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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

definition

Gaussian kernel gϵ(t)g_\epsilon(t)

Given real numbers ϵ\epsilon and tt, the Gaussian kernel (or heat kernel) is defined as gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) This function represents a Gaussian distribution with variance σ2=ϵ2\sigma^2 = \frac{\epsilon}{2} and a total integral of 11 over R\mathbb{R}.

theorem

Positivity of the Gaussian kernel gϵ(t)g_\epsilon(t)

For any real number ϵ>0\epsilon > 0 and any real number tt, the Gaussian kernel defined by gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is strictly positive, i.e., gϵ(t)>0g_\epsilon(t) > 0.

theorem

The integral of the Gaussian kernel gϵ(t)g_\epsilon(t) equals 11

For any positive real number ϵ>0\epsilon > 0, the integral of the Gaussian kernel gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) over the real line is equal to 11: ∫−∞∞gϵ(t) dt=1\int_{-\infty}^{\infty} g_\epsilon(t) \, dt = 1

theorem

Integrability of the orbit t↦gϵ(t)Utψt \mapsto g_\epsilon(t) U_t \psi

Let HH be a complex Hilbert space. Let U:R→L(H)U: \mathbb{R} \to \mathcal{L}(H) be a map such that for all t∈Rt \in \mathbb{R}, UtU_t is a unitary operator, and for each vector ψ∈H\psi \in H, the orbit t↦Utψt \mapsto U_t \psi is continuous. For any ϵ>0\epsilon > 0 and any ψ∈H\psi \in H, the function t↦gϵ(t)Utψt \mapsto g_\epsilon(t) U_t \psi is integrable on R\mathbb{R}, where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is the Gaussian kernel. This integrability arises because the Gaussian kernel is integrable and the function t↦Utψt \mapsto U_t \psi is bounded (with ∥Utψ∥=∥ψ∥\|U_t \psi\| = \|\psi\|) and continuous.

definition

Analytic Gårding vector ∫gϵ(t)U(t)ψ dt\int g_\epsilon(t) U(t) \psi \, dt

Given a Hilbert space HH and a one-parameter group of unitary operators U(t)U(t), the analytic Gårding vector of a vector ψ∈H\psi \in H with respect to a parameter ϵ∈R\epsilon \in \mathbb{R} is the vector obtained by smoothing ψ\psi along the orbit of the unitary group using the Gaussian heat kernel gϵ(t)g_\epsilon(t). It is defined by the Bochner integral: ∫−∞∞gϵ(t)U(t)ψ dt\int_{-\infty}^{\infty} g_\epsilon(t) U(t) \psi \, dt where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is the Gaussian kernel of width ϵ\epsilon.

definition

Standard Gaussian kernel g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2}

The standard Gaussian kernel is the function from R\mathbb{R} to R\mathbb{R} defined by x↦1πe−x2x \mapsto \frac{1}{\sqrt{\pi}} e^{-x^2}. This corresponds to the heat kernel gϵ(x)=1πϵe−x2/ϵg_\epsilon(x) = \frac{1}{\sqrt{\pi \epsilon}} e^{-x^2 / \epsilon} evaluated at the parameter ϵ=1\epsilon = 1.

theorem

Positivity of the standard Gaussian kernel g1(x)>0g_1(x) > 0

For any real number xx, the standard Gaussian kernel, defined as g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2}, is strictly positive, i.e., g1(x)>0g_1(x) > 0.

theorem

The standard Gaussian kernel equals `gaussianKernel` with ε=1\varepsilon = 1

The standard Gaussian kernel is equal to the Gaussian kernel gε(t)=(πε)−1/2exp⁡(−t2/ε)g_\varepsilon(t) = (\pi \varepsilon)^{-1/2} \exp(-t^2/\varepsilon) evaluated at the parameter ε=1\varepsilon = 1.

theorem

∫Rg1(x) dx=1\int_{\mathbb{R}} g_1(x) \, dx = 1

The integral of the standard Gaussian kernel g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2} over the real line R\mathbb{R} is equal to 11.

theorem

Integrability of the standard Gaussian kernel

The standard Gaussian kernel g1:R→Rg_1: \mathbb{R} \to \mathbb{R}, defined as g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2}, is integrable on R\mathbb{R}.

theorem

Rescaling Identity: εgε(εx)=g1(x)\sqrt{\varepsilon} g_\varepsilon(\sqrt{\varepsilon} x) = g_1(x)

For any positive real number ε>0\varepsilon > 0 and any real number xx, the Gaussian kernel gε(t)=1πεe−t2/εg_\varepsilon(t) = \frac{1}{\sqrt{\pi \varepsilon}} e^{-t^2/\varepsilon} satisfies the scaling identity: εgε(εx)=g1(x),\sqrt{\varepsilon} g_\varepsilon(\sqrt{\varepsilon} x) = g_1(x), where g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2} is the standard Gaussian kernel. This identity shows that the ε\varepsilon-dependence in the kernel is cancelled by the Jacobian factor ε\sqrt{\varepsilon} arising from the coordinate transformation t=εxt = \sqrt{\varepsilon} x.

theorem

Analytic Gårding Vector Equals Integral against Standard Gaussian Kernel

Let HH be a Hilbert space and UU be a one-parameter group of unitary operators. For any positive real number ε>0\varepsilon > 0 and any vector ψ∈H\psi \in H, the analytic Gårding vector can be expressed by performing the substitution t=εxt = \sqrt{\varepsilon}x in its defining integral, resulting in: analyticGardingVector(U,ε,ψ)=∫−∞∞g1(x)U(εx)ψ dx\text{analyticGardingVector}(U, \varepsilon, \psi) = \int_{-\infty}^{\infty} g_1(x) U(\sqrt{\varepsilon}x) \psi \, dx where g1(x)=1πe−x2g_1(x) = \frac{1}{\sqrt{\pi}} e^{-x^2} is the standard Gaussian kernel.

theorem

Gårding Vectors Converge to ψ\psi as ϵ→0+\epsilon \to 0^+

Let HH be a Hilbert space and U:R→ops(H)U: \mathbb{R} \to \text{ops}(H) be a strongly continuous one-parameter group of operators such that U(0)=IU(0) = I. For any vector ψ∈H\psi \in H, the analytic Gårding vector is defined as ψϵ=∫−∞∞gϵ(t)U(t)ψ dt\psi_\epsilon = \int_{-\infty}^{\infty} g_\epsilon(t) U(t) \psi \, dt where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is the Gaussian kernel. As ϵ\epsilon approaches 00 from the right (ϵ→0+\epsilon \to 0^+), the analytic Gårding vectors converge to ψ\psi in the Hilbert space HH: lim⁡ϵ→0+ψϵ=ψ.\lim_{\epsilon \to 0^+} \psi_\epsilon = \psi.

theorem

U(s)U(s) Applied to an Analytic Gårding Vector Translates its Kernel by ss

Let HH be a Hilbert space and U(t)U(t) be a strongly continuous one-parameter group of unitary operators on HH. For any ϵ>0\epsilon > 0, vector ψ∈H\psi \in H, and s∈Rs \in \mathbb{R}, applying the operator U(s)U(s) to the analytic Gårding vector results in a translation of the Gaussian kernel gϵg_\epsilon: U(s)(∫−∞∞gϵ(t)U(t)ψ dt)=∫−∞∞gϵ(u−s)U(u)ψ duU(s) \left( \int_{-\infty}^{\infty} g_\epsilon(t) U(t) \psi \, dt \right) = \int_{-\infty}^{\infty} g_\epsilon(u - s) U(u) \psi \, du where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right).

theorem

The derivative of the Gaussian kernel gε(t)g_\varepsilon(t) is −2tεgε(t)-\frac{2t}{\varepsilon} g_\varepsilon(t)

Let ε\varepsilon be a positive real number. The Gaussian kernel, defined as gε(t)=(πε)−1/2exp⁡(−t2/ε)g_\varepsilon(t) = (\pi \varepsilon)^{-1/2} \exp(-t^2/\varepsilon), is differentiable at any point t∈Rt \in \mathbb{R} with derivative ddtgε(t)=−2tεgε(t). \frac{d}{dt} g_\varepsilon(t) = -\frac{2t}{\varepsilon} g_\varepsilon(t).

theorem

The derivative of the Gaussian kernel gε(t)g_\varepsilon(t) is −2tεgε(t)-\frac{2t}{\varepsilon} g_\varepsilon(t)

For any ε>0\varepsilon > 0 and t∈Rt \in \mathbb{R}, the derivative of the Gaussian kernel gε(t)=(πε)−1/2exp⁡(−t2/ε)g_\varepsilon(t) = (\pi \varepsilon)^{-1/2} \exp(-t^2/\varepsilon) with respect to tt is given by ddtgε(t)=gε(t)⋅(−2tε).\frac{d}{dt} g_\varepsilon(t) = g_\varepsilon(t) \cdot \left(-\frac{2t}{\varepsilon}\right).

theorem

The derivative of the Gaussian kernel is continuous

For any positive real number ε>0\varepsilon > 0, the derivative of the Gaussian kernel gε(t)=1πεe−t2/εg_\varepsilon(t) = \frac{1}{\sqrt{\pi \varepsilon}} e^{-t^2/\varepsilon} with respect to tt is a continuous function.

theorem

Bound for the Shifted Derivative of the Gaussian Kernel

Let ε\varepsilon be a positive real number. For any x∈Rx \in \mathbb{R} satisfying x2≤1x^2 \leq 1 and for any u∈Ru \in \mathbb{R}, the absolute value of the derivative of the Gaussian kernel gε(t)=(πε)−1/2exp⁡(−t2/ε)g_\varepsilon(t) = (\pi \varepsilon)^{-1/2} \exp(-t^2/\varepsilon) evaluated at u−xu - x satisfies the bound: ∣gε′(u−x)∣≤(2e1/εεπε)(∣u∣+1)exp⁡(−u22ε). |g_\varepsilon'(u - x)| \leq \left( \frac{2 e^{1/\varepsilon}}{\varepsilon \sqrt{\pi \varepsilon}} \right) (|u| + 1) \exp\left( -\frac{u^2}{2\varepsilon} \right).

theorem

Integrability of the bound c(∣u∣+1)e−u2/(2ϵ)c(|u| + 1) e^{-u^2 / (2\epsilon)}

For any positive real number ϵ>0\epsilon > 0 and any real constant cc, the function f:R→Rf: \mathbb{R} \to \mathbb{R} defined by f(u)=c(∣u∣+1)exp⁡(−u22ϵ)f(u) = c(|u| + 1) \exp\left(-\frac{u^2}{2\epsilon}\right) is integrable over R\mathbb{R}.

theorem

Differentiability and Derivative of the Orbit U(s)ψεU(s)\psi_\varepsilon at s=0s=0

Let HH be a complex Hilbert space and let t↦U(t)t \mapsto U(t) be a strongly continuous one-parameter group of unitary operators on HH. For any ε>0\varepsilon > 0 and ψ∈H\psi \in H, let ψε\psi_\varepsilon be the analytic Gårding vector defined by ψε=∫−∞∞gε(t)U(t)ψ dt\psi_\varepsilon = \int_{-\infty}^{\infty} g_\varepsilon(t) U(t)\psi \, dt where gε(t)=(πε)−1/2exp⁡(−t2/ε)g_\varepsilon(t) = (\pi \varepsilon)^{-1/2} \exp(-t^2/\varepsilon) is the Gaussian kernel. Then the map s↦U(s)ψεs \mapsto U(s)\psi_\varepsilon is differentiable at s=0s = 0, and its derivative is given by dds(U(s)ψε)∣s=0=∫−∞∞−gε′(u)U(u)ψ du\left. \frac{d}{ds} (U(s)\psi_\varepsilon) \right|_{s=0} = \int_{-\infty}^{\infty} -g_\varepsilon'(u) U(u)\psi \, du where gε′(u)g_\varepsilon'(u) denotes the derivative of the Gaussian kernel with respect to uu.

theorem

Analytic Gårding vectors belong to the domain of the generator of U(t)U(t)

Let HH be a complex Hilbert space and let t↦U(t)t \mapsto U(t) be a strongly continuous one-parameter group of unitary operators on HH. For any ϵ>0\epsilon > 0 and any vector ψ∈H\psi \in H, the analytic Gårding vector defined by ψϵ=∫−∞∞gϵ(t)U(t)ψ dt\psi_\epsilon = \int_{-\infty}^{\infty} g_\epsilon(t) U(t) \psi \, dt where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is the Gaussian kernel, belongs to the domain of the infinitesimal generator (the stone candidate generator) of the group UU.

theorem

Action of the generator on analytic Gårding vectors: Aψϵ=i∫gϵ′(t)U(t)ψ dtA \psi_\epsilon = i \int g_\epsilon'(t) U(t) \psi \, dt

Let HH be a complex Hilbert space and let U(t)U(t) be a strongly continuous one-parameter group of unitary operators on HH. For any ϵ>0\epsilon > 0 and any vector ψ∈H\psi \in H, let ψϵ\psi_\epsilon be the analytic Gårding vector defined by the Bochner integral: ψϵ=∫−∞∞gϵ(t)U(t)ψ dt\psi_\epsilon = \int_{-\infty}^{\infty} g_\epsilon(t) U(t) \psi \, dt where gϵ(t)=1πϵexp⁡(−t2ϵ)g_\epsilon(t) = \frac{1}{\sqrt{\pi \epsilon}} \exp\left(-\frac{t^2}{\epsilon}\right) is the Gaussian kernel. Then the infinitesimal generator AA (the stone candidate generator) of the group UU acts on ψϵ\psi_\epsilon as: Aψϵ=i∫−∞∞gϵ′(u)U(u)ψ duA \psi_\epsilon = i \int_{-\infty}^{\infty} g_\epsilon'(u) U(u) \psi \, du where gϵ′(u)g_\epsilon'(u) denotes the derivative of the Gaussian kernel with respect to uu.