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The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment

Defines the second moment of a Borel probability measure on a Hilbert space and the set of those with finite second moment.

Statement

In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, the function x↦∣x∣2x\mapsto|x|^{2} on XX is nonnegative and continuous, since x↦∣x∣x\mapsto|x| is Lipschitz with constant 11 by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity and products of continuous real functions are continuous by Continuity of Sums and Products of Real-Valued Functions on a Metric Space; hence it is Borel by claims 2 and 3 of Borel Measurability and Bounded Integration on a Metric Space, and its integral against every μ∈P(X)\mu\in\mathcal{P}(X) is defined in [0,∞][0,\infty] by Measure Spaces and the Lebesgue Integral: Standing Notation §integral.

1. (Second moment) The second moment of μ∈P(X)\mu\in\mathcal{P}(X) is

M2(μ)=∫X∣x∣2 μ(dx)∈[0,∞].M_{2}(\mu)=\int_{X}|x|^{2}\,\mu(dx)\in[0,\infty].

2. (Finite second moment) P2(X)\mathcal{P}_{2}(X) is the set of all μ∈P(X)\mu\in\mathcal{P}(X) with M2(μ)<∞M_{2}(\mu)<\infty, the Borel probability measures on XX with finite second moment.

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