Mean-Square Riemann Integral of a Family of Random Variables
definitionProbabilitydef:mean-square-riemann-integral-2026aLet be a probability space, let be real numbers, and let be a family of square-integrable random variables on , with the mean-square norm of that definition.
Let be a partition of , with mesh as defined there, together with tags () forming a tagged partition. The associated mean-square Riemann sum of is the random variable
which is square-integrable by the closure properties recorded in Square-Integrable Random Variables and the Mean-Square Inner Product.
A square-integrable random variable on is a mean-square Riemann integral of over if for every real there is a real such that every mean-square Riemann sum associated with a tagged partition of of mesh less than satisfies
The family is mean-square Riemann integrable on if such an exists.
Notation. When the family is mean-square Riemann integrable on , the symbol
denotes a mean-square Riemann integral of over . Every statement containing this symbol presupposes that the family is mean-square Riemann integrable on and abbreviates the assertion that the statement holds for every random variable that is a mean-square Riemann integral of the family over .
Subintervals and degenerate intervals. For with , the symbol denotes a mean-square Riemann integral of the restricted family over ; its use presupposes that the restricted family is mean-square Riemann integrable on , a hypothesis separate from integrability on . For every we set , and no meaning is assigned to when . Likewise, for every real-valued function and every point of its domain, the degenerate-interval Riemann integral is set equal to ; this convention is unconditional and may be used wherever such a degenerate integral occurs.
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