Regard each centered random variable as a vector in the Hilbert space . Thenso is the Gaussian kernel on the finite subset of that Hilbert space. More explicitly,Every power of the inner-product kernel is positive semidefinite, and the closure property of positive-semidefinite kernels under nonnegative sums, pointwise limits, and multiplication by one-variable factors proves that is positive definite.
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