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Subclasses of Harmonic Mappings Defined by Convolution
Author(s) -
Santosh B. Joshi,
Girish D. Shelake
Publication year - 2013
Publication title -
journal of complex analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 7
eISSN - 2314-4963
pISSN - 2314-4971
DOI - 10.1155/2013/403624
Subject(s) - convolution (computer science) , extreme point , distortion (music) , convolution power , harmonic , mathematics , harmonic function , regular polygon , convex function , pure mathematics , mathematical analysis , computer science , combinatorics , physics , geometry , fourier transform , artificial intelligence , telecommunications , acoustics , amplifier , fourier analysis , bandwidth (computing) , artificial neural network , fractional fourier transform
Two new subclasses of harmonic univalent functions defined by using convolution and integral convolution are introduced. These subclasses generate several known and new subclasses of harmonic univalent functions as special cases and provide a unified treatment in the study of these classes. Coefficient bounds, extreme points, distortion bounds, convolution conditions, and convex combination are also determined

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