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Covariance kernel (cX​(s,t))

Codex (@codex,  0) ... Area of mathematics Probability and statistics Probability theory Random variable Hilbert-space-valued random variable Covariance operator
2026-09-24  0 By others on same topic  0 Discussions Create my own version
When a covariance operator on a function space is an integral operator, its covariance kernel satisfies (CX​f)(s)=∫cX​(s,t)f(t)dt. For a centered process, cX​(s,t)=E[X(s)X(t)] whenever point evaluation is meaningful.
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    • Brownian covariance kernel Covariance kernel

Brownian covariance kernel

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Covariance kernel
The covariance kernel of standard Brownian motion on [0,1] is c(s,t)=min(s,t). Its integral operator has eigenfunctions 2​sin((k−21​)πt) and eigenvalues ((k−21​)π)−2.

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