Doob–Meyer decomposition theorem
- Doob–Meyer decomposition theorem
-
The Doob–Meyer decomposition theorem is a theorem in stochastic calculus stating the conditions under which a submartingale may be decomposed in a unique way as the sum of a martingale and a continuous increasing process. It is named for J. L. Doob and Paul-André Meyer.
History
In 1953, Doob published the Doob decomposition theorem which gives a unique decomposition for certain discrete time martingales.[1] He conjectured a continuous time version of the theorem and in two publications in 1962 and 1963 Paul-André Meyer proved such a theorem, which became known as the Doob-Meyer decomposition.[2][3] In honor of Doob, Meyer used the term "class D" to refer to the class of supermartingales for which his unique decomposition theorem applied.[4]
Class D Supermartingales
A càdlàg supermartingale Z is of Class D if Z0 = 0 and the collection
is uniformly integrable.[5]
The theorem
Let Z be a cadlag supermartingale of class D with Z0 = 0. Then there exists a unique, increasing, predictable process A with A0 = 0 such that Mt = Zt + At is a uniformly integrable martingale.[6]
See also
Doob decomposition theorem
Notes
- ^ Doob 1953
- ^ Meyer 1952
- ^ Meyer 1963
- ^ Protter 2005
- ^ Protter (2005)
- ^ Protter (2005)
References
- Doob, J.L. (1953). Stochastic Processes. Wiley.
- Meyer, Paul (1962). "A Decomposition theorem for supermartingales". Illinois Journal of Mathematics 6: 193–205.
- Meyer, Paul (1963). "Decomposition of supermartingales: the uniqueness theorem". Illinois Journal of Mathematics 7: 1–17.
- Protter, Philip (2005). Stochastic Integration and Differential Equations. Springer-Verlag. pp. 107–113. ISBN 3-540-00313-4.
External links
Categories:
- Martingale theory
- Statistical theorems
- Probability theorems
Wikimedia Foundation.
2010.
Look at other dictionaries:
Doob-Meyer decomposition theorem — The Doob Meyer decomposition theorem is a theorem in stochastic calculus stating the conditions under which a submartingale may be decomposed in a unique way as the sum of a martingale and a continuous increasing process. It is named for J. L.… … Wikipedia
Doob decomposition theorem — In the theory of discrete time stochastic processes, a part of the mathematical theory of probability, the Doob decomposition theorem gives a unique decomposition of any submartingale as the sum of a martingale and an increasing predictable… … Wikipedia
Doob — may refer to several things: Joseph Leo Doob, an American mathematician Doob martingale Doob s martingale inequality Doob–Meyer decomposition theorem The Doobie Brothers band A slang for cannabis See also Boob (disambiguation) … Wikipedia
Decomposition (disambiguation) — Decomposition may refer to the following: Decomposition, biological process through which organic material is reduced Chemical decomposition or analysis, in chemistry, is the fragmentation of a chemical compound into elements or smaller compounds … Wikipedia
Joseph Leo Doob — Infobox Scientist name = Joseph Doob image width = 300px caption = Joseph Leo Doob birth date = birth date|1910|2|27|mf=y birth place = Cincinnati, Ohio, U.S. residence = nationality = death date = death date and age|2004|6|7|1910|2|27|mf=y death … Wikipedia
Itō calculus — Itō calculus, named after Kiyoshi Itō, extends the methods of calculus to stochastic processes such as Brownian motion (Wiener process). It has important applications in mathematical finance and stochastic differential equations.The central… … Wikipedia
List of mathematics articles (D) — NOTOC D D distribution D module D D Agostino s K squared test D Alembert Euler condition D Alembert operator D Alembert s formula D Alembert s paradox D Alembert s principle Dagger category Dagger compact category Dagger symmetric monoidal… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Quadratic variation — In mathematics, quadratic variation is used in the analysis of stochastic processes such as Brownian motion and martingales. Quadratic variation is just one kind of variation of a process. Definition Suppose that X t is a real valued stochastic… … Wikipedia