Results 311 to 320 of about 1,538,874 (331)
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Making sense of Brownian motion: colloid characterization by dynamic light scattering.
Langmuir, 2015Dynamic light scattering (DLS) has evolved as a fast, convenient tool for particle size analysis of noninteracting spherical colloids. In this historical review, we discuss the basic principle, data analysis, and important precautions to be taken while ...
P. Hassan, Suman Rana, G. Verma
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Brownian motion and stochastic flow systems
, 1986Brownian Motion. Stochastic Models of Buffered Flow. Further Analysis of Brownian Motion. Stochastic Calculus. Regulated Brownian Motion. Optimal Control of Brownain Motion. Optimizing Flow System Performance. Appendixes. Index.
Download Here, Rubem Braga
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Dynamical Theories of Brownian Motion
, 1967These notes are based on a course of lectures given by Professor Nelson at Princeton during the spring term of 1966. The subject of Brownian motion has long been of interest in mathematical probability.
Edward Nelson
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Brownian Motion of a Quantum Oscillator
, 1961An action principle technique for the direct computation of expectation values is described and illustrated in detail by a special physical example, the effect on an oscillator of another physical system.
J. Schwinger
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Probability Theory and Related Fields, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wendelin Werner, Mihael Perman
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wendelin Werner, Mihael Perman
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On Equations of Brownian Motion
Theory of Probability & Its Applications, 1964A study is made of the relationships between the different descriptions of Brownian motion expressed as an integro-differential equation of Boltzmann type, as a Langevin equation and a partial differential equation corresponding to it, and as Fokker-Plank-Kolmogorov equations.
R. Z. Khas’minskii, A. M. Il’in
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Physical Review E, 1994
We present microscopic observations of the diffusion in water of micrometer-sized spheres confined between two walls. Deviations from the Stokes-Einstein law are observed, which for different bead diameters and different separations between the walls depend on a single dimensionless parameter.
Albert Libchaber, Luc P. Faucheux
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We present microscopic observations of the diffusion in water of micrometer-sized spheres confined between two walls. Deviations from the Stokes-Einstein law are observed, which for different bead diameters and different separations between the walls depend on a single dimensionless parameter.
Albert Libchaber, Luc P. Faucheux
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Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 1985
A Gaussian measure \(\mu\) on the vector space M(d) of real \(d\times d\) matrices is called isotropic if it is invariant under all automorphisms \(\tau_ u: M(d)\to M(d)\), \(A\mapsto U^{-1}AU\), where \(U\in O(d)\), the group of orthogonal matrices. \(\mu\) is characterized by its covariance C. Let W(t) be an M(d) valued (''additive'') Brownian motion
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A Gaussian measure \(\mu\) on the vector space M(d) of real \(d\times d\) matrices is called isotropic if it is invariant under all automorphisms \(\tau_ u: M(d)\to M(d)\), \(A\mapsto U^{-1}AU\), where \(U\in O(d)\), the group of orthogonal matrices. \(\mu\) is characterized by its covariance C. Let W(t) be an M(d) valued (''additive'') Brownian motion
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Brownian Motion and Diffusions
2011Multi-skewed Brownian motion Bα = {Bαt: t ≥ 0} with skewness sequence α = {αk: k ∈ Z} and interface set S = {xk: k ∈ Z} is the solution to Xt = X0 + Bt + ∫R LX(t, x)dμ(x) with μ = ∑k∈Z(2αk - 1)δxk We assume that αk ∈ (0, 1)\{1/2} and that S has no accumulation points.
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