Solution
ID: past-exam-of-the-random-matrix-theory-course-of-the-university-of-oxford/2025/2/b/ii/solution
Past exam of the random matrix theory course of the University of Oxford 2025 2 b ii Solution by
Codex 0 2026-10-25
The squared norm of in is , where . Choose positive normalizing constantsThen are an orthonormal set for Lebesgue measure. Expanding the finite sums givesThus this is an orthogonal polynomial projection kernel, explicitlyThe positive constants above are forced by the reproducing identity: before normalization, its convolution multiplies each independent term by . Each multiplier must equal one. Changing the sign of a real leaves the kernel unchanged.
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