International Journal of Mathematical Archive-5(7), 2014, Available online through ISSN
|
|
- Όσιρις Δυοβουνιώτης
- 6 χρόνια πριν
- Προβολές:
Transcript
1 International Journal of atheatical Archive-5(7) Available online through wwwijainfo ISSN SOE NEW RELATIONSHIPS BETWEEN THE FRACTIONAL DERIVATIVES OF FIRST SECOND THIRD AND FOURTH CHEBYSHEV WAVELETS Saeer Qasi Hasan* and Dalia Raad Abd Departent of atheatics Collage of education Alustansiriyah University Iraq (Received On: 9-7-4; Revised & Accepted On: 5-7-4) ABSTRACT In this paper the shifted first second third and fourth kind Chevelets wavelets ΨΨ nn (tt) ΨΨ nnnn (tt) ΨΨ 3 nnnn (tt) and ΨΨ 4 nnnn (tt) properties are presented The ain ai is: Generalize the first second operational atrix to the fractional derivatives In this approach a truncated first second atrix of fractional derivatives are used Presented a new proposal forula expressing of fractional derivative α> operational atrix of shifted first kind Chybeshev wavelets D α ΨΨ nn (tt) inters of D α (x) (x) = [T (x) T (x) T n (x)] T and a forula expressing the fractional derivative α> of second kind Chebyshev wavelets D α ΨΨ nnnn (tt) inters of D φ(x) φ(x) = [U (x) U (x) U n (x)] T 3 Presented a new proposal forula expressing of fractional derivative α> operational atrix of shifted third and fourth kind Chybeshev wavelets D α ΨΨ 3 nnnn (tt) D α ΨΨ 4 nnnn (tt)inters of ΨΨ nnnn (tt) andψψ nnnn (tt) and a forula expressing of fractional derivative α> of first kind Chebyshev wavelets D α ΨΨ nn (tt)inters of ΨΨ nnnn (tt) and (tt) ΨΨ nnnn All the proposed results are of direct interest in any applications INTRODUCTION The Chebyshev polynoials are one of the ost useful polynoials which are suitable in nuerical analysis including polynoial approxiation integral and differential equations and spectral ethods for partial differential equations [4 9 7] One of the attractive concepts in the initial and boundary value probles is differentiation and integration of fractional order [ ] any researchers extend classical ethods in studies of differential and integral equations of integer order to fractional type of these probles [5 ] One of the wide classes of researches focuses to constructing the operational atrix of derivative in soe spectral ethods Recently a lot of attention has been devoted to construct operational atrix of fractional derivative[44]for exaple the fractional type first kind chebyshev polynoials are used to solving fractional diffusion equations[37] also are used to solve ulti-order fractional equation[] In this paper we use shifted chebyshev polynoials of first second third and fourth kind and recall soe iportant properties Next we used obtain the operational atrix of fractional derivative Wavelets theory is a relatively new eerging in atheatical research [5 6 3] It has been applied in a wide range of engineering disciplines particularly shifted first kind chebyshev wavelets play an iportant role in establishing algebraic ethods for the solution of ulti-order fractional differential equations [ ] and initial and boundary values probles of fractional order[3]new Spectral Second Kind Chebyshev Wavelets Algorith for Solving Linear and Nonlinear Second-Order Differential Equations[] Corresponding author: Saeer Qasi Hasan* Departent of atheatics Collage of education Alustansiriyah University Iraq International Journal of atheatical Archive- 5(7) July 4 8
2 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 PROPOSAL OPERATIONAL ATRIX OF CHEBYSHEV'S FRACTIONAL DERIVATIVE A It well know the first kind chebyshev polynoial T n (z) of degree n [] which defined on [-] by: T n (z) = Cos(n θ) where z= Cos(θ)θ [π] and can be deterined with the aid of the following recurrence forula: T n+ (z) = zt n (z) - T n- (z) n= 3 T (z) = T (z) =z The analytic for of chebyshev polynoial T n (x) of degree (n) is given by: n T n (z) = ( ) i z n-i n= () n-i- n(n i )! i= i!(n!)! and are orthogonal on [-] with respect to the weight function ω(t) = zz that is: π i = j = T i (z)t j (z) π dz = i = j z i j In order to use these polynoials on the interval [ ] we define the shifted chebyshev polynoials by introducing the change variable z=x- then T n (x) can be obtained as follows: T i+ (x) = (x-) T i (x) - T i (x) i= wheret (x)=t (x) =x- and the analytic for is T n (x) = with respect to the weight function ω(x)= xx xx that is: π i = j = T i (x)t j (x) x x π dddd = i = j i j n i= ( ) i n-i n(n i )! i!(n!)! x n-i n= 3 and are orthogonal The function u(x) square integrable in [ ] ay be expressed in the ter of shifted first kind chebyshev polynoial as: i= c i T i (xx) where the coefficients c i are given by c i = πσσ i uu(xx)t i (xx)dddd σσ i = ii = ii In practice only the first (+)-ters shifted first kind chebyshev polynoial are considered Then we have: u (xx) = c i T i (xx) = CC TT (xx) i= where the shifted first kind chebyshev coefficient vector C and the shifted first kind chebyshev vector (xx) are given by:cc TT = c (x) c (x) cc (x) (x) = [T (x) T (x) T (x)] T For the Caputo's derivative we have []: D α C = C is a constant Γ(n+) D α x n = Γ(n+ α) xn α n α for nϵn () n < α for nϵn for N = { } In the following theore we will define the fractional derivative of the vector (x) Theore : Let (x) be shifted first kind chebyshev vector defined as (x) = [T (x) T (x) T n (x)] T and also suppose α> then D α (x) = (α) (x) where (α) is (+) X (+) is an operational atrix of fractional derivative of order α> in the caputo sense and is defined as follows : 4 IJA All Rights Reserved 8
3 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 : α w () () () i w i w i = : n α () n α () n α () i= w n α i i= w n α i i= w n α i : () () w ii () i= i= w i i= w i and () is given by: w n α ji σσ j = j π k= ( )k+i j-k+n-i n(n i )!j(j k )! (n i α+j k+ ) i!(n!)! (n i α+)k!(j k)! (n i α+j k+) () w n α ji where n= α and σσ j = j = j Note that in α the first α rows are all zero Proof: Let T (x) be shifted first kind chebyshev polynoial then by using () and () we can find that: D α T n (x) = n < α and for n α D α T n (x) = n i= ( ) i n-i n(n i )! i!(n!)! Dα x n-i n α = i= ( ) i n-i n(n i )! i!(n!)! (n i α+) x n-i-α Now approxiate (x n-i-α ) by (+)-ters of shifted first kind chebyshev polynoial we have x n-i-α = j= d n ij T j (x) whered n ij = σσ j xn i α π x x T j (x) dx T j j (x) = k= ( ) k j-k j(j k )! k!(j k)! x j-k then d n ij = σσ j j π k= ( )k j-k j(j k )! xn i α +j k k!(j k)! x x = σσ j j π k= ( )k j-k j(j k )! (n i α+j k+ ) π k!(j k)! (n i α+j k+) where σσ j = j = j then n α i= j= n-i n(n i )!(n i)! n α () D α T n (x) = ( ) i = [ dx i!(n!)! (n i α+) d n ijt n (x) j= i= w nji ] T n (x) for n α n α () n α () n α = i= w n α i i= w n α i i= w n α i (x) for n α and D α T n (x) = [ ] (x) n < α B The second kind of degree (n) [6] which defined on the interval [ ] as: sin (n+)θ U n (z) = where z = cos θ θ nπ + kπ B sin θ These polynoials satisfy the following recurrence relation U (z) = U (z) = zz U n (z) = zu n (z) U n (z) n = 3 () For using this polynoials on interval () which called shifted chebyshev polynoials[6] by introducing the change variable (x ) and satisfy the following U n (x) = (4x )U n (x) U n (x) n = 3 where U (x) = U (x) = 4x 4 IJA All Rights Reserved 83
4 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 and the analytic for of shifted chebyshev polynoials u n (x) of degree (n) is given by U n (x) = n+ r= r ( ) n+ r (n+r)! r (n+ r)! r! x r (3) and are orthogonal with respect to the weight function ω(x)= xx xx that is: U (x) U n (x) π = n dx = 8 x x n The function f(x) square integrable in [ ] ay be expressed in the ter of shifted first kind chebyshev polynoial as: c i U i (xx) i= where the coefficients c i are given by c i = 8 ffff)t π i (xx)dddd In practice only the first (+)-ters shifted first kind chebyshev polynoial are considered Then we have: f (xx) = i= c i T i (xx) = CC TT φ(xx) where the shifted first kind chebyshev coefficient vector C and the shifted first kind chebyshev vector φ(xx) are given by:cc TT = c (x) c (x) cc (x) (x) = [U (x) U (x) U (x)] T In the following theore we will define the fractional derivative of the vector φ(x) Theore : Let φ(x) be shifted second kind chebyshev vector defined in φ(x) = [U (x) U (x) U n (x)] T also suppose > then D φ(x) = ( ) φ(x) where is the ( + ) ( + ) operational atrix of fractional derivative of order in the Caputo sense and defined as follows: = and () w n+ p r + () w + r n+ () w n+ r () w r p+ () w + r r= n+ () w n+ r () w r () w + r r= n+ () w n+ r () w r = 8 π r l( )n+p+ (l+r) (n + r)! (p + l)! (r )! (l+r) r +l + (n + r)! r! (r )(p + l)! l! (r +l + ) l= Note that in α the first α + rows are all zero Proof: Let UU (x) be shifted scondt kind chebyshev polynoial then by using () and (3) we can find that: D U n (x) = n and for (n = + ) we have D U n (x) = n+ r= r ( ) n+ r (n+r)! r (n+ r)! r! D x r = r n+ ( )n+ r (n+r)! r (r )! (n+ r)! r! (r ) xr 4 IJA All Rights Reserved 84
5 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 Now approxiate (x r ) by ( + )-ters of shifted second kind chebyshev series we have x r = p= d r p U p (x) xr d r p = 8 x x π U p (x) dx = 8 p+ l( ) p + l (p+l)! l π l= x x x r (p+ l)! l! = 8 p+ l( ) p + l (p+l)! l Γ r +l+ π π l= (p+ l)! l! Γ(r +l+) dx n+ (n D U + r)! r (r )! n (x) = r( ) n+ r d (n + r)! r! (r ) r p U n (x) p= n+ n+ () () = p= w n+ p r U n (x) n+ () n+ () = w n+ r w n+ r w n+ r φ(x) for n= + and D U n (x) = [ ]φ(x)n 3 PROPOSAL OPERATIONAL ATRIX OF CHEBYSHEVWAVELETS FRACTIONAL DERIVATIVE A This shifted first kind chebyshev wavelets Ψ n (t) = Ψ (kn t) have four arguents; k N n= k and n = n ; oreover is the order of the chebyshev polynoials of the first kind and t is the noralized tie and they are defined on the interval [) as []: kk ΨΨ nn (t) = TT ( kk tt nn ) nn kk oo ww TT = ππ where TT = TT ππ > t nn kk = - n = k- and nn = kk - the weight function ww = w(t ) and ww nn (t) = w( k t nn ) where w( k t nn ) = A function f(t) defined over [) y be expanded as follows f(t) = cc nn (t) where nn = = ΨΨ nn kk tt nn (kk tt nn ) cc nnnn = (f(t) ΨΨ nn (t) ) w = ww (tt) ff(tt) ΨΨ nn (t) dt and f(t) = nn = = cc nn where C = [ cc cc cc kk cc kk cc kk ]T ΨΨ nn (t) = c T ΨΨ nn (t) Thus ΨΨ nn (t) = [ΨΨ ΨΨ ΨΨ ΨΨ kk ΨΨ kk ΨΨ kk ]T Theore 3: Let ΨΨ nn (t) be shifted of first kind chebyshev vector and also suppose α > ) then D α ΨΨ nn (tt)(tt) = D α ( cc kk T ππ (( kk t - nn )) = ( ) ΨΨ nnnn (t) such that C = = > where is the (+)x(+) operational atrix derivative of order (α) in the caputo sense and is defined as follows: : ww = ii ww ii ww ii : αα αα αα ii= ww αα ii ii= ww αα ii ii= ww αα ii : ww ii ii= ii= ww ii ii= ww ii And ww αα jj ii is given by 4 IJA All Rights Reserved 85
6 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 ww αα jj ii = σσ j j π where σσ j = j = j k= ( )k+i (j+)-(k +i) Note that in α the first α rows are all zero Proof: DD TT ( kk t - nn ) = < αα and for ( αα ) DD TT ( kk t - nn ) = ii= ( ) ii -i ( ii )! ii!( ii)! αα = ii= ( ) ii -i ( ii )! ii!(nn ii)! ( i )!( i)!j(j k )! ( i α+j k+ ) i!( i)! ( i α+)k!(j k)! ( i α+k+) DD ( kk t - nn ) -i ( kk t - nn ) -i-α Now approxiate ( kk t - nn ) -i-α by (+) ters of shifted first kind chebyshev wavelet we have ( kk t - nn ) -i-α = jj = dd nn iijj TT jj ( kk t - nn ) dd iijj = σσ j ππ (kk tt nn ) nn ii αα TT jj ( kk tt nn ) dddd kk tt nn ( kk tt nn ) = σσ j jj ππ kk= ( )kk j-k jj (jj kk )! ( kk tt nn ) kk!(jj kk)! kk tt nn ( kk tt nn ) where σσ j = j = j then dd iijj = σσ j Therefore j π k= ( )k j-k j(j k )! ( i α+j k+ ) k!(j k)! ( i α+k+) dt D α T ( k t - n ) = ( ) i α i= j= -i ( i )!( i)! i!( i)! ( i α+) α j= i= ] T ( k t - n ) = [ w ji d ij T ( k t - n ) α α D α ΨΨ nn (t) = i= w α i i= w α i w α i and D α ΨΨ nn (t) = [ ] ΨΨ nn (t) for < α α i= ΨΨ nn (t) for α B Second kindchebyshev wavelets Ψ n (t) =Ψ (k n t) have four arguentsk n can assue any positive integer is the order of second kind chebyshev polynoials and t is the noralized tie They are defined on the interval [ ] by: [] k +3 Ψ n (t) = u π k t n t [ n n+ ] k k = n= kk - o w and w(t-) has to be dilated and translated as follows: ww nn ( kk t -nn) = ( kk tt nn) ( kk tt nn) and the function approxiation A function (tt) defined over [ ] ay be expanded in ters of second kind Chebyshevwavelets as f(t) = nn= = cc nnnn ΨΨ nnnn (t) cc nnnn = (f(t) ΨΨ nnnn (t)) = ww(tt) ff(tt) ΨΨ nnnn (tt) dt and (tt) = tt tt If the infinite series is truncated then (tt) can be approxiated as f(t) = kk nn= = cc nnnn ΨΨ nnnn (t) = cc TT ΨΨ nnnn (tt) where CC and Ψ(tt) are kk ( + ) atrices defined by 4 IJA All Rights Reserved 86
7 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 c = [ cc cc cc kk cc kk cc kk ]T ΨΨ nnnn (t) = [ΨΨ ΨΨ ΨΨ ΨΨ kk ΨΨ kk ΨΨ kk ] Theore 3: Let ΨΨ nnnn (tt) be second kind chebyshev wavelets and suppose α> then DD ΨΨ nnnn (tt) = ππ DD (uu ( kk t n) = ( ) ΨΨ nnnn (tt) where is (+) (+) operational atrix derivative of order in the caputo sense and defined as follow: = and + w + r + w + r w r w + p r = 8 w + r r= n+ w + r w r w + r r= n+ w + r w r rl( ) +p + (l+r) (rr )!(p+l)! (l+r) p+ Γ r +l+ π l= ( + rr)! rr! (rr αα(p+ l)! l! Γ(r +l+) Proof: Fro ( ) we have that UU ( kk + t n) = + rr ( +rr)! rr rr= rr ( ) ( + rr)! rr! (kk tt nn) rr Also we have that DD UU ( kk t n) = n and for (n = + ) we have DD UU ( kk t n) = + rr= rr + rr ( +rr)! rr ( ) ( + rr)! rr! DD ( kk tt nn) rr + = r ( ) + rr ( +rr)! rr (rr )! ( kk tt nn) rr αα ( + rr)! rr! (rr αα) Now approxiate ( kk tt nn) rr αα by (+) ter of shifted second kind chebyshev wavelets we have: ( kk tt nn) rr αα = pp= dd rr pp UU pp ( kk t n) dd rr pp = 8 ππ (kk tt nn) UU ( kk t n) ( kk tt nn) ( kk tt nn) dt = 8 pp+ l ( ) pp + l (pp+l)! l ππ l= ( kk tt nn) ( kk tt nn) ( kk tt nn)dddd (pp+ l)! l! (rr+l αα) = 8 pp+ l ( ) pp + l (pp+l)! l (rr αα+l+ ) ππ ππ l= (pp+ l)! l! (rr+l αα+) DD UU ( kk t n) = + r dd ( + rr)! rr! (rr αα) rr pp UU ( kk t n) + = p= w n+ p r UU ( kk t n) pp= ( ) + rr ( +rr)! rr (rr )! DD ΨΨ nnnn (t)= + w ππ p= n+ p r UU ( kk t n) thus + + D Ψ n (t)=[ w +r w +r w +r ]Ψ n (t) k +3 and D Ψ n (t) = D U ( k t n) = [ ] Ψ n (t) n π + 4 IJA All Rights Reserved 87
8 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 4 Operational atrices of Fractional Derivative Chebyshev wavelets The third and fourth kind chebyshev wavelets Ψ 3 n (t) = Ψ 4 n (t)=ψ(k n t) has four arguent k n N is the order of the polynoial V (t) or W (t) and t is the noralized tie they are defined explicitly on the interval [] as: [] kk+ kk+ 3 ΨΨ nnnn = vv ππ nn ( kk 4 t n ΨΨ nnnn = ww ππ nn ( kk t n) for t [ n n+ ] = n= k k k - and Ψ 3 4 n =Ψ n = otherwise and the weight function: w = (k t n) w ( k t n) = (k t n) ( k t n) A function nd the function f(t) defined over [] ay be expanded in ters of chebyshev wavelets as: n= = Ψ n f(t) = c n 34 (t) where c n = w f(t) Ψ 34 n (t) dt k n= = Ψ 34 n (t) f(t) = c n c = [c c c c k c k ]T Ψ 34 n (t) = [Ψ 34 Ψ Ψ k Ψ k Ψ k 34 Ψ k ] T 4 New Relation between Operational atrices of Fractional Derivative for ΨΨ nnnn kk+ ΨΨ nnnn (t) = ππ UU kk tt nn tt [ nn nn+ kk kk ww (t) and ΨΨ 33 nnnn (t) = n= kk - UU (t) = ππ UU (t) kk+ ΨΨ 3 nnnn (t) = VV kk tt nn tt [ nn nn+ ππ kk kk ] ww = n= kk - VV (t) = ππ VV (t) VV ( kk tt nn) = UU ( kk tt nn) - UU ( kk tt nn) ππ VV ( kk tt nn) = ππ UU ( kk tt nn) - ππ UU ( kk tt nn) VV kk tt nn = UU kk tt nn - UU kk tt nn VV ππ kk tt nn = UU ππ kk tt nn - ΨΨ 3 nnnn (t) = ΨΨ nnnn (t) - ΨΨ nnnn (t) Theore 4: Let ΨΨ nnnn 3 ππ UU kk tt nn (t) be third kind chebyshev vector and suppose (α >) then: + ( w + r w r ) DD ΨΨ 3 nnnn (t) = ππ DD (UU kk tt nn -UU kk tt nn ) = ΨΨ 3 nnnn (t) where is the (+)x(+) operational atrix derivative of order in the caputo sense and defined as follow 4 IJA All Rights Reserved 88
9 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 = where + ( w + r w + p r = 8 w p r = w + r ) ( w + r w r ) ( w r w r ) ππ l= + ( w + r + + w + r ) ( w + r w r ) ( w r w r ) rrl( )pp + + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) pp+ rr +l+ ( + rr)! rr! (rr )(pp+ l)! l! (rr+l +) pp+ + ( w + r + + w + r ( w + r w r ) ( w r w r ) ππ rr l( )pp+ + (l+rr) (rr )! ( + rr)! (pp + l)! (rr+l) rr +l + ( rr)! rr! (rr )(pp + l)! l! (rr + l +) l= Note that in α the first α + rows are all zero Proof: Frotheore() we have that DD UU kk tt nn = DD UU ( kk tt nn) 8 rrl( )pp + + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) + rr +l+ pp+ rr= αα + pp= ππ l= and ( + rr)! rr! (rr )(pp+ l)! l! (rr+l +) pp+ = 8 ππ rr l( )pp+ + (l+rr) (rr )! ( + rr)! (pp + l)! (rr+l) rr +l + ( rr)! rr! (rr )(pp + l)! l! (rr + l +) rr= αα + pp= l= Then DD UU kk tt nn DD UU kk tt nn = + rr= αα + pp= rr= αα + ( pp= w + p r ) UU ( kk tt nn) ( w p r )UU ( kk tt nn) ) Thus DD ΨΨ nnnn 3 (t)= + w ππ + p r p= w p r UU ( kk t n) then DD ΨΨ 3 nnnn (t)= [ ( + ww +rr + r w r ) ( r ww +rr + w r ) ( r ww +rr w r ]ΨΨ 3 nnnn (t) and DD ΨΨ 3 nnnn (tt) = ππ (DD UU ( kk tt nn) DD UU ( kk tt nn)) = [ ] Ψ n 3 (t) n 4 New Relation between Operational atrices of Fractional Derivative for ΨΨ nnnn Ψ nnnn (tt) = ππ UU ( kk tt nn) tt nn nn + kk oo ww = nn = kk kk (t) and ΨΨ 44 nnnn (t) 4 IJA All Rights Reserved 89
10 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 UU (tt) = ππ UU (tt) kk+ Ψ 4 nnnn (tt) = ππ WW ( kk tt nn) tt nn nn + kk oo ww = nn = kk WW (tt) = ππ WW (tt) kk WW ( kk tt nn) = UU ( kk tt nn) + UU ( kk tt nn) ππ WW ( kk tt nn) = ππ UU ( kk tt nn) + UU ( kk tt nn) WW ( kk tt nn) = UU ( kk tt nn) + UU ( kk tt nn) ππ WW ( kk tt nn) = ππ UU ( kk tt nn) + ππ UU ( kk tt nn) kk+ ππ WW ( kk tt nn) = Ψ nnnn (tt) Ψ nnnn (tt) Ψ 4 nnnn (tt) = Ψ nnnn (tt) Ψ nnnn (tt) Theore 4: Let φφ 4 nnnn (tt) be fourth kind chebyshev vector and suppose > Then: DD Ψ 4 nnnn (tt) = ππ DD UU ( kk tt nn) + UU ( kk tt nn) = ( ) Ψ 4 nnnn (tt) where ( ) is the ( + ) ( + ) operational atrix derivative of order in the Caputoense and defined as follow: ( ) = where + ( w + r + + w + r ) ( w + r w r ) w + p r = 8 w p r = 8 ( w r w r ) ππ l= pp+ + ( w + r + 4 IJA All Rights Reserved 9 + w + r ( w + r w r ) ( w r w r ) rrl( )pp + + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) pp+ rr +l+ ( + rr)! rr! (rr )(pp+ l)! l! (rr+l +) ) + ( w + r + + w + r ( w + r w r ) ( w r w r ) ππ rr l( )pp+ + (l+rr) (rr )! ( + rr)! (pp + l)! (rr+l) rr +l + ( rr)! rr! (rr )(pp + l)! l! (rr + l +) l= )
11 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 Note that in α the first α + rows are all zero 43 New Relation between Operational atrices of Fractional Derivative forψψ nnnn Ψ nnnn (tt) = ππ UU ( kk tt nn) tt nn nn + kk oo ww kk = nn = kk UU (tt) = ππ UU (tt) (tt) ΨΨ 33 nnnn (tt) aaaaaa ΨΨ 44 nnnn (tt) kk+ Ψ 3 nnnn (tt) = ππ VV ( kk tt nn) tt nn nn + kk oo ww kk = nn = kk VV (tt) = ππ VV (tt) kk+ Ψ 4 nnnn (tt) = ππ WW ( kk tt nn) tt nn nn + kk OO WW kk = nn = kk WW (tt) = ππ WW (tt) UU ( kk tt nn) = VV ( kk tt nn) + WW ( kk tt nn) ππ UU ( kk tt nn) = ππ VV ( kk tt nn) + ππ WW ( kk tt nn) ππ UU ( kk tt nn) = ππ VV ( kk tt nn) + ππ WW ( kk tt nn) kk+ ππ UU ( kk tt nn) = ππ VV ( kk tt nn) + ππ WW ( kk tt nn) Ψ nnnn (tt) = Ψ 3 nnnn (tt) + Ψ 4 nnnn (tt) kk+ Theore 43: Let Ψ nnnn (tt)ψ 3 nnnn (tt)andψ 4 nnnn (tt) are shifted second third and fourth kind chebyshev vector respectively and suppose > Then: kk+ DD Ψ nnnn (tt) = ( ) Ψ nnnn (tt) = ππ DD (vv ( kk tt nn) + ww ( kk tt nn)) = ( ( ) φφ 3 nnnn (tt) + ( ) Ψ 4 nnnn (tt)) where ( ) is the ( + ) ( + ) operational atrix derivative of order in the Caputo derivative 44 New Relation between Operational atrices of Fractional Derivative for ΨΨ nn kk Ψ nn (tt) = ππ TT ( kk tt nn ) tt nn kk nn kk oo ww where (tt) aaaaaa ΨΨ nnnn (tt) ππ TT (tt) = TT (tt) = ππ TT (tt) > 4 IJA All Rights Reserved 9
12 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 Ψ nnnn (tt) = ππ UU ( kk tt nn) tt nn nn + kk oo ww kk UU (tt) = ππ UU (tt) TT ( kk tt nn) = UU ( kk tt nn) + UU ( kk tt nn) = 3 ππ TT ( kk tt nn) = ππ UU ( kk tt nn) ππ UU ( kk tt nn) TT ( kk tt nn) = UU ( kk tt nn) + UU ( kk tt nn) ππ TT ( kk tt nn) = ππ UU ( kk tt nn) + ππ UU ( kk tt nn) cc = = 4 Ψ CC nn (tt) = Ψ nnnn (tt) Ψ nnnn (tt) = 3 Theore 44: Let ΨΨ nn (tt) be fourth kind chebyshev vector and suppose > Then: DD ΨΨ nn (t)(tt) = CC 4 ππ DD UU ( kk tt nn) + UU ( kk tt nn) = ( ) ΨΨ nnnn (tt) where ( ) is the ( + ) ( + ) operational atrix derivative of order in the Caputo sense and defined as follow: ( ) CC = 4 + ( w + r + + w + r ) ( w + r w r ) ( w r w r ) + ( w + r + + w + r ( w + r w r ) ( w r w r ) ) + ( w + r + + w + r ( w + r w r ) ( w r w r ) ) where w + p r = 8 ππ l= rrl( )pp + + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) pp+ rr +l+ ( + rr)! rr! (rr )(pp+ l)! l! (rr+l +) pp+ w p r = 8 ππ rr l( )pp+ (l+rr) (rr )! ( + rr)! (pp + l)! (rr+l) rr +l + ( rr)! rr! (rr )(pp + l)! l! (rr + l +) l= Note that in α the first α + rows are all zero 4 IJA All Rights Reserved 9
13 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 Proof: DD UU kk tt nn = DD UU kk tt nn = 8 rrl( )pp + + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) + rr +l+ pp+ rr= αα + pp= ππ l= and ( + rr)! rr! (rr )(pp+ l)! l! (rr+l +) rr= αα + 8 rrl( )pp + (l+rr) (rr )! ( +rr)!(pp+l)! (rr+l) rr +l+ pp+ pp= ππ l= ( rr)! rr! (rr )(pp+ l)! l! (rr+l +) Then DD UU kk tt nn DD UU kk tt nn = + ( pp= w + p r ) UU ( kk tt nn) ( w p r )UU ( kk tt nn) Thus rr= αα + pp= rr= αα + DD ΨΨ nn (t)= CC + w 4 ππ + p r p= w p r UU ( kk t n) then + DD ΨΨ nn (t)= CC [ ( ww 4 +rr r w r ) ( r ww +rr + w r ) ( r ww +rr w r ]ΨΨ nnnn (t) and DD ΨΨ nn (tt) = CC 4 ππ (DD UU kk tt nn DD UU kk tt nn ) = CC [ ] Ψ 4 n (t) n REFERENCES [] Abd-Elhaeed W Doha E H and Youssri Y H "New Wavelets Collocation ethod for Solving Second- Order ultipoint Boundary Value probles Using Chebyshev Polynoials of Third and Fourth Kinds" Hindawi Publishing Corporation Abstract and Applied Analysis Vol 3 Article ID pages [] Abd-Elhaeed W Doha E H and Youssri Y H "New Spectral Second Kind Chebyshev Wavelets Algorithfor Solving Linear and Nonlinear Second- Order Differential Equations Involving Singular and Bratu Type Equations" Hindawi Publishing Corporation Abstract and Applied Analysis Vol 3 Article ID pages [3] Azizi H Loghani G B "Nuerical Approxiation For space Fractional Diffusion equations Via Chebyshev Finite Difference ethod" Journal of Fractional Calculus and Applications vol 4() July 3 pp 33-3 [4] BhrawyAHAlofi AS "The operational atrix of fractional integration for shifted Chebyshev polynoials" Applied atheatics Letters 6(3) 5-3 [5] Biazar J Ebrahii H "A Strong ethod for Solving Syste of Integro-Differential Equations "Applied atheatical Vol() 5-3 [6] ChiK& Liu "A Wavelet approach to fast approxiation of power Electronics circuits" International Jornal of Circuit theory and Applications 3(3) 59-6 [7] Darani A Nasiri A fractional type of the Chebyshev polynoials for approxiation of solution of linear fractional differential equations" Vol No 3 pp 96-7 [8] Diethel K "The analysis of fractional differential equations" Berlin: Springer-Verlag [9] Doha E H Bhrawy AH Ezz-Eldien SS "A Chebyshev spectral ethod based on operational atrix for initial and boundary value probles of fractional order" Coput ath Appl 6() [] Fox Lslie and Ian Bax Parker "Chebyshev Polynoials in Nuerical Analysis" Oxford university press London vol [] Jie WLiu "Application of Wavelet Transfor to steady-state Approxiation of power electronics Wavefors" Departent of Electronic Hong Kong polytechnic University (3) [] Heydari HHooshandasl R aalekghaini F and ohaadi F "Wavelet Collocation ethod for Solving ultiorder Fractional Differential Equations" Hindawipuplishing Corporation journal of applied atheatics vol /Article ID IJA All Rights Reserved 93
14 and Fourth Chebyshev Wavelets / IJA- 5(7) July-4 [3] KazeiNasab Kilican A pashazadehatabakan Z and Abbasbandy S "Chebyshev Wavelet Finit Difference ethod: A New Approach for Solving Initial and Boundary Value Proble of Fractional Order" Hindawi Publishing Corporation Abstract and Applied Analysis vol 3 Article ID pages [4] Lakestani Dehghan Irandoust-pakchin S "The construction of operational atrix of fractional derivatives using B-spline functions" Coun Nonlinear Sci Nuer Siulat 7 () 49-6 [5] Li X "Nuerical solution of fractional differential equations using cubic spline wavelet collocation ethod Coun Nonlinear Sci Nuer Siulat 7() [6] iller KS Ross B "An Introduction to the Fractional calculus and Fractional Differential Equations" Wiley New York 993 [7] NkwantaA and Barnes ER "Two Catalan-type Riordan arrays and their connections to the Chebyshev polynoials of the first kind" Jornal of Integer Sequences 5()-9 [8] Oldha KBSpanier J The Fractional Calculus" Acadeic press New York 974 [9] Podlubny I Fractional Differential Equations" Acadeic Press San Diego 999 [] Saadatandi A Dehghan "A new operational atrix for solving fractional- order differential equations" Coput ath Appl 59 () [] Saadatandi A Dehghan zizi R The Sine-Legendre collocatio n ethod for a class of fractional convection-diffusion equations with variable coefficients Coun Nonliner Sci Nuer Siulat 7() [] Seifollahi Shaloo A S "Nuerical Solution of Nonlinear ulti-order Fractional Differential EQUATIONS BY Operational atrix of Chebyshev Polynoials" World Applied Prograing Vol(3) Issue(3) arch [3] Sohrabi S "Coparison Chebyshev Wavelets ethod with BPFs ethod For Solving Abel's Integral equation" in Shas Engineering Journal Vol () Source of support: Nil Conflict of interest: None Declared [Copy right 4 This is an Open Access article distributed under the ters of the International Journal of atheatical Archive (IJA) which perits unrestricted use distribution and reproduction in any ediu provided the original work is properly cited] 4 IJA All Rights Reserved 94
Section 8.3 Trigonometric Equations
99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.
Congruence Classes of Invertible Matrices of Order 3 over F 2
International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and
D Alembert s Solution to the Wave Equation
D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique
CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS
CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =
Chapter 6: Systems of Linear Differential. be continuous functions on the interval
Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations
SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018
Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals
Matrices and Determinants
Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z
Second Order Partial Differential Equations
Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y
Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.
Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action
2 Composition. Invertible Mappings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,
Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics
Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)
Chapter 6: Systems of Linear Differential. be continuous functions on the interval
Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations
Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.
Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given
Example Sheet 3 Solutions
Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note
CE 530 Molecular Simulation
C 53 olecular Siulation Lecture Histogra Reweighting ethods David. Kofke Departent of Cheical ngineering SUNY uffalo kofke@eng.buffalo.edu Histogra Reweighting ethod to cobine results taken at different
Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1
Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the
Homework 8 Model Solution Section
MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx
EE512: Error Control Coding
EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
SPECIAL FUNCTIONS and POLYNOMIALS
SPECIAL FUNCTIONS and POLYNOMIALS Gerard t Hooft Stefan Nobbenhuis Institute for Theoretical Physics Utrecht University, Leuvenlaan 4 3584 CC Utrecht, the Netherlands and Spinoza Institute Postbox 8.195
Partial Differential Equations in Biology The boundary element method. March 26, 2013
The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet
3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β
3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle
4.6 Autoregressive Moving Average Model ARMA(1,1)
84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this
k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +
Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b
Second Order RLC Filters
ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor
Section 7.6 Double and Half Angle Formulas
09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)
The k-α-exponential Function
Int Journal of Math Analysis, Vol 7, 213, no 11, 535-542 The --Exponential Function Luciano L Luque and Rubén A Cerutti Faculty of Exact Sciences National University of Nordeste Av Libertad 554 34 Corrientes,
ST5224: Advanced Statistical Theory II
ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known
Srednicki Chapter 55
Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
What happens when two or more waves overlap in a certain region of space at the same time?
Wave Superposition What happens when two or more waves overlap in a certain region of space at the same time? To find the resulting wave according to the principle of superposition we should sum the fields
On the Galois Group of Linear Difference-Differential Equations
On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts
6.3 Forecasting ARMA processes
122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear
PARTIAL NOTES for 6.1 Trigonometric Identities
PARTIAL NOTES for 6.1 Trigonometric Identities tanθ = sinθ cosθ cotθ = cosθ sinθ BASIC IDENTITIES cscθ = 1 sinθ secθ = 1 cosθ cotθ = 1 tanθ PYTHAGOREAN IDENTITIES sin θ + cos θ =1 tan θ +1= sec θ 1 + cot
DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation
DiracDelta Notations Traditional name Dirac delta function Traditional notation x Mathematica StandardForm notation DiracDeltax Primary definition 4.03.02.000.0 x Π lim ε ; x ε0 x 2 2 ε Specific values
Homomorphism in Intuitionistic Fuzzy Automata
International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic
Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee
Appendi to On the stability of a compressible aisymmetric rotating flow in a pipe By Z. Rusak & J. H. Lee Journal of Fluid Mechanics, vol. 5 4, pp. 5 4 This material has not been copy-edited or typeset
derivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
Solutions to Exercise Sheet 5
Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X
C.S. 430 Assignment 6, Sample Solutions
C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order
2. Μηχανικό Μαύρο Κουτί: κύλινδρος με μια μπάλα μέσα σε αυτόν.
Experiental Copetition: 14 July 011 Proble Page 1 of. Μηχανικό Μαύρο Κουτί: κύλινδρος με μια μπάλα μέσα σε αυτόν. Ένα μικρό σωματίδιο μάζας (μπάλα) βρίσκεται σε σταθερή απόσταση z από το πάνω μέρος ενός
Finite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.
EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.
Palestine Journal of Mathematics Vol. 2(1) (2013), Palestine Polytechnic University-PPU 2013
Palestine Journal of Matheatics Vol. ( (03, 86 99 Palestine Polytechnic University-PPU 03 On Subclasses of Multivalent Functions Defined by a Multiplier Operator Involving the Koatu Integral Operator Ajad
DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.
DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec
Numerical Analysis FMN011
Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all
Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------
Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin
A Laplace Type Problem for a Lattice with Cell Composed by Three Triangles with Obstacles
Applied Matheatical Sciences Vol. 11 017 no. 6 65-7 HIKARI Ltd www.-hikari.co https://doi.org/10.1988/as.017.6195 A Laplace Type Proble for a Lattice with Cell Coposed by Three Triangles with Obstacles
Fractional Colorings and Zykov Products of graphs
Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is
GMRES(m) , GMRES, , GMRES(m), Look-Back GMRES(m). Ax = b, A C n n, x, b C n (1) Krylov.
211 9 12, GMRES,.,., Look-Back.,, Ax = b, A C n n, x, b C n (1),., Krylov., GMRES [5],.,., Look-Back [3]., 2 Krylov,. 3, Look-Back, 4. 5. 1 Algorith 1 The GMRES ethod 1: Choose the initial guess x and
Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)
Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts
CRASH COURSE IN PRECALCULUS
CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter
HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
Tridiagonal matrices. Gérard MEURANT. October, 2008
Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,
Bessel functions. ν + 1 ; 1 = 0 for k = 0, 1, 2,..., n 1. Γ( n + k + 1) = ( 1) n J n (z). Γ(n + k + 1) k!
Bessel functions The Bessel function J ν (z of the first kind of order ν is defined by J ν (z ( (z/ν ν Γ(ν + F ν + ; z 4 ( k k ( Γ(ν + k + k! For ν this is a solution of the Bessel differential equation
Lecture 26: Circular domains
Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without eplicit written permission from the copyright owner. 1 Lecture 6: Circular domains
( ) 2 and compare to M.
Problems and Solutions for Section 4.2 4.9 through 4.33) 4.9 Calculate the square root of the matrix 3!0 M!0 8 Hint: Let M / 2 a!b ; calculate M / 2!b c ) 2 and compare to M. Solution: Given: 3!0 M!0 8
Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013
Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering
Parametrized Surfaces
Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some
Solution Series 9. i=1 x i and i=1 x i.
Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x
forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with
Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We
Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.
Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +
A summation formula ramified with hypergeometric function and involving recurrence relation
South Asian Journal of Mathematics 017, Vol. 7 ( 1): 1 4 www.sajm-online.com ISSN 51-151 RESEARCH ARTICLE A summation formula ramified with hypergeometric function and involving recurrence relation Salahuddin
Homework 3 Solutions
Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For
Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1
Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test
A Note on Intuitionistic Fuzzy. Equivalence Relation
International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com
ECE Spring Prof. David R. Jackson ECE Dept. Notes 2
ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =
Reminders: linear functions
Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U
Takeaki Yamazaki (Toyo Univ.) 山崎丈明 ( 東洋大学 ) Oct. 24, RIMS
Takeaki Yamazaki (Toyo Univ.) 山崎丈明 ( 東洋大学 ) Oct. 24, 2017 @ RIMS Contents Introduction Generalized Karcher equation Ando-Hiai inequalities Problem Introduction PP: The set of all positive definite operators
Other Test Constructions: Likelihood Ratio & Bayes Tests
Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :
Math221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics
A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions
1 String with massive end-points
1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε
Approximation of distance between locations on earth given by latitude and longitude
Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that
CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD
CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.
On the k-bessel Functions
International Mathematical Forum, Vol. 7, 01, no. 38, 1851-1857 On the k-bessel Functions Ruben Alejandro Cerutti Faculty of Exact Sciences National University of Nordeste. Avda. Libertad 5540 (3400) Corrientes,
If we restrict the domain of y = sin x to [ π, π ], the restrict function. y = sin x, π 2 x π 2
Chapter 3. Analytic Trigonometry 3.1 The inverse sine, cosine, and tangent functions 1. Review: Inverse function (1) f 1 (f(x)) = x for every x in the domain of f and f(f 1 (x)) = x for every x in the
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max
6.1. Dirac Equation. Hamiltonian. Dirac Eq.
6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2
b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!
MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.
Concrete Mathematics Exercises from 30 September 2016
Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)
If we restrict the domain of y = sin x to [ π 2, π 2
Chapter 3. Analytic Trigonometry 3.1 The inverse sine, cosine, and tangent functions 1. Review: Inverse function (1) f 1 (f(x)) = x for every x in the domain of f and f(f 1 (x)) = x for every x in the
CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS
CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS EXERCISE 01 Page 545 1. Use matrices to solve: 3x + 4y x + 5y + 7 3x + 4y x + 5y 7 Hence, 3 4 x 0 5 y 7 The inverse of 3 4 5 is: 1 5 4 1 5 4 15 8 3
Every set of first-order formulas is equivalent to an independent set
Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent
Statistical Inference I Locally most powerful tests
Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided
Trigonometry 1.TRIGONOMETRIC RATIOS
Trigonometry.TRIGONOMETRIC RATIOS. If a ray OP makes an angle with the positive direction of X-axis then y x i) Sin ii) cos r r iii) tan x y (x 0) iv) cot y x (y 0) y P v) sec x r (x 0) vi) cosec y r (y
Uniform Convergence of Fourier Series Michael Taylor
Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula
, Litrrow. Maxwell. Helmholtz Fredholm, . 40 Maystre [4 ], Goray [5 ], Kleemann [6 ] PACC: 4210, 4110H
57 6 2008 6 100023290Π2008Π57 (06) Π3486208 ACTA PHYSICA SINICA Vol. 57,No. 6,June,2008 ν 2008 Chin. Phys. Soc. 3 1) 2) 1) g 1) (, 130033) 2) (, 100049) (2007 9 11 ;2007 11 14 ),Littrow,,.,., Litrrow.
Additional Results for the Pareto/NBD Model
Additional Results for the Pareto/NBD Model Peter S. Fader www.petefader.com Bruce G. S. Hardie www.brucehardie.com January 24 Abstract This note derives expressions for i) the raw moments of the posterior
A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering
Electronic Companion A Two-Sie Laplace Inversion Algorithm with Computable Error Bouns an Its Applications in Financial Engineering Ning Cai, S. G. Kou, Zongjian Liu HKUST an Columbia University Appenix
Testing for Indeterminacy: An Application to U.S. Monetary Policy. Technical Appendix
Testing for Indeterminacy: An Application to U.S. Monetary Policy Technical Appendix Thomas A. Lubik Department of Economics Johns Hopkins University Frank Schorfheide Department of Economics University
ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?
Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least
The Spiral of Theodorus, Numerical Analysis, and Special Functions
Theo p. / The Spiral of Theodorus, Numerical Analysis, and Special Functions Walter Gautschi wxg@cs.purdue.edu Purdue University Theo p. 2/ Theodorus of ca. 46 399 B.C. Theo p. 3/ spiral of Theodorus 6
Strain gauge and rosettes
Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified
Geodesic Equations for the Wormhole Metric
Geodesic Equations for the Wormhole Metric Dr R Herman Physics & Physical Oceanography, UNCW February 14, 2018 The Wormhole Metric Morris and Thorne wormhole metric: [M S Morris, K S Thorne, Wormholes
MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS
MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS FUMIE NAKAOKA AND NOBUYUKI ODA Received 20 December 2005; Revised 28 May 2006; Accepted 6 August 2006 Some properties of minimal closed sets and maximal closed
Trigonometric Formula Sheet
Trigonometric Formula Sheet Definition of the Trig Functions Right Triangle Definition Assume that: 0 < θ < or 0 < θ < 90 Unit Circle Definition Assume θ can be any angle. y x, y hypotenuse opposite θ