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o Weierstrass's Theorem - Leaving no 'Stone' Unturned
被引:3
作者:
Sury, B.
[1
]
机构:
[1] Indian Stat Inst, Stat Math Unit, 8th Mile Mysore Rd, Bangalore 560059, Karnataka, India
来源:
RESONANCE-JOURNAL OF SCIENCE EDUCATION
|
2011年
/
16卷
/
04期
关键词:
Weierstrass approximation;
Fejer's theorem;
Fejer kernel;
polynomial approximation;
Hausdorff theorem;
moments;
Bernstein polynomial;
Gaussian quadrature;
Legendre polynomial;
Fourier series;
D O I:
10.1007/s12045-011-0040-1
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
In this article, we discuss the basic theme of approximating functions by polynomial functions. Although it is exemplified by the classical theorem of Weierstrass, the theme goes much further. Even on the face of it, the advantage of polynomial approximations can be seen from the fact that unlike general continuous functions, it is possible to numerically feed polynomial interpolations of such functions into a computer and the justification that we will be as accurate as we want is provided by the theorems we discuss. In reality, this theme goes deep into subjects like Fourier series and has applications like separability of the space of continuous functions. Marshall Stone's generalisation to compact Hausdorff spaces is natural and important in mathematics. Applications of the Weierstrass approximation theorem abound in mathematics - to Gaussian quadrature for instance.
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页码:341 / 355
页数:15
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