2.1.1 Definition The Z-transform of a sequence x [n] is simply defined as (2.1) X re x k re x k r

Size: px
Start display at page:

Download "2.1.1 Definition The Z-transform of a sequence x [n] is simply defined as (2.1) X re x k re x k r"

Transcription

1 Z-Trsforms. INTRODUCTION TO Z-TRANSFORM The Z-trsform is coveiet d vluble tool for represetig, lyig d desigig discrete-time sigls d systems. It plys similr role i discrete-time systems to tht which Lplce trsform plys i cotiuous time systems. I this uit the mi objective is to preset importt cocepts of the Z-trsform d their pplictio i fidig the stbility of the discrete time systems. Z-trsform is powerful tool for determiig the trsfer fuctio of system. This is useful to study bout stbility of system with respect to pole-ero ptter i -ple. The frequecy respose of system c be obtied by replcig by e jw withi the trsfer fuctio of the system... Defiitio The Z-trsform of sequece x [] is simply defied s ZÈÎx[ ] X -  x[ ] (. - d the iverse Z-trsform is defied s - - Z ÈÎX x[ ] X d pj C (. jw - jw  [ ]  [ ] < (.3 X e x e x - - jw  [ ] ( X x re - jw jw  [ ]  [ ] < (ROC X re x re x r - -. RELATION BETWEEN Z-TRANSFORM AND FOURIER TRANSFORM As we ow -  x[ ] - X

2 3 Digitl Sigl Processig - Â ( It is obvious tht the regio of covergece for the Z-trsform of d [] is the etire -ple. Tble. List of Z-Trsform pirs S. No. x[] for 0 X( ROC. [] Etire -ple. [ m] m All, except 0 (if m > 0 or (if m < 0 3. u [] 4. u [] 5. u [ ] - > > < 6. e T x [] X (e T ROC of X ( Â X ( H ( Itersectio of ROC of X ( d ROC of H ( 7. xmh [ ] [ - m] m 0 Tble. Properties of Z-trsform S. No. Properties Sequece Z-trsform ROC. Lierity x [] + bx [] X ( + bx ( Cotis R «R. Time-shiftig x [ 0 ] e m X ( R x expect for the possible dditio or deletio of the origi or ifiity 3. Multiplictio by expoetil sequece 4. Differetitio x [] x [] X ( Scled versio of R (i.e., R the set of poits { } for i R d - X d 5. Cojugte x * [] X * ( R 6. Time reversl x [ ] X ( R 7. Covolutio x [] ƒ x [] X ( X ( R «R 8. First differece x [] x [ ] ( X ( At lest the itersectio of R d > 0 R

3 Z-Trsforms 33.4 ROC AND ITS PROPERTIES The Z-trsform does ot coverge for ll vlues of. For y give sequece, the set of vlues of for which the Z-trsform coverges is clled regio of covergece (ROC, which is govered by coditio: Defiitio: X If r 0 i ROC, the:  [ ] - x r - Right-hded: x[] 0 " < N : If r > r 0, the: - < -  [ ]  [ ] X x x r < [ ]  x N  x [ ] N r 0 <  x [ ] r  x [ ] r0 N N the r lso i ROC, the ROC is exterior of circle Defiitio: - < < -  [ ]  [ ] X x x r < - Left-hded: x[] 0 " > N : N X  x[ ] - If r 0 i ROC, the: If r < r 0, the: - N  - [ ] x r < N N  x [ ] r  x [ ] r0 - - < < the r lso i ROC, the ROC is iterior of circle Properties of ROC for Z-trsform:. The ROC of X ( cosists of rig i the -ple cetered bout the origi. The ROC does ot coti y poles

4 34 Digitl Sigl Processig 3. If x [] is of fiite durtio, the ROC is the etire -ple, except possibly 0 d Fig.. Uit circle i -ple. Exmple. Obti the Z-trsform of x ( m Solutio: By defiitio of Z-trsform - ( - ( - ZÈÎx m  x m m let m substitutio of the bove qutity yields -m ZÈx m x ( - Î Â.5 TRANSFER FUNCTION 0 -m  x( 0 -m X (.7 Let the DTLTI system be chrcteried by the followig differece equtio Trsfer fuctio of the system p [ ]  ( - - ( - (.8 y x b y H 0 Y X + p 0 q I y trsfer fuctio of Discrete Time Lier Time Ivrit (DTLTI system, if is replced by e jw the required frequecy respose of the system c be obtied.   q b (.9

5 jw H e ROC: rig without poles iside. p  + 0 q  b - jw - jw Z-Trsforms 35 (.0 Exmple. Obti the trsfer fuctio of the followig differece equtio d obti its frequecy respose. y 0.5y- + x+ x- Solutio: Tig Z-trsform o both the sides - - Y 0.5 Y + X + X The trsfer fuctio H Y + X The frequecy respose c be obtied by replcig by e jwt jwt H e + e - 0.5e Amplitude respose c be represeted s - jwt - jwt + coswt - jsi wt - 0.5cos w T jsi w T ( cos si ( cos w T + ( 0.5 si wt jw T + w T + wt H e The phse respose c be represeted s si 0.5 si t T t T j w T - w - w H e - + coswt -0.5coswT where T is smplig itervl T fs fs is smplig frequecy Exmple.3 Obti the Z-trsform of the followig fuctio d fid its ROC.  0 Solutio: x [ ] u[ ] <  [ ]  Â( fi < > X x for (

6 36 Digitl Sigl Processig X fi oe ero t 0 d oe pole t ( - Fig.. Uit circle i -ple showig Regio of Covergece (ROC. Exmple.4 Obti the Z-trsform of the followig fuctio d fid its ROC Â 0 < Solutio: x[ ] - u[ --l] fi X Â x[ ] Â - Â -( - - -l- - l -fi -l l l ( - X - Â - Â - - for < - l X for < ( l - Fig..3 Uit circle i -ple showig Regio of Covergece (ROC. Exmple.5 Obti the Z-trsform of the followig fuctio [ ] 0.5 [ ] + (-0.3 [ ] x u u

7 Z-Trsforms 37 x[ ] + by[ ] X + by, ROC Rx «Ry [ ] u, ROC > ( - - X +, : ROC > - «> - + Solutio: ( ( ( ( X, ROC: > X, ROC: > ( ( ( - 0. ( - 0.5( X, ROC: > 0.5 Exmple.6 Obti the Z-trsform of the followig fuctio [ ] -0.5 [- - ] + (-0.3 [ ] x u u x[ ] + by[ ] X + by, ROC Rx «Ry [ ] u, ROC > [ ] ( - - -u--, ROC < ( - - X +, : ROC > - «< - + Solutio: ( ( ( ( X, ROC: 0.3< < X, ROC: 0.3 < ( ( ( - 0. ( - 0.5( X, ROC: 0.3< < 0.5 It hs poles d eros

8 38 Digitl Sigl Processig.6 INVERSE Z-TRANSFORM.6. Power Series.6. Iversio Itegrl - + ( +  (- X log +, ROC: > - - log - X  x[ ] - + [ ] x - u[ -] A powerful lyticl method determiig the iverse Z-trsform is the iversio itegrl method. The fuctio Y ( c be cosidered i the complex -ple. A give coefficiet i such series my be determied by itegrl reltioship. It c be show tht pplictio of this cocept to y ( yields for the iverse trsform. - y y d (. p j Ú c where c is cotour chose to iclude ll sigulrities of the itegrd. By Cuchy s residue theorem the itegrl c be reduced to y  Re sè Îy - (. p m m where p m represets pole of y ( d Res [] represets the residue t p m Exmple.7 Fid the iverse Z-trsform of y Solutio: y - - ( -( -0.5 This c be expressed s + È y  Re sí m Î( -( -5 pm For the poles t d 0.5, the residues re clculted s follows + + È È Re s Í Í Î( -( Î - + È + È Re s Í Í Í( -( -0.5 Î- 0.5 Î 0.5

9 y -( 0.5 Exmple.8 Determie the iverse trsform of Y Z-Trsforms 39 Solutio: Note tht the mximum egtive power of i the umertor is lrger th for the deomitor. Multiplictio of the umertor d the deomitor by 3 results i Y ( -( È y  Re sí m Î( -( -5 pm Accordig to eq. (., we my determie the iverse trsform from y  m ( + + È Re sí Í Î 3 - ( -( -0.5 We must exmie to see if there re y vlues of for which there is pole t the origi. Ideed, for 0 there is secod-order pole t 0, d for there is simple pole t 0. However, for, the oly poles re d 0.5. Let us first determie the iverse trsform pertiet to this ltter rge. We hve y Re s[ ] + Re s [ ] ( 0.5 for (.3 The vlues of y (0 d y ( c be determied from the expressios ( È y( 0  Res Í m Í ( -( -0.5 (.4 Î pm [ ] [ ] [ ] Re s + Re s + Re s ( + + È y(  Res Í m Í Î 3 - ( -( -0.5 [ ] [ ] [ ] Re s + Re s + Re s ( The reder is ivited to demostrte tht the sum of the lst two residues i ech of equtios (.4 & (.5 is the sme s would be obtied by tig eq. (.3 d evlutig it for 0 d respectively. Thus, isted of performig complete evlutio of ll the residues for 0 d, it is ecessry oly to determie the dditiol residues t 0 i ech cse. For eq. (.3, we hve

10 40 Digitl Sigl Processig For eq. (.5 we hve 3 ( + + È Re s Í 6 Í ( -( -0.5 Î 3 ( È Re s Í Í ( -( -0.5 Î This gives y( y( ( For, the expressio of eq. (.3 is pplicble. A lterte wy to write y ( for 0 i oe expressio is the equtio y 6 d + d A few vlues re tbulted i the followig Tble.3. Tble y ( Exmple.9 Fid the iverse Z-trsform of the followig X, > X, < Solutio: From the equtios u[ ], > -u [-- ], < Solutio usig the bove equtios by visulitio ʈ ʈ x Á u x u Á [ ] [ ] [ ] - [- -].6.3 Study of Some Exmples Usig Prtil Frctio Expsio X q q q -  0 ( p-q p p p - 0  0 ( b b -c -c -d -d 0 b0 0 (

11 Z-Trsforms 4 Prtil Frctio Expsio: q < p, Simple Roots X q - ( - c p A p  - - ( - d - d X, > x [ ] u[ ] - - X, < x - u [ ] [ ] - (( A -d X d Prtil Frctio Expsio: q < p, Simple Roots X b± b -4c - ± ± 5 i X X ( - ( + 3 A + A - - ( - ( ( - ( - ( ( - ( ( - ( - ( ( A ( X ( ( ( A ( X ( X /5 4/5 + - ( - - ( + 3 X x u - -, > [ ] [ ] 3 X, < x [ ] - u[ --] x u 3 u Ê ˆ > fi + - Á + -3 u [ ] [ ] [ ] [ ] 4 Ê 4 ˆ < fi x - u u -- - Á + -3 u [ ] [ ] [ ] [ ]

12 Z-Trsforms 43 3 A 4 - ( - ( ( -3 Ê3ˆ ʈ ʈ 3 4 Á 4 Á Á 4 4 Prtil Frctio Expsio: q < p, Simple Roots -/ / 3 / X X x u - -, > [ ] [ ], < [ ] - [- -] X x u ROC: < < 3 Ê ˆ Ê 7ˆ Ê3ˆ x Á u u u u 6 Á Á 3 [ ] - [ ] + ( 4 [ ] + - (-3 [- - ] + (-4 [- -] ˆ Ê3 ˆ Ê x Á u u 6 Á 3 [ ] - [ ] + - [- -] Prtil Frctio Expsio: q > p X , > X +, > A A X Ê - ˆ - ( - Á ± - ± ± 4 4 poles È A Í - Î - - / È - Í A Í 8 - Í / - Î

13 44 Digitl Sigl Processig.7 Z-DOMAIN STABILITY x Ê ˆ Á u u [ ] d[ ]- 9 [ ] + 8 [ ].7. Stbility A system is sid to be stble if it produces bouded output for bouded iput (BIBO A system is sid to be stble if its impulse respose vishes fter sufficietly log time. h [] Æ 0 s Æ Fig..4 Uit circle i -ple. System is relible system is stble Ÿ system is cusl  [ ] ( jv stble h < H e coverges is i ROC cusl h [ ] 0 for < 0 h [ ] right-hded ROC is exterior of circle: > relible ROC > d icludes uit circle ll poles iside uit circle.7. Stbility of DTLTI System As i the cse of cotiuous-time system discrete-time system is sid to be stble if every fiite iput produces fiite output. The stbility cocept my be redily expressed by coditios reltig to the impulse respose h (. These coditios re:

14 46 Digitl Sigl Processig Solutio: ( Tig the Z-trsforms of both sides of the give system differece equtio d solvig for H (, we obti - Y + H X The poles d eros re best obtied by mometrily rrgig umertor d deomitor polyomils i positive powers of. + ( + H The poles re locted t d 0.5, which re iside the uit circle. Thus, the system is stble. (b The impulse respose my be obtied by expdig H ( i prtil frctio expsio ccordig to the procedure of the precedig sectio. This yields H Iversio of the bove equtio yields h It c be redily see tht the impulse respose h ( vishes fter sufficietly log time s expected, sice this is stble trsfer fuctio. (c To obti the respose due to x (, we multiply X ( by H ( d obti ( + Y Prtil frctio expsio yields Y The iverse trsform is Y SOME TYPICAL EXAMPLES ON Z-TRANSFORM Exmple. Fid x [] for the followig system trsfer fuctio. X

15 Z-Trsforms 47 Solutio: X [ ] x Exmple.3 Fid Z-trsform of È Í Z Í Í- - Î - ʈ ʈ Á u + - Á [ ] u[ ] Ê ˆ Á È [ ] + [ - ] Îu u ʈ Á È u[ ] + u[ - ] - u[ - ] Î Ê ˆ Á È [ ] - [ - ] + [ - ] Îu u u ʈ x [ ] Á Èd [ ] + u[ - ] Î [ ] ( u[ -] x - Solutio: ZÈu[ ] Î - Z ÈÎu[ - ] Z È Î u[ - ] - - (

16 Z-Trsforms 49 u > - - Solutio: [ ] Usig the differetitio property of Z-trsform (refer Tble., Property 4 d u[ ] Ê ˆ - Á- d - - > - ( - Exmple.6 Fid x [] of the followig fuctio usig covolutio property of Z-trsform. X Ê - ˆ Ê - ˆ Á- + Á 4 Solutio: X X X X - ʈ x Á X - [ ] u[ ] x Ê ˆ Á u 4 [ ] - [ ] Usig covolutio property of Z-trsform (refer Tble., Property 7 x x * x [ ] [ ] [ ]  0 x x - ʈ Ê-ˆ  Á Á 4 0 ʈ ʈ Ê-ˆ Á  Á Á 4 0 ʈ Ê ˆ ʈ Á - Á Á

17 50 Digitl Sigl Processig Exmple.7 coditios. Solutio: For For For < 4 > 3 ʈ Ê-ˆ Á Á  0 + ʈ Ê Ê ˆ ˆ Á - - Á Á - Ê ˆ - -Á- Èʈ ʈ Ê ˆ Í Á - Á Á- ÍÎ Èʈ ʈ Ê ˆ Ê ˆ Í Á - Á Á- Á- ÍÎ3 3 Èʈ Ê ˆ Í Á + Á- u [ ] ÍÎ3 3 4 Fid iverse Z-trsform of the followig fuctio uder differet ROC < < 4 3 X + Ê -ˆ Ê -ˆ Á- - Á 4 3 ʈ ʈ x Á u u Á 4 3 [ ] [ ]- [- -] ʈ ʈ x Á u u Á 4 3 [ ] - [- -]- [- -] ʈ ʈ x Á u u Á 4 3 [ ] [ ] + [ ] Exmple.8 Fid the Z-trsform of x( cos (w u (. Solutio: Give tht x cos w u From defiitio ÈÎx x  x. - -

18 5 Digitl Sigl Processig We ow tht cos Êe w Á ( jw + e - jw ˆ fi cos jw - jw Êe + e ˆ w Á w - w e + e j j jw - jw ( e + ( e Form the defiitio of Z-trsform, - ÈÎx x  x 0 - \  ( w x.cos. 0 È jw - jw (. e + (. e  0 Í Í Î - j (. w - j + (. - w - e e  0 (. (. j j e w - + e - w -  0 È Í + jw - - jw - Î -e. -e. È j j Í + w - w -e -e Î - jw jw È( - e + ( -e Í jw - jw ÍÎ ( -e ( -e - jw jw È -. e + -. e Í - jw jw Î -. e -. e + jw - jw È Êe + e ˆ - ÍÁ Î È jw - jw È Ê e + e ˆ Í - ÍÁ + ÍÎ Î

19 54 Digitl Sigl Processig A Z - Z - + BZ Z - + C Z - Z - Z + DZ Z A Z - Z - 4Z B Z - 4Z + 4Z + C Z -Z Z - + D Z -Z A Z - 5Z + 8Z B Z - 4Z + 4Z + C Z - 3Z + Z + D Z -Z Comprig, Z 3 -terms fi A + B + C 0 Z -terms fi 5A 4B 3C + D 0 Z-terms fi 8A + 4B + C D 0 Costt fi 4A A - 4 By solvig the bove terms, we get B -3 C 4 D Substitutig A, B, C, D from the bove equtios, the Z Z Z - Z 3Z Z X Z Z - 4 Z - Z - ( -( - 4Z ( Z - 4( Z - ( - fi - Z 3Z Z X ( Z ( Z - 4( Z - ( Z - Applyig the iverse Z-trsform, we get, - 3 x d + u - ( u + ( u Exmple. Fid the iverse Z-trsform of x > Solutio: Give tht, x > (

20 4 7 ( ( Ê Á Z-Trsforms The result is ( \ From the defiitio of Z-trsform, - ÈÎx x  x. - \ ( 0 ( ( 3 x Z x x x x By comprig equtios ( d (, we get, x ( º º ( x (0 4 x ( 3 x ( 38

21 Z-Trsforms 57 Solutio: Ê ˆ X log Á, > - - (i Give tht, - \ X -log -, > The power series expsio for log( p is give s log ( - p - Â p p < The regio of covergece is >, i.e., < \ Power series expsio of X ( is give by, - X Â ( - Â ( \ From bove equtios, x ( c be defied s Ê ˆ Á, for x 0, for 0 u - or x X Z Ê ˆ log Á, < - (ii Give tht - - \ X Z -log -, < The regio of covergece is, < i.e., < \ Power series expsio of X ( is give by, - X Â ( Â - ( - \ From bove equtios, x ( c be defied s x ( 0, for 0 Ê ˆ - Á for (or - u ( - x

22 . Determie the iverse Z-trsform of the followig ( X Z-Trsforms Obti the trsfer fuctio for the system described by differece equtio y + y ( - x 4. Obti the trsfer fuctio of the system described by the differece equtio give by d hece, impulse respose y ( - -4y ( - + 3y ( - 3 x( - + x( - 5. Fid x (0 d x ( for the sequece whose Z-trsform is X - 3 Multiple-Choice Questios. The Z-trsform of the uit rmp is give by ( (b (c (d. The Z-trsform of x (0 is ( X ( (b X (0 (c X ( (d lim X Æ 3. For cusl sigls d systems, the Z-trsform is defied s - ( X Â x (b X Â x (c X Â x - (d X Â x - 4. Regio of covergece is defied s ( Set of -vlues for which the series coverges. (b Set of -vlues for which the series coverges. (c Set of -vlues for which the series diverges. (d Set of -vlues for which the series diverges. 5. If lower limit of the ROC is greter th the upper limit of ROC the series - X Â x -

23 Z-Trsforms 6 3. The Z-trsform of  x - is ( X ( (b X (0 (c X ( (d X ( 4. The system is sid to be stble if d oly if  h - ( Greter th ifiity (c Less th ifiity 5. The Z-trsform of  x l - is (b Equl to ifiity (d Equl to ero X ( X ( (b - - (c X ( (d X ( 6. The Z-trsform of x ( is Ê ˆ Ê ˆ ( X Á (b X Á (c X ( (d X ( 7. Uit smple respose of system is ( h ( [h(] (b h ( [H (] (c h ( [X(] (d h ( [Y (] 8. The system is sid to be cusl if d oly if ( h ( 0 for < 0 (b x ( 0 for < 0 (c y ( 0 for < 0 (d y ( 0 for > 0 9. The system is described by the followig differece equtio y ( y ( x ( If the excittio is the uit impulse, the system trsfer fuctio is ( (b - + (c 0. The iverse Z-trsform of X (d ( - - if X ( coverges bsolutely for some < ( ( + for 0 (b ( + for (c ( + for 0 (d ( + for

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Assoc. Prof. Dr. Bur Kelleci Sprig 8 OUTLINE The Z-Trsform The Regio of covergece for the Z-trsform The Iverse Z-Trsform Geometric

More information

Frequency-domain Characteristics of Discrete-time LTI Systems

Frequency-domain Characteristics of Discrete-time LTI Systems requecy-domi Chrcteristics of Discrete-time LTI Systems Prof. Siripog Potisuk LTI System descriptio Previous bsis fuctio: uit smple or DT impulse The iput sequece is represeted s lier combitio of shifted

More information

ELEG 5173L Digital Signal Processing Ch. 2 The Z-Transform

ELEG 5173L Digital Signal Processing Ch. 2 The Z-Transform Deprtmet of Electricl Egieerig Uiversity of Arkss ELEG 573L Digitl Sigl Processig Ch. The Z-Trsform Dr. Jigxi Wu wuj@urk.edu OUTLINE The Z-Trsform Properties Iverse Z-Trsform Z-Trsform of LTI system Z-TRANSFORM

More information

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Dr. Hamid R. Rabiee Fall 2013

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Dr. Hamid R. Rabiee Fall 2013 Sigls & Systems Chpter 0: The Z-Trsform Adpted from: Lecture otes from MIT, Bighmto Uiversity Dr. Hmid R. Rbiee Fll 03 Lecture 5 Chpter 0 Lecture 6 Chpter 0 Outlie Itroductio to the -Trsform Properties

More information

DIGITAL SIGNAL PROCESSING LECTURE 5

DIGITAL SIGNAL PROCESSING LECTURE 5 DIGITAL SIGNAL PROCESSING LECTURE 5 Fll K8-5 th Semester Thir Muhmmd tmuhmmd_7@yhoo.com Cotet d Figures re from Discrete-Time Sigl Processig, e by Oppeheim, Shfer, d Buck, 999- Pretice Hll Ic. The -Trsform

More information

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Hamid R. Rabiee Arman Sepehr Fall 2010

Chapter 10: The Z-Transform Adapted from: Lecture notes from MIT, Binghamton University Hamid R. Rabiee Arman Sepehr Fall 2010 Sigls & Systems Chpter 0: The Z-Trsform Adpted from: Lecture otes from MIT, Bighmto Uiversity Hmid R. Riee Arm Sepehr Fll 00 Lecture 5 Chpter 0 Outlie Itroductio to the -Trsform Properties of the ROC of

More information

The z Transform. The Discrete LTI System Response to a Complex Exponential

The z Transform. The Discrete LTI System Response to a Complex Exponential The Trsform The trsform geerlies the Discrete-time Forier Trsform for the etire complex ple. For the complex vrible is sed the ottio: jω x+ j y r e ; x, y Ω rg r x + y {} The Discrete LTI System Respose

More information

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k. . Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2 Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit

More information

Review of Sections

Review of Sections Review of Sectios.-.6 Mrch 24, 204 Abstrct This is the set of otes tht reviews the mi ides from Chpter coverig sequeces d series. The specific sectios tht we covered re s follows:.: Sequces..2: Series,

More information

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property Lier Time-Ivrit Bsic Properties LTI The Commuttive Property The Distributive Property The Associtive Property Ti -6.4 / Chpter Covolutio y ] x ] ] x ]* ] x ] ] y] y ( t ) + x( τ ) h( t τ ) dτ x( t) * h(

More information

POWER SERIES R. E. SHOWALTER

POWER SERIES R. E. SHOWALTER POWER SERIES R. E. SHOWALTER. sequeces We deote by lim = tht the limit of the sequece { } is the umber. By this we me tht for y ε > 0 there is iteger N such tht < ε for ll itegers N. This mkes precise

More information

Chapter 7 Infinite Series

Chapter 7 Infinite Series MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2

More information

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex:

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex: Ifiite Series Sequeces: A sequece i defied s fuctio whose domi is the set of positive itegers. Usully it s esier to deote sequece i subscript form rther th fuctio ottio.,, 3, re the terms of the sequece

More information

( a n ) converges or diverges.

( a n ) converges or diverges. Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite

More information

Discrete-Time Signals & Systems

Discrete-Time Signals & Systems Chpter 2 Discrete-Time Sigls & Systems 清大電機系林嘉文 cwli@ee.thu.edu.tw 03-57352 Discrete-Time Sigls Sigls re represeted s sequeces of umbers, clled smples Smple vlue of typicl sigl or sequece deoted s x =

More information

F x = 2x λy 2 z 3 = 0 (1) F y = 2y λ2xyz 3 = 0 (2) F z = 2z λ3xy 2 z 2 = 0 (3) F λ = (xy 2 z 3 2) = 0. (4) 2z 3xy 2 z 2. 2x y 2 z 3 = 2y 2xyz 3 = ) 2

F x = 2x λy 2 z 3 = 0 (1) F y = 2y λ2xyz 3 = 0 (2) F z = 2z λ3xy 2 z 2 = 0 (3) F λ = (xy 2 z 3 2) = 0. (4) 2z 3xy 2 z 2. 2x y 2 z 3 = 2y 2xyz 3 = ) 2 0 微甲 07- 班期中考解答和評分標準 5%) Fid the poits o the surfce xy z = tht re closest to the origi d lso the shortest distce betwee the surfce d the origi Solutio Cosider the Lgrge fuctio F x, y, z, λ) = x + y + z

More information

Remarks: (a) The Dirac delta is the function zero on the domain R {0}.

Remarks: (a) The Dirac delta is the function zero on the domain R {0}. Sectio Objective(s): The Dirc s Delt. Mi Properties. Applictios. The Impulse Respose Fuctio. 4.4.. The Dirc Delt. 4.4. Geerlized Sources Defiitio 4.4.. The Dirc delt geerlized fuctio is the limit δ(t)

More information

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1 Appedix A.. Itroductio As discussed i the Chpter 9 o Sequeces d Series, sequece,,...,,... hvig ifiite umber of terms is clled ifiite sequece d its idicted sum, i.e., + + +... + +... is clled ifite series

More information

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION School Of Distce Eductio Questio Bk UNIVERSITY OF ALIUT SHOOL OF DISTANE EDUATION B.Sc MATHEMATIS (ORE OURSE SIXTH SEMESTER ( Admissio OMPLEX ANALYSIS Module- I ( A lytic fuctio with costt modulus is :

More information

Z-Transform of a discrete time signal x(n) is defined as the power series

Z-Transform of a discrete time signal x(n) is defined as the power series Z-Trsform of discrete time sigl x is defied s the ower series x 3.. This reltio lso clled direct Z-Trsform. Z[ x ] 3.. x 3..3 Regio of covergece ROC of is the set of ll vlues of for which ttis fiite vlue.

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

from definition we note that for sequences which are zero for n < 0, X[z] involves only negative powers of z.

from definition we note that for sequences which are zero for n < 0, X[z] involves only negative powers of z. We ote that for the past four examples we have expressed the -trasform both as a ratio of polyomials i ad as a ratio of polyomials i -. The questio is how does oe kow which oe to use? [] X ] from defiitio

More information

MATH 104 FINAL SOLUTIONS. 1. (2 points each) Mark each of the following as True or False. No justification is required. y n = x 1 + x x n n

MATH 104 FINAL SOLUTIONS. 1. (2 points each) Mark each of the following as True or False. No justification is required. y n = x 1 + x x n n MATH 04 FINAL SOLUTIONS. ( poits ech) Mrk ech of the followig s True or Flse. No justifictio is required. ) A ubouded sequece c hve o Cuchy subsequece. Flse b) A ifiite uio of Dedekid cuts is Dedekid cut.

More information

SUTCLIFFE S NOTES: CALCULUS 2 SWOKOWSKI S CHAPTER 11

SUTCLIFFE S NOTES: CALCULUS 2 SWOKOWSKI S CHAPTER 11 UTCLIFFE NOTE: CALCULU WOKOWKI CHAPTER Ifiite eries Coverget or Diverget eries Cosider the sequece If we form the ifiite sum 0, 00, 000, 0 00 000, we hve wht is clled ifiite series We wt to fid the sum

More information

A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD

A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD Diol Bgoo () A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD I. Itroductio The first seprtio of vribles (see pplictios to Newto s equtios) is ver useful method

More information

[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold.

[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold. [ 0 ]. Iequlity eists oly betwee two rel umbers (ot comple umbers).. If be y rel umber the oe d oly oe of there hold.. If, b 0 the b 0, b 0.. (i) b if b 0 (ii) (iii) (iv) b if b b if either b or b b if

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

Definition of z-transform.

Definition of z-transform. - Trasforms Frequecy domai represetatios of discretetime sigals ad LTI discrete-time systems are made possible with the use of DTFT. However ot all discrete-time sigals e.g. uit step sequece are guarateed

More information

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.

Z - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals. Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:

More information

SUTCLIFFE S NOTES: CALCULUS 2 SWOKOWSKI S CHAPTER 11

SUTCLIFFE S NOTES: CALCULUS 2 SWOKOWSKI S CHAPTER 11 SUTCLIFFE S NOTES: CALCULUS SWOKOWSKI S CHAPTER Ifiite Series.5 Altertig Series d Absolute Covergece Next, let us cosider series with both positive d egtive terms. The simplest d most useful is ltertig

More information

Calculus II Homework: The Integral Test and Estimation of Sums Page 1

Calculus II Homework: The Integral Test and Estimation of Sums Page 1 Clculus II Homework: The Itegrl Test d Estimtio of Sums Pge Questios Emple (The p series) Get upper d lower bouds o the sum for the p series i= /ip with p = 2 if the th prtil sum is used to estimte the

More information

Sequence and Series of Functions

Sequence and Series of Functions 6 Sequece d Series of Fuctios 6. Sequece of Fuctios 6.. Poitwise Covergece d Uiform Covergece Let J be itervl i R. Defiitio 6. For ech N, suppose fuctio f : J R is give. The we sy tht sequece (f ) of fuctios

More information

EVALUATING DEFINITE INTEGRALS

EVALUATING DEFINITE INTEGRALS Chpter 4 EVALUATING DEFINITE INTEGRALS If the defiite itegrl represets re betwee curve d the x-xis, d if you c fid the re by recogizig the shpe of the regio, the you c evlute the defiite itegrl. Those

More information

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1 Ifiite Series Some Tests for Divergece d Covergece Divergece Test: If lim u or if the limit does ot exist, the series diverget. + 3 + 4 + 3 EXAMPLE: Show tht the series diverges. = u = + 3 + 4 + 3 + 3

More information

BC Calculus Review Sheet

BC Calculus Review Sheet BC Clculus Review Sheet Whe you see the words. 1. Fid the re of the ubouded regio represeted by the itegrl (sometimes 1 f ( ) clled horizotl improper itegrl). This is wht you thik of doig.... Fid the re

More information

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form 0.5 Power Series I the lst three sectios, we ve spet most of tht time tlkig bout how to determie if series is coverget or ot. Now it is time to strt lookig t some specific kids of series d we will evetully

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

Chapter System of Equations

Chapter System of Equations hpter 4.5 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =

More information

Test Info. Test may change slightly.

Test Info. Test may change slightly. 9. 9.6 Test Ifo Test my chge slightly. Short swer (0 questios 6 poits ech) o Must choose your ow test o Tests my oly be used oce o Tests/types you re resposible for: Geometric (kow sum) Telescopig (kow

More information

82A Engineering Mathematics

82A Engineering Mathematics Clss Notes 9: Power Series /) 8A Egieerig Mthetics Secod Order Differetil Equtios Series Solutio Solutio Ato Differetil Equtio =, Hoogeeous =gt), No-hoogeeous Solutio: = c + p Hoogeeous No-hoogeeous Fudetl

More information

Math 104: Final exam solutions

Math 104: Final exam solutions Mth 14: Fil exm solutios 1. Suppose tht (s ) is icresig sequece with coverget subsequece. Prove tht (s ) is coverget sequece. Aswer: Let the coverget subsequece be (s k ) tht coverges to limit s. The there

More information

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006)

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006) UNIVERSITY OF BRISTOL Exmitio for the Degrees of B.Sc. d M.Sci. (Level C/4) ANALYSIS B, SOLUTIONS MATH 6 (Pper Code MATH-6) My/Jue 25, hours 3 miutes This pper cotis two sectios, A d B. Plese use seprte

More information

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx), FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the

More information

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i Mth 06 Clculus Sec. 5.: The Defiite Itegrl I. Riem Sums A. Def : Give y=f(x):. Let f e defied o closed itervl[,].. Prtitio [,] ito suitervls[x (i-),x i ] of legth Δx i = x i -x (i-). Let P deote the prtitio

More information

The Definite Integral

The Definite Integral The Defiite Itegrl A Riem sum R S (f) is pproximtio to the re uder fuctio f. The true re uder the fuctio is obtied by tkig the it of better d better pproximtios to the re uder f. Here is the forml defiitio,

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

Generalizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations

Generalizing the DTFT. The z Transform. Complex Exponential Excitation. The Transfer Function. Systems Described by Difference Equations Geeraliig the DTFT The Trasform M. J. Roberts - All Rights Reserved. Edited by Dr. Robert Akl 1 The forward DTFT is defied by X e jω = x e jω i which = Ω is discrete-time radia frequecy, a real variable.

More information

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS) Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

More information

ALGEBRA. Set of Equations. have no solution 1 b1. Dependent system has infinitely many solutions

ALGEBRA. Set of Equations. have no solution 1 b1. Dependent system has infinitely many solutions Qudrtic Equtios ALGEBRA Remider theorem: If f() is divided b( ), the remider is f(). Fctor theorem: If ( ) is fctor of f(), the f() = 0. Ivolutio d Evlutio ( + b) = + b + b ( b) = + b b ( + b) 3 = 3 +

More information

The Z-Transform. Content and Figures are from Discrete-Time Signal Processing, 2e by Oppenheim, Shafer, and Buck, Prentice Hall Inc.

The Z-Transform. Content and Figures are from Discrete-Time Signal Processing, 2e by Oppenheim, Shafer, and Buck, Prentice Hall Inc. The Z-Trasform Cotet ad Figures are from Discrete-Time Sigal Processig, e by Oppeheim, Shafer, ad Buck, 999- Pretice Hall Ic. The -Trasform Couterpart of the Laplace trasform for discrete-time sigals Geeraliatio

More information

lecture 16: Introduction to Least Squares Approximation

lecture 16: Introduction to Least Squares Approximation 97 lecture 16: Itroductio to Lest Squres Approximtio.4 Lest squres pproximtio The miimx criterio is ituitive objective for pproximtig fuctio. However, i my cses it is more ppelig (for both computtio d

More information

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING OLLSCOIL NA héireann, CORCAIGH THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING MATHEMATICS MA008 Clculus d Lier

More information

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right: Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the

More information

Digital Signal Processing

Digital Signal Processing Digital Sigal Processig Z-trasform dftwave -Trasform Backgroud-Defiitio - Fourier trasform j ω j ω e x e extracts the essece of x but is limited i the sese that it ca hadle stable systems oly. jω e coverges

More information

Approximate Integration

Approximate Integration Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:

More information

Course 121, , Test III (JF Hilary Term)

Course 121, , Test III (JF Hilary Term) Course 2, 989 9, Test III (JF Hilry Term) Fridy 2d Februry 99, 3. 4.3pm Aswer y THREE questios. Let f: R R d g: R R be differetible fuctios o R. Stte the Product Rule d the Quotiet Rule for differetitig

More information

Section 6.3: Geometric Sequences

Section 6.3: Geometric Sequences 40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.

More information

PROGRESSIONS AND SERIES

PROGRESSIONS AND SERIES PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.

More information

We will begin by supplying the proof to (a).

We will begin by supplying the proof to (a). (The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce

More information

DETERMINANT. = 0. The expression a 1. is called a determinant of the second order, and is denoted by : y + c 1

DETERMINANT. = 0. The expression a 1. is called a determinant of the second order, and is denoted by : y + c 1 NOD6 (\Dt\04\Kot\J-Advced\SMP\Mths\Uit#0\NG\Prt-\0.Determits\0.Theory.p65. INTRODUCTION : If the equtios x + b 0, x + b 0 re stisfied by the sme vlue of x, the b b 0. The expressio b b is clled determit

More information

Options: Calculus. O C.1 PG #2, 3b, 4, 5ace O C.2 PG.24 #1 O D PG.28 #2, 3, 4, 5, 7 O E PG #1, 3, 4, 5 O F PG.

Options: Calculus. O C.1 PG #2, 3b, 4, 5ace O C.2 PG.24 #1 O D PG.28 #2, 3, 4, 5, 7 O E PG #1, 3, 4, 5 O F PG. O C. PG.-3 #, 3b, 4, 5ce O C. PG.4 # Optios: Clculus O D PG.8 #, 3, 4, 5, 7 O E PG.3-33 #, 3, 4, 5 O F PG.36-37 #, 3 O G. PG.4 #c, 3c O G. PG.43 #, O H PG.49 #, 4, 5, 6, 7, 8, 9, 0 O I. PG.53-54 #5, 8

More information

Limits and an Introduction to Calculus

Limits and an Introduction to Calculus Nme Chpter Limits d Itroductio to Clculus Sectio. Itroductio to Limits Objective: I this lesso ou lered how to estimte limits d use properties d opertios of limits. I. The Limit Cocept d Defiitio of Limit

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

MAS221 Analysis, Semester 2 Exercises

MAS221 Analysis, Semester 2 Exercises MAS22 Alysis, Semester 2 Exercises Srh Whitehouse (Exercises lbelled * my be more demdig.) Chpter Problems: Revisio Questio () Stte the defiitio of covergece of sequece of rel umbers, ( ), to limit. (b)

More information

Linear Programming. Preliminaries

Linear Programming. Preliminaries Lier Progrmmig Prelimiries Optimiztio ethods: 3L Objectives To itroduce lier progrmmig problems (LPP To discuss the stdrd d coicl form of LPP To discuss elemetry opertio for lier set of equtios Optimiztio

More information

Limit of a function:

Limit of a function: - Limit of fuctio: We sy tht f ( ) eists d is equl with (rel) umer L if f( ) gets s close s we wt to L if is close eough to (This defiitio c e geerlized for L y syig tht f( ) ecomes s lrge (or s lrge egtive

More information

Vectors. Vectors in Plane ( 2

Vectors. Vectors in Plane ( 2 Vectors Vectors i Ple ( ) The ide bout vector is to represet directiol force Tht mes tht every vector should hve two compoets directio (directiol slope) d mgitude (the legth) I the ple we preset vector

More information

THE GAMMA FUNCTION. z w dz.

THE GAMMA FUNCTION. z w dz. THE GAMMA FUNCTION. Some results from lysis Lemm. Suppose f is sequece of fuctios lytic o ope subset D of C. If f coverges uiformly o every compct closed d bouded subset of D to the limit fuctio f the

More information

Approximations of Definite Integrals

Approximations of Definite Integrals Approximtios of Defiite Itegrls So fr we hve relied o tiderivtives to evlute res uder curves, work doe by vrible force, volumes of revolutio, etc. More precisely, wheever we hve hd to evlute defiite itegrl

More information

Chapter #2 EEE Subsea Control and Communication Systems

Chapter #2 EEE Subsea Control and Communication Systems EEE 87 Chpter # EEE 87 Sube Cotrol d Commuictio Sytem Trfer fuctio Pole loctio d -ple Time domi chrcteritic Extr pole d zero Chpter /8 EEE 87 Trfer fuctio Lplce Trform Ued oly o LTI ytem Differetil expreio

More information

Review of the Riemann Integral

Review of the Riemann Integral Chpter 1 Review of the Riem Itegrl This chpter provides quick review of the bsic properties of the Riem itegrl. 1.0 Itegrls d Riem Sums Defiitio 1.0.1. Let [, b] be fiite, closed itervl. A prtitio P of

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digitl Sigl Processig, Fll 6 Lecture 6: Sstem structures for implemettio Zeg-u T Deprtmet of Electroic Sstems Alorg Uiversit, Demr t@om.u.d Digitl Sigl Processig, VI, Zeg-u T, 6 Course t glce Discrete-time

More information

The Elementary Arithmetic Operators of Continued Fraction

The Elementary Arithmetic Operators of Continued Fraction Americ-Eursi Jourl of Scietific Reserch 0 (5: 5-63, 05 ISSN 88-6785 IDOSI Pulictios, 05 DOI: 0.589/idosi.ejsr.05.0.5.697 The Elemetry Arithmetic Opertors of Cotiued Frctio S. Mugssi d F. Mistiri Deprtmet

More information

Chapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures

Chapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures Chpter 5 The Riem Itegrl 5.1 The Riem itegrl Note: 1.5 lectures We ow get to the fudmetl cocept of itegrtio. There is ofte cofusio mog studets of clculus betwee itegrl d tiderivtive. The itegrl is (iformlly)

More information

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B. Review Sheet: Chpter Cotet: Essetil Clculus, Erly Trscedetls, Jmes Stewrt, 007 Chpter : Fuctios d Limits Cocepts, Defiitios, Lws, Theorems: A fuctio, f, is rule tht ssigs to ech elemet i set A ectly oe

More information

General properties of definite integrals

General properties of definite integrals Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties

More information

Certain sufficient conditions on N, p n, q n k summability of orthogonal series

Certain sufficient conditions on N, p n, q n k summability of orthogonal series Avilble olie t www.tjs.com J. Nolier Sci. Appl. 7 014, 7 77 Reserch Article Certi sufficiet coditios o N, p, k summbility of orthogol series Xhevt Z. Krsiqi Deprtmet of Mthemtics d Iformtics, Fculty of

More information

z-transform A generalization of the DTFT defined by

z-transform A generalization of the DTFT defined by The DTFT provides frequecy-domi represettio of discrete-time sigs d LTI discrete-time systems Becuse of the covergece coditio, i my cses, the DTFT of sequece my ot exist As resut, it is ot possie to mke

More information

Solutions of Chapter 5 Part 1/2

Solutions of Chapter 5 Part 1/2 Page 1 of 8 Solutios of Chapter 5 Part 1/2 Problem 5.1-1 Usig the defiitio, compute the -trasform of x[] ( 1) (u[] u[ 8]). Sketch the poles ad eros of X[] i the plae. Solutio: Accordig to the defiitio,

More information

10.5 Test Info. Test may change slightly.

10.5 Test Info. Test may change slightly. 0.5 Test Ifo Test my chge slightly. Short swer (0 questios 6 poits ech) o Must choose your ow test o Tests my oly be used oce o Tests/types you re resposible for: Geometric (kow sum) Telescopig (kow sum)

More information

(1 q an+b ). n=0. n=0

(1 q an+b ). n=0. n=0 AN ELEMENTARY DERIVATION OF THE ASYMPTOTICS OF PARTITION FUNCTIONS Diel M Ke Abstrct Let S,b { + b : 0} where is iteger Let P,b deote the umber of prtitios of ito elemets of S,b I prticulr, we hve the

More information

BC Calculus Path to a Five Problems

BC Calculus Path to a Five Problems BC Clculus Pth to Five Problems # Topic Completed U -Substitutio Rule Itegrtio by Prts 3 Prtil Frctios 4 Improper Itegrls 5 Arc Legth 6 Euler s Method 7 Logistic Growth 8 Vectors & Prmetrics 9 Polr Grphig

More information

( ) dx ; f ( x ) is height and Δx is

( ) dx ; f ( x ) is height and Δx is Mth : 6.3 Defiite Itegrls from Riem Sums We just sw tht the exct re ouded y cotiuous fuctio f d the x xis o the itervl x, ws give s A = lim A exct RAM, where is the umer of rectgles i the Rectgulr Approximtio

More information

Math 2414 Activity 17 (Due with Final Exam) Determine convergence or divergence of the following alternating series: a 3 5 2n 1 2n 1

Math 2414 Activity 17 (Due with Final Exam) Determine convergence or divergence of the following alternating series: a 3 5 2n 1 2n 1 Mth 44 Activity 7 (Due with Fil Exm) Determie covergece or divergece of the followig ltertig series: l 4 5 6 4 7 8 4 {Hit: Loo t 4 } {Hit: } 5 {Hit: AST or just chec out the prtil sums} {Hit: AST or just

More information

Unit 1. Extending the Number System. 2 Jordan School District

Unit 1. Extending the Number System. 2 Jordan School District Uit Etedig the Number System Jord School District Uit Cluster (N.RN. & N.RN.): Etedig Properties of Epoets Cluster : Etedig properties of epoets.. Defie rtiol epoets d eted the properties of iteger epoets

More information

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2! mth power series, prt ii 7 A Very Iterestig Emple Oe of the first power series we emied ws! + +! + + +!! + I Emple 58 we used the rtio test to show tht the itervl of covergece ws (, ) Sice the series coverges

More information

2. Infinite Series 3. Power Series 4. Taylor Series 5. Review Questions and Exercises 6. Sequences and Series with Maple

2. Infinite Series 3. Power Series 4. Taylor Series 5. Review Questions and Exercises 6. Sequences and Series with Maple Chpter II CALCULUS II.4 Sequeces d Series II.4 SEQUENCES AND SERIES Objectives: After the completio of this sectio the studet - should recll the defiitios of the covergece of sequece, d some limits; -

More information

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a.

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a. Eercise 5 For y < A < B, we hve B A f fb B d = = A B A f d f d For y ɛ >, there re N > δ >, such tht d The for y < A < δ d B > N, we hve ba f d f A bb f d l By ba A A B A bb ba fb d f d = ba < m{, b}δ

More information

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 0 FURTHER CALCULUS II. Sequeces d series. Rolle s theorem d me vlue theorems 3. Tlor s d Mcluri s theorems 4. L Hopitl

More information

Advanced Calculus Test File Spring Test 1

Advanced Calculus Test File Spring Test 1 Advced Clculus Test File Sprig 009 Test Defiitios - Defie the followig terms.) Crtesi product of A d B.) The set, A, is coutble.) The set, A, is ucoutble 4.) The set, A, is ifiite 5.) The sets A d B re

More information

Chapter 2 Infinite Series Page 1 of 9

Chapter 2 Infinite Series Page 1 of 9 Chpter Ifiite eries Pge of 9 Chpter : Ifiite eries ectio A Itroductio to Ifiite eries By the ed of this sectio you will be ble to uderstd wht is met by covergece d divergece of ifiite series recogise geometric

More information

M2.The Z-Transform and its Properties

M2.The Z-Transform and its Properties M2.The Z-Trasform ad its Properties Readig Material: Page 94-126 of chapter 3 3/22/2011 I. Discrete-Time Sigals ad Systems 1 What did we talk about i MM1? MM1 - Discrete-Time Sigal ad System 3/22/2011

More information

Student Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)

Student Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT) Studet Success Ceter Elemetry Algebr Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetry Algebr test. Reviewig these smples

More information

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced

More information

9.1 Sequences & Series: Convergence & Divergence

9.1 Sequences & Series: Convergence & Divergence Notes 9.: Cov & Div of Seq & Ser 9. Sequeces & Series: Covergece & Divergece A sequece is simply list of thigs geerted by rule More formlly, sequece is fuctio whose domi is the set of positive itegers,

More information

is continuous at x 2 and g(x) 2. Oil spilled from a ruptured tanker spreads in a circle whose area increases at a

is continuous at x 2 and g(x) 2. Oil spilled from a ruptured tanker spreads in a circle whose area increases at a . Cosider two fuctios f () d g () defied o itervl I cotiig. f () is cotiuous t d g() is discotiuous t. Which of the followig is true bout fuctios f g d f g, the sum d the product of f d g, respectively?

More information

b a 2 ((g(x))2 (f(x)) 2 dx

b a 2 ((g(x))2 (f(x)) 2 dx Clc II Fll 005 MATH Nme: T3 Istructios: Write swers to problems o seprte pper. You my NOT use clcultors or y electroic devices or otes of y kid. Ech st rred problem is extr credit d ech is worth 5 poits.

More information