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Finite Euclidean quartic interacting measure

Definition

Assume the Axiom of Choice. Let N≥1 be finite and let C be a real symmetric positive-semidefinite N×N matrix; positive-semidefinite means uTCu≥0 for every u∈RN. The centered multivariate normal Borel probability law with covariance C is γC:=NN(0,C) as defined by Multivariate normal law, including singular covariance: every linear projection q↦uTq has scalar normal law N(0,uTCu), and the law exists even when C is singular. Here N(0,σ2) is the law specified in Standard normal and normal laws, with density e−x2/2/2π for the standard case.

Let U:RN→[0,∞) be a real homogeneous quartic polynomial, meaning U is a polynomial and U(sq)=s4U(q) for all s∈R and q∈RN. For a coupling λ≥0, define the partition integral and its weighted measure by

ZC,U(λ):=∫RNe−λU(q) dγC(q),νC,U,λ(A):=∫Ae−λU(q) dγC(q)

for Borel A⊆RN. Whenever 0<ZC,U(λ)<∞, the finite Euclidean interacting measure is the Borel probability measure

dμC,U,λ(q):=ZC,U(λ)−1e−λU(q) dγC(q).

For a polynomial P:RN→R with finite integral, write ⟨P⟩C,U,λ:=∫P dμC,U,λ. The exact supplier Actual finite Euclidean polynomial measure and moments ↗ proves that ZC,U(λ) is positive and finite and that every polynomial insertion is integrable. This is a Borel measure on finite-dimensional RN; it is not a measure on distributions on continuum Euclidean spacetime and does not by itself assert reflection positivity or reconstruction of a continuum field.

Facts & Assumptions

Given: Assume the Axiom of Choice and take N,C,U,λ as in the Definition.

[A1]

The Axiom of Choice is the stated hypothesis of the finite-dimensional normal-law construction. The Axiom of Choice

[F1]

For finite N and positive-semidefinite C, γC=NN(0,C) is a Borel probability law on RN. Multivariate normal law, including singular covariance

[F2]

A nonnegative measurable density f relative to a measure μ defines the measure f dμ by (f dμ)(A)=∫Af dμ. The measure with density f relative to μ

[F3]

For nonnegative measurable f, the set function A↦∫Af dμ is a measure. The indefinite integral of a nonnegative measurable function is a measure

[F4]

The real exponential is the all-real power series and is continuous and strictly increasing; for x≥0 its nonnegative terms give exp⁡(x)≥1, and it is positive with exp⁡(−x)=1/exp⁡(x). Hence 0<exp⁡(−x)≤1 for x≥0. The real exponential function and the number e by a power series, The exponential is positive and satisfies exp⁡(−x)=1/exp⁡(x), The exponential function is strictly increasing

Proof

technique · direct verification of the density construction
1.1A1F1F2F3F4givenalgebra

A polynomial U is continuous and hence Borel measurable. Since U≥0 and λ≥0, [F4] gives f(q):=exp⁡(−λU(q)) Borel with 0<f(q)≤1. Thus Z=∫f dγC is finite, and [F2] defines ν=f dγC; [F3] gives its measure property. Its total mass is ν(RN)=Z by definition.

2.1F3givenstep 1.1algebra∎

Under the displayed side condition 0<Z<∞, the scaled measure μ=Z−1ν is a Borel measure and has total mass Z−1ν(RN)=1, so it is a probability measure by [F3] and step 1.1. For a polynomial P integrable under μ, ⟨P⟩C,U,λ is then its well-defined integral by the notation in the Definition.

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