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On the Convolution Equation Related to the Diamond Klein-Gordon Operator
Author(s) -
Amphon Liangprom,
Kamsing laopon
Publication year - 2011
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2011/908491
Subject(s) - mathematics , iterated function , convolution (computer science) , operator (biology) , distribution (mathematics) , mathematical analysis , convolution power , dirac delta function , klein–gordon equation , variable (mathematics) , constant (computer programming) , pure mathematics , mathematical physics , fourier transform , quantum mechanics , physics , chemistry , computer science , fourier analysis , biochemistry , repressor , nonlinear system , machine learning , artificial neural network , transcription factor , fractional fourier transform , gene , programming language
We study the distribution eαx(♢+m2)kδ for m≥0, where (♢+m2)k is the diamond Klein-Gordon operator iterated k times, δ is the Dirac delta distribution, x=(x1,x2,…,xn) is a variable in ℝn, and α=(α1,α2,…,αn) is a constant. In particular, we study the application of eαx(♢+m2)kδ for solving the solution of some convolution equation. We find that the types of solution of such convolution equation, such as the ordinary function and the singular distribution, depend on the relationship between k and M

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