On Strongly Consistent Finite Dierence Approximations

Size: px
Start display at page:

Download "On Strongly Consistent Finite Dierence Approximations"

Transcription

1 D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 O Strogly Cosistet Fiite Dierece Approximatios Domiik Michels 1, Vladimir Gerdt 2, Dmitry Lyakhov 1, ad Yuri Blikov 3 1 Visual Computig Ceter Kig Abdullah Uiversity of Sciece ad Techology, Saudi Arabia 2 Laboratory of Iformatio Techologies Joit Istitute for Nuclear Research, Duba, Russia 3 Departmet of Mathematics ad Mechaics Saratov State Uiversity, Saratov, Russia PCA-2018, St. Petersburg, April 17, 2018

2 D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Cotets 1 Itroductio 2 Fiite Dierece Approximatios 3 Cosistecy Aalysis 4 Numerical Tests 5 Coclusios

3 Itroductio Numerical solvig PDEs Solvig PDEs i practice PDE(s) + IC(s) or/ad BC(s) Discretizatio (FDM, FEM, FVM) Algebraic (dierece) equatios Numerical solvig Approximate solutio I the ite dierece method (FDM) partial dieretial equatios (PDE(s)) are replaced with their ite dierece approximatio (FDA) o a grid with spacigs h := {h 1,..., h }. PDE(s) = FDA The iitial coditios (ICs) ad/or boudary coditios (BCs) are also discretized. The, together with FDA it gives a ite dierece scheme. D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

4 Itroductio D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Requiremets for FDA Covergece of a approximate solutio to a solutio to PDE(s) at h 0. Challege: d FDA whose solutios coverge to solutios to PDE(s). Such FDA must iherit at the discrete level all algebraic properties of PDE(s) such as coservatio laws, symmetries, maximum priciple, etc.). For polyomially oliear PDE(s) s(trog)-cosistecy of FDA (Gerdt'12). S-cosistecy FDA is s-cosistet with PDE(s) if ay dierece cosequece of FDA i the limit h 0 is reduced to a dieretial cosequece of PDE(s).

5 Itroductio D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Dieretial Thomas Decompositio Deitio Let S = ad S be ite sets of dieretial polyomials such that S = cotais equatios ( s S = ) [s = 0] whereas S cotais iequatios ( s S ) [s 0]. The the pair ( S =, S ) of sets S = ad S is called dieretial system. Let Sol (S = /S ) deote the solutio set of the system ( S =, S ), i.e. the set of commo solutios of dieretial equatios { s = 0 s S = } that do ot aihilate elemets s S. Theorem Ay dieretial system ( S =, S ) is decomposable ito a ite set of ivolutive dieretial subsystems (S = i, S i ) with a disjoit set of solutios: (S = /S ) = i (S = i /S i ), Sol (S = /S ) = i Sol (S = i /S i ). (1)

6 Itroductio Navier-Stokes PDE system By completig to ivolutio the Navier-Stokes system of equatios for usteady two-dimesioal motio of icompressible viscous liquid of costat viscosity ca be writte i the followig form f 1 := u x + v y = 0, f 2 := u t + uu x + vu y + p x 1 Re F := (u xx + u yy ) = 0, f 3 := v t + uv x + vv y + p y 1 Re (v xx + v yy ) = 0, f 4 := ux 2 + 2v x u y + vy 2 + p xx + p yy = 0. Here f 1 - the cotiuity equatio, f 2, f 3 - the proper Navier-Stokes equatios, f 4 - the pressure Poisso equatio which is the itegrability coditio for {f 1, f 2, f 3 }, (u, v) - the velocity eld, p - the pressure, Re - the Reyolds umber. D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

7 Itroductio D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Divergece form The ivolutive Navier-Stokes system admits coservatio law of the form P t I terms of {f 1, f 2, f 3, f 4 } this form reads Coservatio law form + Q x + R y = 0. f 1 : f 2 : f 3 : f 4 : x u + y v = 0, t u + ( x u 2 + p 1 Re u ) ( x + y vu 1 Re u y) = 0, t v + ( x uv 1 Re v ) ( x + y v 2 + p 1 Re v ) y = 0, x (uu x + vu y + p x ) + y (vv y + uv x + p y ) = 0.

8 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Computatioal mesh We use a orthogoal ad uiform computatioal grid as the set of poits (jh, kh, τ) R 3, τ > 0, h > 0, (j, k, ) Z 3. I a grid ode (jh, kh, τ) a solutio is approximated by the triple of grid fuctios {uj,k, vj,k, pj,k} := {u, v, p} x=jh,y=kh,t=τ. We itroduce diereces {σ x, σ y, σ t } actig o a grid fuctio φ(x, y, t) as σ x φ = φ(x + h, y, t), σ y φ = φ(x, y + h, t), σ t φ = φ(x, y, t + τ) ad deote by R the rig of dierece polyomials over K.

9 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Itegratio cotour To discretize NSS o the grid choose the itegratio cotour Γ i the (x, y) plae k + 2 k + 1 k j j + 1 j + 2

10 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 The Navie-Stokes system i itegral form Itegral coservatio law form vdx + udy = 0, Γ x j+2 x j x j+2 x j y k+2 y k y k+2 y k udxdy vdxdy t +1 t t +1 t t +1 t t +1 t ( Γ ( Γ ( vu 1 Re uy ) dx ( u 2 + p 1 Re ux ) dy ) dt = 0, ( v 2 + p 1 Re vy ) dx ( uv 1 Re vx ) dy ) dt = 0, ( ) ( ) (v 2 ) y + (uv) x + p y dx + (u 2 ) x + (vu) y + p x dy = 0. Γ

11 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Additioal relatios Now we add itegral relatios betwee depedet variables ad derivatives Exact itegral relatios x j+1 (u 2 ) xdx = u(x j+1, y) 2 u(x j, y) 2, (v 2 ) ydy = v(x, y k+1 ) 2 v(x, y k ) 2, x j y k x j+1 (uv) xdx = u(x j+1, y)v(x j+1, y) u(x j, y)v(x j, y), x j y k+1 (uv) ydy = u(x, y k+1 )v(x, y k+1 ) u(x, y k )v(x, y k ), y k x j+1 u xdx = u(x j+1, y) u(x j, y), x j x j+1 v xdx = v(x j+1, y) u(x j, y), x j x j+1 p xdx = p(x j+1, y) u(x j, y), x j y k+1 y k+1 u ydy = u(x, y k+1 ) u(x, y k ), y k y k+1 v ydy = v(x, y k+1 ) u(x, y k ), y k y k+1 p ydy = p(x, y k+1 ) u(x, y k ). y k

12 Fiite Dierece Approximatios Fiite dierece approximatio 1 By usig the midpoit itegratio approximatio for the itegrals over x ad y ad the top-left corer approximatio for itegratio over t. The elimiatio of partial derivatives from the obtaied dierece system gives the followig FDA with a 5 5 stecil (Gerdt,Blikov'2009) FDA 1 = e 1 j,k := u j+1,k u j 1,k e 2j,k := u+1 jk u jk 1 Re τ e 3j,k := v +1 jk v jk 1 Re + v j,k+1 v j,k 1 = 0, + u 2 j+1,k u 2 j 1,k + v j,k+1 u j,k+1 v j,k 1 u j,k 1 ( u ) j+2,k 2u jk +u j 2,k + u j,k+2 2u jk +u j,k 2 = 0, 4h 2 4h 2 τ + u j+1,k v j+1,k u j 1,k v j 1,k v j,k+1 2 v 2 j,k 1 ( v ) j+2,k 2v jk +v j 2,k + v j,k+2 2v jk +v j,k 2 = 0, 4h 2 4h 2 e 4j,k := u 2 j+2,k 2u 2 j,k +u 2 j 2,k + v 2 j,k+2 2v j,k 4h 2 4h 2 2 +v 2 j,k 2 + p j+1,k p j 1,k + p j,k+1 p j,k u j+1,k+1 v j+1,k+1 u j+1,k 1 v j+1,k 1 u j 1,k+1 v j 1,k+1 +u j 1,k 1 v j 1,k 1 4h 2 + p j,k+2 2p jk +p j,k 2 4h 2 = 0. + p j+2,k 2p jk +p j 2,k 4h 2 D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

13 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Fiite dierece approximatio 2 If oe applies the trapezoidal approximatio to the itegral relatios for u x, u y, v x, v y, u 2 ) x, (v 2 ) y ad p istead of the midpoit approximatio, the it produces FDA with a 3 3 stecil (Gerdt,Blikov'2009) FDA 2 = e 1 j,k := u j+1,k u j 1,k + v j,k+1 v j,k 1 = 0, e 2j,k := u+1 jk u jk τ + ujk u j+1,k u j 1,k + vjk u j,k+1 u j,k 1 + p j+1,k p j 1,k ( 1 u ) j+1,k 2u jk +u j 1,k Re + u j,k+1 2u jk +u j,k 1 = 0, h 2 h 2 e 3j,k := v +1 jk v jk e 4 j,k := 1 Re ( u + ujk v j+1,k v j 1,k + vjk v τ ( v j+1,k 2v jk +v j 1,k h 2 j+1,k u j 1,k + p j+1,k 2p jk +p j 1,k h 2 j,k+1 v j,k 1 + v j,k+1 2v jk +v j,k 1 h 2 ) = 0, ) 2 v + 2 j+1,k v j 1,k u j,k+1 u j,k p j,k+1 2p jk +p j,k 1 h 2 = 0 + p j,k+1 p j,k 1 ( v j,k+1 v ) 2 j,k 1

14 Fiite Dierece Approximatios D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Fiite dierece approximatio 3 The third approximatio with 3 3 stecil is obtaied from NSS by the covetioal discretizatio what cosists of replacig the temporal derivatives with the forward diereces ad the spatial derivatives with the cetral diereces. FDA 3 = e 1 j,k := u j+1,k u j 1,k + v j,k+1 v j,k 1 = 0, e 2j,k := u+1 jk u jk τ + ujk u j+1,k u j 1,k + vjk u j,k+1 u j,k 1 + p j+1,k p j 1,k ( 1 u ) j+1,k 2u jk +u j 1,k Re + u j,k+1 2u jk +u j,k 1 = 0, h 2 h 2 e 3j,k := v +1 jk v jk e 4 j,k := 1 Re ( u + ujk v j+1,k v j 1,k + vjk v τ ( v j+1,k 2v jk +v j 1,k h 2 j+1,k u j 1,k + p j+1,k 2p jk +p j 1,k h 2 j,k+1 v j,k 1 + v j,k+1 2v jk +v j,k 1 h 2 ) = 0, ) 2 v + 2 j+1,k v j 1,k u j,k+1 u j,k p j,k+1 2p jk +p j,k 1 h 2 = 0 + p j,k+1 p j,k 1 ( v j,k+1 v ) 2 j,k 1

15 Cosistecy Aalysis D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Dieretial ad dierece cosequeces A perfect dierece ideal F geerated by F R is the smallest dierece ideal cotaiig F ad such that for ay f R ad k 1, k 2, k 3 N 0 (σ x f ) k 1 (σ y f ) k 2 (σ t f ) k 3 F = f F. I dierece algebra, perfect ideals play the same role as radical ideals i commutative ad dieretial algebra. Set F R (NSS) geerates radical dieretial ideal F. Let a ite set of dierece polyomials f1 = = f p = 0, F := { f1,... f p } R be a FDA to F. Dieretial ad dierece cosequeces A dieretial (resp. dierece) polyomial f R (resp. f R) is dieretial-algebraic (resp. dierece-algebraic) cosequece of F (resp. F) if f F (resp. f F ).

16 Cosistecy Aalysis D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Covetioal (weak) cosistecy of FDA We shall say that a dierece equatio f = 0 implies (i the cotiuous limit) the dieretial equatio f = 0 ad write f f if f does ot cotai the grid spacigs h, τ ad the Taylor expasio about a grid poit (uj,k, v j,k, p j,k ) trasforms equatio f = 0 ito f + O(h, τ) = 0 where O(h, τ) deotes expressio which vaishes whe h ad τ go to zero. Deitio The dierece approximatio F is (weakly or w-)cosistet with F if p = 4 ad ( f F ) ( f F ) [ f f ]. The requiremet of w-cosistecy which has bee uiversally accepted i the literature, is ot satisfactory by the followig two reasos: 1 The cardiality of FDA to a system of dieretial equatios may be dieret from that i the system. 2 A w-cosistet FDA may ot be good i view of iheritace of properties of the uderlyig dieretial equatio(s) at the discrete level.

17 Cosistecy Aalysis D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Strog cosistecy Deitio A FDA to PDE(s) is strogly cosistet or s-cosistet if ( f F ) ( f [F ] ) [ f f ]. The algorithmic approach (Gerdt'12) to vericatio of s-cosistecy is based o the followig statemet. Theorem A dierece approximatio F R to F R is s-cosistet i a (reduced) stadard basis G of the dierece ideal [ F] satises ( g G ) ( f [F] ) [ g f ]. Give a dieretial polyomial f R, oe ca algorithmically check its membership i F by performig the ivolutive Jaet reductio.

18 Cosistecy Aalysis D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 S-cosistecy aalysis of FDA 1,2 ad 3 All three FDAs are w-cosistet. This ca be easily veried by the Taylor expasio of the ite diereces i the set F := {e 1 j,k, e 2 j,k, e 3 j,k, e 4 j,k } about the grid poit {hj, hk, τ} whe the grid spacigs h ad τ go to zero. Propositio Amog weakly cosistet FDAs 1,2, ad 3 oly FDA 1 is strogly cosistet. Corollary A stadard basis G of the dierece ideal geerated by the set of polyomials i FDA 1 satises the coditio ( g G ) ( f [F] ) [ g f ].

19 Numerical Tests D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Exact Solutio Suppose that the NSS is deed for t 0 i the square domai Ω = [0, π] [0, π] ad provide iitial coditios for t = 0 ad boudary coditios for t > 0 ad (x, y) Ω accordig to the exact solutio (Pearso'64) u := e 2t/Re cos(x) si(y), v := e 2t/Re si(x) cos(y), p := e 4t/Re (cos(2x) + cos(2y))/4. We compute the error by meas of formula: e g = max j,k gj,k N g(x j, y k, t f ). 1 + g(x j, y k, t f )

20 Numerical Tests Relative error i u, v ad p with FDA 1 for Re = x 10 5 x x y 0 0 x y 0 0 x 50 y 0 0 x Computed error with FDA 1 (u, v ad p, respectively): N = 40, tf = 1, Re = 102 ad m = 100 D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

21 Numerical Tests D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Numerical problem We simulate a Karma vortex street by solvig the Navier-Stokes system umerically over time usig the three above preseted FDAs. The relative error of the coguratio vector orm (p, u, v) is measured over time. The superior behavior of the s-cosistet FDAs compared to the s-icosistet FDA ca clearly be observed. Whereas FDA 2,3 performs slightly better tha FDA 1 for small t < 2 s, FDA 1 outperforms FDA 2,3 i the log term. As expected, stability ca be improved by icreasig spatial resolutio m. Sice i our experimets we are essetially iterested i comparig dieret discretizatios of u, v, ad p o the space domai, the value of the time step was always chose i order to provide stability. Usig Re = 220 we ca observed the characteristic repeatig patter of the swirlig vortices.

22 Numerical Tests D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Numerical problem We simulate a Karma vortex street by solvig the Navier-Stokes system umerically over time usig the three above preseted FDAs. The relative error of the coguratio vector orm (p, u, v) is measured over time. The superior behavior of the s-cosistet FDAs compared to the s-icosistet FDA ca clearly be observed. Whereas FDA 2,3 performs slightly better tha FDA 1 for small t < 2 s, FDA 1 outperforms FDA 2,3 i the log term. As expected, stability ca be improved by icreasig spatial resolutio m. Sice i our experimets we are essetially iterested i comparig dieret discretizatios of u, v, ad p o the space domai, the value of the time step was always chose i order to provide stability. Usig Re = 220 we ca observed the characteristic repeatig patter of the swirlig vortices.

23 Numerical Tests D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Numerical problem We simulate a Karma vortex street by solvig the Navier-Stokes system umerically over time usig the three above preseted FDAs. The relative error of the coguratio vector orm (p, u, v) is measured over time. The superior behavior of the s-cosistet FDAs compared to the s-icosistet FDA ca clearly be observed. Whereas FDA 2,3 performs slightly better tha FDA 1 for small t < 2 s, FDA 1 outperforms FDA 2,3 i the log term. As expected, stability ca be improved by icreasig spatial resolutio m. Sice i our experimets we are essetially iterested i comparig dieret discretizatios of u, v, ad p o the space domai, the value of the time step was always chose i order to provide stability. Usig Re = 220 we ca observed the characteristic repeatig patter of the swirlig vortices.

24 Numerical Tests D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25 Simulatio of the K arm a vortex street

25 Numerical Tests Simulatio of the K arm a vortex street 0-2 log(error) Time / s Ðèñ.: Temporal evolutio of the relative error of the K arm a vortex street simulatio usig dieret FDAs: FDA 1 (red curves), FDA 2 (gree curves), ad FDA 3 (blue curve). Moreover, dieret spatial resolutios are used: m = 250 (dotted curves), m = 500 (dashed curves), ad m = (solid curves). D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

26 Coclusios Coclusios Mai results obtaied We ivestigated s-cosistecy of three ite dierece approximatios to the Navier-Stokes equatios for usteady two-dimesioal motio of icompressible viscous liquid of costat viscosity. By usig algorithmic methods of dieretial ad dierece algebra we show that oe of the approximatios which is characterized by a 5 5 stecil is s-cosistet whereas the other two with a 3 3 stecil are ot. This result is at variace with uiversally accepted opiio that discretizatio with a more compact stecil is umerically favoured. Our computer experimetatio revealed much better umerical behavior of the s-cosistet approximatio i compariso with the cosidered s-icosistet oes. D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

27 Coclusios Ackowledgmets D.Michels et al. (KAUST,JINR,SSU) Strogly Cosistet Approximatios 17 April / 25

Streamfunction-Vorticity Formulation

Streamfunction-Vorticity Formulation Streamfuctio-Vorticity Formulatio A. Salih Departmet of Aerospace Egieerig Idia Istitute of Space Sciece ad Techology, Thiruvaathapuram March 2013 The streamfuctio-vorticity formulatio was amog the first

More information

Discrete Orthogonal Moment Features Using Chebyshev Polynomials

Discrete Orthogonal Moment Features Using Chebyshev Polynomials Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical

More information

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5! aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (

More information

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH Taylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. A ay poit i the eighbourhood of 0, the fuctio ƒ() ca be represeted by a power series of the followig form: X 0 f(a) f() f() ( ) f( ) ( )

More information

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods TMA4205 Numerical Liear Algebra The Poisso problem i R 2 : diagoalizatio methods September 3, 2007 c Eiar M Røquist Departmet of Mathematical Scieces NTNU, N-749 Trodheim, Norway All rights reserved A

More information

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE UPB Sci Bull, Series A, Vol 79, Iss, 207 ISSN 22-7027 NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE Gabriel Bercu We itroduce two ew sequeces of Euler-Mascheroi type which have fast covergece

More information

Accuracy. Computational Fluid Dynamics. Computational Fluid Dynamics. Computational Fluid Dynamics

Accuracy. Computational Fluid Dynamics. Computational Fluid Dynamics. Computational Fluid Dynamics http://www.d.edu/~gtryggva/cfd-course/ Computatioal Fluid Dyamics Lecture Jauary 3, 7 Grétar Tryggvaso It is clear that although the umerical solutio is qualitatively similar to the aalytical solutio,

More information

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods Itroductory lecture otes o Partial Differetial Equatios - c Athoy Peirce. Not to be copied, used, or revised without explicit writte permissio from the copyright ower. 1 Lecture 8: Solvig the Heat, Laplace

More information

PRELIM PROBLEM SOLUTIONS

PRELIM PROBLEM SOLUTIONS PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT

THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE ABSTRACT Europea Joural of Egieerig ad Techology Vol. 3 No., 5 ISSN 56-586 THE NUMERICAL SOLUTION OF THE NEWTONIAN FLUIDS FLOW DUE TO A STRETCHING CYLINDER BY SOR ITERATIVE PROCEDURE Atif Nazir, Tahir Mahmood ad

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Lecture 3 The Lebesgue Integral

Lecture 3 The Lebesgue Integral Lecture 3: The Lebesgue Itegral 1 of 14 Course: Theory of Probability I Term: Fall 2013 Istructor: Gorda Zitkovic Lecture 3 The Lebesgue Itegral The costructio of the itegral Uless expressly specified

More information

ON POINTWISE BINOMIAL APPROXIMATION

ON POINTWISE BINOMIAL APPROXIMATION Iteratioal Joural of Pure ad Applied Mathematics Volume 71 No. 1 2011, 57-66 ON POINTWISE BINOMIAL APPROXIMATION BY w-functions K. Teerapabolar 1, P. Wogkasem 2 Departmet of Mathematics Faculty of Sciece

More information

Analysis of composites with multiple rigid-line reinforcements by the BEM

Analysis of composites with multiple rigid-line reinforcements by the BEM Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100

More information

Math 257: Finite difference methods

Math 257: Finite difference methods Math 257: Fiite differece methods 1 Fiite Differeces Remember the defiitio of a derivative f f(x + ) f(x) (x) = lim 0 Also recall Taylor s formula: (1) f(x + ) = f(x) + f (x) + 2 f (x) + 3 f (3) (x) +...

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,

More information

Finite Dierence Schemes

Finite Dierence Schemes MATH-459 Numerical Methods for Coservatio Laws by Prof. Ja S. Hesthave Solutio set 2: Fiite Dierece Schemes Exercise 2. Cosistecy A method is cosistet if its local trucatio error T k satises T k (x, t)

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets

Numerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind WDS' Proceedigs of Cotributed Papers, Part I, 57 64, 2. ISBN 978-8-7378-39-2 MATFYZPRESS The Numerical Solutio of Sigular Fredholm Itegral Equatios of the Secod Kid J. Rak Charles Uiversity, Faculty of

More information

Distribution of Random Samples & Limit theorems

Distribution of Random Samples & Limit theorems STAT/MATH 395 A - PROBABILITY II UW Witer Quarter 2017 Néhémy Lim Distributio of Radom Samples & Limit theorems 1 Distributio of i.i.d. Samples Motivatig example. Assume that the goal of a study is to

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics ad Egieerig Lecture otes Sergei V. Shabaov Departmet of Mathematics, Uiversity of Florida, Gaiesville, FL 326 USA CHAPTER The theory of covergece. Numerical sequeces..

More information

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu

More information

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian?

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian? NBHM QUESTION 7 NBHM QUESTION 7 NBHM QUESTION 7 Sectio : Algebra Q Let G be a group of order Which of the followig coditios imply that G is abelia? 5 36 Q Which of the followig subgroups are ecesarily

More information

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS MIDTERM 3 CALCULUS MATH 300 FALL 08 Moday, December 3, 08 5:5 PM to 6:45 PM Name PRACTICE EXAM S Please aswer all of the questios, ad show your work. You must explai your aswers to get credit. You will

More information

LECTURE 8: ASYMPTOTICS I

LECTURE 8: ASYMPTOTICS I LECTURE 8: ASYMPTOTICS I We are iterested i the properties of estimators as. Cosider a sequece of radom variables {, X 1}. N. M. Kiefer, Corell Uiversity, Ecoomics 60 1 Defiitio: (Weak covergece) A sequece

More information

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

4. Partial Sums and the Central Limit Theorem

4. Partial Sums and the Central Limit Theorem 1 of 10 7/16/2009 6:05 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 4. Partial Sums ad the Cetral Limit Theorem The cetral limit theorem ad the law of large umbers are the two fudametal theorems

More information

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1 Assigmet : Real Numbers, Sequeces. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a upper boud of A for every N. 2. Let y (, ) ad x (, ). Evaluate

More information

Chapter 7 Isoperimetric problem

Chapter 7 Isoperimetric problem Chapter 7 Isoperimetric problem Recall that the isoperimetric problem (see the itroductio its coectio with ido s proble) is oe of the most classical problem of a shape optimizatio. It ca be formulated

More information

Computational Fluid Dynamics. Lecture 3

Computational Fluid Dynamics. Lecture 3 Computatioal Fluid Dyamics Lecture 3 Discretizatio Cotiued. A fourth order approximatio to f x ca be foud usig Taylor Series. ( + ) + ( + ) + + ( ) + ( ) = a f x x b f x x c f x d f x x e f x x f x 0 0

More information

Sequences and Limits

Sequences and Limits Chapter Sequeces ad Limits Let { a } be a sequece of real or complex umbers A ecessary ad sufficiet coditio for the sequece to coverge is that for ay ɛ > 0 there exists a iteger N > 0 such that a p a q

More information

ENGI Series Page 6-01

ENGI Series Page 6-01 ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,

More information

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set.

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set. M.A./M.Sc. (Mathematics) Etrace Examiatio 016-17 Max Time: hours Max Marks: 150 Istructios: There are 50 questios. Every questio has four choices of which exactly oe is correct. For correct aswer, 3 marks

More information

The Advection-Diffusion equation!

The Advection-Diffusion equation! ttp://www.d.edu/~gtryggva/cf-course/! Te Advectio-iffusio equatio! Grétar Tryggvaso! Sprig 3! Navier-Stokes equatios! Summary! u t + u u x + v u y = P ρ x + µ u + u ρ y Hyperbolic part! u x + v y = Elliptic

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall Iteratioal Mathematical Forum, Vol. 9, 04, o. 3, 465-475 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/imf.04.48 Similarity Solutios to Usteady Pseudoplastic Flow Near a Movig Wall W. Robi Egieerig

More information

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

More information

Information-based Feature Selection

Information-based Feature Selection Iformatio-based Feature Selectio Farza Faria, Abbas Kazeroui, Afshi Babveyh Email: {faria,abbask,afshib}@staford.edu 1 Itroductio Feature selectio is a topic of great iterest i applicatios dealig with

More information

ECONOMETRIC THEORY. MODULE XIII Lecture - 34 Asymptotic Theory and Stochastic Regressors

ECONOMETRIC THEORY. MODULE XIII Lecture - 34 Asymptotic Theory and Stochastic Regressors ECONOMETRIC THEORY MODULE XIII Lecture - 34 Asymptotic Theory ad Stochastic Regressors Dr. Shalabh Departmet of Mathematics ad Statistics Idia Istitute of Techology Kapur Asymptotic theory The asymptotic

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

1 lim. f(x) sin(nx)dx = 0. n sin(nx)dx

1 lim. f(x) sin(nx)dx = 0. n sin(nx)dx Problem A. Calculate ta(.) to 4 decimal places. Solutio: The power series for si(x)/ cos(x) is x + x 3 /3 + (2/5)x 5 +. Puttig x =. gives ta(.) =.3. Problem 2A. Let f : R R be a cotiuous fuctio. Show that

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

A Lattice Green Function Introduction. Abstract

A Lattice Green Function Introduction. Abstract August 5, 25 A Lattice Gree Fuctio Itroductio Stefa Hollos Exstrom Laboratories LLC, 662 Nelso Park Dr, Logmot, Colorado 853, USA Abstract We preset a itroductio to lattice Gree fuctios. Electroic address:

More information

j=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c)

j=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c) Problem. Compute the itegrals C r d for Z, where C r = ad r >. Recall that C r has the couter-clockwise orietatio. Solutio: We will use the idue Theorem to solve this oe. We could istead use other (perhaps

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

arxiv: v1 [math.fa] 3 Apr 2016

arxiv: v1 [math.fa] 3 Apr 2016 Aticommutator Norm Formula for Proectio Operators arxiv:164.699v1 math.fa] 3 Apr 16 Sam Walters Uiversity of Norther British Columbia ABSTRACT. We prove that for ay two proectio operators f, g o Hilbert

More information

Linear Elliptic PDE s Elliptic partial differential equations frequently arise out of conservation statements of the form

Linear Elliptic PDE s Elliptic partial differential equations frequently arise out of conservation statements of the form Liear Elliptic PDE s Elliptic partial differetial equatios frequetly arise out of coservatio statemets of the form B F d B Sdx B cotaied i bouded ope set U R. Here F, S deote respectively, the flux desity

More information

Numerical Solution of the First-Order Hyperbolic Partial Differential Equation with Point-Wise Advance

Numerical Solution of the First-Order Hyperbolic Partial Differential Equation with Point-Wise Advance Iteratioal oural of Sciece ad Research (ISR) ISSN (Olie): 39-74 Ide Copericus Value (3): 4 Impact Factor (3): 4438 Numerical Solutio of the First-Order Hyperbolic Partial Differetial Equatio with Poit-Wise

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013. Large Deviations for i.i.d. Random Variables

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013. Large Deviations for i.i.d. Random Variables MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013 Large Deviatios for i.i.d. Radom Variables Cotet. Cheroff boud usig expoetial momet geeratig fuctios. Properties of a momet

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Løsningsførslag i 4M

Løsningsførslag i 4M Norges tekisk aturviteskapelige uiversitet Istitutt for matematiske fag Side 1 av 6 Løsigsførslag i 4M Oppgave 1 a) A sketch of the graph of the give f o the iterval [ 3, 3) is as follows: The Fourier

More information

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Lecture 4 Conformal Mapping and Green s Theorem. 1. Let s try to solve the following problem by separation of variables

Lecture 4 Conformal Mapping and Green s Theorem. 1. Let s try to solve the following problem by separation of variables Lecture 4 Coformal Mappig ad Gree s Theorem Today s topics. Solvig electrostatic problems cotiued. Why separatio of variables does t always work 3. Coformal mappig 4. Gree s theorem The failure of separatio

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

Introduction to Optimization Techniques

Introduction to Optimization Techniques Itroductio to Optimizatio Techiques Basic Cocepts of Aalysis - Real Aalysis, Fuctioal Aalysis 1 Basic Cocepts of Aalysis Liear Vector Spaces Defiitio: A vector space X is a set of elemets called vectors

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS

NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS THERMAL SCIENCE, Year 07, Vol., No. 4, pp. 595-599 595 NUMERICAL METHOD FOR SINGULARLY PERTURBED DELAY PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS by Yula WANG *, Da TIAN, ad Zhiyua LI Departmet of Mathematics,

More information

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

More information

Explicit Group Methods in the Solution of the 2-D Convection-Diffusion Equations

Explicit Group Methods in the Solution of the 2-D Convection-Diffusion Equations Proceedigs of the World Cogress o Egieerig 00 Vol III WCE 00 Jue 0 - July 00 Lodo U.K. Explicit Group Methods i the Solutio of the -D Covectio-Diffusio Equatios a Kah Bee orhashidah Hj. M. Ali ad Choi-Hog

More information

MTH 246 TEST 3 April 4, 2014

MTH 246 TEST 3 April 4, 2014 MTH 26 TEST April, 20 (PLEASE PRINT YOUR NAME!!) Name:. (6 poits each) Evaluate lim! a for the give sequece fa g. (a) a = 2 2 5 2 5 (b) a = 2 7 2. (6 poits) Fid the sum of the telescopig series p p 2.

More information

Chapter 2 The Monte Carlo Method

Chapter 2 The Monte Carlo Method Chapter 2 The Mote Carlo Method The Mote Carlo Method stads for a broad class of computatioal algorithms that rely o radom sampligs. It is ofte used i physical ad mathematical problems ad is most useful

More information

Lecture 2: Monte Carlo Simulation

Lecture 2: Monte Carlo Simulation STAT/Q SCI 43: Itroductio to Resamplig ethods Sprig 27 Istructor: Ye-Chi Che Lecture 2: ote Carlo Simulatio 2 ote Carlo Itegratio Assume we wat to evaluate the followig itegratio: e x3 dx What ca we do?

More information

The Poisson Process *

The Poisson Process * OpeStax-CNX module: m11255 1 The Poisso Process * Do Johso This work is produced by OpeStax-CNX ad licesed uder the Creative Commos Attributio Licese 1.0 Some sigals have o waveform. Cosider the measuremet

More information

n 3 ln n n ln n is convergent by p-series for p = 2 > 1. n2 Therefore we can apply Limit Comparison Test to determine lutely convergent.

n 3 ln n n ln n is convergent by p-series for p = 2 > 1. n2 Therefore we can apply Limit Comparison Test to determine lutely convergent. 06 微甲 0-04 06-0 班期中考解答和評分標準. ( poits) Determie whether the series is absolutely coverget, coditioally coverget, or diverget. Please state the tests which you use. (a) ( poits) (b) ( poits) (c) ( poits)

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

(bilinearity), a(u, v) M u V v V (continuity), a(v, v) m v 2 V (coercivity).

(bilinearity), a(u, v) M u V v V (continuity), a(v, v) m v 2 V (coercivity). Precoditioed fiite elemets method Let V be a Hilbert space, (, ) V a ier product o V ad V the correspodig iduced orm. Let a be a coercive, cotiuous, biliear form o V, that is, a : V V R ad there exist

More information

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion Topics i Aalysis 3460:589 Summer 007 Itroductio Ree descartes - aalysis (breaig dow) ad sythesis Sciece as models of ature : explaatory, parsimoious, predictive Most predictios require umerical values,

More information

THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS

THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS R775 Philips Res. Repts 26,414-423, 1971' THE SYSTEMATIC AND THE RANDOM. ERRORS - DUE TO ELEMENT TOLERANCES OF ELECTRICAL NETWORKS by H. W. HANNEMAN Abstract Usig the law of propagatio of errors, approximated

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f

More information

MTH Assignment 1 : Real Numbers, Sequences

MTH Assignment 1 : Real Numbers, Sequences MTH -26 Assigmet : Real Numbers, Sequeces. Fid the supremum of the set { m m+ : N, m Z}. 2. Let A be a o-empty subset of R ad α R. Show that α = supa if ad oly if α is ot a upper boud of A but α + is a

More information

Math 220B Final Exam Solutions March 18, 2002

Math 220B Final Exam Solutions March 18, 2002 Math 0B Fial Exam Solutios March 18, 00 1. (1 poits) (a) (6 poits) Fid the Gree s fuctio for the tilted half-plae {(x 1, x ) R : x 1 + x > 0}. For x (x 1, x ), y (y 1, y ), express your Gree s fuctio G(x,

More information

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION Iteratioal Joural of Pure ad Applied Mathematics Volume 103 No 3 2015, 537-545 ISSN: 1311-8080 (prited versio); ISSN: 1314-3395 (o-lie versio) url: http://wwwijpameu doi: http://dxdoiorg/1012732/ijpamv103i314

More information

Generating Functions for Laguerre Type Polynomials. Group Theoretic method

Generating Functions for Laguerre Type Polynomials. Group Theoretic method It. Joural of Math. Aalysis, Vol. 4, 2010, o. 48, 257-266 Geeratig Fuctios for Laguerre Type Polyomials α of Two Variables L ( xy, ) by Usig Group Theoretic method Ajay K. Shula* ad Sriata K. Meher** *Departmet

More information

Exercise 4.3 Use the Continuity Theorem to prove the Cramér-Wold Theorem, Theorem. (1) φ a X(1).

Exercise 4.3 Use the Continuity Theorem to prove the Cramér-Wold Theorem, Theorem. (1) φ a X(1). Assigmet 7 Exercise 4.3 Use the Cotiuity Theorem to prove the Cramér-Wold Theorem, Theorem 4.12. Hit: a X d a X implies that φ a X (1) φ a X(1). Sketch of solutio: As we poited out i class, the oly tricky

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

Journal of Computational Physics 149, (1999) Article ID jcph , available online at

Journal of Computational Physics 149, (1999) Article ID jcph , available online at Joural of Computatioal Physics 149, 418 422 (1999) Article ID jcph.1998.6131, available olie at http://www.idealibrary.com o NOTE Defiig Wave Amplitude i Characteristic Boudary Coditios Key Words: Euler

More information

AP Calculus Chapter 9: Infinite Series

AP Calculus Chapter 9: Infinite Series AP Calculus Chapter 9: Ifiite Series 9. Sequeces a, a 2, a 3, a 4, a 5,... Sequece: A fuctio whose domai is the set of positive itegers = 2 3 4 a = a a 2 a 3 a 4 terms of the sequece Begi with the patter

More information

MATH 31B: MIDTERM 2 REVIEW

MATH 31B: MIDTERM 2 REVIEW MATH 3B: MIDTERM REVIEW JOE HUGHES. Evaluate x (x ) (x 3).. Partial Fractios Solutio: The umerator has degree less tha the deomiator, so we ca use partial fractios. Write x (x ) (x 3) = A x + A (x ) +

More information

Analysis of a Numerical Scheme An Example

Analysis of a Numerical Scheme An Example http://www.d.edu/~gtryggva/cfd-course/ Computatioal Fluid Dyamics Lecture 3 Jauary 5, 7 Aalysis of a Numerical Scheme A Example Grétar Tryggvaso Numerical Aalysis Example Use the leap-frog method (cetered

More information

Computation for Jacobi-Gauss Lobatto Quadrature Based on Derivative Relation

Computation for Jacobi-Gauss Lobatto Quadrature Based on Derivative Relation Computatio for acobi-auss obatto Quadrature Based o Derivative Relatio Z.S. Zheg uaghui Huag Abstract. The three-term recurrece relatio for derivatives of acobi-type polyomial is derived ad the auss-obatto

More information

Phys. 201 Mathematical Physics 1 Dr. Nidal M. Ershaidat Doc. 12

Phys. 201 Mathematical Physics 1 Dr. Nidal M. Ershaidat Doc. 12 Physics Departmet, Yarmouk Uiversity, Irbid Jorda Phys. Mathematical Physics Dr. Nidal M. Ershaidat Doc. Fourier Series Deiitio A Fourier series is a expasio o a periodic uctio (x) i terms o a iiite sum

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS MASSACHUSTTS INSTITUT OF TCHNOLOGY 6.436J/5.085J Fall 2008 Lecture 9 /7/2008 LAWS OF LARG NUMBRS II Cotets. The strog law of large umbers 2. The Cheroff boud TH STRONG LAW OF LARG NUMBRS While the weak

More information

Fluid Physics 8.292J/12.330J % (1)

Fluid Physics 8.292J/12.330J % (1) Fluid Physics 89J/133J Problem Set 5 Solutios 1 Cosider the flow of a Euler fluid i the x directio give by for y > d U = U y 1 d for y d U + y 1 d for y < This flow does ot vary i x or i z Determie the

More information

An efficient time integration method for extra-large eddy simulations

An efficient time integration method for extra-large eddy simulations A efficiet time itegratio method for extra-large eddy simulatios M.A. Scheibeler Departmet of Mathematics Master s Thesis A efficiet time itegratio method for extra-large eddy simulatios M.A. Scheibeler

More information

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD IRET: Iteratioal oural of Research i Egieerig ad Techology eissn: 39-63 pissn: 3-7308 A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD Satish

More information

Chapter 7: Numerical Series

Chapter 7: Numerical Series Chapter 7: Numerical Series Chapter 7 Overview: Sequeces ad Numerical Series I most texts, the topic of sequeces ad series appears, at first, to be a side topic. There are almost o derivatives or itegrals

More information