Coefficientwise exponential generating functions of genuine Gaussian moments. No analytic exponential integrability or infinite-sum/integral interchange is asserted.
The formal exponential generating function of the Gaussian moments of a polynomial.
Equations
- GaussianMomentsCounterexamples.momentEGF P = PowerSeries.mk fun (m : ℕ) => GaussianMomentsCounterexamples.expectation (P ^ m) / ↑m.factorial
Instances For
noncomputable def
GaussianMomentsCounterexamples.mixedMomentEGF
{n : ℕ}
(Q P : MvPolynomial (Fin n) ℂ)
:
The formal generating function for mixed Gaussian moments.
Equations
- GaussianMomentsCounterexamples.mixedMomentEGF Q P = PowerSeries.mk fun (m : ℕ) => GaussianMomentsCounterexamples.expectation (Q * P ^ m) / ↑m.factorial
Instances For
theorem
GaussianMomentsCounterexamples.momentEGF_eq_one
{n : ℕ}
(P : MvPolynomial (Fin n) ℂ)
(h : ∀ (m : ℕ), 1 ≤ m → expectation (P ^ m) = 0)
:
theorem
GaussianMomentsCounterexamples.mixedMomentEGF_eq_branch
{n : ℕ}
(Q P : MvPolynomial (Fin n) ℂ)
(h0 : expectation Q = 0)
(h : ∀ (m : ℕ), 1 ≤ m → expectation (Q * P ^ m) = ↑m.factorial)
:
The displayed formal identity E(exp(t P₃)) = 1.
The displayed formal identity E(exp(t P₄)) = 1.
The displayed formal identity E(Q₃ exp(t P₃)) = t/(1-t).
The displayed formal identity E(Q₄ exp(t P₄)) = t/(1-t).
The explicit discovery vector field produces exactly the four-variable polynomial.