How does SVM relate to Reproducing Kernel Hilbert Space (RKHS)?

SVM operates in RKHS where kernels define inner products in high-dimensional space.

RKHS provides a mathematical framework where kernel functions act as inner products. SVM optimization happens in this space, allowing nonlinear decision boundaries while maintaining convex optimization properties.