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11: 34.9 Graphical Method
§34.9 Graphical Method
For specific examples of the graphical method of representing sums involving the 3 j , 6 j , and 9 j symbols, see Varshalovich et al. (1988, Chapters 11, 12) and Lehman and O’Connell (1973, §3.3).
12: 34.6 Definition: 9 j Symbol
The 9 j symbol may be defined either in terms of 3 j symbols or equivalently in terms of 6 j symbols:
34.6.1 { j 11 j 12 j 13 j 21 j 22 j 23 j 31 j 32 j 33 } = all  m r s ( j 11 j 12 j 13 m 11 m 12 m 13 ) ( j 21 j 22 j 23 m 21 m 22 m 23 ) ( j 31 j 32 j 33 m 31 m 32 m 33 ) ( j 11 j 21 j 31 m 11 m 21 m 31 ) ( j 12 j 22 j 32 m 12 m 22 m 32 ) ( j 13 j 23 j 33 m 13 m 23 m 33 ) ,
34.6.2 { j 11 j 12 j 13 j 21 j 22 j 23 j 31 j 32 j 33 } = j ( 1 ) 2 j ( 2 j + 1 ) { j 11 j 21 j 31 j 32 j 33 j } { j 12 j 22 j 32 j 21 j j 23 } { j 13 j 23 j 33 j j 11 j 12 } .
13: 18.38 Mathematical Applications
3 j and 6 j Symbols
The 3 j symbol (34.2.6), with an alternative expression as a terminating F 2 3 of unit argument, can be expressed in terms of Hahn polynomials (18.20.5) or, by (18.21.1), dual Hahn polynomials. The orthogonality relations in §34.3(iv) for the 3 j symbols can be rewritten in terms of orthogonality relations for Hahn or dual Hahn polynomials as given by §§18.2(i), 18.2(iii) and Table 18.19.1 or by §18.25(iii), respectively. … The 6 j symbol (34.4.3), with an alternative expression as a terminating balanced F 3 4 of unit argument, can be expressend in terms of Racah polynomials (18.26.3). …
14: 34.8 Approximations for Large Parameters
§34.8 Approximations for Large Parameters
For large values of the parameters in the 3 j , 6 j , and 9 j symbols, different asymptotic forms are obtained depending on which parameters are large. …
34.8.1 { j 1 j 2 j 3 j 2 j 1 l 3 } = ( 1 ) j 1 + j 2 + j 3 + l 3 ( 4 π ( 2 j 1 + 1 ) ( 2 j 2 + 1 ) ( 2 l 3 + 1 ) sin θ ) 1 2 ( cos ( ( l 3 + 1 2 ) θ 1 4 π ) + o ( 1 ) ) , j 1 , j 2 , j 3 l 3 1 ,
Uniform approximations in terms of Airy functions for the 3 j and 6 j symbols are given in Schulten and Gordon (1975b). For approximations for the 3 j , 6 j , and 9 j symbols with error bounds see Flude (1998), Chen et al. (1999), and Watson (1999): these references also cite earlier work.
15: 34.4 Definition: 6 j Symbol
§34.4 Definition: 6 j Symbol
The 6 j symbol is defined by the following double sum of products of 3 j symbols: …where the summation is taken over all admissible values of the m ’s and m ’s for each of the four 3 j symbols; compare (34.2.2) and (34.2.3). Except in degenerate cases the combination of the triangle inequalities for the four 3 j symbols in (34.4.1) is equivalent to the existence of a tetrahedron (possibly degenerate) with edges of lengths j 1 , j 2 , j 3 , l 1 , l 2 , l 3 ; see Figure 34.4.1. … where F 3 4 is defined as in §16.2. …
16: 16.4 Argument Unity
See Raynal (1979) for a statement in terms of 3 j symbols (Chapter 34). …
17: 34.7 Basic Properties: 9 j Symbol
34.7.1 { j 11 j 12 j 13 j 21 j 22 j 13 j 31 j 31 0 } = ( 1 ) j 12 + j 21 + j 13 + j 31 ( ( 2 j 13 + 1 ) ( 2 j 31 + 1 ) ) 1 2 { j 11 j 12 j 13 j 22 j 21 j 31 } .
34.7.2 j 12 j 34 ( 2 j 12 + 1 ) ( 2 j 34 + 1 ) ( 2 j 13 + 1 ) ( 2 j 24 + 1 ) { j 1 j 2 j 12 j 3 j 4 j 34 j 13 j 24 j } { j 1 j 2 j 12 j 3 j 4 j 34 j 13 j 24 j } = δ j 13 , j 13 δ j 24 , j 24 .
34.7.3 j 13 j 24 ( 1 ) 2 j 2 + j 24 + j 23 j 34 ( 2 j 13 + 1 ) ( 2 j 24 + 1 ) { j 1 j 2 j 12 j 3 j 4 j 34 j 13 j 24 j } { j 1 j 3 j 13 j 4 j 2 j 24 j 14 j 23 j } = { j 1 j 2 j 12 j 4 j 3 j 34 j 14 j 23 j } .
34.7.4 ( j 13 j 23 j 33 m 13 m 23 m 33 ) { j 11 j 12 j 13 j 21 j 22 j 23 j 31 j 32 j 33 } = m r 1 , m r 2 , r = 1 , 2 , 3 ( j 11 j 12 j 13 m 11 m 12 m 13 ) ( j 21 j 22 j 23 m 21 m 22 m 23 ) ( j 31 j 32 j 33 m 31 m 32 m 33 ) ( j 11 j 21 j 31 m 11 m 21 m 31 ) ( j 12 j 22 j 32 m 12 m 22 m 32 ) .
34.7.5 j ( 2 j + 1 ) { j 11 j 12 j j 21 j 22 j 23 j 31 j 32 j 33 } { j 11 j 12 j j 23 j 33 j } = ( 1 ) 2 j { j 21 j 22 j 23 j 12 j j 32 } { j 31 j 32 j 33 j j 11 j 21 } .
18: 34.5 Basic Properties: 6 j Symbol
34.5.1 { j 1 j 2 j 3 0 j 3 j 2 } = ( 1 ) J ( ( 2 j 2 + 1 ) ( 2 j 3 + 1 ) ) 1 2 ,
34.5.17 j ( 2 j + 1 ) { j 1 j 2 j j 1 j 2 j } = ( 1 ) 2 ( j 1 + j 2 ) ,
34.5.18 j ( 1 ) j 1 + j 2 + j ( 2 j + 1 ) { j 1 j 2 j j 2 j 1 j } = ( 2 j 1 + 1 ) ( 2 j 2 + 1 ) δ j , 0 ,
34.5.19 l { j 1 j 2 l j 2 j 1 j } = 0 , 2 μ j odd, μ = min ( j 1 , j 2 ) ,
34.5.23 ( j 1 j 2 j 3 m 1 m 2 m 3 ) { j 1 j 2 j 3 l 1 l 2 l 3 } = m 1 m 2 m 3 ( 1 ) l 1 + l 2 + l 3 + m 1 + m 2 + m 3 ( j 1 l 2 l 3 m 1 m 2 m 3 ) ( l 1 j 2 l 3 m 1 m 2 m 3 ) ( l 1 l 2 j 3 m 1 m 2 m 3 ) .
19: 10 Bessel Functions
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20: 18 Orthogonal Polynomials