chua thermodynamics
TRANSCRIPT
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Thermodynamics andthe Gibbs Paradox
Presented by: Chua Hui Ying Grace
Goh Ying Ying
Ng Gek Puey Yvonne
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Overview
The three laws of thermodynamics
The Gibbs Paradox
The Resolution of the Paradox
Gibbs / Jaynes
Von Neumann
Shu Kun Lin’s revolutionary idea
Conclusion
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The Three Laws of Thermodynamics
1st Law Energy is always conserved
2nd Law Entropy of the Universe always increase
3rd Law
Entropy of a perfect crystalline substance istaken as zero at the absolute temperatureof 0K.
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Unravel the mysteryof The Gibbs Paradox
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The mixing of
non-identical gases
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Shows obvious increase in entropy (disorder)
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The mixing of identical gases
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Shows zero increase in entropy as action is reversible
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Compare the two scenarios of
mixing and we realize that……
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To resolve the Contradiction
Look at how people do this
1. Gibbs /Jaynes
2. Von Neumann
3. Lin Shu Kun
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Gibbs’ opinion
When 2 non-identical gases mix and entropyincrease, we imply that the gases can be
separated and returned to their original state When 2 identical gases mix, it is impossible to
separate the two gases into their originalstate as there is no recognizable difference
between the gases
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Gibbs’ opinion (2)
Thus, these two cases stand ondifferent footing and should not be
compared with each other The mixing of gases of different kinds
that resulted in the entropy change wasindependent of the nature of the gases
Hence independent of the degree of similarity between them
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Entropy
Smax
Similarity
S=0
Z=0 Z = 1
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Jaynes’ explanation
The entropy of a macrostate is given as
)(log)( C W k X S
Where S(X) is the entropy associated with a chosen
set of macroscopic quantities
W(C) is the phase volume occupied by all the
microstates in a chosen reference class C
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Jaynes’ explanation (2)
This thermodynamic entropy S(X) is not aproperty of a microstate, but of a certain
reference class C(X) of microstates For entropy to always increase, we need to
specify the variables we want to control andthose we want to change.
Any manipulation of variables outside thischosen set may cause us to see a violation of the second law.
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Von Neumann’s Resolution
Makes use of the quantum mechanicalapproach to the problem
He derives the equation
2log21log11log12
Nk S
Where measures the degree of orthogonality, which
is the degree of similarity between the gases.
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Von Neumann’s Resolution (2)
Hence when = 0 entropy is at its highestand when = 1 entropy is at its lowest
Therefore entropy decreases continuouslywith increasing similarity
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Entropy
Smax
SimilarityS=0
Z=0 Z = 1
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Resolving the Gibbs Paradox - Using Entropy and its
revised relation with Similarity proposed by Lin Shu Kun.
• Draws a connection between information theory and entropy
• proposed that entropy increases continuously with similarityof the gases
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Analyse 3 concepts!
(1) high symmetry = high similarity,
(2) entropy = information loss and
(3) similarity = information loss.
Why “entropy increases with similarity” ?
Due to Lin’s proposition that
• entropy is the degree of symmetry and
• information is the degree of non-symmetry
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(1) high symmetry = high similarity
• symmetry is a measure of indistinguishability
• high symmetry contributes to high indistinguishability
similarity can be described as a continuous measure ofimperfect symmetry
High Symmetry Indistinguishability High
similarity
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(2) entropy = information loss
an increase in entropy means an increase in
disorder.
a decrease in entropy reflects an increase in order.
A more ordered system is more highly organized
thus possesses greater information content.
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Do you have any
idea what the picture is all about?
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From the previous example,
• Greater entropy would result in least information registered
Higher entropy , higher information loss
Thus if the system is more ordered,
• This means lower entropy and thus less information loss.
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(3) similarity = information loss.
1 Particle (n-1) particles
For a system with distinguishable particles,
Information on N particles
= different information of each particle
= N pieces of information
High similarity (high symmetry)
there is greater information loss .
For a system withindistinguishable particles,
Information of N particles
= Information of 1 particle
= 1 piece of information
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Concepts explained:
(1) high symmetry = high similarity
(2) entropy = information loss and
(3) similarity = information loss
After establishing the links between the various concepts,
If a system is
highly symmetrical high similarity
Greater information lossHigher entropy
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The mixing of identicalgases (revisited)
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Lin’s Resolution of the Gibbs Paradox
Compared to the non-identical gases, we have lessinformation about the identical gases
According to his theory,
less information=higher entropy
Therefore, the mixing of gases should result in anincrease with entropy.
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Comparing the 3 graphs
Entropy
Smax
Similarity
S=0
Z=0 Z = 1
Entropy
Smax
Similarity
S=0
Z=0 Z = 1 Z=0
Entropy
Smax
Similarity
S=0
Z = 1
Gibbs Von Neumann Lin
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Why are there different ways inresolving the paradox?
Different ways of considering Entropy
Lin —Static Entropy: consideration of configurations of fixed particles in a system
Gibbs & von Neumann —Dynamic Entropy:dependent of the changes in the dispersal of energy in the microstates of atoms andmolecules
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We cannot compare the twoways of resolving the paradox!
Since Lin’s definition of entropy isessentially different from that of Gibbsand von Neumann, it is unjustified tocompare the two ways of resolving the
paradox.
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Conclusion
The Gibbs Paradox poses problem tothe second law due to an inadequate
understanding of the system involved. Lin’s novel idea sheds new light on
entropy and information theory, but
which also leaves conflicting grey areasfor further exploration.
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Acknowledgements
We would like to thank
Dr. Chin Wee Shong for her support and
guidance throughout the semesterDr Kuldip Singh for his kind support
And all who have helped in one way or another