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In the [[mathematical]] subfields of [[numerical analysis]] and [[mathematical analysis]], a '''trigonometric polynomial''' is a finite [[linear combination]] of [[Function (mathematics)|functions]] sin(''nx'') and cos(''nx'') with ''n'' taking on the values of one or more [[natural number]]s. The coefficients may be taken as real numbers, for real-valued functions. For [[complex number|complex]][[ coefficients]], there is no difference between such a function and a finite [[Fourier series]].
 
Trigonometric polynomials are widely used, for example in [[trigonometric interpolation]] applied to the  [[interpolation]] of [[periodic function]]s. They are used also in the [[discrete Fourier transform]].
 
The term ''trigonometric polynomial'' for the real-valued case can be seen as using the [[analogy]]: the functions sin(''nx'') and cos(''nx'') are similar to the [[monomial basis]] for [[polynomial]]s. In the complex case the trigonometric polynomials are spanned by the positive and negative powers of ''e''<sup>''ix''</sup>.
 
==Formal definition==
Any function ''T'' of the form
 
:<math>T(x) = a_0 + \sum_{n=1}^N a_n \cos (nx) + \mathrm{i}\sum_{n=1}^N b_n \sin(nx) \qquad (x \in \mathbf{R})</math>
 
with ''a''<sub>''n''</sub>, ''b''<sub>''n''</sub> in '''C''' for 0 ≤ ''n'' ≤ ''N'', is called a '''complex trigonometric polynomial''' of degree ''N'' {{harv|Rudin|1987|p=88}}. Using [[Euler's formula]] the polynomial can be rewritten as
 
:<math>T(x) = \sum_{n=-N}^N c_n \mathrm{e}^{\mathrm{i}nx} \qquad (x \in \mathbf{R}).</math>
 
Analogously let ''a''<sub>''n''</sub>,  ''b''<sub>''n''</sub> be in '''R''', 0 ≤ ''n'' ≤ ''N'' and ''a''<sub>''N''</sub> ≠ 0 or ''b''<sub>''N''</sub> ≠ 0 then
 
:<math>t(x) = a_0 + \sum_{n=1}^N a_n \cos (nx) + \sum_{n=1}^N b_n \sin(nx) \qquad (x \in \mathbf{R})</math>
 
is called '''real trigonometric polynomial''' of degree ''N'' {{harv|Powell|1981|p=150}}.
 
==Notes==
 
A trigonometric polynomial can be considered a [[periodic function]] on the [[real line]], with [[Periodic function|period]] some multiple of 2π, or as a function on the [[unit circle]].
 
A basic result is that the trigonometric polynomials are [[dense set|dense]] in the space of [[continuous function]]s on the unit circle, with the [[uniform norm]] {{harv|Rudin|1987|loc=Thm 4.25}}; this is a special case of the [[Stone–Weierstrass theorem]]. More concretely, for every continuous function &fnof; and every &epsilon; > 0, there exists a trigonometric polynomial ''T'' such that |&fnof;(''z'') &minus; T(''z'')| < &epsilon; for all ''z''. [[Fejér's theorem]] states that the arithmetic means of the partial sums of the [[Fourier series]] of &fnof; converge uniformly to &fnof;, thus giving an explicit way to find an approximating trigonometric polynomial ''T''.
 
A trigonometric polynomial of degree ''N'' has a maximum of 2''N'' roots in any open interval <nowiki>[</nowiki>''a'', ''a'' + 2π) with a in '''R''', unless it is the zero function {{harv|Powell|1981|p=150}}.
 
==References==
* {{Citation | last1=Powell | first1=Michael J. D. | author1-link=Michael J. D. Powell | title=Approximation Theory and Methods | publisher=[[Cambridge University Press]] | isbn=978-0-521-29514-7 | year=1981}}
* {{Citation | last1=Rudin | first1=Walter | author1-link=Walter Rudin | title=Real and complex analysis | publisher=[[McGraw-Hill]] | location=New York | edition=3rd | isbn=978-0-07-054234-1 | id={{MathSciNet | id = 924157}} | year=1987}}.
 
[[Category:Approximation theory]]
[[Category:Fourier analysis]]
[[Category:Polynomials]]
[[Category:Trigonometry]]

Revision as of 11:36, 17 January 2014

In the mathematical subfields of numerical analysis and mathematical analysis, a trigonometric polynomial is a finite linear combination of functions sin(nx) and cos(nx) with n taking on the values of one or more natural numbers. The coefficients may be taken as real numbers, for real-valued functions. For complexcoefficients, there is no difference between such a function and a finite Fourier series.

Trigonometric polynomials are widely used, for example in trigonometric interpolation applied to the interpolation of periodic functions. They are used also in the discrete Fourier transform.

The term trigonometric polynomial for the real-valued case can be seen as using the analogy: the functions sin(nx) and cos(nx) are similar to the monomial basis for polynomials. In the complex case the trigonometric polynomials are spanned by the positive and negative powers of eix.

Formal definition

Any function T of the form

with an, bn in C for 0 ≤ nN, is called a complex trigonometric polynomial of degree N Template:Harv. Using Euler's formula the polynomial can be rewritten as

Analogously let an, bn be in R, 0 ≤ nN and aN ≠ 0 or bN ≠ 0 then

is called real trigonometric polynomial of degree N Template:Harv.

Notes

A trigonometric polynomial can be considered a periodic function on the real line, with period some multiple of 2π, or as a function on the unit circle.

A basic result is that the trigonometric polynomials are dense in the space of continuous functions on the unit circle, with the uniform norm Template:Harv; this is a special case of the Stone–Weierstrass theorem. More concretely, for every continuous function ƒ and every ε > 0, there exists a trigonometric polynomial T such that |ƒ(z) − T(z)| < ε for all z. Fejér's theorem states that the arithmetic means of the partial sums of the Fourier series of ƒ converge uniformly to ƒ, thus giving an explicit way to find an approximating trigonometric polynomial T.

A trigonometric polynomial of degree N has a maximum of 2N roots in any open interval [a, a + 2π) with a in R, unless it is the zero function Template:Harv.

References

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    Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

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