PhyslibAlpha.ProbabilisticTheory.HilbertSpace.Unbounded.Existence.GardingVectors
Gårding vectors
i. Overview
Smoothing a vector `ψ` along the orbit of a unitary group against the heat kernel `gₑ(t) = (π ε)^(-1/2) exp(-t² / ε)` gives the Gårding vector `∫ gₑ(t) U t ψ dt`. As `ε → 0` the Gårding vectors converge to `ψ`. Each Gårding vector lies in the domain of the candidate generator, which acts on it by smoothing against the derivative of the kernel.
ii. Key results
- `gaussianKernel` : the heat kernel. - `analyticGardingVector` : the Gårding vector of `ψ`. - `analyticGardingVector_tendsto` : Gårding vectors converge to `ψ` as `ε → 0`. - `stoneCandidateGenerator_analyticGardingVector` : the generator acts on a Gårding vector by smoothing against the derivative of the kernel.
iii. Table of contents
- A. The generator on Gårding vectors
A. The generator on Gårding vectors
Translating a Gårding vector by `U s` translates the kernel. Differentiating under the integral in `s` gives the action of the candidate generator.
22 declarations
Gaussian kernel
Given real numbers and , the Gaussian kernel (or heat kernel) is defined as This function represents a Gaussian distribution with variance and a total integral of over .
Positivity of the Gaussian kernel
For any real number and any real number , the Gaussian kernel defined by is strictly positive, i.e., .
The integral of the Gaussian kernel equals
For any positive real number , the integral of the Gaussian kernel over the real line is equal to :
Integrability of the orbit
Let be a complex Hilbert space. Let be a map such that for all , is a unitary operator, and for each vector , the orbit is continuous. For any and any , the function is integrable on , where is the Gaussian kernel. This integrability arises because the Gaussian kernel is integrable and the function is bounded (with ) and continuous.
Analytic Gårding vector
Given a Hilbert space and a one-parameter group of unitary operators , the analytic Gårding vector of a vector with respect to a parameter is the vector obtained by smoothing along the orbit of the unitary group using the Gaussian heat kernel . It is defined by the Bochner integral: where is the Gaussian kernel of width .
Standard Gaussian kernel
The standard Gaussian kernel is the function from to defined by . This corresponds to the heat kernel evaluated at the parameter .
Positivity of the standard Gaussian kernel
For any real number , the standard Gaussian kernel, defined as , is strictly positive, i.e., .
The standard Gaussian kernel equals `gaussianKernel` with
The standard Gaussian kernel is equal to the Gaussian kernel evaluated at the parameter .
The integral of the standard Gaussian kernel over the real line is equal to .
Integrability of the standard Gaussian kernel
The standard Gaussian kernel , defined as , is integrable on .
Rescaling Identity:
For any positive real number and any real number , the Gaussian kernel satisfies the scaling identity: where is the standard Gaussian kernel. This identity shows that the -dependence in the kernel is cancelled by the Jacobian factor arising from the coordinate transformation .
Analytic Gårding Vector Equals Integral against Standard Gaussian Kernel
Let be a Hilbert space and be a one-parameter group of unitary operators. For any positive real number and any vector , the analytic Gårding vector can be expressed by performing the substitution in its defining integral, resulting in: where is the standard Gaussian kernel.
Gårding Vectors Converge to as
Let be a Hilbert space and be a strongly continuous one-parameter group of operators such that . For any vector , the analytic Gårding vector is defined as where is the Gaussian kernel. As approaches from the right (), the analytic Gårding vectors converge to in the Hilbert space :
Applied to an Analytic Gårding Vector Translates its Kernel by
Let be a Hilbert space and be a strongly continuous one-parameter group of unitary operators on . For any , vector , and , applying the operator to the analytic Gårding vector results in a translation of the Gaussian kernel : where .
The derivative of the Gaussian kernel is
Let be a positive real number. The Gaussian kernel, defined as , is differentiable at any point with derivative
The derivative of the Gaussian kernel is
For any and , the derivative of the Gaussian kernel with respect to is given by
The derivative of the Gaussian kernel is continuous
For any positive real number , the derivative of the Gaussian kernel with respect to is a continuous function.
Bound for the Shifted Derivative of the Gaussian Kernel
Let be a positive real number. For any satisfying and for any , the absolute value of the derivative of the Gaussian kernel evaluated at satisfies the bound:
Integrability of the bound
For any positive real number and any real constant , the function defined by is integrable over .
Differentiability and Derivative of the Orbit at
Let be a complex Hilbert space and let be a strongly continuous one-parameter group of unitary operators on . For any and , let be the analytic Gårding vector defined by where is the Gaussian kernel. Then the map is differentiable at , and its derivative is given by where denotes the derivative of the Gaussian kernel with respect to .
Analytic Gårding vectors belong to the domain of the generator of
Let be a complex Hilbert space and let be a strongly continuous one-parameter group of unitary operators on . For any and any vector , the analytic Gårding vector defined by where is the Gaussian kernel, belongs to the domain of the infinitesimal generator (the stone candidate generator) of the group .
Action of the generator on analytic Gårding vectors:
Let be a complex Hilbert space and let be a strongly continuous one-parameter group of unitary operators on . For any and any vector , let be the analytic Gårding vector defined by the Bochner integral: where is the Gaussian kernel. Then the infinitesimal generator (the stone candidate generator) of the group acts on as: where denotes the derivative of the Gaussian kernel with respect to .
