14 resultados para Hermite Associated Functions

em Bulgarian Digital Mathematics Library at IMI-BAS


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It is proved that if the increasing sequence {kn} n=0..∞ n=0 of nonnegative integers has density greater than 1/2 and D is an arbitrary simply connected subregion of C\R then the system of Hermite associated functions Gkn(z) n=0..∞ is complete in the space H(D) of complex functions holomorphic in D.

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* This work was supported by the CNR while the author was visiting the University of Milan.

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2000 Mathematics Subject Classification: 34K99, 44A15, 44A35, 42A75, 42A63

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Mathematics Subject Classification: 33C60, 33C20, 44A15

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Using monotone bifunctions, we introduce a recession concept for general equilibrium problems relying on a variational convergence notion. The interesting purpose is to extend some results of P. L. Lions on variational problems. In the process we generalize some results by H. Brezis and H. Attouch relative to the convergence of the resolvents associated with maximal monotone operators.

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A group-theoretic method of obtaining more general class of generating functions from a given class of partial quasi-bilateral generating functions involving Hermite, Laguerre and Gegenbaur polynomials are discussed.

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We characterize the range of some spaces of functions by the Fourier transform associated with the spherical mean operator R and we give a new description of the Schwartz spaces. Next, we prove a Paley-Wiener and a Paley-Wiener-Schawrtz theorems.

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Mathematics Subject Classification: 26A33, 33E12, 33C20.

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2000 Mathematics Subject Classification: 42B20, 42B25, 42B35

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2000 Mathematics Subject Classification: 35E45

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AMS Subj. Classification: 11M41, 11M26, 11S40

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AMS Subject Classification 2010: 11M26, 33C45, 42A38.

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In non-linear random effects some attention has been very recently devoted to the analysis ofsuitable transformation of the response variables separately (Taylor 1996) or not (Oberg and Davidian 2000) from the transformations of the covariates and, as far as we know, no investigation has been carried out on the choice of link function in such models. In our study we consider the use of a random effect model when a parameterized family of links (Aranda-Ordaz 1981, Prentice 1996, Pregibon 1980, Stukel 1988 and Czado 1997) is introduced. We point out the advantages and the drawbacks associated with the choice of this data-driven kind of modeling. Difficulties in the interpretation of regression parameters, and therefore in understanding the influence of covariates, as well as problems related to loss of efficiency of estimates and overfitting, are discussed. A case study on radiotherapy usage in breast cancer treatment is discussed.

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2000 Mathematics Subject Classification: 60J80, 60F05