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莱斯布里奇大学学历认证【购证 微kaa77788】big

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1: 22.10 Maclaurin Series
22.10.1 sn ( z , k ) = z ( 1 + k 2 ) z 3 3 ! + ( 1 + 14 k 2 + k 4 ) z 5 5 ! ( 1 + 135 k 2 + 135 k 4 + k 6 ) z 7 7 ! + O ( z 9 ) ,
22.10.2 cn ( z , k ) = 1 z 2 2 ! + ( 1 + 4 k 2 ) z 4 4 ! ( 1 + 44 k 2 + 16 k 4 ) z 6 6 ! + O ( z 8 ) ,
22.10.3 dn ( z , k ) = 1 k 2 z 2 2 ! + k 2 ( 4 + k 2 ) z 4 4 ! k 2 ( 16 + 44 k 2 + k 4 ) z 6 6 ! + O ( z 8 ) .
22.10.4 sn ( z , k ) = sin z k 2 4 ( z sin z cos z ) cos z + O ( k 4 ) ,
22.10.6 dn ( z , k ) = 1 k 2 2 sin 2 z + O ( k 4 ) ,
2: 19.27 Asymptotic Approximations and Expansions
19.27.2 R F ( x , y , z ) = 1 2 z ( ln 8 z a + g ) ( 1 + O ( a z ) ) , a / z 0 .
19.27.3 R F ( x , y , z ) = R F ( 0 , y , z ) 1 h ( x h + O ( x h ) ) , x / h 0 .
19.27.4 R G ( x , y , z ) = z 2 ( 1 + O ( a z ln z a ) ) , a / z 0 .
19.27.5 R G ( x , y , z ) = R G ( 0 , y , z ) + x O ( x / h ) , x / h 0 .
19.27.6 R G ( 0 , y , z ) = z 2 + y 8 z ( ln ( 16 z y ) 1 ) ( 1 + O ( y z ) ) , y / z 0 .
3: 27.11 Asymptotic Formulas: Partial Sums
27.11.1 n x f ( n ) = F ( x ) + O ( g ( x ) ) ,
where F ( x ) is a known function of x , and O ( g ( x ) ) represents the error, a function of smaller order than F ( x ) for all x in some prescribed range. …
27.11.2 n x d ( n ) = x ln x + ( 2 γ 1 ) x + O ( x ) ,
Dirichlet’s divisor problem (unsolved as of 2022) is to determine the least number θ 0 such that the error term in (27.11.2) is O ( x θ ) for all θ > θ 0 . …
27.11.3 n x d ( n ) n = 1 2 ( ln x ) 2 + 2 γ ln x + O ( 1 ) ,
4: 25.9 Asymptotic Approximations
25.9.1 ζ ( σ + i t ) = 1 n x 1 n s + χ ( s ) 1 n y 1 n 1 s + O ( x σ ) + O ( y σ 1 t 1 2 σ ) ,
25.9.3 ζ ( 1 2 + i t ) = n = 1 m 1 n 1 2 + i t + χ ( 1 2 + i t ) n = 1 m 1 n 1 2 i t + O ( t 1 / 4 ) .
5: 2.1 Definitions and Elementary Properties
The symbol O can also apply to the whole set 𝐗 , and not just as x c . … The symbols o and O can be used generically. … For example, if f ( z ) is analytic for all sufficiently large | z | in a sector 𝐒 and f ( z ) = O ( z ν ) as z in 𝐒 , ν being real, then f ( z ) = O ( z ν 1 ) as z in any closed sector properly interior to 𝐒 and with the same vertex (Ritt’s theorem). This result also holds with both O ’s replaced by o ’s. … Differentiation, however, requires the kind of extra conditions needed for the O symbol (§2.1(ii)). …
6: 23.12 Asymptotic Approximations
23.12.2 ζ ( z ) = π 2 4 ω 1 2 ( z 3 + 2 ω 1 π cot ( π z 2 ω 1 ) 8 ( z ω 1 π sin ( π z ω 1 ) ) q 2 + O ( q 4 ) ) ,
23.12.3 σ ( z ) = 2 ω 1 π exp ( π 2 z 2 24 ω 1 2 ) sin ( π z 2 ω 1 ) ( 1 ( π 2 z 2 ω 1 2 4 sin 2 ( π z 2 ω 1 ) ) q 2 + O ( q 4 ) ) ,
23.12.4 η 1 = π 2 4 ω 1 ( 1 3 8 q 2 + O ( q 4 ) ) ,
7: 27.18 Methods of Computation: Primes
It runs in time O ( ( ln n ) c ln ln ln n ) . … That is to say, it runs in time O ( ( ln n ) c ) for some constant c . …
8: 3.4 Differentiation
3.4.20 u 0 , 0 x = 1 2 h ( u 1 , 0 u 1 , 0 ) + O ( h 2 ) ,
3.4.21 u 0 , 0 x = 1 4 h ( u 1 , 1 u 1 , 1 + u 1 , 1 u 1 , 1 ) + O ( h 2 ) .
3.4.22 2 u 0 , 0 x 2 = 1 h 2 ( u 1 , 0 2 u 0 , 0 + u 1 , 0 ) + O ( h 2 ) ,
3.4.25 2 u 0 , 0 x y = 1 4 h 2 ( u 1 , 1 u 1 , 1 u 1 , 1 + u 1 , 1 ) + O ( h 2 ) ,
3.4.28 2 u 0 , 0 = 1 h 2 ( u 1 , 0 + u 0 , 1 + u 1 , 0 + u 0 , 1 4 u 0 , 0 ) + O ( h 2 ) ,
9: 13.22 Zeros
13.22.1 ϕ r = j 2 μ , r 2 4 κ + j 2 μ , r O ( κ 3 2 ) ,
10: 19.12 Asymptotic Approximations
19.12.6 R C ( x , y ) = π 2 y x y ( 1 + O ( x y ) ) , x / y 0 ,
19.12.7 R C ( x , y ) = 1 2 x ( ( 1 + y 2 x ) ln ( 4 x y ) y 2 x ) ( 1 + O ( y 2 / x 2 ) ) , y / x 0 .