PREVIOUS SECTION: On sigma-algebras, generated by a sequence of r.v.'s., I
(3). A stationary sequence of r.v.'s.
Definition 12 | A sequence ![]() ![]() |
In particular, all are identically
distributed and all finite-dimensional vectors
are i.d. (for a fixed
).
Examples
1) - i.i.d.
2)
3) ,
Introduce a shift transformation
on the set of
-measurable
(or
-measurable) r.v.'s:
1)
2) if , then
3) if , then
.
Note: is measure-preserving:
.
Introduce a shift transformation on
(or
):
iff
is
measurable iff
is
-valued.
Then
iff
For any , introduce
.
In the case of we can introduce
, too. And
- identical
transformation.
Definition 13 | A ![]() ![]() ![]() ![]() An event |
Note that a.s.
,
Comments, examples...
Definition 14 | A stationary sequence ![]() ![]() ![]() ![]() (or |
Remark 5 | All invariant events (sets)
form a s-algebra
![]() |
Lemma 16 | (1) ![]() ![]() ![]() ![]() (2)
If |
Proof. (1) follows from definitions.
(2) Set , then
and
is invariant
.
But .
QDE
Lemma 17 | If |
Proof. (a) The case ; (b) the
case
.
Problem No.10. Proof at (b) - for you!!! |
1) Set ,
. Then
and . But
2) For , put
.
Note: and
,
Set
and
But .
QDE
Remark 6 | In the case ![]() ![]() ![]() ![]() |
Corollary 3 | Any i.i.d. sequence is stationary ergodic. |
Indeed, is trivial
if
is invariant,
,
and
,
then .
Remark 7 | There exists a number of more weaker conditions
(than i.i.d. ones) that imply the "triviality"
of the tail s-algebra
![]() |
For instance, introduce the following "mixing" coefficients:
One can show that if as
, then
is trivial.
But, in general, there are examples when is not trivial, but
is (i.e.
the sequence is ergodic).
Example ;
Then
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