Hermitian symmetry and bounds for subtraction kernels #
This file records the reality of ψ 0 and symmetry under negation for Hermitian subtraction
kernels (a, b) ↦ ψ (a - b). For positive-semidefinite subtraction kernels, the scalar
Cauchy--Schwarz estimates from TauCeti.Analysis.Matrix.PosSemidef give nonnegativity of
re (ψ 0) and the uniform norm bound ‖ψ z‖ ≤ re (ψ 0). These properties supply the conjugate
symmetry and boundedness used in the Fourier analysis of positive-definite functions.
Main declarations #
Matrix.IsHermitian.map_neg_eq_star: a function with Hermitian subtraction kernel satisfiesψ (-v) = star (ψ v).Matrix.IsHermitian.map_zero_eq_ofReal_re: for anRCLike-valued function with Hermitian subtraction kernel, the value at0is real.Matrix.PosSemidef.map_zero_re_nonnegandMatrix.PosSemidef.norm_apply_le_map_zero_re: for anRCLike-valued function with positive-semidefinite subtraction kernel, the real part of its value at0is nonnegative and bounds the function uniformly in norm.
References #
- C. Berg, J. P. R. Christensen, P. Ressel, Harmonic Analysis on Semigroups (GTM 100, 1984), Chapter 3.
A function with Hermitian subtraction kernel satisfies ψ (-v) = star (ψ v).
The value at 0 of an RCLike-valued function with Hermitian subtraction kernel is real.
The value at 0 of a function with positive-semidefinite subtraction kernel has nonnegative
real part.
A function with positive-semidefinite subtraction kernel is uniformly bounded by the real part
of its value at 0.