Estimating Spectral Density Functions for Sturm-Liouville problems with two singular endpoints
DOI: | 10.48550/arxiv.1303.2989 |
---|---|
Přístupová URL adresa: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::304ea156a48b16dde89bf549a6146f2b |
Rights: | OPEN |
Přírůstkové číslo: | edsair.doi.dedup.....304ea156a48b16dde89bf549a6146f2b |
Autor: | Charles T. Fulton, David Pearson, Steven Pruess |
Rok vydání: | 2013 |
Předmět: |
0209 industrial biotechnology
Regular singular point Recurrence relation 65L15 34B20 34B24 34B30 Applied Mathematics General Mathematics media_common.quotation_subject 020208 electrical & electronic engineering Mathematical analysis Spectrum (functional analysis) Sturm–Liouville theory 02 engineering and technology Numerical Analysis (math.NA) Infinity Lambda Computational Mathematics 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Piecewise FOS: Mathematics Point at infinity Mathematics - Numerical Analysis Mathematics media_common |
DOI: | 10.48550/arxiv.1303.2989 |
Popis: | In this paper we consider the Sturm-Liouville equation -y"+qy = lambda*y on the half line (0,infinity) under the assumptions that x=0 is a regular singular point and nonoscillatory for all real lambda, and that either (i) q is L_1 near x=infinity, or (ii) q' is L_1 near infinity with q(x) --> 0 as x --> infinity, so that there is absolutely continuous spectrum in (0,infinity). Characterizations of the spectral density function for this doubly singular problem, similar to those obtained in [12] and [13] (when the left endpoint is regular) are established; corresponding approximants from the two algorithms in [12] and [13] are then utilized, along with the Frobenius recurrence relations and piecewise trigonometric - hyperbolic splines, to generate numerical approximations to the spectral density function associated with the doubly singular problem on (0,infinity). In the case of the radial part of the separated hydrogen atom problem, the new algorithms are capable of achieving near machine precision accuracy over the range of lambda from 0.1 to 10000, accuracies which could not be achieved using the SLEDGE software package. |
Databáze: | OpenAIRE |
Externí odkaz: |