1,441 research outputs found
(Discrete) Almansi Type Decompositions: An umbral calculus framework based on symmetries
We introduce the umbral calculus formalism for hypercomplex variables
starting from the fact that the algebra of multivariate polynomials
\BR[\underline{x}] shall be described in terms of the generators of the
Weyl-Heisenberg algebra. The extension of \BR[\underline{x}] to the algebra
of Clifford-valued polynomials gives rise to an algebra of
Clifford-valued operators whose canonical generators are isomorphic to the
orthosymplectic Lie algebra .
This extension provides an effective framework in continuity and discreteness
that allow us to establish an alternative formulation of Almansi decomposition
in Clifford analysis (c.f. \cite{Ryan90,MR02,MAGU}) that corresponds to a
meaningful generalization of Fischer decomposition for the subspaces .
We will discuss afterwards how the symmetries of \mathfrak{sl}_2(\BR) (even
part of ) are ubiquitous on the recent approach of
\textsc{Render} (c.f. \cite{Render08}), showing that they can be interpreted in
terms of the method of separation of variables for the Hamiltonian operator in
quantum mechanics.Comment: Improved version of the Technical Report arXiv:0901.4691v1; accepted
for publication @ Math. Meth. Appl. Sci
http://www.mat.uc.pt/preprints/ps/p1054.pdf (Preliminary Report December
2010
On multivariable cumulant polynomial sequences with applications
A new family of polynomials, called cumulant polynomial sequence, and its
extensions to the multivariate case is introduced relied on a purely symbolic
combinatorial method. The coefficients of these polynomials are cumulants, but
depending on what is plugged in the indeterminates, either sequences of moments
either sequences of cumulants can be recovered. The main tool is a formal
generalization of random sums, also with a multivariate random index and not
necessarily integer-valued. Applications are given within parameter
estimations, L\'evy processes and random matrices and, more generally, problems
involving multivariate functions. The connection between exponential models and
multivariable Sheffer polynomial sequences offers a different viewpoint in
characterizing these models. Some open problems end the paper.Comment: 17 pages, In pres
Josef Meixner: his life and his orthogonal polynomials
This paper starts with a biographical sketch of the life of Josef Meixner.
Then his motivations to work on orthogonal polynomials and special functions
are reviewed. Meixner's 1934 paper introducing the Meixner and
Meixner-Pollaczek polynomials is discussed in detail. Truksa's forgotten 1931
paper, which already contains the Meixner polynomials, is mentioned. The paper
ends with a survey of the reception of Meixner's 1934 paper.Comment: v4: 18 pages, generating function for Krawtchouk polynomials on p.10
correcte
On a representation of time space-harmonic polynomials via symbolic L\'evy processes
In this paper, we review the theory of time space-harmonic polynomials
developed by using a symbolic device known in the literature as the classical
umbral calculus. The advantage of this symbolic tool is twofold. First a moment
representation is allowed for a wide class of polynomial stochastic involving
the L\'evy processes in respect to which they are martingales. This
representation includes some well-known examples such as Hermite polynomials in
connection with Brownian motion. As a consequence, characterizations of many
other families of polynomials having the time space-harmonic property can be
recovered via the symbolic moment representation. New relations with
Kailath-Segall polynomials are stated. Secondly the generalization to the
multivariable framework is straightforward. Connections with cumulants and Bell
polynomials are highlighted both in the univariate case and in the multivariate
one. Open problems are addressed at the end of the paper
Multivariate time-space harmonic polynomials: a symbolic approach
By means of a symbolic method, in this paper we introduce a new family of
multivariate polynomials such that multivariate L\'evy processes can be dealt
with as they were martingales. In the univariate case, this family of
polynomials is known as time-space harmonic polynomials. Then, simple
closed-form expressions of some multivariate classical families of polynomials
are given. The main advantage of this symbolic representation is the plainness
of the setting which reduces to few fundamental statements but also of its
implementation in any symbolic software. The role played by cumulants is
emphasized within the generalized Hermite polynomials. The new class of
multivariate L\'evy-Sheffer systems is introduced.Comment: In pres
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