why is one more obvious than the other? t t t

Views on the Gibbs paradox in TD � (Operationalism) Wiedeburg 1894: Changes in entropy two states are only defined when there exists a quasistatic process between these states. From the mixed state of different gases A and B we can quasistatically go to the unmixed states by assuming the existence semi-permeable membranes. But if A = B, the existence of a semipermeable membrane is self-contradictory. That explains the paradox. Cf: Bridgman(1941): To say that two gases are different means there is no way to separate them. Conversely, to say that gases are the same means there is no way to separate them. � The discontinuity is explained through a corresponding discontinuity in the ‘universe of operations’.

� Observer-dependence (Maxwell 1878, Grad 1961, Van Kampen 1984, Jaynes 1992): There is no real matter of fact about whether gases are really “the same”, but rather as conventional choice: Any observer who regards different gases as the same may consistently use an entropy assignment in which ∆S = 0.

The Gibbs paradox in statistical mechanics � consider a classical ideal gas of N ‘entirely similar’ particles, i.e., its Hamiltonian H(--q1, --p1; ... ; --qN , --pN ) is permutation invariant. � Should the phase points x = (--q1, --p1; ... , --qN , --pN ) and xt = Πx be identified or not? (with Π any permutation of {1,... N}). � Gibbs distinguishes two points of view, but does not choose sides: � Generic: Yes, x is the same state as x i. � Specific No, x and x i are different. “the question is to be decided in accordance with the requirements of practical convenience of the problems with which we are engaged.”

partition function expectations Entropy Phase space Specifi c Γ Generic Γ˜ = Γ/{Π} phase space volume dx d x˜ = dx /N! −βH(x ) Z˜ = Z /N! partition function expectations Entropy Z = rΓ e dx (A)s = 1 Ae−βHdx Z rΓ (A)g = 1 Ae−βHd x˜ Z˜ rΓ S = ∂ (kT log Z ) S˜ = ∂ (kT log Z˜ ∂T ∂T Only difference between specific and generic view in canonical ensemble is in the entropy S˜ = S − log N! ≈ S − N log N − N (But since N is constant in the canonical ensemble, this term can be absorbed in in the arbitrary additive constant.) There are no empirical differences between the specific and generic viewpoints with a fixed N. But Gibbs prefers generic viewpoint.

for an ideal gas one gets (ignoring terms depending only on T 3 S = kN log V not extensive 2 S˜ = 3 k log V /N extensive 2 For the entropy of mixing in the specific point of view ∆S = S(2V , 2N) − 2S(V , N)= 3kN log 2 same gases ∆S = 3kN log 2 different gases In generic viewpoint ∆S = 0 ∆S = 3kN log 2 Hence, in the generic viewpoint we reproduce the Gibbs paradox of TD!

QM to the rescue Von Neumann (1933) discusses a gas of boxes, each containing a single quantum particle in state |ψ) |φ) |ψ) |φ) |ψ) |ψ) |φ) |φ) |ψ) |φ) |ψ) |ψ) |φ) |ψ) |ψ) |φ) |ψ) |φ) |φ) |ψ) |φ)

� Von Neumann assumes the entropy of the gas mixture is determined by the density operator W = 1 (|ψ)(ψ| + |φ)(φ|). 2 � He argues that S = −NkTrW log W , by considering two special cases: if |φ) = |ψ): if |ψ)⊥ |φ) : ∆S =0 ∆S = Nk log 2. � He claims that the paradox (discontinuity) is solved since ∆S will vary gradually between these two extremes, as a function of |(ψ||φ)|.

Schr¨odinger (1952, p.61) It was a famous paradox pointed out by W.Gibbs that the same entropy increase must not be taken into account when the molecules are of the same kind, although, according to the naive view, diffusion takes place then too, but unnoticable to us. The modern view solves this paradox by declaring that the second case is no real diffusion because exchange between like particles is not a real event.

D