2018
DOI: 10.1007/978-3-319-75647-9_6
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Factorization Method and General Second Order Linear Difference Equation

Abstract: This paper addresses an investigation on a factorization method for difference equations. It is proved that some classes of second order linear difference operators, acting in Hilbert spaces, can be factorized using a pair of mutually adjoint first order difference operators. These classes encompass equations of hypergeometic type describing classical orthogonal polynomials of a discrete variable.

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Cited by 5 publications
(3 citation statements)
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References 22 publications
(37 reference statements)
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“…This type of factorizations was presented in detail for the general situation in a discrete case in [16][17][18] and in [19][20][21] for the τ-and q-cases too. It is based on classical methods taken from the work of some founders of quantum mechanics such as Schrödinger [22] (see also [23][24][25]).…”
Section: Sequence Of Discrete Quantum Harmonic Oscillatorsmentioning
confidence: 99%
See 1 more Smart Citation
“…This type of factorizations was presented in detail for the general situation in a discrete case in [16][17][18] and in [19][20][21] for the τ-and q-cases too. It is based on classical methods taken from the work of some founders of quantum mechanics such as Schrödinger [22] (see also [23][24][25]).…”
Section: Sequence Of Discrete Quantum Harmonic Oscillatorsmentioning
confidence: 99%
“…In general, the creation operator A * k is the adjoint of the annihilation operator A k relative to the scalar product (6), where the weight functions ρ k satisfy the Pearson type equations (see [17]). In our case, we have…”
Section: Sequence Of Discrete Quantum Harmonic Oscillatorsmentioning
confidence: 99%
“…This article is an extension of previous works concerning the factorization method applied to second order differential and difference operators [32,23,26,29,1,2,10,11,12,22,31]. Some results obtained in [8,9,27] are used and adapted to our context. As general references related to these subjects, we recommend [3,13,17,18,19,28,30].…”
Section: Introductionmentioning
confidence: 97%