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Asymptotic analysis for periodic structures

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TLDR
In this article, the authors give a systematic introduction of multiple scale methods for partial differential equations, including their original use for rigorous mathematical analysis in elliptic, parabolic, and hyperbolic problems, and with the use of probabilistic methods when appropriate.
Abstract
This is a reprinting of a book originally published in 1978. At that time it was the first book on the subject of homogenization, which is the asymptotic analysis of partial differential equations with rapidly oscillating coefficients, and as such it sets the stage for what problems to consider and what methods to use, including probabilistic methods. At the time the book was written the use of asymptotic expansions with multiple scales was new, especially their use as a theoretical tool, combined with energy methods and the construction of test functions for analysis with weak convergence methods. Before this book, multiple scale methods were primarily used for non-linear oscillation problems in the applied mathematics community, not for analyzing spatial oscillations as in homogenization. In the current printing a number of minor corrections have been made, and the bibliography was significantly expanded to include some of the most important recent references. This book gives systematic introduction of multiple scale methods for partial differential equations, including their original use for rigorous mathematical analysis in elliptic, parabolic, and hyperbolic problems, and with the use of probabilistic methods when appropriate. The book continues to be interesting and useful to readers of different backgrounds, both from pure and applied mathematics, because of its informal style of introducing the multiple scale methodology and the detailed proofs.

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On the functional central limit theorem and the law of the iterated logarithm for Markov processes

TL;DR: In this article, it was shown that for all f in the range of A,n−n −1 n−n−1/n−2 n−1 1.
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Multifaceted nature of hydrogeologic scaling and its interpretation

TL;DR: In this paper, the authors present evidence that hydrogeologic variables exhibit isotropic and directional dependencies on scales of measurement (data support), observation (extent of phenomena such as a dispersing plume), sampling window (domain of investigation), spatial correlation (structural coherence), and spatial resolution (descriptive detail).
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Toward realization of computational homogenization in practice

TL;DR: The purpose of this paper is to motivate practitioners to adopt the computational homogenization as an integral part of their analysis and design process and to encourage commercial code vendors to seamlessly integrate the architectures proposed in their legacy codes.
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Effective Boundary Conditions for Laminar Flows over Periodic Rough Boundaries

TL;DR: In this paper, effective boundary conditions or wall laws are proposed for a laminar flow over a rough wall with periodic roughness elements, which allows the details of the wall to be avoided and dramatically reduces the computational cost.
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Microstructural effects in elastic composites

TL;DR: In this paper, the static microstructural effects of periodic elastic composites were studied by the homogenization method, based on the analysis of the momentum balance equations which appear at higher orders.
References
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Measurable eigenvectors for Hermitian matrix-valued polynomials☆

TL;DR: In this article, a polynomial Hermitian matrices over the complex number field C are considered and the relative eigenvalue problem is formulated as a linear combination of the repeated eigenvalues of the matrix A(p)x = λEx, x ϵ Cm.