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elementary symmetric functions

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1: 19.36 Methods of Computation
When the differences are moderately small, the iteration is stopped, the elementary symmetric functions of certain differences are calculated, and a polynomial consisting of a fixed number of terms of the sum in (19.19.7) is evaluated. …
19.36.1 1 1 10 E 2 + 1 14 E 3 + 1 24 E 2 2 3 44 E 2 E 3 5 208 E 2 3 + 3 104 E 3 2 + 1 16 E 2 2 E 3 ,
where the elementary symmetric functions E s are defined by (19.19.4). …
19.36.2 1 3 14 E 2 + 1 6 E 3 + 9 88 E 2 2 3 22 E 4 9 52 E 2 E 3 + 3 26 E 5 1 16 E 2 3 + 3 40 E 3 2 + 3 20 E 2 E 4 + 45 272 E 2 2 E 3 9 68 ( E 3 E 4 + E 2 E 5 ) .
19.36.4 z 1 = 2.10985 99098 8 , z 3 = 2.15673 49098 8 , Z 1 = 0.00977 77253 5 , z 2 = 2.12548 49098 8 , A = 2.13069 32432 1 , Z 2 = 0.00244 44313 4 , Z 3 = Z 1 Z 2 = 0.01222 21566 9 , E 2 = -1.25480 14×10⁻⁴ , E 3 = -2.9212×10⁻⁷ .
2: 19.19 Taylor and Related Series
Define the elementary symmetric function E s ( 𝐳 ) by
19.19.4 j = 1 n ( 1 + t z j ) = s = 0 n t s E s ( 𝐳 ) ,
19.19.5 T N ( 𝟏 𝟐 , 𝐳 ) = ( 1 ) M + N ( 1 2 ) M E 1 m 1 ( 𝐳 ) E n m n ( 𝐳 ) m 1 ! m n ! ,
The number of terms in T N can be greatly reduced by using variables 𝐙 = 𝟏 ( 𝐳 / A ) with A chosen to make E 1 ( 𝐙 ) = 0 . …
E 1 ( 𝐙 ) = 0 , | Z j | < 1 .
3: 19.15 Advantages of Symmetry
Symmetry allows the expansion (19.19.7) in a series of elementary symmetric functions that gives high precision with relatively few terms and provides the most efficient method of computing the incomplete integral of the third kind (§19.36(i)). …
4: 1.11 Zeros of Polynomials
The elementary symmetric functions of the zeros are (with a n 0 ) …
5: 19.16 Definitions
§19.16(i) Symmetric Integrals
Just as the elementary function R C ( x , y ) 19.2(iv)) is the degenerate case …
§19.16(ii) R a ( 𝐛 ; 𝐳 )
§19.16(iii) Various Cases of R a ( 𝐛 ; 𝐳 )
6: Bibliography Z
  • R. Zanovello (1995) Numerical analysis of Struve functions with applications to other special functions. Ann. Numer. Math. 2 (1-4), pp. 199–208.
  • A. Zhedanov (1998) On some classes of polynomials orthogonal on arcs of the unit circle connected with symmetric orthogonal polynomials on an interval. J. Approx. Theory 94 (1), pp. 73–106.
  • D. G. Zill and B. C. Carlson (1970) Symmetric elliptic integrals of the third kind. Math. Comp. 24 (109), pp. 199–214.
  • A. Ziv (1991) Fast evaluation of elementary mathematical functions with correctly rounded last bit. ACM Trans. Math. Software 17 (3), pp. 410–423.
  • I. J. Zucker (1979) The summation of series of hyperbolic functions. SIAM J. Math. Anal. 10 (1), pp. 192–206.
  • 7: 19.24 Inequalities
    §19.24(i) Complete Integrals
    The condition y z for (19.24.1) and (19.24.2) serves only to identify y as the smaller of the two nonzero variables of a symmetric function; it does not restrict validity. …
    §19.24(ii) Incomplete Integrals
    The same reference also gives upper and lower bounds for symmetric integrals in terms of their elementary degenerate cases. …
    8: 22.15 Inverse Functions
    §22.15 Inverse Functions
    Each of these inverse functions is multivalued. … can be transformed into normal form by elementary change of variables. … For representations of the inverse functions as symmetric elliptic integrals see §19.25(v). …
    9: 22.14 Integrals
    §22.14(i) Indefinite Integrals of Jacobian Elliptic Functions
    For alternative, and symmetric, formulations of the results in this subsection see Carlson (2006a). … The indefinite integral of the 3rd power of a Jacobian function can be expressed as an elementary function of Jacobian functions and a product of Jacobian functions. … For indefinite integrals of squares and products of even powers of Jacobian functions in terms of symmetric elliptic integrals, see Carlson (2006b). …
    10: 19.17 Graphics
    §19.17 Graphics
    See Figures 19.17.119.17.8 for symmetric elliptic integrals with real arguments. Because the R -function is homogeneous, there is no loss of generality in giving one variable the value 1 or 1 (as in Figure 19.3.2). For R F , R G , and R J , which are symmetric in x , y , z , we may further assume that z is the largest of x , y , z if the variables are real, then choose z = 1 , and consider only 0 x 1 and 0 y 1 . …The case y = 1 corresponds to elementary functions. …