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21: 10.29 Recurrence Relations and Derivatives
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10.29.5 𝒡 Ξ½ ( k ) ⁑ ( z ) = 1 2 k ⁒ ( 𝒡 Ξ½ k ⁑ ( z ) + ( k 1 ) ⁒ 𝒡 Ξ½ k + 2 ⁑ ( z ) + ( k 2 ) ⁒ 𝒡 Ξ½ k + 4 ⁑ ( z ) + β‹― + 𝒡 Ξ½ + k ⁑ ( z ) ) .
22: 25.4 Reflection Formulas
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25.4.5 ( 1 ) k ⁒ ΞΆ ( k ) ⁑ ( 1 s ) = 2 ( 2 ⁒ Ο€ ) s ⁒ m = 0 k r = 0 m ( k m ) ⁒ ( m r ) ⁒ ( ⁑ ( c k m ) ⁒ cos ⁑ ( 1 2 ⁒ Ο€ ⁒ s ) + ⁑ ( c k m ) ⁒ sin ⁑ ( 1 2 ⁒ Ο€ ⁒ s ) ) ⁒ Ξ“ ( r ) ⁑ ( s ) ⁒ ΞΆ ( m r ) ⁑ ( s ) ,
23: 26.11 Integer Partitions: Compositions
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26.11.3 c m ⁑ ( n ) = ( n 1 m 1 ) ,
24: 26.18 Counting Techniques
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26.18.4 k n + t = 1 n ( 1 ) t ⁒ ( k t ) ⁒ ( k t ) n .
25: 26.4 Lattice Paths: Multinomial Coefficients and Set Partitions
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26.4.1 ( n 1 + n 2 n 1 , n 2 ) = ( n 1 + n 2 n 1 ) = ( n 1 + n 2 n 2 ) ,
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26.4.2 ( n 1 + n 2 + β‹― + n k n 1 , n 2 , , n k ) = ( n 1 + n 2 + β‹― + n k ) ! n 1 ! ⁒ n 2 ! ⁒ β‹― ⁒ n k ! = j = 1 k 1 ( n j + n j + 1 + β‹― + n k n j ) .
26: 26.15 Permutations: Matrix Notation
β–ΊFor the problem of derangements, r j ⁑ ( B ) = ( n j ) . … β–Ί
26.15.9 r k ⁑ ( B ) = 2 ⁒ n 2 ⁒ n k ⁒ ( 2 ⁒ n k k ) .
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26.15.10 2 ⁒ ( n ! ) ⁒ N 0 ⁑ ( B ) = 2 ⁒ ( n ! ) ⁒ k = 0 n ( 1 ) k ⁒ 2 ⁒ n 2 ⁒ n k ⁒ ( 2 ⁒ n k k ) ⁒ ( n k ) ! .
27: 5.11 Asymptotic Expansions
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G 2 ⁑ ( a , b ) = 1 12 ⁒ ( a b 2 ) ⁒ ( 3 ⁒ ( a + b 1 ) 2 ( a b + 1 ) ) ,
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H 1 ⁑ ( a , b ) = 1 12 ⁒ ( a b 2 ) ⁒ ( a b + 1 ) ,
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H 2 ⁑ ( a , b ) = 1 240 ⁒ ( a b 4 ) ⁒ ( 2 ⁒ ( a b + 1 ) + 5 ⁒ ( a b + 1 ) 2 ) .
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5.11.17 G k ⁑ ( a , b ) = ( a b k ) ⁒ B k ( a b + 1 ) ⁑ ( a ) ,
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5.11.18 H k ⁑ ( a , b ) = ( a b 2 ⁒ k ) ⁒ B 2 ⁒ k ( a b + 1 ) ⁑ ( a b + 1 2 ) .
28: 26.7 Set Partitions: Bell Numbers
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26.7.6 B ⁑ ( n + 1 ) = k = 0 n ( n k ) ⁒ B ⁑ ( k ) .
29: 4.6 Power Series
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Binomial Expansion
β–ΊNote that (4.6.7) is a generalization of the binomial expansion (1.2.2) with the binomial coefficients defined in (1.2.6).
30: 26.16 Multiset Permutations
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26.16.1 [ a 1 + a 2 + β‹― + a n a 1 , a 2 , , a n ] q = k = 1 n 1 [ a k + a k + 1 + β‹― + a n a k ] q ,