Probability theory and stochastic processes Proposition
Characteristic function of a sum of independent random variables
Builds on Characteristic functionExpectation of a product of independent random variablesIndependence of random variables
Statement
Let be independent real random variables, and let . Then for each , the characteristic functions satisfy
Remarks
Proof: . The factors are independent and bounded, so the product rule for expectations applies to their real and imaginary parts. For i.i.d. , . The sample mean has . The converse is false: does not imply that and are independent.
Reading path
To understand this page from the ground up, read these 63 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
- Conditional probability definition
- Random variable definition
- Cumulative distribution function definition
- Discrete random variable definition
- Law of a random variable definition
- Independence of two events definition
- Random variable with a density definition
- Joint probability distribution definition
- Probability mass function definition
- Mutual independence of events definition
- Expected value definition
- Independence of two random variables definition
- Probability density function definition
- Marginal distribution definition
- Independent sigma-algebras definition
- Law of the unconscious statistician statement
- Characteristic function definition
- Independence of random variables definition
- Independence means the joint law is the product of the marginals statement
- Expectation of a product of independent random variables statement
- Characteristic function of a sum of independent random variables statement
Where this leads
1 page builds on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Characteristic_function_(probability_theory), Basic manipulations of distributions
About this page
| Tag | 02JGYG0T7M |
|---|---|
| URI | m2://02JGYG0T7M |
| Kind | statement, proposition |
| Writing | W0 stub |
| MSC | 60E10 |
| Status | This copy of the site has no build data. Run m2 status 02JGYG0T7M. |
| Uses | Characteristic function, Expectation of a product of independent random variables, Independence of random variables |
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