scholarly journals Subelliptic Gevrey spaces

Author(s):  
Véronique Fischer ◽  
Michael Ruzhansky ◽  
Chiara Alba Taranto
Keyword(s):  

2003 ◽  
Vol 55 (4) ◽  
pp. 855-896 ◽  
Author(s):  
Kunihiko KAJITANI ◽  
Giovanni TAGLIALATELA


2021 ◽  
Vol 275 ◽  
pp. 234-249
Author(s):  
Daniel Oliveira da Silva ◽  
Alejandro J. Castro


1994 ◽  
Vol 135 ◽  
pp. 165-196 ◽  
Author(s):  
Masatake Miyake ◽  
Masafumi Yoshino

In the study of ordinary differential equations, Malgrange ([Ma]) and Ramis ([R1], [R2]) established index theorem in (formal) Gevrey spaces, and the notion of irregularity was nicely defined for the study of irregular points. In their studies, a Newton polygon has a great advantage to describe and understand the results in visual form. From this point of view, Miyake ([M2], [M3], [MH]) studied linear partial differential operators on (formal) Gevrey spaces and proved analogous results, and showed the validity of Newton polygon in the study of partial differential equations (see also [Yn]).





2017 ◽  
Vol 104 (3-4) ◽  
pp. 167-190 ◽  
Author(s):  
Luan T. Hoang ◽  
Vincent R. Martinez




Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2435
Author(s):  
Xiaolin Pan ◽  
Bin Wang ◽  
Rong Chen

This work mainly focuses on the continuity and analyticity for the generalized Benjamin–Ono (g-BO) equation. From the local well-posedness results for g-BO equation, we know that its solutions depend continuously on their initial data. In the present paper, we further show that such dependence is not uniformly continuous in Sobolev spaces Hs(R) with s>3/2. We also provide more information about the stability of the data-solution map, i.e., the solution map for g-BO equation is Hölder continuous in Hr-topology for all 0≤r<s with exponent α depending on s and r. Finally, applying the generalized Ovsyannikov type theorem and the basic properties of Sobolev–Gevrey spaces, we prove the Gevrey regularity and analyticity for the g-BO equation. In addition, by the symmetry of the spatial variable, we obtain a lower bound of the lifespan and the continuity of the data-to-solution map.



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