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Copula.Archimedean.ConcordanceFamilies

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Quadrant dependence of families of Nelsen's Table 4.1 via generators #

Applications of the generator criteria of Copula.Archimedean.Concordance (Nelsen, An Introduction to Copulas, second edition, Theorem 4.4.2 with Π as one of the copulas): a strict Archimedean copula is PQD iff ψ(x) ψ(y) ≤ ψ(x + y), and an Archimedean copula is NQD iff φ(uv) ≤ φ(u) + φ(v) on (0, 1].

theorem ProbabilityTheory.Copula.one_add_add_rpow_add_one_le {p : ℝ} (hp0 : 0 ≤ p) (hp1 : p ≤ 1) {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) :
(1 + (a + b)) ^ p + 1 ≤ (1 + a) ^ p + (1 + b) ^ p

(1 + a + b)^p + 1 ≤ (1 + a)^p + (1 + b)^p for 0 ≤ p ≤ 1 and a, b ≥ 0.

theorem ProbabilityTheory.Copula.one_add_rpow_add_one_le_of_one_le {p : ℝ} (hp : 1 ≤ p) {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) :
(1 + a) ^ p + (1 + b) ^ p ≤ (1 + (a + b)) ^ p + 1

(1 + a)^p + (1 + b)^p ≤ (1 + a + b)^p + 1 for p ≥ 1 and a, b ≥ 0.

theorem ProbabilityTheory.Copula.isNQD_nelsen9 (θ : ℝ) (hθ : 0 < θ) (h1 : θ ≤ 1) :
(nelsen9 θ hθ h1).IsNQD

Nelsen's family 9 is negatively quadrant dependent.

theorem ProbabilityTheory.Copula.isNQD_nelsen10 (θ : ℝ) (hθ : 0 < θ) (h1 : θ ≤ 1) :
(nelsen10 θ hθ h1).IsNQD

Nelsen's family 10 is negatively quadrant dependent.

theorem ProbabilityTheory.Copula.isPQD_nelsen13 (θ : ℝ) (hθ : 1 ≤ θ) :
(nelsen13 θ ⋯).IsPQD

Nelsen's family 13 is positively quadrant dependent for θ ≥ 1.

theorem ProbabilityTheory.Copula.isNQD_nelsen13 (θ : ℝ) (hθ : 0 < θ) (h1 : θ ≤ 1) :
(nelsen13 θ hθ).IsNQD

Nelsen's family 13 is negatively quadrant dependent for 0 < θ ≤ 1.

theorem ProbabilityTheory.Copula.isPQD_nelsen19 (θ : ℝ) (hθ : 0 < θ) :
(nelsen19 θ hθ).IsPQD

Nelsen's family 19 is positively quadrant dependent.

theorem ProbabilityTheory.Copula.isPQD_nelsen20 (θ : ℝ) (hθ : 0 < θ) :
(nelsen20 θ hθ).IsPQD

Nelsen's family 20 is positively quadrant dependent.