Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Helly–Bray theorem
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
In [[probability theory]], the '''Helly–Bray theorem''' relates the [[convergence in distribution|weak convergence]] of [[cumulative distribution function]]s to the convergence of [[expected value|expectation]]s of certain [[measurable function]]s. It is named after [[Eduard Helly]] and [[Hubert Evelyn Bray]]. Let ''F'' and ''F''<sub>1</sub>, ''F''<sub>2</sub>, ... be cumulative distribution functions on the [[real number|real line]]. The Helly–Bray theorem states that if ''F''<sub>''n''</sub> converges weakly to ''F'', then ::<math>\int_\mathbb{R} g(x)\,dF_n(x) \quad\xrightarrow[n\to\infty]{}\quad \int_\mathbb{R} g(x)\,dF(x)</math> for each [[bounded function|bounded]], [[continuous function]] ''g'': '''R''' → '''R''', where the integrals involved are [[Riemann–Stieltjes integral]]s. Note that if ''X'' and ''X''<sub>1</sub>, ''X''<sub>2</sub>, ... are [[random variable]]s corresponding to these distribution functions, then the Helly–Bray theorem does not imply that E(''X''<sub>''n''</sub>) → E(''X''), since ''g''(''x'') = ''x'' is not a bounded function. In fact, a stronger and more general theorem holds. Let ''P'' and ''P''<sub>1</sub>, ''P''<sub>2</sub>, ... be [[probability measure]]s on some [[Set (mathematics)|set]] ''S''. Then ''P''<sub>''n''</sub> converges weakly to ''P'' [[if and only if]] ::<math>\int_S g \,dP_n \quad\xrightarrow[n\to\infty]{}\quad \int_S g \,dP,</math> for all bounded, continuous and [[real number|real-valued]] functions on ''S''. (The integrals in this version of the theorem are [[Lebesgue–Stieltjes integral]]s.) The more general theorem above is sometimes taken as ''defining'' [[weak convergence of probability measures|weak convergence of measures]] (see Billingsley, 1999, p. 3). ==References== #{{cite book | author=Patrick Billingsley | authorlink=Patrick Billingsley | title=Convergence of Probability Measures, 2nd ed. | publisher=John Wiley & Sons, New York | year=1999 | isbn=0-471-19745-9 | url-access=registration | url=https://archive.org/details/convergenceofpro0000bill }} {{PlanetMath attribution|id=3710|title=Helly–Bray theorem}} {{DEFAULTSORT:Helly-Bray theorem}} [[Category:Theorems in probability theory]]
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)
Pages transcluded onto the current version of this page
(
help
)
:
Template:Cite book
(
edit
)
Template:PlanetMath attribution
(
edit
)