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Finite Euclidean quartic interacting measure
Definition
Assume the Axiom of Choice. Let be finite and let be a real symmetric positive-semidefinite matrix; positive-semidefinite means for every . The centered multivariate normal Borel probability law with covariance is as defined by Multivariate normal law, including singular covariance: every linear projection has scalar normal law , and the law exists even when is singular. Here is the law specified in Standard normal and normal laws, with density for the standard case.
Let be a real homogeneous quartic polynomial, meaning is a polynomial and for all and . For a coupling , define the partition integral and its weighted measure by
for Borel . Whenever , the finite Euclidean interacting measure is the Borel probability measure
For a polynomial with finite integral, write . The exact supplier Actual finite Euclidean polynomial measure and moments ↗ proves that is positive and finite and that every polynomial insertion is integrable. This is a Borel measure on finite-dimensional ; 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 as in the Definition.
The Axiom of Choice is the stated hypothesis of the finite-dimensional normal-law construction. The Axiom of Choice
For finite and positive-semidefinite , is a Borel probability law on . Multivariate normal law, including singular covariance
A nonnegative measurable density relative to a measure defines the measure by . The measure with density relative to
For nonnegative measurable , the set function is a measure. The indefinite integral of a nonnegative measurable function is a measure
The real exponential is the all-real power series and is continuous and strictly increasing; for its nonnegative terms give , and it is positive with . Hence for . The real exponential function and the number by a power series, The exponential is positive and satisfies , The exponential function is strictly increasing
Proof
A polynomial is continuous and hence Borel measurable. Since and , [F4] gives Borel with . Thus is finite, and [F2] defines ; [F3] gives its measure property. Its total mass is by definition.
Under the displayed side condition , the scaled measure is a Borel measure and has total mass , so it is a probability measure by [F3] and step 1.1. For a polynomial integrable under , is then its well-defined integral by the notation in the Definition.
Depends on
Multivariate normal law, including singular covariance
Standard normal and normal laws
The real exponential function and the number by a power series
The exponential is positive and satisfies
The exponential function is strictly increasing
The Axiom of Choice
The measure with density relative to
The indefinite integral of a nonnegative measurable function is a measure