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Uniqueness of Wiener measure
Statement
Assume the Axiom of Choice. There is exactly one probability measure on for which the coordinate process is centered Gaussian with That probability is Wiener measure.
Facts & Assumptions
Given: AC, the uoc path space , and its coordinate maps .
Wiener measure exists as a probability on , and its coordinate process has the Brownian finite-dimensional distributions. A Brownian motion is equivalently a centered Gaussian process with covariance , in addition to path continuity. Wiener measure on continuous path space Brownian motion The Axiom of Choice
Gaussian processes with identical mean and covariance functions have identical finite-dimensional laws, including singular laws and repeated-time lists. Mean and covariance determine Gaussian finite-dimensional laws
The Borel sigma-algebra of is generated by the nonnegative rational coordinate maps. Borel sigma-algebra of continuous path space is generated by coordinates
A lambda-system contains the whole space, relative differences of nested members, and increasing countable unions. Measures are continuous from below, and a lambda-system containing a pi-system contains the sigma-algebra generated by that pi-system. Lambda-systems, or Dynkin systems Continuity from below for measures Dynkin's pi-lambda theorem
Proof
By [F1], Wiener measure is a probability measure on and its coordinate process is centered Gaussian with covariance . Thus at least one probability with the stated property exists. AC is used here through the normal-law and Brownian construction interfaces; the uniqueness argument below makes no further use of it.
Let and be two probabilities with the stated property. By [F2], for every , every nonnegative rational list (with repetitions allowed), and Borel sets , Indeed this is equality of the two finite-dimensional laws on the Borel rectangle . The same equality is trivial for the empty intersection .
Let be the family of the finite intersections in step 1.2, including the empty intersection . It is a pi-system because the intersection of two members is obtained by concatenating their two finite lists. Moreover : the family contains every one-coordinate set , while every member is a finite intersection of such sets; now apply [F3].
Put . It contains because both measures have total mass one. If and , finite additivity gives . If with every , continuity from below gives . Hence is a lambda-system. Step 1.2 says , so [F4] and step 2.1 give . Thus .
Step 1.1 proves existence and step 3.1 proves uniqueness, so Wiener measure is exactly the asserted probability. The covariance at time zero is zero, singleton laws and singular repeated-time vectors are covered by [F2], and both directions of “exactly one” have been established.
Source notes
Durrett constructs Wiener measure from Brownian finite-dimensional laws. The local proof supplies the rational-cylinder pi-system and the complete pi-lambda uniqueness argument.
Depends on
- Wiener measure on continuous path space
- Brownian motion
- Borel sigma-algebra of continuous path space is generated by coordinates
- Mean and covariance determine Gaussian finite-dimensional laws
- Lambda-systems, or Dynkin systems
- Continuity from below for measures
- Dynkin's pi-lambda theorem
- The Axiom of Choice
Used by
- Brownian scaling Theorem
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Sources
- Rick Durrett, Probability: Theory and Examples, Section 7.1 (standard reference, not scraped)