TheoremBase

The Wick-Ordered Phi4Phi^4 Potential on the Torus of Dimension at Most Two: Limit of the Galerkin Potentials Almost Everywhere and in Every LpL^p, Conditional Expectations, Cameron-Martin Derivatives, and the Lower Bound at Each Cutoff

The phi4phi^4 potential is Borel, is the almost-everywhere and LpL^p limit of the Galerkin potentials with rate N(−1/8)N^(-1/8), has them as conditional expectations, and lies in the Cameron-Martin Sobolev space with derivatives in every LpL^p; each Galerkin potential is bounded below by a constant of order CN2C_N^2, uniformly in dimension one.

Statement

In the settings of The Real Numbers: Standing Notation and Background, The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation and Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, the last read with the space X=H−m(Tn)X=H^{-m}(\mathbb{T}^{n}), the orthonormal basis (ej)j∈N(e_{j})_{j\in\mathbb{N}}, the noise weights aa and the variance sequence cc of The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation §gaussian, with the Lebesgue spaces Lp(γc)L^{p}(\gamma_{c}) and norms ∥⋅∥p\lVert\cdot\rVert_{p} of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §lebesgue, suppose n≤2n\le2, and let ϰ,m∈R\varkappa,\mathfrak{m}\in\mathbb{R} with 0<ϰ0<\varkappa. Let VV be the Wick-ordered ϕ4\phi^{4} potential with coupling ϰ\varkappa and mass m\mathfrak{m}, and let VNV_{N}, dNd_{N}, ∂jVN\partial_{j}V_{N}, FN\mathcal{F}_{N}, conditional expectations, H≤4\mathcal{H}_{\le4} and the constant CC be as in The Galerkin Wick-Ordered Phi^4 Potentials on the Torus of Dimension at Most Two under the Free Field: Chaos Order, Conditional Expectations, and Increments with Their Cameron-Martin Derivatives, the constant being that of The Galerkin Wick-Ordered Phi^4 Potentials on the Torus of Dimension at Most Two under the Free Field: Chaos Order, Conditional Expectations, and Increments with Their Cameron-Martin Derivatives §increment; CNC_{N} is the Wick constant at cutoff NN. Dc1,2\mathbb{D}^{1,2}_{c} and the partial derivatives ∂jF\partial_{j}F of its elements are those of Cameron-Martin Partial Derivatives on the Gaussian Sobolev Space with the Variances as Weights §partial. Powers with real exponents are those of Real Power of a Positive Real Number, and ∣s∣|s| is the absolute value of s∈Rs\in\mathbb{R}.

1. (Measurability) VV is Borel.

2. (Limit) For γc\gamma_{c}-almost every x∈Xx\in X the sequence (V2j(x))j∈N(V_{2^{j}}(x))_{j\in\mathbb{N}} converges to V(x)V(x). The class of VV lies in H≤4\mathcal{H}_{\le4}, and for every real p≥2p\ge2 it lies in Lp(γc)L^{p}(\gamma_{c}), with

∥V−VN∥p≤(p−1)2 C1/2 N−1/8for every N∈N.\lVert V-V_{N}\rVert_{p}\le(p-1)^{2}\,C^{1/2}\,N^{-1/8}\qquad\text{for every }N\in\mathbb{N}.

3. (Conditional expectations) For every N∈NN\in\mathbb{N}, VNV_{N} is a conditional expectation of VV given FN\mathcal{F}_{N}.

4. (Cameron-Martin derivatives) For every N∈NN\in\mathbb{N} the class of VNV_{N} lies in Dc1,2\mathbb{D}^{1,2}_{c}, with partial derivatives the classes of the functions ∂jVN\partial_{j}V_{N}. The class of VV lies in Dc1,2\mathbb{D}^{1,2}_{c}, and for every j∈Nj\in\mathbb{N} and every real p≥2p\ge2, ∂jV∈Lp(γc)\partial_{j}V\in L^{p}(\gamma_{c}) and ∥∂jV−∂jVN∥p→0\lVert\partial_{j}V-\partial_{j}V_{N}\rVert_{p}\to0 as N→∞N\to\infty.

5. (Lower bound at each cutoff) For every N∈NN\in\mathbb{N} and x∈Xx\in X,

VN(x) ≥ −BN,BN=(3ϰCN+∣m∣)24ϰ+∣m∣ CN2.V_{N}(x)\ \ge\ -B_{N},\qquad B_{N}=\frac{(3\varkappa C_{N}+|\mathfrak{m}|)^{2}}{4\varkappa}+\frac{|\mathfrak{m}|\,C_{N}}{2}.

6. (Uniform lower bound in dimension one) If n=1n=1, the lattice sum C∞=∑k∈Zμk−1C_{\infty}=\sum_{k\in\mathbb{Z}}\mu_{k}^{-1} is defined by Lattice Sums of Powers of the Fourier Weights in Dimension at Most Two: Power Sums, the Growth of the Wick Constants, and the Quartic Convolution Sums §powers, CN≤C∞C_{N}\le C_{\infty} for every NN, and V(x)≥−B∞V(x)\ge-B_{\infty} for every x∈Xx\in X, where B∞B_{\infty} is the number BNB_{N} with C∞C_{\infty} in place of CNC_{N}.

Proofs

Log in to submit a proof.

Loading...

Citations

Loading…

Dependencies

Loading…

Related

0 relations

Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.

No relations recorded yet.

Comments

Log in to comment.

Loading…