Gaussian RBF Kernel is Positive Definite #
Proves that the Gaussian radial basis function kernel h ↦ exp(-‖h‖² / 2) is a positive
definite function on any real inner product space. The proof uses three steps: (1) the inner
product kernel ⟨x, y⟩ is positive definite; (2) exponentiation preserves positive
definiteness via the Hadamard series in HadamardExp.lean; (3) the Gaussian kernel factors as
exp(-‖x - y‖² / 2) = exp(-‖x‖² / 2) · exp(-‖y‖² / 2) · exp(⟨x, y⟩), reducing from
the RBF to the inner product kernel.
Step 2: The inner product kernel is positive definite.
Helper: For a real-valued PD kernel, the kernel matrix is PSD. Forward direction of the bridge between complex kernels and real matrices.
Step 3b: Exponential of a symmetric real-valued PD kernel is PD. Uses the Hadamard series machinery from HadamardExp.lean (same as OS3 proof).
The Gaussian RBF kernel is positive definite on any inner product space.