Compression Covariance and Tangent kernels

Abstract

Let A≥0 be self-adjoint on a Hilbert space H, let Tt=e-tA, and let P be an orthogonal projection. Relative to the decomposition H=PH PH, write \[ Tt=pmatrixCt & V*t\\ Vt & Dt pmatrix, \] where Ct=PTtP|PH, Vt=PTtP|PH, and Dt=PTtP|PH. The compressed family (Ct) consists of positive contractions but need not form a semigroup. Its defect is given by \[ Cs+t-CsCt=V*sVt \] while the complementary block satisfies \[ Ds+t-DsDt=VsV*t. \] Thus the failure of \ Ct\ and \ Dt\ to be semigroups gives two Gram kernels associated with the same off-diagonal maps. We treat these covariance defects as positive definite operator-valued kernels and use their Kolmogorov spaces to recover the hidden dynamics they encode. We then study short-time rescalings of Es,t:=V*sVt. The tangent kernel \[ F(s,t):=0a()-1E s, t \] has its own Kolmogorov space, and the lower-right block dynamics induces a positive self-adjoint contraction semigroup on it. The representing vectors of F then satisfy an additive cocycle identity for this semigroup. This gives an intrinsic restriction on the positive kernels that can arise as short-time compression covariance tangents.

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