getdoc4768. 90KB Jun 04 2011 12:04:20 AM
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The Gaussian is an abbreviation of all subjects related to the Gauss function e − (px 2 +qx+r) like the Gaussian beam, Gaussian process, Gaussian noise, etc.. It plays a
Kouachi [6], we generalized the above results concerning the eigenvalues of tridiagonal matrices (1) satisfying condition (2), but we were unable to calculate the
Let us finally mention that while the results on the harmonic measure of Section 4.2 and 4.3 will be needed both in section 6 and 7, Corollary 4.3 of Section 4.1 will be crucial for
Similar remarks apply to the Gaussian ensembles: in Dyson’s work [Dy62] it turned out that, in contrast to the complex case, the process version of the Gaussian orthogonal ensemble
Houdr´e (1995): A characterization of Gaussian measures via the isoperi- metric property of
Keywords: Gaussian random walk; maximum; Riemann zeta function; Euler-Maclaurin summa- tion; equidistant sampling of Brownian motion; finite
This Gaussian concentration is derived from a Gaussian upper bound of the density of the scheme and a modification of the so-called “Herbst argument” used to prove Logarithmic
We present a stochastic process with sawtooth paths whose distribution is given by a simple rule and whose stationary distribution is Gaussian.. The process arose in a natural way
