Small obstacle asymptotics for a 2D semi-linear convex problem. / Claeys, X.; Chesnel, L.; Nazarov, S.A.
In: Applicable Analysis, Vol. 97, No. 6, 26.04.2018, p. 962-981.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Small obstacle asymptotics for a 2D semi-linear convex problem
AU - Claeys, X.
AU - Chesnel, L.
AU - Nazarov, S.A.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - We study a 2D semi-linear equation in a domain with a small Dirichlet obstacle of size δ > 0. Using the method of matched asymptotic expansions, we compute an asymptotic expansion of the solution as δ tends to zero. Its relevance is justified by proving a rigorous error estimate. Then we construct an approximate model, based on an equation set in the limit domain without the small obstacle, which provides a good approximation of the far field of the solution of the original problem. The interest of this approximate model lies in the fact that it leads to a variational formulation which is very simple to discretize. We present numerical experiments to illustrate the analysis.
AB - We study a 2D semi-linear equation in a domain with a small Dirichlet obstacle of size δ > 0. Using the method of matched asymptotic expansions, we compute an asymptotic expansion of the solution as δ tends to zero. Its relevance is justified by proving a rigorous error estimate. Then we construct an approximate model, based on an equation set in the limit domain without the small obstacle, which provides a good approximation of the far field of the solution of the original problem. The interest of this approximate model lies in the fact that it leads to a variational formulation which is very simple to discretize. We present numerical experiments to illustrate the analysis.
KW - Small obstacle
KW - asymptotic analysis
KW - semi-linear convex problem
KW - singular perturbation
UR - http://www.scopus.com/inward/record.url?scp=85014494070&partnerID=8YFLogxK
U2 - 10.1080/00036811.2017.1295449
DO - 10.1080/00036811.2017.1295449
M3 - Article
VL - 97
SP - 962
EP - 981
JO - Applicable Analysis
JF - Applicable Analysis
SN - 0003-6811
IS - 6
ER -
ID: 35182393