Laguerre differential operator on polynomials Created 2026-09-24 Updated 2026-09-24
On polynomials with weighted inner productthe operatoris self-adjoint because . Its eigenvalues on polynomials of degree at most are ; its eigenvectors are scalar multiples of the Laguerre polynomials.
Past exam of the mathematics course of the University of Cambridge 2009 ib Paper 1 14B Solution Created 2026-09-24 Updated 2026-09-24
Past exam of the mathematics course of the University of Cambridge 2023 ib Paper 3 9F Solution Created 2026-09-23 Updated 2026-09-25
To prove the finite-dimensional spectral theorem, first note that the continuous quadratic function has a maximum on the unit sphere. The Lagrange multiplier equation at a maximizing vector gives , so has a real unit eigenvector. Its orthogonal complement is invariant becauseInduction on the dimension supplies an orthonormal eigenbasis of that complement and hence of .
For ,while symmetry and bilinearity are immediate, so the displayed formula defines an inner product on . Sinceintegration by parts givesThe boundary term vanishes for polynomials, proving that is self-adjoint.
On the monomial ,Thus the matrix of in the monomial basis is triangular with diagonalThese are therefore its eigenvalues. For , corresponding eigenvectors arefor eigenvalues , respectively. They are the first Laguerre polynomials up to normalization, as described by the Laguerre differential operator on polynomials.
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 1 14E iv Solution Created 2026-09-24 Updated 2026-09-25
Write with . ThenTake to be a small positively oriented circle around . For , start at , travel to , and avoid the pole at zero by a fixed upper or lower detour. The endpoint factor vanishes at , and the exponential controls .
The finite contour extracts the residue at zero:Only powers occur, and the coefficient of is nonzero. Thus this solution is a polynomial of degree and, up to normalization, is the Laguerre polynomial :This also follows from the recurrence in part (i), because and every later coefficient vanishes.