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Papers.OrendayLaresRockel2026XiBeta.SIRegion

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Theorem 1.2: the exact ξ–β region of stochastically increasing copulas #

R^{SI}_{ξ,β} = R^{SI,RS}_{ξ,β} = {(x,y) ∈ [0,1]² : y³ ≤ 2x, 3(1-y)² ≤ 4(1-x)}, and R^{SD} = R^{SD,RS} is its mirror image. Every SI copula satisfies ξ(C) ≤ 1 - (3/4)(1-β(C))², with equality iff C = R_{β(C)}.

The region of Theorem 1.2: {(x,y) ∈ [0,1]² : y³ ≤ 2x, 3(1-y)² ≤ 4(1-x)}.

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    L_b ∈ C_SI ∩ C_RS and R_b ∈ C_SI ∩ C_RS, so both attain the two boundary curves.

    Theorem 1.2: R^{SI}_{ξ,β} = R^{SI,RS}_{ξ,β} = {(x,y) ∈ [0,1]² : y³ ≤ 2x, 3(1-y)² ≤ 4(1-x)}.

    Theorem 1.2: R^{SD} = R^{SD,RS} is the mirror image {(x, -y) : (x,y) ∈ R^{SI}}.

    Theorem 1.2, inequality (1.5): every SI copula satisfies ξ(C) ≤ 1 - (3/4)(1 - β(C))², with equality if and only if C = R_{β(C)}.

    Inequality (1.5) in the equivalent form 3(1 - β)² ≤ 4(1 - ξ).

    Inequality (1.5) as a lower bound on β: β(C) ≥ 1 - 2√((1 - ξ(C))/3).