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Moving Gumbel cutoff in an inverse-power tail (∫a∞​x−re−λe−xdx∼r−1L1−r​−γL−r(L=logλ))

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Extreme value theory Gumbel distribution
2026-10-14  0 By others on same topic  0 Discussions Create my own version
For fixed a>0 and r>1, the factor exp(−λe−x) is a translated Gumbel distribution cumulative function, with transition near x=L. Integration by parts transforms the integral to an exponentially small boundary term plus (r−1)−1∫0λe−a​e−u(L−logu)1−rdu. Expanding the latter against its finite logarithmic moments gives the displayed two terms because ∫0∞​e−ulogudu=−γ, with γ Euler's constant. The smooth cutoff shifts the first correction even though replacing it by a step gives the leading tail.

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  1. Gumbel distribution
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  • Past exam of the mathematics course of the University of Cambridge / 2002 / iii / Paper 48 / 1 / a / Solution

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