Wiener process
E, Weinan, Li, Tiejun, Vanden-Eijnden, Eric · Graduate studies in mathematics · 2019
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About 4,879 papers for “Wiener process”
E, Weinan, Li, Tiejun, Vanden-Eijnden, Eric · Graduate studies in mathematics · 2019
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A.G. Malliaris · The New Palgrave Dictionary of Economics · 2008
Brownian motion is the most renowned, and historically the first stochastic process that was thoroughly investigated. It is named after the English botanist, Robert Brown, who in 1827 observed that small particles immersed in a liquid exhibited ceaseless irregular motion. Brown himself mentions several precursors starting at the beginning with Leeuwenhoek (1632–1723). In 1905 Einstein, unaware of the existence of earlier investigations about Brownian motion, obtained a mathematical derivation of this process from the laws of physics. The theory of Brownian motion was further developed by several distinguished mathematical physicists until Norbert Wiener gave it a rigorous mathematical formulation in his 1918 dissertation and in later papers. This is why the Brownian motion is also called the Wiener process. For a brief history of the scientific developments of the process see Nelson (Dynamical theories of Brownian motion. Princeton: Princeton University Press, ).
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2008
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A. G. Malliaris · The New Palgrave Dictionary of Economics · 2018
Brownian motion is the most renowned, and historically the first stochastic process that was thoroughly investigated. It is named after the English botanist, Robert Brown, who in 1827 observed that small particles immersed in a liquid exhibited ceaseless irregular motion. Brown himself mentions several precursors starting at the beginning with Leeuwenhoek (1632–1723). In 1905 Einstein, unaware of the existence of earlier investigations about Brownian motion, obtained a mathematical derivation of this process from the laws of physics. The theory of Brownian motion was further developed by several distinguished mathematical physicists until Norbert Wiener gave it a rigorous mathematical formulation in his 1918 dissertation and in later papers. This is why the Brownian motion is also called the Wiener process. For a brief history of the scientific developments of the process see Nelson (Dynamical theories of Brownian motion. Princeton: Princeton University Press, 1967).
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A. G. Malliaris · The New Palgrave Dictionary of Economics · 2008
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A.G. Malliaris · The New Palgrave Dictionary of Economics · 2011
Brownian motion is the most renowned, and historically the first stochastic process that was thoroughly investigated. It is named after the English botanist, Robert Brown who in 1827 observed that small particles immersed in a liquid exhibited ceaseless irregular motion. Brown himself mentions several precursors starting at the beginning with Leeuwenhoek (1632–1723). In 1905 Einstein, unaware of the existence of earlier investigations about Brownian motion, obtained a mathematical derivation of this process from the laws of physics. The theory of Brownian motion was further developed by several distinguished mathematical physicists until Norbert Wiener gave it a rigorous mathematical formulation in his 1918 dissertation and in later papers. This is why the Brownian motion is also called the Wiener process. For a brief history of the scientific developments of the process see Nelson (1967).
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2014
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Dalibor Slovák · Digital Repository (National Repository of Grey Literature) · 2007
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Dalibor Slovák · Digital Repository (National Repository of Grey Literature) · 2007
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A. G. Malliaris · The New Palgrave Dictionary of Economics · 2008
Brownian motion is the most renowned, and historically the first stochastic process that was thoroughly investigated. It is named after the English botanist, Robert Brown, who in 1827 observed that small particles immersed in a liquid exhibited ceaseless irregular motion. Brown himself mentions several precursors starting at the beginning with Leeuwenhoek (1632–1723). In 1905 Einstein, unaware of the existence of earlier investigations about Brownian motion, obtained a mathematical derivation of this process from the laws of physics. The theory of Brownian motion was further developed by several distinguished mathematical physicists until Norbert Wiener gave it a rigorous mathematical formulation in his 1918 dissertation and in later papers. This is why the Brownian motion is also called the Wiener process. For a brief history of the scientific developments of the process see Nelson (Dynamical theories of Brownian motion. Princeton: Princeton University Press, 1967).
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2008
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Nikolai Mitrofanovich Krylov · Graduate studies in mathematics · 2002
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Carlos A. Braumann · 2019
The Wiener process plays an essential role in the stochastic differential equations. It translates the cumulative effect of the underlying random perturbations affecting the dynamics of the phenomenon under study, so we are assuming that the perturbing noise is continuous-time white noise. In practice, it is enough that this is a good approximation. Bachelier used the Wiener process in 1900 to model the price of stocks in the Paris stock market and Einstein used it to model the Brownian motion of a particle suspended on a fluid. However, only after 1920 was this process rigorously studied by Wiener and by Levy. This chapter examines the main properties. It denotes the standard Wiener process indifferently by W(t) (abbreviation of W(t, ω)) or by Wt (abbreviation of Wt(ω)). The chapter gives the formal definition of the standard Wiener process.
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Yunyu Zhang (8501778) · Figshare · 2020
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Nikolai Mitrofanovich Krylov · Translations of mathematical monographs · 1994
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Brandon Robinson, Sudhi Sharma Padillath Vasudevan · OSF Preprints (OSF Preprints) · 2025
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Philip Pearle · 2024
Subject Astronomy and Astrophysics Computational Physics Collection: Oxford Scholarship Online
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Miklós Csörgő · Canadian Mathematical Bulletin · 1979
Bachelier (1900), Einstein (1905) and Smoluchowski (1915) provided a theory of the peculiar erratic motion of small particles suspended in a liquid, first described in 1826 by the English botanist Brown. In a series of papers beginning in 1920 Wiener undertook a mathematical analysis of Brownian motion.
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IMPERIAL COLLEGE PRESS eBooks · 2013
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Seijas Macias, José Antonio · Dialnet (Universidad de la Rioja) · 2013
The Wiener process (Brownian motion) is commonly applied, \nnowadays, in several fields of science, especially in finance and financial \nmathematics. We use an elementary construction of the Wiener process, based \non a proper sequence of simple symmetric random walks. This method is a \nsimplification of those of F.B. Knight and P. Révész, cited in [1]. Mathematica \nsoftware has been useful to provide an implementation of the method \nproposed. We present two implementations of methods applied to obtain a \nWiener process, one being a discrete-time model, and the other, the Lévy's \nmethod.
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