Vitali convergence theorem
Let be -integrable functions on some measure space, for .
The sequence converges in to a measurable function if and and only if
-
i
the sequence converges to in measure;
-
ii
the functions are uniformly integrable; and
-
iii
for every , there exists a set of finite measure, such that for all .
Remarks
This theorem can be used as a replacement for the more well-known dominated convergence theorem, when a dominating cannot be found for the functions to be integrated. (If this theorem is known, the dominated convergence theorem can be derived as a special case.)
In a finite measure space, condition (iii) is trivial. In fact, condition (iii) is the tool used to reduce considerations in the general case to the case of a finite measure space.
In probability , the definition of “uniform integrability” is slightly different from its definition in general measure theory; either definition may be used in the statement of this theorem.
References
- 1 Gerald B. Folland. Real Analysis: Modern Techniques and Their Applications, second ed. Wiley-Interscience, 1999.
- 2 Jeffrey S. Rosenthal. A First Look at Rigorous Probability Theory. World Scientific, 2003.
Title | Vitali convergence theorem |
---|---|
Canonical name | VitaliConvergenceTheorem |
Date of creation | 2013-03-22 16:17:10 |
Last modified on | 2013-03-22 16:17:10 |
Owner | stevecheng (10074) |
Last modified by | stevecheng (10074) |
Numerical id | 9 |
Author | stevecheng (10074) |
Entry type | Theorem |
Classification | msc 28A20 |
Synonym | uniform-integrability convergence theorem |
Related topic | ModesOfConvergenceOfSequencesOfMeasurableFunctions |
Related topic | UniformlyIntegrable |
Related topic | DominatedConvergenceTheorem |