2006
DOI: 10.1142/s021953050600070x
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Interior Error Estimate for Periodic Homogenization

Abstract: Abstract.In a previous article about the homogenization of the classical problem of diffusion in a bounded domain with sufficiently smooth boundary we proved that the error is of order ε 1/2 . Now, for an open set Ω with sufficiently smooth boundary (C

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Cited by 128 publications
(183 citation statements)
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“…Applying estimates in Lemmata 2.3, 2.5 and Convergence Theorem [7,8], see Theorem 5.3 in Appendix, implies the convergences for u ε , v ε , w ε in (12). The strong convergence of r ε is achieved by showing that T…”
Section: Unfolded Limit Equations We Defineωmentioning
confidence: 92%
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“…Applying estimates in Lemmata 2.3, 2.5 and Convergence Theorem [7,8], see Theorem 5.3 in Appendix, implies the convergences for u ε , v ε , w ε in (12). The strong convergence of r ε is achieved by showing that T…”
Section: Unfolded Limit Equations We Defineωmentioning
confidence: 92%
“…The main ideas of the methodology were presented in [12,13] and applied to linear elliptic equations with oscillating coefficients, posed in a fixed domain. Our approach strongly relies on these results.…”
Section: Introductionmentioning
confidence: 99%
“…The formula (30) suggests that after the unitary rescaling ε , the differential expression that defines the operator loses its dependence on the parameter ε on the soft component. This becomes obvious after the substitution τ = εt in (30).…”
Section: Proposition 22 the Determinant Of Mmentioning
confidence: 99%
“…The formula (30) suggests that after the unitary rescaling ε , the differential expression that defines the operator loses its dependence on the parameter ε on the soft component. This becomes obvious after the substitution τ = εt in (30). Henceforth, we use τ and εt interchangeably: τ in the objects pertaining to the soft component, and εt in those pertaining to the stiff component, as in the latter case one cannot drop the explicit dependence on ε.…”
Section: Proposition 22 the Determinant Of Mmentioning
confidence: 99%
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