نتایج جستجو برای: diffusive

تعداد نتایج: 11508  

2002
FRANÇOIS GOLSE SHI JIN DAVID LEVERMORE C. D. LEVERMORE

We present a domain decomposition theory on an interface problem for the linear transport equation between a diffusive and a non-diffusive region. To leading order, i.e. up to an error of the order of the mean free path in the diffusive region, the solution in the non-diffusive region is independent of the density in the diffusion region. However, the diffusive and the non-diffusive regions are...

1995
G. Montambaux

The average persistent current 〈I〉 of diffusive electrons in the Hartree-Fock approximation is derived in a simple non-diagrammatic picture. The Fourier expansion directly reflects the winding number decomposition of the diffusive motion around the ring. One recovers the results of Ambegaokar and Eckern, and Schmid. Moreover one finds an expression for 〈I〉 which is valid beyond the diffusive re...

2015
Yann Sweeney Jeanette Kotaleski Matthias H. Hennig

Gaseous neurotransmitters such as nitric oxide (NO) provide a unique and often overlooked mechanism for neurons to communicate through diffusion within a network, independent of synaptic connectivity. NO provides homeostatic control of intrinsic excitability. Here we conduct a theoretical investigation of the distinguishing roles of NO-mediated diffusive homeostasis in comparison with canonical...

1993
Bracy H. Elton Garry H. Rodrigue

Lattice Boltzmann methods are numerical schemes derived as a kinetic approximation of an underlying lattice gas. A numerical convergence theory for nonlinear convective-diffusive lattice Boltzmann methods is established. Convergence, consistency, and stability are defined through truncated Hilbert expansions. In this setting it is shown that consistency and stability imply convergence. Monotone...

2006
B. Boudjehem L. Chaabi H. Tebbikh

This article presents a new approach so-called 'diffusive pseudo invariant' with application on the robust control of a DC motor with uncertain parameters. The fundamental property of this approach is to preserve as much as possible, in the uncertainty domain, the dynamic characteristics of the system. The controllers obtained are of fractional nature and can be achieved in a non-hereditary way...

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