2013
DOI: 10.1137/120882111
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Spots in the Swift--Hohenberg Equation

Abstract: The existence of stationary localized spots for the planar and the three-dimensional Swift-Hohenberg equations is proved using geometric blow-up techniques. The spots found in this paper have a much larger amplitude than that expected from a formal scaling in the far field. One advantage of the geometric blow-up methods used here is that the anticipated amplitude scaling does not enter as an assumption into the analysis but emerges naturally during the construction. Thus, the approach used here may also be use… Show more

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Cited by 30 publications
(101 citation statements)
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“…When searching for radial solutions the problem is reduced to the study of some specific solutions of the related nonautonomous second order ODE with "time" r. For some types of nonlinearities the existence of infinitely many (sign-changing) radial solutions was proved in [16]. Those results were extended to more complicated higher order equations [22,26].…”
Section: Introductionmentioning
confidence: 99%
“…When searching for radial solutions the problem is reduced to the study of some specific solutions of the related nonautonomous second order ODE with "time" r. For some types of nonlinearities the existence of infinitely many (sign-changing) radial solutions was proved in [16]. Those results were extended to more complicated higher order equations [22,26].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, in many experimental studies [29,51,83], localized regions of cortical activity closely resemble a spot A solution with the shape of a J 0 (r)-Bessel function at the core with no ring structure. For the localized ring and spot B proofs one requires an additional hypothesis that the stable and unstable manifolds of the ring solution in the far-field normal form transversely intersect; see [82]. Spot B and localized rings have not been observed experimentally and we shall not discuss these further.…”
Section: Introductionmentioning
confidence: 99%
“…In spite of its robustness, dynamical systems techniques do not seem to be broad enough to capture unsurmountable difficulties in the study of multidimensional patterns. Recently, different research avenues have been exploited: several studies have been done using rigorous numerical analysis [MS13], harmonic analysis techniques [JS15, Jar15, BLBL12], variational techniques [Rab94], or more functional-analytic based techniques [MS18]. Still, many classes of problems remain unsolved, as that of asymmetrical grain boundaries, a case that does not seem to be directly amenable to the spatial dynamics techniques as presented in [HS12,SW14]; in this scenario the far/near decompositions we presented might be relevant for analytical results.…”
Section: Invasion Fronts and The Role Of χ(·)mentioning
confidence: 99%