UNIT I FOURIER SERIES T

Size: px
Start display at page:

Download "UNIT I FOURIER SERIES T"

Transcription

1 UNIT I FOURIER SERIES PROBLEM : Th urig mom T o h crkh o m gi i giv or ri o vu o h crk g dgr T Epd T i ri o i. Souio: L T = i + i + i +, Sic h ir d vu o T r rpd gc o T T i T i T i To = [m vu o T i ] = [ 59.7 ] = = [m vu o T i ] = [ ] = = [m vu o T i ] = = i i PROBLEM : Az hrmoic h giv ow d pr i Fourir ri upo h hird hrmoic.

2 Souio: Sic h vu o i rpiio o h ir, o h i vu wi ud. Th gh o h irv i. L = + co + i + co + i + co + i + co i co i co i = [m vu o ] = =.9 = [m vu o co] = 6 [ ] = -.7 = [m vu o i] = 6 [ ] =.7 = [m vu o co]

3 = 6 [ ] = -. = [m vu o i] = 6 [ ] = -.6 = [m vu o co] = 6 [ ] =. = [m vu o i] = Hc = co +.7 i. co +.6 i +. co. PROBLEM : Fid h Fourir ri pio or h ucio = i i < < d dduc h SOLUTION: Th Fourir ri i co i... Giv = i = d = i d = [ - co -- i] = - = -

4 = cod = i cod = [ i i ]d [ SiACoB SiA B SiA B] co co i i co co = [ ] [ ] [ ] - = whr = co d = i co d = i d co i = co = [ - = - co [ = i d

5 = i i d = [co co ]d [ SiASiB CoA B CoA B] i i co co = co co co co = = = whr = = = = = i d i i d i d co d co d i co = [ ] =

6 Suiu i, w g = co co i Dducio Pr: Pu [ i poi o coiui] [= i poi o coiui] = i = i = co co - + = co + = co = co - - = = [...] [ ] [ ]

7 Prom: Souio: Giv = Fid h Fourir ri or = i Thi i v ucio. = i i - < < = Co... = d = Si d = i d = [ co ] = - co co = - [ ] [--] = = cod = Si cod = i cod = [i i ] d co co = [ ]

8 co co = [ ] = [ ] = [ ] = [ ] = = = [ ] [ ] [ ] [ ] = i. = co d = Si co d = i co d = i d co = [ ] = [ ] = Suiu i quio, w g [ ] = co

9 Hc = Prom:5 [ ] co Epd = Souio: co i Fourir ri i h irv -, Giv = co. Thi i v ucio, = = Co... = d = = = = co d / [ co d cod] / / [ co d co d] / [i / i / ] = [ ] = = cod = co cod

10 / = [ co cod co cod] / / = co cod co cod / / = [co co ]d [co co ]d - / = i i i i [ ] [ ] / / Hc i / i / i / i / = [ ] [ ] i / i / = [ ] i / / i / / = [ ] co co = [ ] = co [ ] = co [ ] = co [ ] = co [ ] = [ ] i i v = i i odd [ ] = co

11 Comp Form o Fourir ri: Prom 6: Fid h comp orm o h Fourir ri o h ucio = wh - < < d + =. Souio: W kow h = C C = = i i i = i = i i d d i d i = i i = [ ] i i i = [ ] i i i co ii co ii i i = [ ] i = [ ] i

12 i C = ih = i ih i i.., ih = i i Prom7: Fid h comp orm o h Fourir ri o = Co i -, whr i ihr zro or igr. Souio: Hr c = or c =. W kow h = C C = i i i d = Co d = [ i i co i ] i i = [ i co i i co i i i i i = [i co i ] = [i co ii i co ] C = i

13 Hc com Co = i i Prom8: Fid h comp orm o h Fourir ri o = - i - Souio: W kow h = C C = d i = d i = d = = = = = i i [ ] i i i i i co ii co ii i i = i i = ih Hc com - = i i ih

14 UNIT- FOURIER TRANSFORMS. Fid h Fourir rorm o, i So: Th Fourir rorm o h ucio F B Prv idi F d. Dduc h i F co ii d i d co d i co d co d d d d d d d d d i d i d.

15 .Show h h Fourir rorm o ; ; i i co. Hc dduc h co i d. So: Th Fourir rorm o h ucio i d F i. Giv i d ohrwi. co i i co i co i co i co i co F d d i d d i d F i B ivr Fourir rorm d F i

16 i co i d i co co i i d i co co d i i co co d Pu &, w g i co d i. Rpc, w g i co d i co d i co i d.fid h Fourir rorm o ; i ; i. Hc dduc h i d d i d. So: Giv Th Fourir rorm o h ucio i d ohrwi. i F i d.

17 co co co i co i co i co F d d i d d i d F i B ivr Fourir rorm d F i co co i co co co i co co co d d i d d i d i Pu, w g. i. co d i d L, h d d

18 i i d d B Prv idi d d F co d d co d d co d d co d d co d i co d d L, h d d i i i d d d.fid h Fourir rorm o. Hc prov h i rciproc. So:

19 Th Fourir rorm o h ucio i d F i. d d d d d F i i i i i Pu i, h d d F d Pu, h F F i rciproc wih rpc o Fourir rorm.

20 5. Fid Fourir i d coi rorm o FC d hc prov h So: W kow h Pu i, i co ii d cod i i d d d i i i cod i i d cod i i d cod i i d cod i i d co ii co ii co ii co i i Equig R d imgir pr, w g co d co i d i

21 S C F F d d i co i i co co Pu i h ov ru, w g C c o F C co F C C F F Thror i rciproc wih rpc o Fourir coi rorm. 5. Fid Fourir i rorm d Fourir coi rorm o,. Hc vu d d d. So: Th Fourir i rorm o h ucio i i d F S.

22 i d F S Th Fourir coi rorm o h ucio i co d F C. co d F C B prv idi d d F S d d d d d d d d d d Rpc, w g d L d g B prv idi d g d g F F C S

23 .. d d i d d d d d d Rpc, w g d 6. Vri Prv horm o Fourir rorm or h ucio ; ;. So: B Prv horm d F d Giv ; ; i d d d F i i i i

24 i F i i i i i i i i F i i L. H. S. o d d d R. H. S. o d d d i d i d i d F

25 d F L. H. S o = R. H. S o Hc Prv horm vriid. 7. Sov or rom h igr quio co d. So: co d d co Ivr Fourir coi rorm i i.co co d

26 UNIT- PARTIAL DIFFERENTIAL EQUATIONS Prom o Lgrg quio. Sov p q z Souio: p q z Thi i o h orm Pp + Qq = R Hr P, Q, R z Suidir quio r d d dz P Q R d d dz z Groupig h ir wo mmr Igrig d d d d d d c c u Groupig h ohr wo mmr

27 d dz z Igrig z z z z c c v z Th gr ouio o i u,v =, z. Oi h gr ouio o pz + qz =. Souio: Giv pz + qz = Thi i o h orm Pp + Qq = R Hr P = z, Q= z, R = Suidir quio r d d dz P Q R d d dz z z Groupig h ir wo mmr d d z z Igrig

28 d d og og og og og u Groupig h ohr wo mmr d dz z d dz z d dz z d z dz rom Igrig z c z c z c. z z v z Th gr ouio i u,v =, z

29 . Sov z p z q z Souio: Giv z p z q z Thi i o h orm Pp + Qq = R Hr P z, Q z, R z Suidir quio r d d dz P Q R d d dz z z z Choo h o muipir,,z d z d z dz z z d d z dz z z d d z dz d d z dz Igrig w g z c z c u z coidr ohr o muipir Ech mmr o,, z

30 Igrig w g d d z d z d d dz z dz z d dz z og + og + og z = og ogz = og z = v = z Th gr ouio i u,v = z, z. Sov z p z q z Souio: Giv z p z q z Thi i o h orm Pp + Qq = R Hr P z, Q z, R z Suidir quio r d d dz P Q R d d dz z z z Ech o

31 d d d d z d d z z z z z z d d z d z i.., z z z z z d d z d z i.., z z Groupig h mmr d d z z Igrig w g Choo muipir,, z og og z og c og og c z c z u z d d z dz Ech o z z Choo ohr o muipir,, d d z dz Ech o z z z

32 d d z dz d d z dz z z z z z d d z dz d d z dz i.., z z z z z z z d d z dz d d dz z z d z d d z dz Igrig w g z z z z z z z z c v z z Th grouio i, z z. z 5. Sov mz p + z q = m Souio: Giv mz p + z q = m Thi i o h orm Pp + Qq = R Hr P = mz, Q = z, R = m Th Suidir quio r d d dz P Q R d d dz m z z m Choo o muipir,,z Ech o d d z dz m z z z m d d z dz d d z dz Igrig w g + + z = v = + + z

33 Choo o muipir, m, Ech o d m d dz m z m z m d m d dz d m d dz Igrig w g m z v m z Th gr ouio i u,v = z, m z Equio rduci o drd p: Tp V: Equio o h orm m p, q = or m p, q, z = whr m d r co Thi p o quio c rducd o Tp I or Tp III h oowig rormio. C i : I m, Pu m = X, = Y z z X m z p m P, whr P X X m i.., p m P z z Y z q Q, whr Q Y Y i.., q Q m m Th quio p, q rduc o m P, Q which i Tp I q. Th quio p, q,z rduc o m P, Q,z which i Tp III q. C ii : I m =, = h p, q = or p, q, z =

34 Pu og = X, og = Y. z z X z z p P, whr P X X X i.., p P z z Y z z q Q, whr Q Y Y Y i.., q Q Th quio p, q = rduc o P, Q = which Tp I q. Th quio p, q, z = rduc o P, Q, z = which Tp III q. Tp VI : Equio o h orm z k p, z q = or z k p, q,, = Whr k i co, Thi c rducd o Tp I or Tp IV quio h oowig uiuio. C i : I k Pu Z = z k + Z Z z k P k z p z k P z p k Z Z z k Q k z q z k Q z q k k k P Q Th quio z p, z q rduc o, which i Tp I q. k k k k P Q Th quio z p, z q,, rduc o,,, which i Tp IV q.. k k

35 C ii : I k = p q p q, or,,, z z z z pu z og z z Z z P p. z z p P z z Z z Q q. z z q Q z p q Th q, rduc o Tp Iq. z z p q Th q,,, rduc o Tp IV q. z z Z Z z k P k z p z k P z p k Z Z z k Q k z q z k Q z q k k k P Q Th quio z p, z q rduc o, which i Tp I q. k k k k P Q Th quio z p, z q,, rduc o,,, which i Tp IV q.. k k

36 H r m,. Pu X m X = Y og X Y z z p q z X z Y X Y p P q Q p P q Q

37 Rduc o P Q z Thi i o h orm p, q, z which i TpIII q. L z X Y ri Souio. z u u X Y u u, P z z Q X Y z u z u u X u Y P z z Q u u r d u c o d z d z z d u d u d z z d u d z d u d z z d u d z d u z z.

38 Igrig dz du z og z u c ogz X Y c og ogz c X, Y og which i h comp i gr. Sov z p q Souio : Giv z p q z p z q k k Thi i o h orm z p, z q,, Tp VI Hr k Pu Z z Z z

39 P Z z Q Z z Z z z z P z p Q z q z p P Q z q Eq rduc o P Q i.., P Q Thi i o Sdrd Tp IV, p, q L P Q c P c Q c P c Q c P c Q c P c Q c W kow Z Z dz d d Z dz P d Q d P, Q dz c d c d Z

40 dz c d c d c c Z c ih c coh C C z c c ih c ccoh Z z C C Emp:.Form h p d imiig h rirr ucio rom h rio z = + Souio: Giv z = Diriig pri w. r.. d,

41 z ' p., z ' q. p q p q p q i h rquird pri diri quio..form h p d imiig h rirr ucio d g rom h rio z = +c + g -c. Souio : Giv z = +c + g -c D i r i i g p r i w i h r p c o z ' c g ' c, A g i d i r i i g p r i w i h r p c o z " c g " c

42 D i r i i g p r i w i h r p c o z c ' i c g ' i, A g i d i r i i g p r i w i h r p c o z c " i c g " i z c z z UNIT-IV Appicio o Pri Diri Equio. A igh rchd rig wih id d poi d i iii i poiio giv, i. I i rd rom r rom hi poiio. Fid h dipcm im ''. So: O dimio wv quio Th codiio r i, ii, iii, iv, i Th corrc ouio which iig h giv oudr codiio i, c co p c i p c co p c i p

43 App h oudr codiio i i, c c co p c i p wg c, h quio com, c i p c co p c i p App h oudr codiio ii i, c i p c co p c i p wg i p Th quio com p p, c i c co c i Diri Pri w.r.o, c i c i c co App h oudr codiio iii i wg c, c i c, h quio com, c i c co c i co B h uprpoiio pricip, h mo gr ouio i, c App h oudr codiio iv i 5 whr c c c i co

44 , c c i c i. i c i i i i c i... i i c, c, c, c c5... Th quio 5 com, i co i co. A igh rchd rig o gh h i d d d. Th midpoi o h rig i h k o high h d h rd rom r i h poiio. Oi prio or h dipcm o h rig uqu im. So: O dimio wv quio i Th codiio r i, ii, iii, iv, Y, h,,, X

45 Coidr h irv,, h d poi r,,, h Uig wo poi ormu or h righ i h h Coidr h irv,, h d poi r,,, h Agi wo poi ormu or h righ i h h h, h, h Th corrc ouio which iig h giv oudr codiio i, c co p c i p c co p c i p App h oudr codiio i i, c c co p c i p wg c, h quio com, c i p c co p c i p App h oudr codiio ii i, c i p c co p c i p wg i p p p, h quio com, c i c co c i Diri Pri w. r. o

46 , c i c i c co App h oudr codiio iii i W g c, c i c h quio com, c i c co c i co B h uprpoiio pricip, h mo gr ouio i, c i co App h oudr codiio iv i 5, c h, i. h, whr c c c To id h vu o c, pd i h rg Fourir i ri W kow h h rg Fourir i ri o i 5 i 7 B comprig 6 d 7, w g c To id c i i ough o id i d h i d h i d

47 c h h h h i 8 i 8 i co i co i co i co Th quio 5 com co i i 8, h. Th poi o ricio o rig r pud id hrough dic o oppoi id o h poiio o quiirium d h rig i rd rom r. Fid prio or h dipcm. So: O dimio wv quio i Th codiio r i, ii, iii, iv,

48 Equio o OA: i, Equio o AB: i, Equio o BC: i, i, i, i, Th corrc ouio which iig h giv oudr codiio i, c co p c i p c co p c i p App h oudr codiio i i, c c co p c i p wg c, h quio com, c i p c co p c i p App h oudr codiio ii i, c i p c co p c i p wg i p p p, h quio com, c i c co c i Diri Pri w. r. o

49 , c i c i c co App h oudr codiio iii i W g c, c i c h quio com, c i c co c i co B h uprpoiio pricip, h mo gr ouio i, c i co App h oudr codiio iv i 5, c whr c c c i, i. i, i, To id h vu o c, pd i h rg Fourir i ri W kow h h rg Fourir i ri o i i 7 B comprig 6 d 7, w g c To id c i i ough o id i d i d i d i d

50 8 i 6 i i odd i i i v Suiu vu i quio 5 w g h rquird ouio 6, i i co,. A igh rchd rig wih id d poi d i iii r i i quiirium poiio. I i i virig givig ch poi voci k. Fid h dipcm o h rig im. So: O dimio wv quio Th codiio r i, ii, iii, iv, k Th corrc ouio which iig h giv oudr codiio i, c co p c i p c co p c i p pp h oudr codiio i i, c c co p c i p wg c h quio com, c i p c co p c i p App h oudr codiio ii i wg i p, c i p c co p c i p p h quio com p,

51 , c i c co c i App h oudr codiio iii i hr c h quio com, c i c, c i c i c i i B h uprpoiio pricip, h mo gr ouio i, c Diri Pri w.r.o, c whr c c c i i i co App h oudr codiio iv i 5, c i. k To id h vu o c, pd i h rg Fourir i ri W kow h h rg Fourir i ri o i i B comprig 6 d 7, w g c c

52 .. co. co i co i i k k d k d odd i i k v i i k k k k c Th quio com,,5 i i 8, k. A rod o gh h i d A d B kp c d c rpciv ui d codiio prvi. I h mprur B i rducd o c d o whi h o A i miid, id h mprur diriuio o h rod. So: O dimio h quio u u Sd quio i u d h d ouio i u -- Th oudr codiio r u ii u i App i i, u

53 Th quio com u App ii i u Th quio com u Now coidr h ud codiio. Th codiio r iii u, iv u, v u, Th corrc ouio which iig h giv oudr codiio i p u, c co p c i p c App h oudr codiio iii i u, c wg c p c h quio com u App h oudr codiio iv i 5 p u, c i p c wg i p p Th quio 5 com p, c i pc p, u, cc i c i whr B h upr poiio pricip, h mo gr ouio i c c c u, c i App h oudr codiio v i

54 u, c i To id c, pd i h rg i ri W kow h h rg Fourir i ri o i i From h quio 7 & 8 w g Now c i d i d co i co Th rquird ouio i u, i 5. Th d A d B o rod cm og hv hir mprur kp c d8 c, ui d codiio prvi. Th mprur o h d B i udd rducd o 6 c d h o A i icrd o c. Fid h mprur diriuio i h rod r im. So: u u O dimio h quio -----

55 u Sd quio i d h d ouio i u -- h oudr codiio r i u ii u 8 App i i, u Th h quio com u App ii i u 8 5 Th h quio com 5 u Now coidr h ud codiio. I ud h ui ouio which iig h giv oudr codiio i p u, c co p c i p c Th oudr codiio r 5 iii u, iv u, 6 v u, u Sic w hv o zro oudr codiio, w wri h mprur diriuio ucio u, u u, 5 To id u u, u, u Th ouio i u 6 Th oudr codiio r u 6, u, u u 6 6

56 h quio 6 com u 7 To id, u Giv h oudr codiio r i vi u vii u, u, u, u, u viii u, u, u I ud, h ui ouio which iig h giv oudr codiio u, c co p c i p c p App h oudr codiio vi i 8 8 u, c c p hr c h quio 8 com u App h oudr codiio vii i 9 p, c i pc 9 hr p u, cc i p i p p h quio 9 com u, c i c u, cc c i i B h upr poiio pricip, h mo gr ouio i whr c c c

57 i, c u App h oudr codiio viii i. i, c u To id c, pd i h rg i ri W kow h h rg Fourir i ri o i i From h quio & w g c. co i co i i d d c h quio com i, u Th h rquird mprur diriuio ucio i i, u

58 6. A rcgur p i oudd h i,,,,. I urc r iud. Th mprur og d r kp C d h ohr C. Fid h d mprur poi o h p. So: u u Two dimio h quio i L h gh o h qur p Giv h oudr codiio r i u, ii u, iii u, iv u, Aum h mprur diriuio u, u, u, To id u, Coidr h oudr codiio v u, vi u, vii u, viii u, Th ui ouio which iig h giv oudr codiio i A p p u, c c c co p c i p App h oudr codiio v i u, c c c co p c i p wg c c c c h h quio com u, c c p p c p p c c co p c co p c App h oudr codiio vi i i p i p p p u, c c wg c h h quio com

59 u p p, c c i p App h oudr codiio vii i p p u, c c i p wg i p p h h quio com p u, c c i c c ih i c ih i Th mo gr ouio i u whr c cc, c ih i App h oudr codiio viii i u, c ih i 5 To id c, pd i h rg i ri W kow h h rg Fourir i ri o i i From h quio 5 & 6 w g c ih c ih 6

60 c i d i d co co i i v i i odd ih h h quio 6 com u,,,5 To id u, i i odd ih i ih Coidr h oudr codiio i u, u, i u, ii u, d h ui ouio i hi c i u p p, c co p c i p c c 7 App h oudr codiio i i 7 p p u, c5 c6 c8 wg c 5 h h quio 8 com u p p, c i p c c 8

61 App h oudr codiio i 8 u, c6 i p c7 c8 wg c7 c8 c8 c7 h h quio 9 com u, c c 6 6 i p c c 7 7 i p p p c 7 p p App h oudr codiio i i 9 9 p p u, c6c7 i p wg i p p h h quio com p u, c6 c7 i c6 c7 ih i c ih i Th mo gr ouio i u whr c c6c7, c ih i App h oudr codiio ii i u, c ih i To id c, pd i h rg i ri H rg Fourir i ri o i i From h quio & w g

62 c c ih ih d d co i i odd i i v i i co c ih i i odd h h quio com u i ih ih,,,5 Th h quio A com u u u i ih ih i ih ih,,,,,5,,5

63

www.vidrhipu.com TRANSFORMS & PDE MA65 Quio Bk wih Awr UNIT I PARTIAL DIFFERENTIAL EQUATIONS PART-A. Oi pri diffri quio imiig rirr co d from z A.U M/Ju Souio: Giv z ----- Diff Pri w.r. d p > - p/ q > q/

More information

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

x, x, e are not periodic. Properties of periodic function: 1. For any integer n, Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DEFNTE NTEGRATON EXERCSE - CHECK YOUR GRASP. ( ) d [ ] d [ ] d d ƒ( ) ƒ '( ) [ ] [ ] 8 5. ( cos )( c)d 8 ( cos )( c)d + 8 ( cos )( c) d 8 ( cos )( c) d sic + cos 8 is lwys posiiv f() d ( > ) ms f() is

More information

TWO MARKS WITH ANSWER

TWO MARKS WITH ANSWER TWO MARKS WITH ANSWER MA65/TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS REGULATION: UNIT I PARTIAL DIFFERENTIAL EQUATIONS Formtio o rti dirti utio Sigur itgr -- Soutio o tdrd t o irt ordr rti dirti utio

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

Right Angle Trigonometry

Right Angle Trigonometry Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

Department of Electronics & Telecommunication Engineering C.V.Raman College of Engineering

Department of Electronics & Telecommunication Engineering C.V.Raman College of Engineering Lcur No Lcur-6-9 Ar rdig his lsso, you will lr ou Fourir sris xpsio rigoomric d xpoil Propris o Fourir Sris Rspos o lir sysm Normlizd powr i Fourir xpsio Powr spcrl dsiy Ec o rsr ucio o PSD. FOURIER SERIES

More information

UNIT VIII INVERSE LAPLACE TRANSFORMS. is called as the inverse Laplace transform of f and is written as ). Here

UNIT VIII INVERSE LAPLACE TRANSFORMS. is called as the inverse Laplace transform of f and is written as ). Here UNIT VIII INVERSE APACE TRANSFORMS Sppo } { h i clld h ivr plc rorm o d i wri } {. Hr do h ivr plc rorm. Th ivr plc rorm giv blow ollow oc rom h rl o plc rorm, did rlir. i co 6 ih 7 coh 8...,,! 9! b b

More information

Chapter 3 Linear Equations of Higher Order (Page # 144)

Chapter 3 Linear Equations of Higher Order (Page # 144) Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod

More information

AsymetricBladeDiverterValve

AsymetricBladeDiverterValve D DIVRR VV DRD FR: WO-WYGRVIYFOW DIVRRFORPOWDR, P,ORGRR RI D DIVRRVV ymetricalladedivertervalve OPIO FR: symetricladedivertervalve (4) - HRDD ROD,.88-9 X 2.12 G., PD HOW (8)- P DI. HR HO R V -.56 DI HR

More information

S.E. Sem. III [EXTC] Applied Mathematics - III

S.E. Sem. III [EXTC] Applied Mathematics - III S.E. Sem. III [EXTC] Applied Mhemic - III Time : 3 Hr.] Prelim Pper Soluio [Mrk : 8 Q.() Fid Lplce rform of e 3 co. [5] A.: L{co }, L{ co } d ( ) d () L{ co } y F.S.T. 3 ( 3) Le co 3 Q.() Prove h : f (

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012 AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr

More information

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No.

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No. Dpm o Mhmics Bi Isi o Tchoog Ms Rchi MA Advcd gg. Mhmics Sssio: 7---- MODUL IV Toi Sh No. --. Rdc h oowig i homogos dii qios io h Sm Liovi om: i. ii. iii. iv. Fid h ig-vs d ig-cios o h oowig Sm Liovi bod

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Analyticity and Operation Transform on Generalized Fractional Hartley Transform

Analyticity and Operation Transform on Generalized Fractional Hartley Transform I Jourl of Mh Alyi, Vol, 008, o 0, 977-986 Alyiciy d Oprio Trform o Grlizd Frciol rly Trform *P K So d A S Guddh * VPM Collg of Egirig d Tchology, Amrvi-44460 (MS), Idi Gov Vidrbh Iiu of cic d umii, Amrvi-444604

More information

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3 The Cumulive Disribuio Fucio (cd) ONE RANDOM VARIABLE cd is deied s he probbiliy o he eve { x}: F ( ) [ ] x P x x - Applies o discree s well s coiuous RV. Exmple: hree osses o coi x 8 3 x 8 8 F 3 3 7 x

More information

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11, Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

FOURIER ANALYSIS Signals and System Analysis

FOURIER ANALYSIS Signals and System Analysis FOURIER ANALYSIS Isc Nwo Whi ligh cosiss of sv compos J Bpis Josph Fourir Bor: Mrch 768 i Auxrr, Bourgog, Frc Did: 6 My 83 i Pris, Frc Fourir Sris A priodic sigl of priod T sisfis ft f for ll f f for ll

More information

1. Introduction and notations.

1. Introduction and notations. Alyi Ar om plii orml or q o ory mr Rol Gro Lyé olyl Roièr, r i lir ill, B 5 837 Tolo Fr Emil : rolgro@orgr W y hr q o ory mr, o ll h o ory polyomil o gi rm om orhogol or h mr Th mi rl i orml mig plii h

More information

EE415/515 Fundamentals of Semiconductor Devices Fall 2012

EE415/515 Fundamentals of Semiconductor Devices Fall 2012 3 EE4555 Fudmls of Smicoducor vics Fll cur 8: PN ucio iod hr 8 Forwrd & rvrs bis Moriy crrir diffusio Brrir lowrd blcd by iffusio rducd iffusio icrsd mioriy crrir drif rif hcd 3 EE 4555. E. Morris 3 3

More information

Inverse Thermoelastic Problem of Semi-Infinite Circular Beam

Inverse Thermoelastic Problem of Semi-Infinite Circular Beam iol oul o L choloy i Eii M & Alid Scic LEMAS Volu V u Fbuy 8 SSN 78-54 v holic Pobl o Si-ii Cicul B Shlu D Bi M. S. Wbh d N. W. Khobd 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi

More information

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio

More information

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage?

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage? Bu Mb Nx Gi Cud-f img, hwig Eh ufc i u c, hv b cd + Bhymy d Tpgphy fm y f mhy d. G d p, bw i xpd d ufc, bu i c, whi i w. Ocb 2004. Wh fm f w c yu idify Eh ufc? Why wud h c ufc hv high iiy i m, d w iiy

More information

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times. 2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics F.Y. Diplom : Sem. II [CE/CR/CS] Applied Mhemics Prelim Quesio Pper Soluio Q. Aemp y FIVE of he followig : [0] Q. () Defie Eve d odd fucios. [] As.: A fucio f() is sid o e eve fucio if f() f() A fucio

More information

Vtusolution.in FOURIER SERIES. Dr.A.T.Eswara Professor and Head Department of Mathematics P.E.S.College of Engineering Mandya

Vtusolution.in FOURIER SERIES. Dr.A.T.Eswara Professor and Head Department of Mathematics P.E.S.College of Engineering Mandya LECTURE NOTES OF ENGINEERING MATHEMATICS III Su Cod: MAT) Vtusoutio.i COURSE CONTENT ) Numric Aysis ) Fourir Sris ) Fourir Trsforms & Z-trsforms ) Prti Diffrti Equtios 5) Lir Agr 6) Ccuus of Vritios Tt

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Signals & Systems - Chapter 3

Signals & Systems - Chapter 3 .EgrCS.cm, i Sigls d Sysms pg 9 Sigls & Sysms - Chpr S. Ciuus-im pridic sigl is rl vlud d hs fudml prid 8. h zr Furir sris cfficis r -, - *. Eprss i h m. cs A φ Slui: 8cs cs 8 8si cs si cs Eulrs Apply

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

15. Numerical Methods

15. Numerical Methods S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

BMM3553 Mechanical Vibrations

BMM3553 Mechanical Vibrations BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy

More information

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k = wwwskshieduciocom BINOMIAL HEOREM OBJEIVE PROBLEMS he coefficies of, i e esio of k e equl he k /7 If e coefficie of, d ems i e i AP, e e vlue of is he coefficies i e,, 7 ems i e esio of e i AP he 7 7 em

More information

Approximately Inner Two-parameter C0

Approximately Inner Two-parameter C0 urli Jourl of ic d pplid Scic, 5(9: 0-6, 0 ISSN 99-878 pproximly Ir Two-prmr C0 -group of Tor Produc of C -lgr R. zri,. Nikm, M. Hi Dprm of Mmic, Md rc, Ilmic zd Uivriy, P.O.ox 4-975, Md, Ir. rc: I i ppr,

More information

THE LOWELL LEDGER, / INDEPENDENT- NOT NEUTRAL.

THE LOWELL LEDGER, / INDEPENDENT- NOT NEUTRAL. H DR / DPD UR V X 22 R CRCU CH HURDY VR 7 94 C PPR FFC PPR HKV RY R Y C R x R{ K C & C V 3 P C C H Y R Y C F C K R D PU F YU q C Y D VR D Y? P V ; H C F F F H C Y C D YRCK RR D C PR RQU RCK D F ; F P 2

More information

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus) Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h

More information

( A) ( B) ( C) ( D) ( E)

( A) ( B) ( C) ( D) ( E) d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Mixing time with Coupling

Mixing time with Coupling Mixig im wih Couplig Jihui Li Mig Zhg Saisics Dparm May 7 Goal Iroducio o boudig h mixig im for MCMC wih couplig ad pah couplig Prsig a simpl xampl o illusra h basic ida Noaio M is a Markov chai o fii

More information

Marine Harvest Herald

Marine Harvest Herald Hv H T u 6-2013. u! u v v u up uu. F u - p u u u u u u pu uu x. W xu u u, u u k, O uu u u v v, u p. T, v u u u, u, k. p, u u u. v v,, G, pp u. W v p pv u x p v u v p. T v x u p u vu. u u v u u k upp, p

More information

! ( ! ( " ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001.

! ( ! (  ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001. # PU: P # OU: O ow oih ih. Oc v c: i,, o,, I, ic P o., O, U, FO, P,, o, I,, Oc v, i J, I, i hi, woo, Ii, O ciuo, h I U i h wi h fo h of O' ci. I o, oifi, c o i u hi, xc O o qui w. O cc o iii, iii whov,

More information

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform Aalyi o No-Siuoidal Wavorm Par Laplac raorm I h arlir cio, w lar ha h Fourir Sri may b wri i complx orm a ( ) C jω whr h Fourir coici C i giv by o o jωo C ( ) d o I h ymmrical orm, h Fourir ri i wri wih

More information

Integration by Parts

Integration by Parts Intgration by Parts Intgration by parts is a tchniqu primarily for valuating intgrals whos intgrand is th product of two functions whr substitution dosn t work. For ampl, sin d or d. Th rul is: u ( ) v'(

More information

Integral Transforms. Chapter 6 Integral Transforms. Overview. Introduction. Inverse Transform. Physics Department Yarmouk University

Integral Transforms. Chapter 6 Integral Transforms. Overview. Introduction. Inverse Transform. Physics Department Yarmouk University Ovrviw Phy. : Mhmicl Phyic Phyic Dprm Yrmouk Uivriy Chpr Igrl Trorm Dr. Nidl M. Erhid. Igrl Trorm - Fourir. Dvlopm o h Fourir Igrl. Fourir Trorm Ivr Thorm. Fourir Trorm o Driviv 5. Covoluio Thorm. Momum

More information

DETERMINATION OF THERMAL STRESSES OF A THREE DIMENSIONAL TRANSIENT THERMOELASTIC PROBLEM OF A SQUARE PLATE

DETERMINATION OF THERMAL STRESSES OF A THREE DIMENSIONAL TRANSIENT THERMOELASTIC PROBLEM OF A SQUARE PLATE DRMINAION OF HRMAL SRSSS OF A HR DIMNSIONAL RANSIN HRMOLASIC PROBLM OF A SQUAR PLA Wrs K. D Dpr o Mics Sr Sivji Co Rjr Mrsr Idi *Aor or Corrspodc ABSRAC prs ppr ds wi driio o prr disribio ow prr poi o

More information

CHESSERS GAP LUXURY RV RESORT

CHESSERS GAP LUXURY RV RESORT H GP UXUY V I, HIP, G IY F BI, ID DB / PPI K KIH I VU # UY I BH, H V BI, ID V P IDX F H V PIIY P PIIY P H P PIIY P UH P PIIY P V PVIG, GDIG D DIG P PIIY P V UIIY P K KIH I VU # UY I BH, ID BV GIIG, I H

More information

TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS

TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS UNIT-I PARTIAL DIFFERENTIAL EQUATIONS PART-A. Elimit th ritrry ott & from = ( + )(y + ) Awr: = ( + )(y + ) Diff prtilly w.r.to & y hr p & q y p = (y + ) ;

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS

TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS UNIT-I PARTIAL DIFFERENTIAL EQUATIONS PART-A. Elimit th ritrry ott & from = ( + )(y + ) = ( + )(y + ) Diff prtilly w.r.to & y hr p & q p = (y + ) ; q = ( +

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Erlkönig. t t.! t t. t t t tj tt. tj t tj ttt!t t. e t Jt e t t t e t Jt Gsng Po 1 Agio " " lkö (Compl by Rhol Bckr, s Moifi by Mrk S. Zimmr)!! J "! J # " c c " Luwig vn Bhovn WoO 131 (177) I Wr Who!! " J J! 5 ri ris hro' h spä h, I urch J J Nch rk un W Es n wil A J J is f

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

to Highbury via Massey University, Constellation Station, Smales Farm Station, Akoranga Station and Northcote

to Highbury via Massey University, Constellation Station, Smales Farm Station, Akoranga Station and Northcote b v Nc, g, F, C Uv Hgb p (p 4030) F g (p 4063) F (p 3353) L D (p 3848) 6.00 6.0 6.2 6.20 6.30 6.45 6.50 6.30 6.40 6.42 6.50 7.00 7.5 7.20 7.00 7.0 7.2 7.20 7.30 7.45 7.50 7.30 7.40 7.42 7.50 8.00 8.5 8.20

More information

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1 TH ROAL TATITICAL OCIT 6 AINATION OLTION GRADAT DILOA ODL T oci i providig olio o ai cadida prparig or aiaio i 7. T olio ar idd a larig aid ad old o b a "odl awr". r o olio old alwa b awar a i a ca r ar

More information

1. Six acceleration vectors are shown for the car whose velocity vector is directed forward. For each acceleration vector describe in words the

1. Six acceleration vectors are shown for the car whose velocity vector is directed forward. For each acceleration vector describe in words the Si ccelerio ecors re show for he cr whose eloci ecor is direced forwrd For ech ccelerio ecor describe i words he iseous moio of he cr A ri eers cured horizol secio of rck speed of 00 km/h d slows dow wih

More information

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

Approximation of Functions Belonging to. Lipschitz Class by Triangular Matrix Method. of Fourier Series

Approximation of Functions Belonging to. Lipschitz Class by Triangular Matrix Method. of Fourier Series I Jorl of Mh Alysis, Vol 4, 2, o 2, 4-47 Approximio of Fcios Blogig o Lipschiz Clss by Triglr Mrix Mhod of Forir Sris Shym Ll Dprm of Mhmics Brs Hid Uivrsiy, Brs, Idi shym _ll@rdiffmilcom Biod Prsd Dhl

More information

Physics 232 Exam I Feb. 14, 2005

Physics 232 Exam I Feb. 14, 2005 Phsics I Fe., 5 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio wih gul eloci o dissec. gie is i ie i is oud o e 8 c o he igh o he equiliiu posiio d oig o he le wih eloci o.5 sec..

More information

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY VOL. 8, NO. 7, JULY 03 ISSN 89-6608 ARPN Jourl of Egieerig d Applied Sciece 006-03 Ai Reerch Publihig Nework (ARPN). All righ reerved. www.rpjourl.com SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO

More information

Living In Residential Newsletter October 2012

Living In Residential Newsletter October 2012 Livg I Rii N O 2012 g 0 0 4 1 v, i i ig i W i i. W,. W i i i. g v v ii kg ig! i W ii x ii k H i, i I, P i. v i I i A. S ii R g 6). Mg iv vi i i ( i ik iv i v i i Y E-Ii, F i,. T SUi-S i v i I. i i i. I

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Fourier Series: main points

Fourier Series: main points BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca

More information

(1) (2) sin. nx Derivation of the Euler Formulas Preliminary Orthogonality of trigonometric system

(1) (2) sin. nx Derivation of the Euler Formulas Preliminary Orthogonality of trigonometric system orir Sri Priodi io A io i lld priodi io o priod p i p p > p: ir I boh d r io o priod p h b i lo io o priod p orir Sri Priod io o priod b rprd i rm o rioomri ri o b i I h ri ovr i i lld orir ri o hr b r

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem iol ol o L choloy i Eii M & Alid Scic LEMAS Vol V Fy 8 SSN 78-54 hl S o Si-ii Al B: Dic Pol Viv Fl M. S. Wh d N. W. hod 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi M.S di 3 D o

More information

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional Mlil idd variabls March 9 Mlidisioal Parial Dirial Eaios arr aro Mchaical Egirig 5B iar i Egirig Aalsis March 9 Ovrviw Rviw las class haracrisics ad classiicaio o arial dirial aios Probls i or ha wo idd

More information

GRADED QUESTIONS ON COMPLEX NUMBER

GRADED QUESTIONS ON COMPLEX NUMBER E /Math-I/ GQ/Comple umer GRADED QUESTINS N CMPEX NUMBER. The umer of the form + i y where ad y are real umers ad i = - i. e.( i ) is called a comple umer ad it is deoted y z i.e. z = + i y.the comple

More information

ECEN620: Network Theory Broadband Circuit Design Fall 2014

ECEN620: Network Theory Broadband Circuit Design Fall 2014 ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag

More information

WORKERS STRIKE AT TEE BALLOT M

WORKERS STRIKE AT TEE BALLOT M P Y * OWRD D PUBHD BY H W b C OC P R Y O O O :»; HURDY OCOBR >:> 906 VO V WORKR RK BO v v Y B B J W k! J V Dx R C Dw D B b Hv H D R H C V b wk b b v * b - v G (J - - w wk v x b W k k-- w b- q v b : - w

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

EE757 Numerical Techniques in Electromagnetics Lecture 9

EE757 Numerical Techniques in Electromagnetics Lecture 9 EE757 uericl Techiques i Elecroeics Lecure 9 EE757 06 Dr. Mohed Bkr Diereil Equios Vs. Ierl Equios Ierl equios ke severl ors e.. b K d b K d Mos diereil equios c be epressed s ierl equios e.. b F d d /

More information

H2 Mathematics Arithmetic & Geometric Series ( )

H2 Mathematics Arithmetic & Geometric Series ( ) H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic

More information

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if

More information

Posterior analysis of the compound truncated Weibull under different loss functions for censored data.

Posterior analysis of the compound truncated Weibull under different loss functions for censored data. INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg

More information

5'-33 8 " 28' " 2'-2" CARPET 95'-7 8' " B04B 1'-0" STAIR B04 UP 19R F B F QT-1/ C-1 B WD/ P-2 W DW/P-1 C DW/P-1 8' " B05 B04A

5'-33 8  28'  2'-2 CARPET 95'-7 8'  B04B 1'-0 STAIR B04 UP 19R F B F QT-1/ C-1 B WD/ P-2 W DW/P-1 C DW/P-1 8'  B05 B04A 4" UI RI (SI PIP) YIH '- " '- '- " S 4" UI RI (SI PIP) YIH 2'- " 7'- 4 " '-" 2'- " '- 9'-7 2 9'- '-07 " " '-07 " '- " 0'- '- " 4'-0 " '-9 '- 4 " '- " '- 4 " '-" 2'- 04 29'- 7'- '-4" '-4" 2'-" 4'- 4'- 7

More information

Note 6 Frequency Response

Note 6 Frequency Response No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio

More information

From Fourier Series towards Fourier Transform

From Fourier Series towards Fourier Transform From Fourir Sris owards Fourir rasform D D d D, d wh lim Dparm of Elcrical ad Compur Eiri D, d wh lim L s Cosidr a fucio G d W ca xprss D i rms of Gw D G Dparm of Elcrical ad Compur Eiri D G G 3 Dparm

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition: Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all

More information

2 xg v Z u R u B pg x g Z v M 10 u Mu p uu Kg ugg k u g B M p gz N M u u v v p u R! k PEKER S : vg pk H g E u g p Muu O R B u H H v Yu u Bu x u B v RO

2 xg v Z u R u B pg x g Z v M 10 u Mu p uu Kg ugg k u g B M p gz N M u u v v p u R! k PEKER S : vg pk H g E u g p Muu O R B u H H v Yu u Bu x u B v RO HE 1056 M EENG O HE BRODE UB 1056 g B u 7:30 p u p 17 2012 R 432 R Wg Z g Uv : G g B S : K v Su g 33; 29 4 g u R : P : E R B J B Y B B B B B u B u E B J Hu u M M P R g J Rg Rg S u S pk k R g: u D u G D

More information

2. T H E , ( 7 ) 2 2 ij ij. p i s

2. T H E , ( 7 ) 2 2 ij ij. p i s M O D E L O W A N I E I N Y N I E R S K I E n r 4 7, I S S N 1 8 9 6-7 7 1 X A N A L Y S I S O F T E M P E R A T U R E D I S T R I B U T I O N I N C O M P O S I T E P L A T E S D U R I N G T H E R M A

More information

Data Structures Lecture 3

Data Structures Lecture 3 Rviw: Rdix sor vo Rdix::SorMgr(isr& i, osr& o) 1. Dclr lis L 2. Rd h ifirs i sr i io lis L. Us br fucio TilIsr o pu h ifirs i h lis. 3. Dclr igr p. Vribl p is h chrcr posiio h is usd o slc h buck whr ifir

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

ASSERTION AND REASON

ASSERTION AND REASON ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct

More information