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Roots of Polynomials Expressed in Terms of Orthogonal Polynomials
Author(s) -
David Day,
Louis A. Romero
Publication year - 2005
Publication title -
siam journal on numerical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.78
H-Index - 134
eISSN - 1095-7170
pISSN - 0036-1429
DOI - 10.1137/040609847
Subject(s) - mathematics , chebyshev polynomials , orthogonal polynomials , eigenvalues and eigenvectors , transcendental equation , classical orthogonal polynomials , polynomial , transcendental function , polynomial matrix , transcendental number , discrete orthogonal polynomials , chebyshev nodes , stability (learning theory) , gegenbauer polynomials , numerical analysis , pure mathematics , mathematical analysis , matrix polynomial , physics , quantum mechanics , machine learning , computer science
A technique is presented for determining the roots of a polynomial $p(x)$ that is expressed in terms of an expansion in orthogonal polynomials. The roots are expressed as the eigenvalues of a nonstandard companion matrix $B_n$ whose coefficients depend on the recurrence formula for the orthogonal polynomials, and on the coefficients of the orthogonal expansion. Some questions on the numerical stability of the eigenvalue problem to which they give rise are discussed. The problem of finding the roots of a transcendental function $f(x)$ can be reduced to the problem considered by approximating $f(x)$ by a Chebyshev polynomial. We illustrate the effectiveness of this convert-to-Chebyshev strategy by solving several transcendental equations using this plus our new algorithm. We analyze the numerical stability through both linear algebra theory and numerical experiments and find that this method is very well conditioned.

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