Computes the couplings from the basis clause and the ratio = mu of the free-field data, converts cube-summability of the inverse Fourier weights into convergence or divergence of the series along the enumeration, and checks the Riccati bound by the factorisation (t-1)(1-2 theta >= 0 when < 0.
Each result cited is universally quantified over the data in its own statement.
Fix and abbreviate and . By Summability of the Negative Powers of the Fourier Weights of the Torus §product (used with its taken to be ), ; hence is positive and . The enumeration of The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation §data is a bijection , by the meaning of an enumeration in Properties of the Fourier Coefficients on the Torus, and the Realisation of Weighted Coefficient Families. By White Noise in the Square-Integrable Space and the Free Field on the Torus as Noise Weights and a Variance Sequence on a Negative Sobolev Space §ratio, , and by Variance Sequences and Their Truncations §variances, being a variance sequence by White Noise in the Square-Integrable Space and the Free Field on the Torus as Noise Weights and a Variance Sequence on a Negative Sobolev Space §variances; hence
Since , the product rule for natural powers (Properties of Natural Number Powers in a Field §products) and its unit rule (Properties of Natural Number Powers in a Field §unit) give
Clause 1. Let . The coordinate is (A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §background with The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation §gaussian), which equals by White Noise in the Square-Integrable Space and the Free Field on the Torus as Noise Weights and a Variance Sequence on a Negative Sobolev Space §basis. Hence, using (2),
By (1) and (2), . Since and ,
Clause 2. Suppose . By clause 1 and (1),
being the inverse of . Since , Lattice Sums of the Fourier Weights of the Torus, and the Negative Sobolev Norms as Lattice Sums §convergent with shows that the family on is cube-summable. Its values are positive, so by Lattice Sums along Cubes: Linearity, Nonnegative Families, Absolute Summability, Comparison and Finitely Supported Families §enumeration, applied with the bijection , the series converges; by Elementary Properties of Series of Real Numbers §linearity so does , which is, term by term, the series . Together with for every (clause 1), this is the condition of The Wick-Square Corrector and the Score-Paired Wick-Square Cost Relative to a Diagonal Gaussian Measure on a Hilbert Space §couplings, so is a sequence of Wick couplings with bound . That definition applies to the pair of the statement: and the constant are positive, and for every by White Noise in the Square-Integrable Space and the Free Field on the Torus as Noise Weights and a Variance Sequence on a Negative Sobolev Space §ratio.
Clause 3. Let be positive with . By (1) and clause 1, with ,
Suppose first . Then by Minimum of Two Elements of a Totally Ordered Set: it is if , in which case , and otherwise, so ; since and , the displayed quantity is at least . Suppose next . Then by Minimum of Two Elements of a Totally Ordered Set, so , and
Here , and because and , so the second factor exceeds ; the product is nonnegative. In both cases , and was arbitrary.
Clause 4. Suppose and . By clause 1, for every , so the two series of the claim agree term by term. The family on has positive values, and by Lattice Sums of the Fourier Weights of the Torus, and the Negative Sobolev Norms as Lattice Sums §divergent the set of its cube sums is not bounded above, so it is not cube-summable by Lattice Sums along Cubes: Linearity, Nonnegative Families, Absolute Summability, Comparison and Finitely Supported Families §nonnegative. By Lattice Sums along Cubes: Linearity, Nonnegative Families, Absolute Summability, Comparison and Finitely Supported Families §enumeration, applied with the bijection , the series does not converge. If converged, then multiplying by , which exists as , Elementary Properties of Series of Real Numbers §linearity would make converge, a contradiction. Hence does not converge.
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