For f # C [&1, 1], let H m, n ( f, x) denote the (0, 1, ..., m) Hermite Feje r (HF) interpolation polynomial of f based on the Chebyshev nodes. That is, H m, n ( f, x) is the polynomial of least degree which interpolates f (x) and has its first m derivatives vanish at each of the zeros of the nth Ch
Uniform Convergence of Lagrange Interpolation Based on the Jacobi Nodes
✍ Scribed by George Kvernadze
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 485 KB
- Volume
- 87
- Category
- Article
- ISSN
- 0021-9045
No coin nor oath required. For personal study only.
✦ Synopsis
Necessary and sufficient conditions are obtained for a continuous function guaranteeing the uniform convergence on the whole interval [ &1, 1] of its Lagrange interpolant based on the Jacobi nodes. The conditions are in terms of 4-variation, 8-variation, the modulus of variation, and the Banach indicatrix of a function.
1996 Academic Press, Inc.
n
(1)=( n+: n ), n # N. The system _( ) is defined uniquely and is called the Jacobi system of polynomials.
📜 SIMILAR VOLUMES
We consider the ``Freud weight'' W 2 Q (x)=exp( &Q(x)). let 1<p< , and let L\* n ( f ) be a modified Lagrange interpolation polynomial to a measurable , where 2 is a constant depending on p and :.