The discriminant Δ_fun = 1728⁻¹(E₄³ - E₆²) equals the standard discriminant Δ.
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Generic summability for n^a * σ_b(n) * exp(2πinz) series. Uses σ_b(n) ≤ n^(b+1) (sigma_bound) and a33 (a+b+1) for exponential summability.
E₂ q-expansion in sigma form: E₂ = 1 - 24 * ∑ σ₁(n) * q^n. This follows from G2_q_exp and the definition E₂ = (1/(2*ζ(2))) • G₂. The proof expands the definitions and simplifies using ζ(2) = π²/6.
Summability of σ₁ q-series (for D_qexp_tsum_pnat hypothesis).
Generic derivative bound for σ_k q-series on compact sets. Uses σ_k(n) ≤ n^(k+1) (sigma_bound) and iter_deriv_comp_bound3 for exponential decay.
Derivative bound for σ₁ q-series on compact sets (for D_qexp_tsum_pnat hypothesis). The bound uses σ₁(n) ≤ n² (sigma_bound) and iter_deriv_comp_bound3 for exponential decay.
Summability of σ₃ q-series (for E₄ derivative).
Derivative bound for σ₃ q-series on compact sets (for D_qexp_tsum_pnat hypothesis). The bound uses σ₃(n) ≤ n⁴ (sigma_bound) and iter_deriv_comp_bound3 for exponential decay.
E₄ as explicit tsum (from E4_q_exp PowerSeries coefficients). Uses hasSum_qExpansion to convert from PowerSeries to tsum form.
The q-expansion identity E₂E₄ - E₆ = 720·Σn·σ₃(n)·qⁿ. This follows from Ramanujan's formula: E₂E₄ - E₆ = 3·D(E₄), combined with D(E₄) = 240·Σn·σ₃(n)·qⁿ (since D multiplies q-coefficients by n).
D E₄ is real on the imaginary axis.
The real part of (D E₄)(it) is positive for t > 0.
Q-expansion identity: negDE₂ = 24 * ∑ n * σ₁(n) * q^n From Ramanujan's formula: D E₂ = (E₂² - E₄)/12, so -D E₂ = (E₄ - E₂²)/12. And the derivative of E₂ = 1 - 24∑ σ₁(n) q^n gives -D E₂ = 24 ∑ n σ₁(n) q^n. See blueprint equation at line 136 of modform-ineq.tex. Proof outline:
- E₂_sigma_qexp: E₂ = 1 - 24 * ∑ σ₁(n) * q^n
- D_qexp_tsum_pnat: D(∑ a(n) * q^n) = ∑ n * a(n) * q^n
- negDE₂ = -D E₂ = -D(1 - 24∑...) = 24 * ∑ n * σ₁(n) * q^n
The real part of negDE₂(it) is positive for t > 0.
Imaginary Axis Properties #
Properties of G and F when restricted to the positive imaginary axis z = I*t.
G(it) > 0 for all t > 0.
Blueprint: Lemma 8.6 - follows from H₂(it) > 0 and H₄(it) > 0.
G = H₂³ (2H₂² + 5H₂H₄ + 5H₄²) is positive since all factors are positive.
G(it) is real for all t > 0.
Blueprint: G = H₂³ (2H₂² + 5H₂H₄ + 5H₄²), product of real functions.
F(it) > 0 for all t > 0.
Blueprint: F = 9*(D E₄)² and D E₄ > 0 on imaginary axis.
F(it) is real for all t > 0.
Blueprint: Follows from E₂, E₄, E₆ having real values on the imaginary axis.
Serre Derivative Positivity of L₁,₀ #
We compute ∂₂₂ L₁,₀ explicitly via the modular linear differential equations for F and G,
and show it is positive on the imaginary axis.
Asymptotic Analysis of F at Infinity #
Vanishing orders and log-derivative limits for the F-side analysis.
These are used to establish L₁₀_eventually_pos_imag_axis (large-t positivity of L₁,₀).
(E₂E₄ - E₆) / q → 720 as im(z) → ∞.
The vanishing order of F at infinity is 2. Blueprint: F = 720² * q² * (1 + O(q)), so F / q² → 720² as im(z) → ∞.
D(E₂E₄ - E₆) = 720 * ∑ n²·σ₃(n)·qⁿ.
Key for the log-derivative limit: (D F)/F → 2 as z → i∞.
(D F)/F → 2 as im(z) → ∞.
The log-derivative limit, following from F having vanishing order 2.
G-Side Asymptotic Analysis #
Vanishing order and log-derivative limits for G, leading to eventual positivity of L₁,₀.
G / q^(3/2) → 20480 as im(z) → ∞. Here q^(3/2) = exp(2πi · (3/2) · z).
D(exp(cz))/exp(cz) = c/(2πi) for any coefficient c.
(D G)/G → 3/2 as im(z) → ∞.
lim_{t→∞} L₁,₀(it)/(F(it)G(it)) = 1/2.
Monotonicity of F/G on the Imaginary Axis #
Proposition 8.12 from the blueprint: the function FmodGReal(t) = F(it)/G(it) is strictly
decreasing on (0, ∞).
FmodGReal is differentiable on (0, ∞).
Proposition 8.12: FmodGReal is strictly decreasing on (0, ∞).
$\lim_{t \to 0^+} F(it) / G(it) = 18 / \pi^2$.