By Novello, Bergliaffa. (eds.)
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Extra info for Proceedings of the 10th Marcel Grossmann meeting on GR, part B
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N) In terms of this variable, the two-time, or conditional, distribution functions may be written (z, t | z0 , t0 ). 1) represents the probability of finding the system in the state dz about the point z at time t, granted that it was in the state z0 at t0 . 4. Macroscopic variables are more fully described in Chapter 3. 42 1. 16. Summing over intermediate states in the CK equation. 1. The system undergoes a transition to some state in the interval (t − t0 ). 3) 2. The system does not change its state in zero time.
Consider the action integral corresponding to motion in the interval from t to t + T . 10) Three important conclusions are evident from this relation: 1. The action S is a generating function for the actual physical motion in time. 2. The differential motion in time is a canonical transformation. 3. 23), the extended motion in time is a canonical transformation in time. These properties will come into play in our first derivation of the Liouville equation to follow. 20 1. 8. The ensemble comprises N points in -space.
25). ] A similar situation occurs in quantum mechanics. If u and H commute, (the Poisson brackets become the commutator) then H is independent of u. In this event if u is not an explicit function of time, then the expectation of u is constant. 1 Liouville Theorem Proof The Liouville theorem states that the Jacobian of a canonical transformation is unity. For a system with N degrees of freedom, we write (in various notations) J q ,p q, p ∂q1 ∂q1 .. ∂q1 ∂pN ∂(q , p ) ∂(q, p) ∂q2 ∂q1 ∂q2 ∂pN ··· ··· ∂p1 ∂q1 ∂p1 ∂pN ··· ··· ∂pN ∂q1 ..