Chebyshev polynomials

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1: 18.3 Definitions
§18.3 Definitions
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Table 18.3.1: Orthogonality properties for classical OP’s: intervals, weight functions, standardizations, leading coefficients, and parameter constraints. …
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Name p n ⁡ ( x ) ( a , b ) w ⁡ ( x ) h n k n k ~ n / k n Constraints
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Chebyshev of second kind U n ⁡ ( x ) ( − 1 , 1 ) ( 1 − x 2 ) 1 2 1 2 ⁢ π 2 n 0
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Shifted Chebyshev of second kind U n ∗ ⁡ ( x ) ( 0 , 1 ) ( x − x 2 ) 1 2 1 8 ⁢ π 2 2 ⁢ n − 1 2 ⁢ n
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… ►In addition to the orthogonal property given by Table 18.3.1, the Chebyshev polynomials T n ⁡ ( x ) , n = 0 , 1 , … , N , are orthogonal on the discrete point set comprising the zeros x N + 1 , n , n = 1 , 2 , … , N + 1 , of T N + 1 ⁡ ( x ) : … ►For another version of the discrete orthogonality property of the polynomials T n ⁡ ( x ) see (3.11.9). …
2: 18.41 Tables
… ►For P n ⁡ ( x ) ( = 𝖯 n ⁡ ( x ) ) see §14.33. ►Abramowitz and Stegun (1964, Tables 22.4, 22.6, 22.11, and 22.13) tabulates T n ⁡ ( x ) , U n ⁡ ( x ) , L n ⁡ ( x ) , and H n ⁡ ( x ) for n = 0 ⁢ ( 1 ) ⁢ 12 . The ranges of x are 0.2 ⁢ ( .2 ) ⁢ 1 for T n ⁡ ( x ) and U n ⁡ ( x ) , and 0.5 , 1 , 3 , 5 , 10 for L n ⁡ ( x ) and H n ⁡ ( x ) . …
3: 18.7 Interrelations and Limit Relations
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Chebyshev, Ultraspherical, and Jacobi
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18.7.7 T n ∗ ⁡ ( x ) = T n ⁡ ( 2 ⁢ x − 1 ) ,
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18.7.8 U n ∗ ⁡ ( x ) = U n ⁡ ( 2 ⁢ x − 1 ) .
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18.7.17 U 2 ⁢ n ⁡ ( x ) = W n ⁡ ( 2 ⁢ x 2 − 1 ) ,
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18.7.18 T 2 ⁢ n + 1 ⁡ ( x ) = x ⁢ V n ⁡ ( 2 ⁢ x 2 − 1 ) .
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4: 18.9 Recurrence Relations and Derivatives
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Table 18.9.1: Classical OP’s: recurrence relations (18.9.1).
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p n ⁡ ( x ) A n B n C n
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U n ⁡ ( x ) 2 0 1
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U n ∗ ⁡ ( x ) 4 − 2 1
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18.9.9 T n ⁡ ( x ) = 1 2 ⁢ ( U n ⁡ ( x ) − U n − 2 ⁡ ( x ) ) ,
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18.9.12 T n + 1 ⁡ ( x ) + T n ⁡ ( x ) = ( 1 + x ) ⁢ V n ⁡ ( x ) .
►Identities similar to (18.9.11) and (18.9.12) involving W n ⁡ ( x ) and T n ⁡ ( x ) can be obtained using rows 4 and 7 in Table 18.6.1. …
5: 18.1 Notation
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  • Chebyshev of first, second, third, and fourth kinds: T n ⁡ ( x ) , U n ⁡ ( x ) , V n ⁡ ( x ) , W n ⁡ ( x ) .

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  • Shifted Chebyshev of first and second kinds: T n ∗ ⁡ ( x ) , U n ∗ ⁡ ( x ) .

  • … ►Nor do we consider the shifted Jacobi polynomials: … ►
    C n ⁡ ( x ) = 2 ⁢ T n ⁡ ( 1 2 ⁢ x ) ,
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    S n ⁡ ( x ) = U n ⁡ ( 1 2 ⁢ x ) .
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    6: 18.6 Symmetry, Special Values, and Limits to Monomials
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    Table 18.6.1: Classical OP’s: symmetry and special values.
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    p n ⁡ ( x ) p n ⁡ ( − x ) p n ⁡ ( 1 ) p 2 ⁢ n ⁡ ( 0 ) p 2 ⁢ n + 1 ′ ⁡ ( 0 )
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    T n ⁡ ( x ) ( − 1 ) n ⁢ T n ⁡ ( x ) 1 ( − 1 ) n ( − 1 ) n ⁢ ( 2 ⁢ n + 1 )
    U n ⁡ ( x ) ( − 1 ) n ⁢ U n ⁡ ( x ) n + 1 ( − 1 ) n ( − 1 ) n ⁢ ( 2 ⁢ n + 2 )
    V n ⁡ ( x ) ( − 1 ) n ⁢ W n ⁡ ( x ) 1 ( − 1 ) n ( − 1 ) n ⁢ ( 2 ⁢ n + 2 )
    W n ⁡ ( x ) ( − 1 ) n ⁢ V n ⁡ ( x ) 2 ⁢ n + 1 ( − 1 ) n ( − 1 ) n ⁢ ( 2 ⁢ n + 2 )
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    7: 18.5 Explicit Representations
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    T 0 ⁡ ( x ) = 1 ,
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    T 1 ⁡ ( x ) = x ,
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    T 2 ⁡ ( x ) = 2 ⁢ x 2 − 1 ,
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    T 3 ⁡ ( x ) = 4 ⁢ x 3 − 3 ⁢ x ,
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    U 0 ⁡ ( x ) = 1 ,
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    8: 3.11 Approximation Techniques
    … ►The Chebyshev polynomials T n are given by … ►
    3.11.7 T n + 1 ⁡ ( x ) − 2 ⁢ x ⁢ T n ⁡ ( x ) + T n − 1 ⁡ ( x ) = 0 , n = 1 , 2 , … ,
    ►with initial values T 0 ⁡ ( x ) = 1 , T 1 ⁡ ( x ) = x . … ►For the expansion (3.11.11), numerical values of the Chebyshev polynomials T n ⁡ ( x ) can be generated by application of the recurrence relation (3.11.7). …Let c n ⁢ T n ⁡ ( x ) be the last term retained in the truncated series. …
    9: 18.8 Differential Equations
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    Table 18.8.1: Classical OP’s: differential equations A ⁡ ( x ) ⁢ f ′′ ⁡ ( x ) + B ⁡ ( x ) ⁢ f ′ ⁡ ( x ) + C ⁡ ( x ) ⁢ f ⁡ ( x ) + λ n ⁢ f ⁡ ( x ) = 0 .
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    # f ⁡ ( x ) A ⁡ ( x ) B ⁡ ( x ) C ⁡ ( x ) λ n
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    5 T n ⁡ ( x ) 1 − x 2 − x 0 n 2
    6 U n ⁡ ( x ) 1 − x 2 − 3 ⁢ x 0 n ⁢ ( n + 2 )
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    10: 16.26 Approximations
    … ►For discussions of the approximation of generalized hypergeometric functions and the Meijer G -function in terms of polynomials, rational functions, and Chebyshev polynomials see Luke (1975, §§5.12 - 5.13) and Luke (1977b, Chapters 1 and 9).