Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/15220
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dc.contributor.authorCruz, Carlapt
dc.contributor.authorFalcão, Maria Irenept
dc.contributor.authorMalonek, Helmuth R.pt
dc.date.accessioned2016-02-27T13:02:05Z-
dc.date.available2016-02-27T13:02:05Z-
dc.date.issued2014-08-
dc.identifier.issn1099-1476pt
dc.identifier.urihttp://hdl.handle.net/10773/15220-
dc.description.abstractThe use of a non-commutative algebra in hypercomplex function theory requires a large variety of different representations of polynomials suitably adapted to the solution of different concrete problems. Naturally arises the question of their relationships and the advantages or disadvantages of different types of polynomials. In this sense, the present paper investigates the intrinsic relationship between two different types of monogenic Appell polynomials. Several authors payed attention to the construction of complete sets of monogenic Appell polynomials, orthogonal with respect to a certain inner product, and used them advantageously for the study of problems in 3D-elasticity and other problems. Our goal is to show that, as consequence of the binomial nature of those generalized Appell polynomials, their inner structure is determined by interesting combinatorial relations in which the central binomial coefficients play a special role. As a byproduct of own interest, a Riordan-Sofo type binomial identity is also proved.pt
dc.language.isoengpt
dc.publisherJohn Wiley & Sonspt
dc.relationFCT - PEst-C/MAT/UI4106/2011, FCOMP-01-0124-FEDER-022690pt
dc.relationFCT - SFRH/BD/44999/2008pt
dc.rightsopenAccesspor
dc.subjectFunctions of hypercomplex variablespt
dc.subjectCombinatorial identitiespt
dc.subjectGeneralized Appell polynomialspt
dc.titleMonogenic pseudo-complex power functions and their applicationspt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage1723pt
degois.publication.issue12pt
degois.publication.issue12
degois.publication.lastPage1735pt
degois.publication.titleMathematical Methods in the Applied Sciencespt
degois.publication.volume37pt
dc.identifier.doi10.1002/mma.2931pt
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