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tanglement and the Foundatio of Statistical Mechanic Sandu Popescu Bristol University Hewlett-Packard

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Page 1: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Entanglement and the Foundations of Statistical Mechanics

Sandu Popescu

Bristol University Hewlett-Packard

Page 2: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Tony Short Bristol University

Andreas Winter Bristol University

Yakir Aharonov Tel Aviv University

Noah Linden Bristol University

Page 3: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Large Number of Particles

Lack of Knowledge

Use of Averages

Page 4: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Great Paradox

Subjective lack of knowledge hasobjective physical implications!

Page 5: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Macro state (determined by macroscopic parameters P,V,E)

Number of (micro) states compatible with the macrostate, N

S=lnN Entropy

dS/dE =1/T

Actual (micro) state

Page 6: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

ENSEMBLE AVERAGE

Postulate of equal a-priory probabilities

Gibbs ensemble

Page 7: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

TIME AVERAGE

Ergodicity

Page 8: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Quantum Mechanics: Objective Lack of KnowledgeYakir Aharonov

(0) (t)

S((t) ) = 0

system

environment environment

EntanglementSsystem(t) ≠ 0

Page 9: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Universe (big isolated system)

system environment

HR

R restriction (macroscopic parameters)

Postulate of equal a-priori probabilities: All states in HR are equally probable.

U = IR/dim R S = TrE U = TrE IR /dim R

canonical state

HU =HSHE

Page 10: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Universe (big isolated system)

system environment

HR

R restriction (macroscopic parameters)

The universe is in a well-defined pure state

U =U U S = TrE U = TrE U U

HU =HSHE

Page 11: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

S≈ S for almost all U

Page 12: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Universe (big isolated system)

system environment

HR

R restriction (macroscopic parameters)

Postulate of equal a-priori probabilities

U = IR/dim R

S = TrE U = TrE IR /dim R

HU =HSHE

U = U U

S= TrE U = TrE U U

S≈ S for almost all U

Principle of apparent equal a-priori probabilities

Page 13: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Main Result 1.

|| S- S ||1 ≤ √ (dS / dEeff)

Page 14: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Main Result 2.

V( || S- S ||1 ≥ + √ (dS / dEeff)) ≤ V0 exp(-C dR 2)

HR

Page 15: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Main Tool: Levy’s Lemma

PSd

f: Sd R

V( f(P) - <f> ≥ ) ≤ V0 exp (- C (d+1) 2/2)

2=max f

f() = TrE UU- S1

M1=Tr √(MM+)

Page 16: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard
Page 17: Entanglement and the Foundations of Statistical Mechanics Sandu Popescu Bristol University Hewlett-Packard

Dynamics

HR