Optimal L$^1$-bounds for submartingales

dc.creatorMattner, Lutz
dc.creatorRösler, Uwe
dc.date2008-09-20
dc.date2009-04-16
dc.date.accessioned2026-07-07T13:04:04Z
dc.date.available2026-07-07T13:04:04Z
dc.descriptionThe optimal function $f$ satisfying $$ \mathbb{E} |\sum_{1}^n X_i | \ge f(\mathrbb{E}|X_1|,...,\mathbb{E}|X_n|) $$ for every martingale $(X_1,X_1+X_2, ...,\sum_{i=1}^n X_i)$ is shown to be given by $$ f(a) = \max \Big\{a_k-\sum_{i=1}^{k-1} a_i\Big\}_{k=1}^n \cup \Big\{\frac {a_k}2\Big\}_{k=3}^n $$ for $a\in{[0,\infty[}^n_{}$. A similar result is obtained for submartingales $(0,X_1,X_1+X_2,..., \sum_{i=1}^n X_i)$. The optimality proofs use a convex-analytic comparison lemma of independent interest.
dc.description14 pages. Minor corrections and notational changes. Address of first-named author updated
dc.identifierhttps://arxiv.org/abs/0809.3522
dc.identifierhttp://arxiv.org/abs/0809.3522
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227030
dc.subjectProbability
dc.subjectClassical Analysis and ODEs
dc.subject60G42; 60E15; 26B25
dc.titleOptimal L$^1$-bounds for submartingales
dc.typetext

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