Half Binomial Weighted Coeff norm le
ProvedD1Bound5.halfBinomialWeightedCoeff_norm_lediophantine-tuplesnumber-theory
The sharp real absolute convolution implies a uniform complex coefficient bound, without assuming x=y or positivity of either complex variable.
Preamble
import Mathlib.Algebra.BigOperators.NatAntidiagonal import Mathlib.Analysis.Complex.Basic import Mathlib.Analysis.Normed.Ring.Basic import Mathlib.Analysis.SpecificLimits.Normed import Mathlib.Data.Sym.Basic import Mathlib.Data.Sym.Card import Mathlib.RingTheory.Binomial import Mathlib.RingTheory.MvPolynomial.Symmetric.Defs import Definitions.Def_D1Bound5_ComplexHalfBinomial_Definitions import Definitions.Def_D1Bound5_HalfBinomialCoefficients_Definitions
Formal statement
section
open Finset
namespace D1Bound5
theorem _root_.D1Bound5.halfBinomialWeightedCoeff_norm_le
(x y : ℂ) (t : ℝ) (ht : 0 ≤ t)
(hx : ‖x‖ ≤ t) (hy : ‖y‖ ≤ t)
(n : ℕ) (hn : 2 ≤ n) :
‖halfBinomialWeightedCoeff x y n‖ ≤
4 * |halfBinomialCoeff n| * t ^ n := by sorry
end D1Bound5
end
Source
D1Bound5/ComplexHalfBinomial.lean, lines 16-55, SHA-256 e7e6f8b11a6f554af427f9bfa36df35a8240f67bed0729f2ba7396a3dc39d624. Project: https://github.com/tomislav-math/d1-bound5-lean