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L’Hôpital rule for derivatives

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31: 11.1 Special Notation
Unless indicated otherwise, primes denote derivatives with respect to the argument. … The functions treated in this chapter are the Struve functions 𝐇 ν ( z ) and 𝐊 ν ( z ) , the modified Struve functions 𝐋 ν ( z ) and 𝐌 ν ( z ) , the Lommel functions s μ , ν ( z ) and S μ , ν ( z ) , the Anger function 𝐉 ν ( z ) , the Weber function 𝐄 ν ( z ) , and the associated Anger–Weber function 𝐀 ν ( z ) .
32: 3.11 Approximation Techniques
to the maximum error of the minimax polynomial p n ( x ) is bounded by 1 + L n , where L n is the n th Lebesgue constant for Fourier series; see §1.8(i). Since L 0 = 1 , L n is a monotonically increasing function of n , and (for example) L 1000 = 4.07 , this means that in practice the gain in replacing a truncated Chebyshev-series expansion by the corresponding minimax polynomial approximation is hardly worthwhile. … The Padé approximants can be computed by Wynn’s cross rule. Any five approximants arranged in the Padé table as … By taking more derivatives into account, the smoothness of the spline will increase. …
33: 1.2 Elementary Algebra
and f ( k ) is the k -th derivative of f 1.4(iii)). … This is the row times column rule. …
1.2.45 𝐯 p = ( i = 1 n | v i | p ) 1 / p , p 1 .
1.2.48 𝐯 = max ( | v 1 | , | v 2 | , , | v n | ) .
1.2.50 | 𝐮 , 𝐯 | 𝐮 p 𝐯 q ,
34: 18.41 Tables
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 ) . … For P n ( x ) , L n ( x ) , and H n ( x ) see §3.5(v). …
35: 19.33 Triaxial Ellipsoids
The external field and the induced magnetization together produce a uniform field inside the ellipsoid with strength H / ( 1 + L c χ ) , where L c is the demagnetizing factor, given in cgs units by
19.33.7 L c = 2 π a b c 0 d λ ( a 2 + λ ) ( b 2 + λ ) ( c 2 + λ ) 3 = V R D ( a 2 , b 2 , c 2 ) .
19.33.8 L a + L b + L c = 4 π ,
where L a and L b are obtained from L c by permutation of a , b , and c . …
36: 23.9 Laurent and Other Power Series
23.9.1 c n = ( 2 n 1 ) w 𝕃 { 0 } w 2 n , n = 2 , 3 , 4 , .
23.9.2 ( z ) = 1 z 2 + n = 2 c n z 2 n 2 , 0 < | z | < | z 0 | ,
23.9.3 ζ ( z ) = 1 z n = 2 c n 2 n 1 z 2 n 1 , 0 < | z | < | z 0 | .
23.9.6 ( ω j + t ) = e j + ( 3 e j 2 5 c 2 ) t 2 + ( 10 c 2 e j + 21 c 3 ) t 4 + ( 7 c 2 e j 2 + 21 c 3 e j + 5 c 2 2 ) t 6 + O ( t 8 ) ,
23.9.7 σ ( z ) = m , n = 0 a m , n ( 10 c 2 ) m ( 56 c 3 ) n z 4 m + 6 n + 1 ( 4 m + 6 n + 1 ) ! ,
37: 11.15 Approximations
  • Luke (1975, pp. 416–421) gives Chebyshev-series expansions for 𝐇 n ( x ) , 𝐋 n ( x ) , 0 | x | 8 , and 𝐇 n ( x ) Y n ( x ) , x 8 , for n = 0 , 1 ; 0 x t m 𝐇 0 ( t ) d t , 0 x t m 𝐋 0 ( t ) d t , 0 | x | 8 , m = 0 , 1 and 0 x ( 𝐇 0 ( t ) Y 0 ( t ) ) d t , x t 1 ( 𝐇 0 ( t ) Y 0 ( t ) ) d t , x 8 ; the coefficients are to 20D.

  • MacLeod (1993) gives Chebyshev-series expansions for 𝐋 0 ( x ) , 𝐋 1 ( x ) , 0 x 16 , and I 0 ( x ) 𝐋 0 ( x ) , I 1 ( x ) 𝐋 1 ( x ) , x 16 ; the coefficients are to 20D.

  • 38: 23.7 Quarter Periods
    23.7.1 ( 1 2 ω 1 ) = e 1 + ( e 1 e 3 ) ( e 1 e 2 ) = e 1 + ω 1 2 ( K ( k ) ) 2 k ,
    23.7.2 ( 1 2 ω 2 ) = e 2 i ( e 1 e 2 ) ( e 2 e 3 ) = e 2 i ω 1 2 ( K ( k ) ) 2 k k ,
    23.7.3 ( 1 2 ω 3 ) = e 3 ( e 1 e 3 ) ( e 2 e 3 ) = e 3 ω 1 2 ( K ( k ) ) 2 k ,
    39: 8.19 Generalized Exponential Integral
    §8.19(v) Recurrence Relation and Derivatives
    p -Derivatives
    8.19.26 0 E p ( t ) E q ( t ) d t = L ( p ) + L ( q ) p + q 1 , p > 0 , q > 0 , p + q > 1 ,
    where …When p = 1 , 2 , 3 , , L ( p ) can also be evaluated via (8.19.24). …
    40: 1.8 Fourier Series
    1.8.8 L n = 1 π 0 π | sin ( n + 1 2 ) t | sin ( 1 2 t ) d t , n = 0 , 1 , .
    at every point at which f ( x ) has both a left-hand derivative (that is, (1.4.4) applies when h 0 ) and a right-hand derivative (that is, (1.4.4) applies when h 0 + ). … …