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We prove results on the existence of Dol\'{e}ans-Dade measures and of the Doob-Meyer decomposition for supermartingales indexed by a general index set

Probability · Mathematics 2009-01-21 Gianluca Casseses

In the paper, we introduce the notion of a local regular supermartingale relative to a convex set of equivalent measures and prove for it an optional Doob decomposition in the discrete case. This Theorem is a generalization of the famous…

Probability · Mathematics 2016-01-15 Nicholas Gonchar

The objective of this paper is to establish the decomposition theorem for supermartingales under the $G$-framework. We first introduce a $g$-nonlinear expectation via a kind of $G$-BSDE and the associated supermartingales. We have shown…

Probability · Mathematics 2020-11-10 Hanwu Li , Shige Peng , Yongsheng Song

Every submartingale S of class D has a unique Doob-Meyer decomposition S=M+A, where M is a martingale and A is a predictable increasing process starting at 0. We provide a short and elementary prove of the Doob-Meyer decomposition theorem.…

Probability · Mathematics 2010-12-24 Mathias Beiglboeck , Walter Schachermayer , Bezirgen Veliyev

We show that for a quantum $L^p$-martingale $(X(t))$, $p>2$, there exists a Doob-Meyer decomposition of the submartingale $(|X(t)|^2)$. A noncommutative counterpart of a classical process continuous with probability one is introduced, and a…

Operator Algebras · Mathematics 2007-05-23 Andrzej Luczak

In the paper, we introduce the notion of a local regular supermartingale relative to a convex set of equivalent measures and prove for it the necessary and sufficient conditions of optional Doob decomposition in the discrete case. This…

Mathematical Finance · Quantitative Finance 2016-12-04 N. S. Gonchar

We first introduce the concept of $\mathscr{Y}^{g,\xi}$-submartingale systems, where the nonlinear operator $\mathscr{Y}^{g,\xi}$ corresponds to the first component of the solution of a reflected BSDE with generator $g$ and lower obstacle…

Optimization and Control · Mathematics 2023-05-26 Roxana Dumitrescu , Romuald Elie , Wissal Sabbagh , Chao Zhou

In the theory of progressive enlargements of filtrations, the supermartingale $Z_{t}=\mathbf{P}(g>t\mid \mathcal{F}_{t}) $ associated with an honest time g, and its additive (Doob-Meyer) decomposition, play an essential role. In this paper,…

Probability · Mathematics 2007-08-03 A. Nikeghbali , M. Yor

The paper considers the martingale theory in the $G$-framework. A form of Doob's optional sampling is established, which allows to prove the exact analogue of the classical maximal inequality. The obtained results are used to improve the…

Probability · Mathematics 2012-11-28 Krzysztof Paczka

The concept of finitely additive supermartingales, originally due to Bochner, is revived and developed. We exploit it to study measure decompositions over filtered probability spaces and the properties of the associated Dol\'{e}ans-Dade…

Probability · Mathematics 2008-04-21 Gianluca Cassese

Supermartingales are here defined on a non-probabilistic setting and can be interpreted solely in terms of superhedging operations. The classical expectation operator is replaced by a pair of subadditive operators one of them providing a…

Probability · Mathematics 2023-12-26 C. Bender , S. E. Ferrando , K. Gajewski , A. L. Gonzalez

In this paper, we study a type of reflected BSDE with a constraint and introduce a new kind of nonlinear expectation via BSDE with a constraint and prove the Doob-Meyer decomposition with respect to the super(sub)martingale introduced by…

Probability · Mathematics 2008-12-10 Shige Peng , Mingyu Xu

Neural operators excel as deterministic surrogates, but inevitably collapse to the conditional mean when applied to stochastic PDEs, discarding the variance and tail structure upon which uncertainty quantification depends. Recovering this…

Machine Learning · Computer Science 2026-05-18 Kai Hidajat

When analyzing probabilistic computations, a powerful approach is to first find a martingale---an expression on the program variables whose expectation remains invariant---and then apply the optional stopping theorem in order to infer…

Programming Languages · Computer Science 2018-03-16 Gilles Barthe , Thomas Espitau , Luis María Ferrer Fioriti , Justin Hsu

This paper extends classical probabilistic results to the broader class of demimartingales and demisubmartingales. We establish variants of Doob's-type optional sampling theorem under minimal structural conditions on stopping times, relying…

Probability · Mathematics 2025-07-24 Milto Hadjikyriakou , B. L. S Prakasa Rao

In the recent paper \cite{DESZ}, the notion of $\mathscr{Y}^{g,\xi}$-submartingale processes has been introduced. Within a jump-diffusion model, we prove here that a process $X$ which satisfies the simultaneous…

Mathematical Finance · Quantitative Finance 2022-04-11 Roxana Dumitrescu

We present an elementary treatment of the Optional Decomposition Theorem for continuous semimartingales and general filtrations. This treatment does not assume the existence of equivalent local martingale measure(s), only that of strictly…

Probability · Mathematics 2015-02-05 Ioannis Karatzas , Constantinos Kardaras

Two-component second and third-order Burgers type systems with nondiagonal constant matrix of leading order terms are classified for higher symmetries. New symmetry integrable systems with their master symmetries are obtained. Some third…

Exactly Solvable and Integrable Systems · Physics 2016-05-04 D. Talati , R. Turhan

The Doob convergence theorem implies that the set of divergence of any martingale has measure zero. We prove that, conversely, any $G\_{\delta\sigma}$ subset of the Cantor space with Lebesgue-measure zero can be represented as the set of…

Logic · Mathematics 2015-12-21 Dominique Lecomte , Miroslav Zeleny

Using the spectral measure $\mu_\mathbb{S}$ of the stopping time $\mathbb{S},$ we define the stopping element $X_\mathbb{S}$ as a Daniell integral $\int X_t\,d\mu_\mathbb{S}$ for an adapted stochastic process $(X_t)_{t\in J}$ that is a…

Functional Analysis · Mathematics 2020-07-13 Jacobus J. Grobler , Christopher M. Schwanke
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