[page 634, §1]
[634.1.1] To discuss the question how invariant states can
evolve in time (Problem 2) consider two invariant states
and the straight line
segment
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(31) |
connecting and
.
[634.1.2] Of course
.
[634.1.3] In practical applications
might be a more or less general subset of
, e.g., a KMS-state in
.
[634.1.4] Straight line segments of invariant states are expected
to be physically important for phase transformations at
thermodynamic coexistence.
[634.1.5] Define a weak*-neighbourhood
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(32) |
of -almost invariant
-indistinguishable states near
.
[634.1.6] Depending on the invariant states
and macroscopic algebra
of interest
a similar weak*-neighbourhood
can be defined
for other subsets of
.
[634.2.1] The time translations
with time scale
translate any initial state
along its orbit according to
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(33) |
where denotes the initial instant,
and
the time scale.
[634.2.2] Discretizing time as
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(34) |
with such that
produces
discretized orbits
,
for all
as iterates of
.
[634.2.3] For every initial state
define
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(35) |
as the first return time of into the set
.
[634.2.4] For all invariant
one has
.
[634.2.5] For states
that never return to
one
sets
.
[634.2.6] For all
let
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(36) |
denote the subset of states with recurrence time
with
interpreted as
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(37) |
[634.2.7] The states generate a one parameter
family of resolutions of the identity resulting
in a one parameter family of measures on
denoted as
with
.
[634.2.8] Their mixture
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(38) |
[page 635, §0]
is again an invariant measure on .
[635.0.1] The numbers
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(39) |
define a discrete probability density on .
[635.0.2] It may be interpreted as a properly weighted probability
of recurrence into the neighbourhood
of the straight
line segement
.