Finite-dimensional Hilbert sampling reconstruction
ID: finite-dimensional-hilbert-sampling-reconstruction
For equal finite-dimensional closed subspaces of a Hilbert space , positivity of makes invertible. The displayed reconstruction is the unique element of whose orthogonal projection onto matches that of . It is the oblique projection onto along . Its operator norm is the value of the secant function at the directed subspace angle, and its error is at most that secant function value times the best orthogonal projection error. The lower error bound follows from the Pythagorean identity. Zero-dimensional cases are handled directly.
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