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Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$30,000.00

Graphic Wave Potentials & Capacities

EF 2024-25

Résumé
What is proposed here is  for us to develop an analysis of the potentials & capacities for graphical hypersurfaces of smooth functions on the punctured Euclidean space based on the recent works: # D. Adams, Capacity and blow-up for the 3+1 dimensional wave operator. Forum Math. 20(2008)341-357 | Capacity and potentials on curves. Forum Math. 22(2010)985-991 | Wolff potentials and the 3-d wave operator. Forum Math. 23(2011)961-967. # J. Xiao, Entropy flux-electrostatic capacity-graphical mass. Proc. Amer. Math. Soc. 145(2017)825-832 | The transport equation in scaling invariant Besov or Essén-Janson-Peng-Xiao space. J. Differential Equations 266(2019)7124-7151 | Energy formulae for fractional Schrödinger-Poisson system. J. Differential Equations 331(2022)50-69. More precisely, given a smooth function G defined on Rn \{0} & g a smooth cut-off function g on Rn & 0 in ?Dx(0,T), give a better trade-off between noise removal & edge preservation in image analysis ? How much is the fractional calculus involved in this image processing ? Needless to say, answering the objective-based questions will not only reveal the nice behavior of a hypersurface average within wave propagation but also add new ideas-methods with the heat-wave nature to Applied Mathematics & Mathematical Physics & Information Technology.
Programme
Discovery Grants Program - Individual
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2023-06026
Name nom
Xiao, Jie
Department département
Mathematics & Statistics
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
30000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
2953
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Wave propagation
Research subject fr
Propagation des ondes
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Graphic Wave Potentials & Capacities
Keywords
graphical hypersurface; potential-capacity-mass-energy-flow; wave equation-operator-propagation; trace/restriction law; capacitary-strong-type inequality; sobolev-morrey-type embedding; fractional maximal function; heat equation-operator-conduction; quasi continuity - fine property; comparison principle
Application summary
What is proposed here is  for us to develop an analysis of the potentials & capacities for graphical hypersurfaces of smooth functions on the punctured Euclidean space based on the recent works: # D. Adams, Capacity and blow-up for the 3+1 dimensional wave operator. Forum Math. 20(2008)341-357 | Capacity and potentials on curves. Forum Math. 22(2010)985-991 | Wolff potentials and the 3-d wave operator. Forum Math. 23(2011)961-967. # J. Xiao, Entropy flux-electrostatic capacity-graphical mass. Proc. Amer. Math. Soc. 145(2017)825-832 | The transport equation in scaling invariant Besov or Essén-Janson-Peng-Xiao space. J. Differential Equations 266(2019)7124-7151 | Energy formulae for fractional Schrödinger-Poisson system. J. Differential Equations 331(2022)50-69. More precisely, given a smooth function G defined on Rn \{0} & g a smooth cut-off function g on Rn & 0 in ?Dx(0,T), give a better trade-off between noise removal & edge preservation in image analysis ? How much is the fractional calculus involved in this image processing ? Needless to say, answering the objective-based questions will not only reveal the nice behavior of a hypersurface average within wave propagation but also add new ideas-methods with the heat-wave nature to Applied Mathematics & Mathematical Physics & Information Technology.
Memorial University of Newfoundland - $30,000 Grant (… | Canada Spends