PhyslibAlpha.ProbabilisticTheory.HilbertSpace.Unbounded.Existence.GardingVectorWitness
Gårding vectors are analytic
i. Overview
Applying the candidate generator `n` times to a Gårding vector gives, up to a power of `i`, the Gårding vector of the `n`-th derivative of the heat kernel. Its norm is at most `‖ψ‖ C^(n + 1) √(n!)`, so every Gårding vector is an analytic vector of the candidate generator.
ii. Key results
- `analyticGardingVector_isAnalyticVector` : Gårding vectors are analytic vectors.
3 declarations
The -th Iterated-Kernel Gårding Vector belongs to the Domain of the Stone Generator
Let be a Hilbert space and be a strongly continuous one-parameter family of unitary operators. Let be the candidate infinitesimal generator (the `stoneCandidateGenerator`) associated with . For any natural number , any positive real width , and any vector , the Gårding vector associated with the -th derivative of the Gaussian kernel , defined as belongs to the domain of the operator .
for Gårding Vectors of Iterated Gaussian Kernels
Let be a Hilbert space and be a strongly continuous one-parameter family of unitary operators. Let be the candidate infinitesimal generator (the `stoneCandidateGenerator`) associated with . Let denote the Gaussian kernel with width , and let be its -th derivative. For any natural number and any vector , define the Gårding vector as Then the application of the generator to this vector satisfies the relation: where is the imaginary unit.
Gårding vectors are analytic vectors for the candidate generator
Let be a complex Hilbert space and be a strongly continuous one-parameter family of unitary operators. Let be the candidate infinitesimal generator (the `stoneCandidateGenerator`) associated with . For any and any vector , the Gårding vector defined by the Gaussian kernel as is an analytic vector for . That is, is in the domain of for all , and there exists a such that the power series converges.
