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On the approximation of convex functions with cumulant generating functions - MaRDI portal

On the approximation of convex functions with cumulant generating functions (Q857103)

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scientific article; zbMATH DE number 5080206
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On the approximation of convex functions with cumulant generating functions
scientific article; zbMATH DE number 5080206

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    On the approximation of convex functions with cumulant generating functions (English)
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    14 December 2006
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    Let \(\mu\) be a measure on \(\mathbb{R}\) and \(M\) be its two-sided Laplace transform. The function \(s\mapsto\ln M(-s)\), \(s\in\mathbb{R}\), is said to be a cumulant generating function (CGF). Theorem. Let \(f: I\to \mathbb{R}\) be continuous convex where \(I\subset\mathbb{R}\) be a bounded interval or \(\mathbb{R}\). There is a measure \(\mu\geq 0\) whose CGF function \(\varphi\) satisfies \(\| f-\varphi\|_{C_0(I)}\leq \ln 2\). The sharp constant of this inequality is \(\geq{\ln 2\over 2}\).
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    convex function
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    cumulant of nonnegative measure
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    approximation
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