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Stochastic Processes in the Decades after 1950

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The Splendors and Miseries of Martingales

Part of the book series: Trends in the History of Science ((TRENDSHISTORYSCIENCE))

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Abstract

Paul-André Meyer (1934–2003), founder and leader of the Strasbourg school of probability, worked from the 1960s into the 1990s on the theory of stochastic processes, emphasizing processes in continuous time. In this sweeping review, which first appeared in French in 2000, Meyer emphasizes the founding role of Doob’s Stochastic Processes, published in 1953, which presented tools and topics that fueled probabilistic research for the rest of the century: filtrations, stopping times, martingales, Markov processes, diffusions, Itô’s stochastic integral, and stochastic differential equations. The review then concentrates on two periods of research. The period from 1950 to 1965 was dominated by the study of Markov processes and their connections with potential theory and martingales. In the period from 1965 to 1980, martingales became more prominent, along with the stochastic integral, excursions, the general theory of processes, and stochastic mechanics. The review extends into the 1980s, discussing the Malliavin calculus and noncommutative probability theory. The great contributions by Doob and Itô are given their due.

Paul-André Meyer (1934–2003) worked at the University of Strasbourg. This chapter was first published in French in 2000 [172]. Glenn Shafer, Rutgers University. Translation by Jeanine Sedjro.

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Notes

  1. 1.

    Which allows the distribution of the maximum of a Brownian motion to be calculated.

  2. 2.

    Weak convergence is associated with the integration of bounded continuous functions [14].

  3. 3.

    Brownian motion happens to be simultaneously a martingale and a Markov process, but these two notions are not related.

  4. 4.

    Of which the core is the elementary solution of the heat equation, that is, the Brownian transition function itself.

  5. 5.

    Technical definition weakening the integrability condition for martingales.

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Meyer, PA., Shafer, G. (2022). Stochastic Processes in the Decades after 1950. In: Mazliak, L., Shafer, G. (eds) The Splendors and Miseries of Martingales. Trends in the History of Science. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-05988-9_8

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