Let
denote a measure space and let
for
. The sequence
converges to
in measure if
for any
. Furthermore, the sequence
is Cauchy in measure if for every
as
[1]
Properties
- If
in measure and
in measure, then
in measure.[2]
- If
in measure and
in measure, then
in measure if this is a finite measure space. [2]
Relation to other types of Convergence
- If
in
then
in measure [1]
- If
in measure, then there exists a subsequence
such that
almost everywhere.[1]
- If
and
measurable s.t.
almost everywhere Then
in measure.[3]
References
- ↑ 1.0 1.1 1.2 Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, second edition, §2.4
- ↑ 2.0 2.1 Craig, Katy. MATH 201A HW 8. UC Santa Barbara, Fall 2020.
- ↑ Craig, Katy. MATH 201A Lecture 18. UC Santa Barbara, Fall 2020.