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Cayley identity for Schwarzian derivatives

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21: 19.12 Asymptotic Approximations
22: 27.16 Cryptography
Thus, y x r ( mod n ) and 1 y < n . … By the Euler–Fermat theorem (27.2.8), x ϕ ( n ) 1 ( mod n ) ; hence x t ϕ ( n ) 1 ( mod n ) . But y s x r s x 1 + t ϕ ( n ) x ( mod n ) , so y s is the same as x modulo n . …
23: 16.3 Derivatives and Contiguous Functions
§16.3 Derivatives and Contiguous Functions
§16.3(i) Differentiation Formulas
Other versions of these identities can be constructed with the aid of the operator identity
16.3.5 ( z d d z z ) n = z n d n d z n z n , n = 1 , 2 , .
24: 25.4 Reflection Formulas
25.4.5 ( 1 ) k ζ ( k ) ( 1 s ) = 2 ( 2 π ) s m = 0 k r = 0 m ( k m ) ( m r ) ( ( c k m ) cos ( 1 2 π s ) + ( c k m ) sin ( 1 2 π s ) ) Γ ( r ) ( s ) ζ ( m r ) ( s ) ,
25.4.6 c ln ( 2 π ) 1 2 π i .
25: 1.4 Calculus of One Variable
§1.4(iii) Derivatives
Higher Derivatives
Chain Rule
Leibniz’s Formula
L’Hôpital’s Rule
26: 1.2 Elementary Algebra
and f ( k ) is the k -th derivative of f 1.4(iii)). … The identity matrix 𝐈 , is defined as
1.2.53 𝐈 = [ δ i , j ] .
1.2.71 det ( 𝐀 λ 𝐈 ) = 0 ,
The diagonal elements are not necessarily distinct, and the number of identical (degenerate) diagonal elements is the multiplicity of that specific eigenvalue. …
27: 18.9 Recurrence Relations and Derivatives
§18.9 Recurrence Relations and Derivatives
Jacobi
Ultraspherical
Laguerre
Hermite
28: 36.9 Integral Identities
§36.9 Integral Identities
36.9.9 | Ψ ( E ) ( x , y , z ) | 2 = 8 π 2 3 2 / 3 0 0 2 π ( Ai ( 1 3 1 / 3 ( x + i y + 2 z u exp ( i θ ) + 3 u 2 exp ( 2 i θ ) ) ) Bi ( 1 3 1 / 3 ( x i y + 2 z u exp ( i θ ) + 3 u 2 exp ( 2 i θ ) ) ) ) u d u d θ .
29: 35.7 Gaussian Hypergeometric Function of Matrix Argument
35.7.2 P ν ( γ , δ ) ( 𝐓 ) = Γ m ( γ + ν + 1 2 ( m + 1 ) ) Γ m ( γ + 1 2 ( m + 1 ) ) F 1 2 ( ν , γ + δ + ν + 1 2 ( m + 1 ) γ + 1 2 ( m + 1 ) ; 𝐓 ) , 𝟎 < 𝐓 < 𝐈 ; γ , δ , ν ; ( γ ) > 1 .
35.7.7 F 1 2 ( a , b c ; 𝐈 ) = Γ m ( c ) Γ m ( c a b ) Γ m ( c a ) Γ m ( c b ) , ( c ) , ( c a b ) > 1 2 ( m 1 ) .
35.7.9 t j ( 1 t j ) 2 F t j 2 1 2 k = 1 k j m t k ( 1 t k ) t j t k F t k + ( c 1 2 ( m 1 ) ( a + b 1 2 ( m 3 ) ) t j + 1 2 k = 1 k j m t j ( 1 t j ) t j t k ) F t j = a b F ,
30: 18.2 General Orthogonal Polynomials
If the orthogonality discrete set X is { 0 , 1 , , N } or { 0 , 1 , 2 , } , then the role of the differentiation operator d / d x in the case of classical OP’s (§18.3) is played by Δ x , the forward-difference operator, or by x , the backward-difference operator; compare §18.1(i). … The constant function p 0 ( x ) will often, but not always, be identically 1 (see, for example, (18.2.11_8)), p 1 ( x ) = 0 in all cases, by convention, as indicated in §18.1(i). … As in §18.1(i) we assume that p 1 ( x ) 0 . … The operator D x is a delta operator, i. …, D x commutes with translation in the variable x and D x x is a nonzero constant. …