The potential is Borel, is the almost-everywhere and limit of the Galerkin potentials with rate , has them as conditional expectations, and lies in the Cameron-Martin Sobolev space with derivatives in every ; each Galerkin potential is bounded below by a constant of order , uniformly in dimension one.
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 , the orthonormal basis , the noise weights and the variance sequence of The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation §gaussian, with the Lebesgue spaces and norms of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §lebesgue, suppose , and let with . Let be the Wick-ordered potential with coupling and mass , and let , , , , conditional expectations, and the constant 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; is the Wick constant at cutoff . and the partial derivatives 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 is the absolute value of .
1. (Measurability) is Borel.
2. (Limit) For -almost every the sequence converges to . The class of lies in , and for every real it lies in , with
3. (Conditional expectations) For every , is a conditional expectation of given .
4. (Cameron-Martin derivatives) For every the class of lies in , with partial derivatives the classes of the functions . The class of lies in , and for every and every real , and as .
5. (Lower bound at each cutoff) For every and ,
6. (Uniform lower bound in dimension one) If , the lattice sum 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, for every , and for every , where is the number with in place of .
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