Probability theory and stochastic processes Modes of convergence Theorem
Lévy's continuity theorem
Builds on Characteristic functionConvergence in distributionThe characteristic function determines the distribution
Statement
Let be real random variables with characteristic functions .
- If in distribution, then for each .
- Conversely, suppose that converges to a limit for each , and that is continuous at . Then is the characteristic function of a random variable , and in distribution.
Remarks
Part 1 follows from the definition of convergence in distribution with the bounded continuous functions and . The continuity at in part 2 is necessary. For , tends to , which is not continuous at , and does not converge in distribution. The theorem holds in the same form for random vectors in .
History
The theorem is named after Paul Lévy.
Reading path
To understand this page from the ground up, read these 55 pages in order. The foundations come first.
- Complex numbers object
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Euler's formula statement
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Binary relation definition
- Power set definition
- Universal set definition
- Order on the reals definition
- Function definition
- Complement definition
- Interval definition
- Injective function definition
- Preimage of a set definition
- Sigma-algebra definition
- Countable set definition
- Event definition
- Borel sigma-algebra definition
- Probability axioms concept
- Probability measure definition
- Probability distribution definition
- Probability space definition
- Random variable definition
- Cumulative distribution function definition
- Discrete random variable definition
- Law of a random variable definition
- Random variable with a density definition
- Convergence in distribution definition
- Probability mass function definition
- Expected value definition
- Probability density function definition
- Law of the unconscious statistician statement
- Characteristic function definition
- The characteristic function determines the distribution statement
- Lévy's continuity theorem statement
Where this leads
10 pages build on this one.
Further reading
About this page
| Tag | 0FPWF7TTMB |
|---|---|
| URI | m2://0FPWF7TTMB |
| Aliases | levy-continuity-theorem |
| Kind | statement, theorem |
| Writing | W1 stated |
| MSC | 60E10, 60F05 |
| Status | This copy of the site has no build data. Run m2 status 0FPWF7TTMB. |
| Uses | Characteristic function, Convergence in distribution, The characteristic function determines the distribution |
| Same as |
Markdown · JSON · Edit on GitHub
What this page needs for W2
- edge about out: the concepts that the statement is about (0 of 1)
- edge proves in: at least one proof node (0 of 1)
- edge instance_of or illustrates in: one example that shows the statement at work (0 of 1)
- explanation L2 (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.