1983
DOI: 10.1137/0720063
|View full text |Cite
|
Sign up to set email alerts
|

The Spectrum of the Chebyshev Collocation Operator for the Heat Equation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
65
0

Year Published

1988
1988
2016
2016

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 99 publications
(65 citation statements)
references
References 3 publications
0
65
0
Order By: Relevance
“…In Section 3 we use the results obtained for the hyperbolic equations to show that for the heat equation the second-derivative matrices, corresponding to the Neumann conditions with the new approach, have real and negative eigenvalues. The analogous result for the classical way to impose boundary conditions was previously proven in [8].…”
Section: Introductionmentioning
confidence: 51%
See 1 more Smart Citation
“…In Section 3 we use the results obtained for the hyperbolic equations to show that for the heat equation the second-derivative matrices, corresponding to the Neumann conditions with the new approach, have real and negative eigenvalues. The analogous result for the classical way to impose boundary conditions was previously proven in [8].…”
Section: Introductionmentioning
confidence: 51%
“…In order to show that the roots of g(p) and h(p) are real negative and distinct, we use the notion of a positive pair (see [5] and [8]). Two polynomials form a positive pair if their roots are real negative and interlaced.…”
Section: Boundary Conditions For Elliptic Equationsmentioning
confidence: 99%
“…As proved in [9], they are real, distinct and negative. We now display l/vi, where ui are the eigenvalues of (6.14) (6.15) for TV = 8:…”
Section: The Y-dependentmentioning
confidence: 99%
“…Using the results in [9] and looking at the eigenvalue problem There are (N -l)(M -1) eigenvalues and the same number of linearly independent eigenfunctions of (7.5)-(7.7), and it is easy to see that the eigenfunctions are products of the one-dimensional eigenfunctions, i.e., *%'M,(x,y) = *k(y)*i(x), where $k(y) is an eigenfunction of (6.5)-(6.6) and $;(x) is an eigenfunction of (7.11)-(7.12).…”
Section: The Y-dependentmentioning
confidence: 99%
“…Since Fourier analysis is used in y, we consider the region -oo < y < oo. where u/ç are the eigenvalues of (6.5)-(6.6), which are real, distinct and negative by [9]. Since / **(yi) \ \*k(yM-i)J fc=i,...,M-i are linearly independent, we have…”
Section: The Y-dependentmentioning
confidence: 99%