Chebyshev polynomials: Difference between revisions

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(New page: '''Chebyshev polynomials''' of the first kind are a set of orthogonal polynomials defined as the solutions to the Chebyshev differential equation and denoted <math>T_n(x)</math>. They are ...)
 
m (Added orthogonality condition)
 
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:<math>\left. T_6 (x)\right. =32x^6  - 48x^4 + 18x^2 -1</math>
:<math>\left. T_6 (x)\right. =32x^6  - 48x^4 + 18x^2 -1</math>
==Orthogonality==
The Chebyshev polynomials are orthogonal polynomials with respect to the weighting function
<math>(1-x^2)^{-1/2}</math> such that
:<math>\int_{-1}^{1} \frac{T_m (x)T_n (x)  }{ \sqrt{1-x^2}} \mathrm{d} x= \left\{ \begin{array}{lll}
\frac{1}{2}\pi \delta_{(mn)} & ; & m \neq 0, n\neq 0 \\
\pi  & ; & m=n=0 \end{array} \right.</math>


where <math>\delta_{(mn)}</math> is the [[Kronecker delta]].
==Applications in statistical mechanics==
*[[Computational implementation of integral equations]]
==See also==
==See also==
*[http://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html Chebyshev Polynomial of the First Kind -- from Wolfram MathWorld]]
*[http://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html Chebyshev Polynomial of the First Kind -- from Wolfram MathWorld]
[[category: mathematics]]
[[category: mathematics]]

Latest revision as of 12:29, 7 July 2008

Chebyshev polynomials of the first kind are a set of orthogonal polynomials defined as the solutions to the Chebyshev differential equation and denoted Tn(x). They are used as an approximation to a least squares fit, and are a special case of the ultra-spherical polynomial (Gegenbauer polynomial) with α=0. Chebyshev polynomial of the first kind, Tn(z) can be defined by the contour integral

Tn(z)=14πi∮(1−t2)t−n−1(1−2tz+t2)dt

The first seven Chebyshev polynomials of the first kind are:

T0(x)=1


T1(x)=x


T2(x)=2x2−1


T3(x)=4x3−3x


T4(x)=8x4−8x2+1


T5(x)=16x5−20x3+5x


T6(x)=32x6−48x4+18x2−1

Orthogonality[edit]

The Chebyshev polynomials are orthogonal polynomials with respect to the weighting function (1−x2)−1/2 such that

∫−11Tm(x)Tn(x)1−x2dx={12πδ(mn);m≠0,n≠0π;m=n=0

where δ(mn) is the Kronecker delta.

Applications in statistical mechanics[edit]

See also[edit]