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<math>P(B \smallsetminus A) = P(B) - P(A \cap B)</math>
<math>P(B \smallsetminus A) = P(B) - P(A \cap B)</math>


== Definition of Measurable Function ==
== Definition of Measurable Function ==


Let <math>(X, \Sigma)</math> and <math>(Y, \Tau)</math> be measurable spaces, meaning that <math>X</math> and <math>Y</math> are sets equipped with respective sigma algebras <math>\Sigma</math> and <math>\Tau</math>. A function
Let <math>(X, \Sigma)</math> and <math>(Y, \Tau)</math> be measurable spaces, meaning that <math>X</math> and <math>Y</math> are sets equipped with respective sigma algebras <math>\Sigma</math> and <math>\Tau</math>. A function

Revision as of 14:30, 23 August 2012

...

Newton Binomial

Notation of Combinations

A property of Combinations:

Integral of 1/x

Normal law density and CDF

PDF:

CDF:

, where

Continuous r.v. versus Absolutely continuous r.v.

is continuous r.v.

is absolutely continous r.v. , or, in discrete case:

Poisson integral

Integration by parts heuristic

If u = u(x), v = v(x), and the differentials du = u '(xdx and dv = v'(xdx, then integration by parts states that

Liate rule

A rule of thumb proposed by Herbert Kasube of Bradley University advises that whichever function comes first in the following list should be u:[1]

L - Logarithmic functions: ln x, logb x, etc.
I - Inverse trigonometric functions: arctan x, arcsec x, etc.
A - Algebraic functions: x2, 3x50, etc.
T - Trigonometric functions: sin x, tan x, etc.
E - Exponential functions: ex, 19x, etc.

The function which is to be dv is whichever comes last in the list: functions lower on the list have easier antiderivatives than the functions above them. The rule is sometimes written as "DETAIL" where D stands for dv.

Probability of difference of events

Definition of Measurable Function = Measurable Mapping ?

Let and be measurable spaces, meaning that and are sets equipped with respective sigma algebras and . A function

is said to be measurable if for every . The notion of measurability depends on the sigma algebras and . To emphasize this dependency, if is a measurable function, we will write

— Preceding unsigned comment added by 128.211.164.79 (talk) 02:13, 22 August 2012 (UTC)[reply]

Lp space

From undergrad notes: space, where is a space of sequences, where the distance between the sequences is computed with formula . The space will constitute of the sequences with the property . In other words, this space will be made of sequences, such that their distance from the zero sequence is finite.

From Wikipedia: a function spaces defined using a natural generalization of the p-norm for finite-dimensional vector spaces. Let 1 ≤ p < ∞ and (S, Σ, μ) be a measure space. Consider the set of all measurable functions from S to C (or R) whose absolute value raised to the p-th power has finite integral, or equivalently, that

The set of such functions forms a vector space.

  1. ^ Kasube, Herbert E. (1983). "A Technique for Integration by Parts". The American Mathematical Monthly. 90 (3): 210–211. doi:10.2307/2975556. JSTOR 2975556.