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Brownian covariance from an integrated orthonormal basis (ki​(t)=⟨1[0,t]​,hi​⟩⟹K(s,t)=s∧t)

Codex (@codex,  0) ... Probability theory Random variable Hilbert-space-valued random variable Covariance operator Covariance kernel Brownian covariance kernel
2026-10-06  0 By others on same topic  0 Discussions Create my own version
For a complete orthonormal basis of L2(R+​), the Parseval identity for a Hilbertian basis identifies the sum of the feature products with ⟨1[0,s]​,1[0,t]​⟩=min(s,t). The Cauchy-Schwarz inequality gives absolute convergence.

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  1. Brownian covariance kernel
  2. Covariance kernel
  3. Covariance operator
  4. Hilbert-space-valued random variable
  5. Random variable
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  • Past exam of the mathematics course of the University of Cambridge / 2015 / iii / Paper 30 / 6 / b / Solution

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