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From: Olumide on 24 Feb 2010 04:15 Would someone kindly explain to me why is white noise considered to be the the derivative of Brownian motion? I know what white noise is, and I know what Brownian motion is. I just don't know how they relate. Thanks, - Olumide
From: µ on 24 Feb 2010 05:20 Olumide a �crit : > Would someone kindly explain to me why is white noise considered to be > the the derivative of Brownian motion? > > I know what white noise is, and I know what Brownian motion is. I just > don't know how they relate. The variation of Brownian motion between instants t and t+dt is normal of variance dt and, moreover, independant of the variation over antoher time segment [s,s+ds]. -- M�
From: Jon Slaughter on 24 Feb 2010 05:25 Olumide wrote: > Would someone kindly explain to me why is white noise considered to be > the the derivative of Brownian motion? > > I know what white noise is, and I know what Brownian motion is. I just > don't know how they relate. > http://en.wikipedia.org/wiki/Brownian_noise "A Brownian signal is expressed mathematically as the integral of a white noise signal" compare the spectrums and the random process properties and you'll see that they are easily related. You can relate just about any two functions through their spectrums so it's not that big a deal. It just so happens that for brownian motion it is a simple expression. Well, it's not arbitrary as the processes are related in a somewhat logical way. e.g., the spectrum of white noise is a constant and the spectrum of brown noise is a constant/w. By the property of the fourier transform we can easily see how the spectrums are related since the 1/w comes from integrating. If it were a w it would be from differentiating, w^2 would be from differentiating twice, and some rational function would result in some int and derivative relations.
From: brieucs on 24 Feb 2010 05:42
hi, > Would someone kindly explain to me why is white noise considered to be > the the derivative of Brownian motion? > > I know what white noise is, and I know what Brownian motion is. I just > don't know how they relate. a trajectory of a brownian motion is an almost surely continuous function, but a.s. not differentiable as a function of time; the derivative of a trajectory of a B.M. (function of time), can be interpreted as a distribution (Schwartz); this distribution is the *white-noise* associated to the trajectory; this leads to a clever theory, involving Gelfand-Triples, and "huge" spaces; in the same time, physicists can present some simple notions based on discretisations of time, or audacious but not already rigorous considerations (Feynmann); I guess you refer to discrete White Noise; "delta B / delta t" makes sense in the discrete way, during (t, t + delta t); it gives an idea of the white noise; cf: Stochastic Analysis; Ito, Hida, Malliavin, Hui Hsiung Kuo (25 years of white noise), Oksendal, Albeverio, .... |