Orthogonal polynomials in monotone and convex interpolation

1988 ◽  
pp. 20-31
Author(s):  
Alan Edelman ◽  
Charles A. Micchelli
Keyword(s):  
Orthogonal Polynomials ◽  
Convex Interpolation ◽  
Monotone And Convex Interpolation

Admissible slopes for monotone and convex interpolation

1987 ◽  
Vol 51 (4) ◽  
pp. 441-458 ◽  
Author(s):  
Alan Edelman ◽  
Charles A. Micchelli
Keyword(s):  
Convex Interpolation ◽  
Monotone And Convex Interpolation

scholarly journals A new family of orthogonal polynomials in three variables

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Rabia Aktaş ◽  
Iván Area ◽  
Esra Güldoğan
Keyword(s):  
Orthogonal Polynomials ◽  
New Family

scholarly journals Non-local Solvable Birth–Death Processes

2021 ◽  
Author(s):  
Giacomo Ascione ◽  
Nikolai Leonenko ◽  
Enrica Pirozzi
Keyword(s):  
Differential Equations ◽  
Orthogonal Polynomials ◽  
Limit Distribution ◽  
Spectral Decomposition ◽  
Strong Solutions ◽  
Stochastic Representation ◽  
Discrete Approximations ◽  
Local Difference ◽  
Non Local ◽  
Birth Death

AbstractIn this paper, we study strong solutions of some non-local difference–differential equations linked to a class of birth–death processes arising as discrete approximations of Pearson diffusions by means of a spectral decomposition in terms of orthogonal polynomials and eigenfunctions of some non-local derivatives. Moreover, we give a stochastic representation of such solutions in terms of time-changed birth–death processes and study their invariant and their limit distribution. Finally, we describe the correlation structure of the aforementioned time-changed birth–death processes.

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