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LeanPool.CarlsonFunctions.Carlson.TwoVariable.Quadratic.Polynomial

Polynomial quadratic transformations #

The squared-node regression theorem is retained alongside the correct involutive identity.

The even moments on opposite nodes, in division-free form.

Division-free polynomial form of the even-degree first quadratic transformation 6.9-8. It is valid at exceptional parameters because no Pochhammer symbol is divided out.

Division-free polynomial form of the odd-degree first quadratic transformation 6.9-9.

Regression check: the version of the second quadratic identity with unsquared right-hand nodes is false, already for n = β = 1, x = 2, y = 0.

theorem DirichletTransform.TwoVariable.carlsonRPolynomialNumerator₂_secondQuadratic (n : ℕ) (β x y : ℂ) :
Polynomial.eval (1 - 2 * β - 2 * ↑n) (ascPochhammer ℂ n) * carlsonRPolynomialNumerator₂ n β β (x ^ 2) (y ^ 2) = Polynomial.eval β (ascPochhammer ℂ n) * carlsonRPolynomialNumerator₂ n (1 / 2 - β - ↑n) (1 / 2 - β - ↑n) ((x + y) ^ 2) ((x - y) ^ 2)

Division-free polynomial form of Carlson's involutive transformation 6.10-3. Both transformed nodes must be squared: both sides are homogeneous of degree 2 * n in x,y. Omitting the squares gives the false identity refuted above.