Chapter 25 Sturm-Liouville problem (II)

Size: px
Start display at page:

Download "Chapter 25 Sturm-Liouville problem (II)"

Transcription

1 Chpter 5 Sturm-Liouville problem (II Speer: Lug-Sheg Chie Reerece: [] Veerle Ledou, Study o Specil Algorithms or solvig Sturm-Liouville d Schrodiger Equtios. [] 王信華教授, chpter 8, lecture ote o Ordiry Dieretil equtio

2 Pruermethod Sturm-Liouville Dirichlet eigevlue problem: Scled Pruer trsormtio y = ρ si S where z = py = S ρ cos S ( ; E > : sclig uctio d dy p + q y = Ew y, y = y = Simple Pruer trsormtio y = ρ si z = py = ρ cos d S Ew q S = cos + si + si cos p S S d ρ S Ew q S = si cos ρ p S S S = d cos = + ( Ew q si p d ρ = ρ p ( Ew q si cos So r we hve show tht Sturm-Liouville Dirichlet problem hs ollowig properties Eigevlues re rel d simple, ordered s E < E < E < Eige-uctios re orthogol i L ([, ], w with ier-product φ ψ φ ψ w 3 Eige-uctios re rel d twice dieretible W Moreover we hve implemeted (Scled Pruer equtio d S Ew q S = cos + si + si cos p S S with Forwrd Euler Method (ot stble, but it c be used so r

3 Sturm s Compriso [] Theorem (Sturm s irst Compriso theorem: let (, E,(, E φ φ be eige-pir o Sturm-Liouville problem. d dy p + q y = Ew y suppose E > E, the φ is more oscilltory th φ. Precisely speig φ φ Betwee y cosecutive two zeros o φ, there is t lest oe zero o φ Theorem (Sturm s secod Compriso theorem: let (, E,(, E φ φ be solutios o Sturm-Liouville problem. d d φ p = E w q d dφ p = E w q ( φ φ ( ( suppose p p d E w q < E w q o [, b] ( Betwee y cosecutive two zeros o φ, there is t lest oe zero o φ <proo o (> d dφ p = E w q d dφ p = E w q φ φ Simple Pruer d = cos + p d = cos + p ( E w q si ( E w q si 3

4 First we cosider = = Sturm s Compriso [] d = cos + p = d ( Ew q si F (, = cos + ( E w q si G (, suppose p p d E w q < E w q o [, b] = = p p ( Ew q < Ew q p = ( ( (, <, F G cotiuity o F, G d d (, [ δ ] F, < G, + < [ + δ ], = = = < ( + ] δ, = + h =, > + h, the ( = ( p ( p ( F (, ( < G (, ( ( Ew ( q ( < ( Ew( q ( = + h ( ] < + h, + h + δ 4 Suppose

5 d = Questio: How to del with the cse < Sturm s Compriso [3] <proo o (> Betwee y cosecutive two zeros o φ, there is t lest oe zero o φ Suppose φ hs cosecutive zeros t, φ φ Without loss o geerlity, we ssume φ > o (, Moreover φ (, we my ssume φ > o [, + δ d φ =, φ ( > ( φ > o [, + δ ( Apply result o (, set =, b =, the ( = ( < ( = π ( c < y = ρ si = π φ ( φ ( = = p t φ ( φ ( = t = < γ π p ( c φ = d π > o (, + δ π < γ < i φ ( > π < γ < π i φ ( < c 5

6 Pitll [] Recll Sturm-Liouville Dirichlet eigevlue problem: d dy p + q y = Ew y, y = y = Eigevlues re rel d simple, ordered s E < E < E < Questio: How bout symptotic behvior o eigevlue, sy lim E = or lim E = α Eige-uctios re orthogol i L ([, ], w with ier-product φ ψ φ ψ w Questio: re eige-uctios complete i L ([, ], w W {( E, ψ : =,,3 } is eige-pir o d dy p q y Ew y y y 3 Eige-uctios re rel d twice dieretible ( { ψ } = { = ψ } = [ ] + =, = = cl sp cl iite combitio o L,, w? L ([, ], w lim ψ, ψ = = The more importt questio is d d Questio: is opertor L = p + q w digolizble i L ([, ], w 6

7 Pitll [] Questio: How bout symptotic behvior o eigevlue, sy lim E = or lim E = α Geerl Sturm-Liouville problem Model problem d dφ + = p q φ Ew φ pm + q Mφ = Ewmφ p M = m { p : [, ] } > = φ ( = q M = m { q : [, ] } w mi { : [, ]} d = c os + ( Ew q s i m = w > = cos + ( Ewm qm φ d p = Sturm s secod Compriso theorem ( ( ( Betwee y cosecutive two zeros o φ, there is t lest oe zero o φ d φ Ew q + φ = = > p m M,, require Ewm qm Hoo s Lw: M solutio: φ = mπ π Zeros o solutio is m = with spce = m m = s E d φ p M = si φ = si Eercise: Betwee y cosecutive two zeros o φ, there is t lest oe zero o φ shows lim E = 7

8 Pitll [3] Questio: re eige-uctios complete i L ([, ], w Geerl Sturm-Liouville problem d dy p + q y = Ew y y = = y p =, q =, w =, = π Model problem d y = Ey y = = y ( π Questio : solutio o modl problem is ψ = si, =,,3, Is such eigespce { ψ =,,3, } complete i L [, π ] Cosider spce ([ π π ] [ π π ] π { π } L, = :, R < i { ϕ e =, 3,,,,,,3, } is orthogol i L ([ π, π ] with ier-product g = g π π ϕ ϕ i { ϕ Z} m π π i m i im = = e e = π i m ( [ π, π ] cl sp e L P is closed subspce decompositio = P + P is uique P where P cl ( sp{ ϕ Z} cl ( sp{ ϕ Z} P cl sp ϕ Z ( { } 8

9 Pitll [4] P P ( { ϕ Z} cl sp Iormlly, P = cϕ or some { } = ( { } P = P cl sp ϕ Z c = to be determied P ( { ϕ } cl sp Z P ϕ Z ϕ P = Z P = P ϕ = ϕ P Z ϕ = c ϕ ϕ Z m m m= π i ϕ ϕ m = = i = m m c = ϕ Z π Formlly speig, whe we write such tht S P S i L sese. P = c ϕ, i mthemticl sese we costruct prtil sum = P i L [ π, π ] lim P S = lim P S = L π π P S sp { ϕ =,,, } P = cϕ = S ( { ϕ > } cl sp 9

10 Pitll [5] S P P { ϕ =,,, } sp ( { ϕ > } cl sp { ϕ,,, } M sp = ( { ϕ } N cl sp > ( { ϕ Z } M cl sp ([ π, π ] C L = M N M ( P = S + S + P L ([ π, π ] M N C M ( S P S S P S S = P S + P ϕ S = ϕ = ϕ S c = ϕ π Eercise: S = cϕ, c = ϕ π is the solutio o mi :{ } = = ϕ = L c c R

11 S = cϕ, c = ϕ π Pitll [6] i = + + = = S c c e c e ( cos si ( cos si S = c + c + + c = S = c + c + c cos + c c si = i S + cos + b si = cos = where si = si m cos =, m d π = π π π = cos π π π b = si π π Theorem: trigoometric bsis is complete i L ([ π, π ] i ( { ϕ Z} = ([ π, π ] cl sp e L C ([ π, π ] = M sp{ ϕ =,,, } N cl sp{ ϕ > } L M N M S i L sese, where S + cos + b si =

12 i Eercise: we hve show { ϕ Z} where Pitll [7] { } ([ π π ] cl sp e = cl sp, cos,si : =,, = L, S b L π π + cos + si, = ([ ] π π =, cos : Fourier cosie coeiciet π = π π π π b = si : Fourier sie coeiciet π π We bbrevite s lim S = + cos + b si I uctio is eve, sy = π =, the + cos, = cos π = I uctio is odd, sy = (, the π b si, b = si π = d y = Ey Modl problem hs eige-pir ψ y = y ( π = E =, = si, =,,3, From bove eercise, or y L ([, π ], we c do odd etesio odd the. Hece ψ = b si ( { = si : =,, } = ([, π ] cl sp L Questio: How bout i we do eve etesio i > eve L i < = i > L i < = ([ π, π ] ([ π, π ]

13 Pitll [8] d Questio: is opertor d L = p + q w From Pruer trsormtio, we c show Lψ E ψ ψ ψ digolizble i L ([, ], w =, = = Eigevlues re rel d simple, ordered s E < E < E <, lim E = Eige-uctios re orthogol i L ([, ], w with ier-product φ ψ φ ψ w d W Deie domi o opertor L with Dirichlet boudry coditio s D( L L ([ ] w ( {,, : } = = = Clerly we hve cl sp{ ψ : =,, } D L,but we c ot sy L is digolizble i D( L Fiite dimesiol mtri computtio iiite dimesiol uctiol lysis Jord orm: A( u v = ( u v Au = u u : eigevector Av = v + u v : geerlized eigevector Lψ = E ψ ψ ψ = = Lφ = E φ + ψ φ = = φ ψ : eigeuctio φ : geerlized eigeuctio Questio: does such φ : geerlized eigeuctio eists? ( Ide:i we c show tht cl sp{ ψ : =,, } = D L, the eve such φ eists, φ D( L The opertor L is digolizble i D( L, why? 3

14 Scled Pruer trsormtio d dy + = y = ρ si S z = py = S ρ cos S ( ; E > Scled Pruer Trsormtio [] Time-idepedet Schrodiger equtio p q y Ew y d + V ψ = Eψ ψ = = ψ ( π d S Ew q S Ew q S = + + cos + si p S p S S = A + B cos + C si d E V E V S = S S cos si S S S ; = ( E i E V Suppose we choose S = = ( E V where E V i E V > Questio: uctio is cotiuous but ot dieretible t =. How c we obti d i = i > i < d ( = i > d ( d d = = + (, ( d hs jump discotiuity t = 4

15 Observtio: i = i > Scled Pruer Trsormtio [] i < d = i > d The udmetl Theorem o Clculus lso holds, sy d d d = + s ds < <, =, udmetl Theorem o Clculus holds, does ot eist, we igore it. d = + s ds =, < < = is cotiuous ( + ( = = d 3, < =, udmetl Theorem o Clculus holds, + ( d = + s ds = + ds =, < s Questio: lthough udmetl theorem o clculus holds or uctio, but i How c we id ( umericlly d hve better ccurcy? Reso to discussio o udmetl theorem o clculus: d is give, d E V E S S V cos S = si S S S = ( + ( s, ( s ds ds d depeds o S(, ccurcy o ( d is equivlet to ccurcy o obtiig S( i S = ( E V, = i > 5

16 Numericl itegrtio [] 3 4 ( 3 ( 4 5 = O(, = (, = 3! 4! ( ( Igore odd power sice it does ot cotribute to itegrl h h 4 3 h h = h O h O h = + + 4! 3 ( h h h ( h = + h O h 3! 4! 3 4 ( 3 ( 4 5 h h h ( h = h + O h 3! 4! 3 4 ( 3 ( h + h = + h + O h 4 3 ( h 5 ( h h = h h + h O h geerl orm ( ( b b b 3 = ( ( b ( b c + b Trpzoid rule ( 梯形法 bse = b 6

17 Numericl itegrtio [] Emple: give prtitio = < < 3 < 4 < 5 = b d grid uctio = (, =,,3, 4, = We use Trpezoid rule to id F t dt = = b F F ( = = F = F ( = ( + F Eercise : let = cos, =, b = Try umber o grids =,, 4, 8, 6, compute F d mesure mimum error F ( { } m si Plot error versus grid umber, wht is order o ccurcy? = dt 3 = F = F = b Eercise : let i < = =, b = i > I = is i the grid prtitio, wht is order o ccurcy F I = is NOTi the grid prtitio, wht is order o ccurcy = = b 7

18 Scled Pruer Trsormtio [3] Questio: c we modiy uctio slightly such tht it is cotiuously dieretible, sy i = p i < < + i + d i = p i < < + i + 3 where p ( z z z z = is polyomil o degree 3,,,, 3 re chose such tht C <sol> C is chieved by ollowig 4 coditios + = p = = =, + ( ( = = p = 3 ( ( + + = + + = p + = ( + = ( = + p 3 + = + 3 =, d 3 = + + p z z z 3 where + 3 = 3 + 8

19 Scled Pruer Trsormtio [4] i = p i < < + i + d i = p i < < + i + = d, C but d hs jump discotiuity t =, + Eercise 3: try to costruct C i = p i < < + i where p ( z z z z z z = is polyomil o degree use Symbolic toolbo to determie coeiciets,,, 3, 4, 5 d d plot,, d use Trpezoid method to compute = + t dt,wht is order o ccurcy? 3 9

20 Model problem: d ψ = ψ, ψ = ψ ( π = solutio is ψ = si, =,,3 Review Fiite Dierece Method FDM π Dhψ ( j = λψ ( j or j =,,,, h = + eige-pir: { si ( : j,,,,,, N} j ψ = = + ( h 4si / λ = h ( c um cos = um = h = O h Questio: why does error o eigevlue icrese s wve umber icreses? 3 h ( 4 4 Dh = + + O h d ψ h ( 4 = ψ Dhψ + ψ ψ Substitute ψ = si ( ψ ( 4 4 ( j = ψ ( j 4 3 h 4 4 um + um + O( h d ψ h h h 4 Eercise 4: id lytic solutio o + Vψ = Eψ, ψ = ψ ( π = V The use FDM to solve D ψ ( V ( ψ ( E ψ ( ψ ψ ( π where + =, = = h j j j um j π 3π < < = 4 4 otherwise Wht is order o ccurcy? mesure Eum E

Eigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x):

Eigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x): Eigefuctio Epsio: For give fuctio o the iterl the eigefuctio epsio of f(): f ( ) cmm( ) m 1 Eigefuctio Epsio (Geerlized Fourier Series) To determie c s we multiply oth sides y Φ ()r() d itegrte: f ( )

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

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

Orthogonal functions - Function Approximation

Orthogonal functions - Function Approximation Orthogol uctios - Fuctio Approimtio - he Problem - Fourier Series - Chebyshev Polyomils he Problem we re tryig to pproimte uctio by other uctio g which cosists o sum over orthogol uctios Φ weighted by

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

Particle in a Box. and the state function is. In this case, the Hermitian operator. The b.c. restrict us to 0 x a. x A sin for 0 x a, and 0 otherwise

Particle in a Box. and the state function is. In this case, the Hermitian operator. The b.c. restrict us to 0 x a. x A sin for 0 x a, and 0 otherwise Prticle i Box We must hve me where = 1,,3 Solvig for E, π h E = = where = 1,,3, m 8m d the stte fuctio is x A si for 0 x, d 0 otherwise x ˆ d KE V. m dx I this cse, the Hermiti opertor 0iside the box The

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

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

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

Module 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur

Module 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur Module 4 Sigl Represettio d Bsed Processig Versio ECE IIT, Khrgpur Lesso 5 Orthogolity Versio ECE IIT, Khrgpur Ater redig this lesso, you will ler out Bsic cocept o orthogolity d orthoormlity; Strum -

More information

Fourier Series and Applications

Fourier Series and Applications 9/7/9 Fourier Series d Applictios Fuctios epsio is doe to uderstd the better i powers o etc. My iportt probles ivolvig prtil dieretil equtios c be solved provided give uctio c be epressed s iiite su o

More information

Notes 17 Sturm-Liouville Theory

Notes 17 Sturm-Liouville Theory ECE 638 Fll 017 Dvid R. Jckso Notes 17 Sturm-Liouville Theory Notes re from D. R. Wilto, Dept. of ECE 1 Secod-Order Lier Differetil Equtios (SOLDE) A SOLDE hs the form d y dy 0 1 p ( x) + p ( x) + p (

More information

Reduction of Higher Order Linear Ordinary Differential Equations into the Second Order and Integral Evaluation of Exact Solutions

Reduction of Higher Order Linear Ordinary Differential Equations into the Second Order and Integral Evaluation of Exact Solutions Mthemtic Aeter, Vol. 4, 04, o., 75-89 Reductio o Higher Order Lier Ordiry Dieretil Equtios ito the Secod Order d Itegrl Evlutio o Ect Solutios Guw Nugroho* Deprtmet o Egieerig Physics, Istitut Tekologi

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

Schrödinger Equation Via Laplace-Beltrami Operator

Schrödinger Equation Via Laplace-Beltrami Operator IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 6 Ver. III (Nov. - Dec. 7), PP 9-95 www.iosrjourls.org Schrödiger Equtio Vi Lplce-Beltrmi Opertor Esi İ Eskitşçioğlu,

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

1 Section 8.1: Sequences. 2 Section 8.2: Innite Series. 1.1 Limit Rules. 1.2 Common Sequence Limits. 2.1 Denition. 2.

1 Section 8.1: Sequences. 2 Section 8.2: Innite Series. 1.1 Limit Rules. 1.2 Common Sequence Limits. 2.1 Denition. 2. Clculus II d Alytic Geometry Sectio 8.: Sequeces. Limit Rules Give coverget sequeces f g; fb g with lim = A; lim b = B. Sum Rule: lim( + b ) = A + B, Dierece Rule: lim( b ) = A B, roduct Rule: lim b =

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

Topic 4 Fourier Series. Today

Topic 4 Fourier Series. Today Topic 4 Fourier Series Toy Wves with repetig uctios Sigl geertor Clssicl guitr Pio Ech istrumet is plyig sigle ote mile C 6Hz) st hrmoic hrmoic 3 r hrmoic 4 th hrmoic 6Hz 5Hz 783Hz 44Hz A sigle ote will

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

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

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

Simpson s 1/3 rd Rule of Integration

Simpson s 1/3 rd Rule of Integration Simpso s 1/3 rd Rule o Itegrtio Mjor: All Egieerig Mjors Authors: Autr Kw, Chrlie Brker Trsormig Numericl Methods Eductio or STEM Udergrdutes 1/10/010 1 Simpso s 1/3 rd Rule o Itegrtio Wht is Itegrtio?

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

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

Integral Operator Defined by k th Hadamard Product

Integral Operator Defined by k th Hadamard Product ITB Sci Vol 4 A No 35-5 35 Itegrl Opertor Deied by th Hdmrd Product Msli Drus & Rbh W Ibrhim School o Mthemticl Scieces Fculty o sciece d Techology Uiversiti Kebgs Mlysi Bgi 436 Selgor Drul Ehs Mlysi Emil:

More information

Relation of BSTs to Quicksort, Analysis of Random BST. Lecture 9

Relation of BSTs to Quicksort, Analysis of Random BST. Lecture 9 Reltio o BSTs to Quicsort, Alysis o Rdom BST Lecture 9 Biry-serch-tree sort T Crete empty BST or i = to do TREE-INSERT(T, A[i]) Perorm iorder tree wl o T. Emple: 3 A = [3 8 2 6 7 5] 8 Tree-wl time = O(),

More information

Interpolation. 1. What is interpolation?

Interpolation. 1. What is interpolation? Iterpoltio. Wht is iterpoltio? A uctio is ote give ol t discrete poits such s:.... How does oe id the vlue o t other vlue o? Well cotiuous uctio m e used to represet the + dt vlues with pssig through the

More information

CHAPTER 5: FOURIER SERIES PROPERTIES OF EVEN & ODD FUNCTION PLOT PERIODIC GRAPH

CHAPTER 5: FOURIER SERIES PROPERTIES OF EVEN & ODD FUNCTION PLOT PERIODIC GRAPH CHAPTER : FOURIER SERIES PROPERTIES OF EVEN & ODD FUNCTION POT PERIODIC GRAPH PROPERTIES OF EVEN AND ODD FUNCTION Fuctio is said to be a eve uctio i: Fuctio is said to be a odd uctio i: Fuctio is said

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

SOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method.

SOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method. SOLUTION OF SYSTEM OF LINEAR EQUATIONS Lecture 4: () Jcobi's method. method (geerl). (b) Guss Seidel method. Jcobi s Method: Crl Gustv Jcob Jcobi (804-85) gve idirect method for fidig the solutio of system

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

Lecture 38 (Trapped Particles) Physics Spring 2018 Douglas Fields

Lecture 38 (Trapped Particles) Physics Spring 2018 Douglas Fields Lecture 38 (Trpped Prticles) Physics 6-01 Sprig 018 Dougls Fields Free Prticle Solutio Schrödiger s Wve Equtio i 1D If motio is restricted to oe-dimesio, the del opertor just becomes the prtil derivtive

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

Important Facts You Need To Know/Review:

Important Facts You Need To Know/Review: Importt Fcts You Need To Kow/Review: Clculus: If fuctio is cotiuous o itervl I, the its grph is coected o I If f is cotiuous, d lim g Emple: lim eists, the lim lim f g f g d lim cos cos lim 3 si lim, t

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

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

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

f(x) is a function of x and it is defined on the set R of real numbers. If then f(x) is continuous at x=x 0, where x 0 R.

f(x) is a function of x and it is defined on the set R of real numbers. If then f(x) is continuous at x=x 0, where x 0 R. MATHEMATICAL PRELIMINARIES Limit Cotiuity Coverget squece Series Dieretible uctios Itegrble uctios Summtio deiitio o itegrl Me vlue theorem Me vlue theorem or itegrls Tylor's theorem Computer represettio

More information

Linear Algebra. Lecture 1 September 19, 2011

Linear Algebra. Lecture 1 September 19, 2011 Lier Algebr Lecture September 9, Outlie Course iformtio Motivtio Outlie of the course Wht is lier lgebr? Chpter. Systems of Lier Equtios. Solvig Lier Systems. Vectors d Mtrices Course iformtio Istructor:

More information

Chapter 4. Fourier Series

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

More information

MTH 146 Class 16 Notes

MTH 146 Class 16 Notes MTH 46 Clss 6 Notes 0.4- Cotiued Motivtio: We ow cosider the rc legth of polr curve. Suppose we wish to fid the legth of polr curve curve i terms of prmetric equtios s: r f where b. We c view the cos si

More information

Fast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation

Fast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation Algorithm Desig d Alsis Victor Admchi CS 5-45 Sprig 4 Lecture 3 J 7, 4 Cregie Mello Uiversit Outlie Fst Fourier Trsform ) Legedre s Iterpoltio ) Vdermode Mtri 3) Roots of Uit 4) Polomil Evlutio Guss (777

More information

lecture 24: Gaussian quadrature rules: fundamentals

lecture 24: Gaussian quadrature rules: fundamentals 133 lecture 24: Gussi qudrture rules: fudmetls 3.4 Gussi qudrture It is cler tht the trpezoid rule, b 2 f ()+ f (b), exctly itegrtes lier polyomils, but ot ll qudrtics. I fct, oe c show tht o qudrture

More information

Multiplication and Translation Operators on the Fock Spaces for the q-modified Bessel Function *

Multiplication and Translation Operators on the Fock Spaces for the q-modified Bessel Function * Advces i Pure Mthemtics 0-7 doi:0436/pm04039 Pulished Olie July 0 (http://wwwscirporg/jourl/pm) Multiplictio d Trsltio Opertors o the Fock Spces or the -Modiied Bessel Fuctio * Astrct Fethi Solti Higher

More information

Crushed Notes on MATH132: Calculus

Crushed Notes on MATH132: Calculus Mth 13, Fll 011 Siyg Yg s Outlie Crushed Notes o MATH13: Clculus The otes elow re crushed d my ot e ect This is oly my ow cocise overview of the clss mterils The otes I put elow should ot e used to justify

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

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

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

Using Quantum Mechanics in Simple Systems Chapter 15

Using Quantum Mechanics in Simple Systems Chapter 15 /16/17 Qutiztio rises whe the loctio of prticle (here electro) is cofied to dimesiolly smll regio of spce qutum cofiemet. Usig Qutum Mechics i Simple Systems Chpter 15 The simplest system tht c be cosidered

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

Power Series Solutions to Generalized Abel Integral Equations

Power Series Solutions to Generalized Abel Integral Equations Itertiol Jourl of Mthemtics d Computtiol Sciece Vol., No. 5, 5, pp. 5-54 http://www.isciece.org/jourl/ijmcs Power Series Solutios to Geerlized Abel Itegrl Equtios Rufi Abdulli * Deprtmet of Physics d Mthemtics,

More information

Fourier Series. Topic 4 Fourier Series. sin. sin. Fourier Series. Fourier Series. Fourier Series. sin. b n. a n. sin

Fourier Series. Topic 4 Fourier Series. sin. sin. Fourier Series. Fourier Series. Fourier Series. sin. b n. a n. sin Topic Fourier Series si Fourier Series Music is more th just pitch mplitue it s lso out timre. The richess o sou or ote prouce y musicl istrumet is escrie i terms o sum o umer o istict requecies clle hrmoics.

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

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

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

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

Riemann Integration. Chapter 1

Riemann Integration. Chapter 1 Mesure, Itegrtio & Rel Alysis. Prelimiry editio. 8 July 2018. 2018 Sheldo Axler 1 Chpter 1 Riem Itegrtio This chpter reviews Riem itegrtio. Riem itegrtio uses rectgles to pproximte res uder grphs. This

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

Homework 2 solutions

Homework 2 solutions Sectio 2.1: Ex 1,3,6,11; AP 1 Sectio 2.2: Ex 3,4,9,12,14 Homework 2 solutios 1. Determie i ech uctio hs uique ixed poit o the speciied itervl. gx = 1 x 2 /4 o [0,1]. g x = -x/2, so g is cotiuous d decresig

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

Numerical Integration

Numerical Integration Numericl tegrtio Newto-Cotes Numericl tegrtio Scheme Replce complicted uctio or tulted dt with some pproimtig uctio tht is esy to itegrte d d 3-7 Roerto Muscedere The itegrtio o some uctios c e very esy

More information

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials Numericl Solutios of Fredholm Itegrl Equtios Usig erstei Polyomils A. Shiri, M. S. Islm Istitute of Nturl Scieces, Uited Itertiol Uiversity, Dhk-, gldesh Deprtmet of Mthemtics, Uiversity of Dhk, Dhk-,

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

Supplemental Handout #1. Orthogonal Functions & Expansions

Supplemental Handout #1. Orthogonal Functions & Expansions UIUC Physics 435 EM Fields & Sources I Fll Semester, 27 Supp HO # 1 Prof. Steve Errede Supplemetl Hdout #1 Orthogol Fuctios & Epsios Cosider fuctio f ( ) which is defied o the itervl. The fuctio f ( )

More information

ELG4156 Design of State Variable Feedback Systems

ELG4156 Design of State Variable Feedback Systems ELG456 Desig of Stte Vrible Feedbck Systems This chpter dels with the desig of cotrollers utilizig stte feedbck We will cosider three mjor subjects: Cotrollbility d observbility d the the procedure for

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 11 Design of State Variable Feedback Systems

Chapter 11 Design of State Variable Feedback Systems Chpter Desig of Stte Vrible Feedbck Systems This chpter dels with the desig of cotrollers utilizig stte feedbck We will cosider three mjor subjects: Cotrollbility d observbility d the the procedure for

More information

Probability for mathematicians INDEPENDENCE TAU

Probability for mathematicians INDEPENDENCE TAU Probbility for mthemticis INDEPENDENCE TAU 2013 21 Cotets 2 Cetrl limit theorem 21 2 Itroductio............................ 21 2b Covolutio............................ 22 2c The iitil distributio does

More information

CITY UNIVERSITY LONDON

CITY UNIVERSITY LONDON CITY UNIVERSITY LONDON Eg (Hos) Degree i Civil Egieerig Eg (Hos) Degree i Civil Egieerig with Surveyig Eg (Hos) Degree i Civil Egieerig with Architecture PART EXAMINATION SOLUTIONS ENGINEERING MATHEMATICS

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

Mathematical Notation Math Calculus & Analytic Geometry I

Mathematical Notation Math Calculus & Analytic Geometry I Mthemticl Nottio Mth - Clculus & Alytic Geometry I Nme : Use Wor or WorPerect to recrete the ollowig ocumets. Ech rticle is worth poits c e prite give to the istructor or emile to the istructor t jmes@richl.eu.

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

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

( ) 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

Numerical Methods (CENG 2002) CHAPTER -III LINEAR ALGEBRAIC EQUATIONS. In this chapter, we will deal with the case of determining the values of x 1

Numerical Methods (CENG 2002) CHAPTER -III LINEAR ALGEBRAIC EQUATIONS. In this chapter, we will deal with the case of determining the values of x 1 Numericl Methods (CENG 00) CHAPTER -III LINEAR ALGEBRAIC EQUATIONS. Itroductio I this chpter, we will del with the cse of determiig the vlues of,,..., tht simulteously stisfy the set of equtios: f f...

More information

Solution of the exam in TMA4212 Monday 23rd May 2013 Time: 9:00 13:00

Solution of the exam in TMA4212 Monday 23rd May 2013 Time: 9:00 13:00 Norwegi Uiversity of Sciece d Techology Deprtmet of Mthemticl Scieces Cotct durig the exm: Ele Celledoi, tlf. 735 93541 Pge 1 of 7 of the exm i TMA4212 Mody 23rd My 2013 Time: 9:00 13:00 Allowed ids: Approved

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

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

3.7 The Lebesgue integral

3.7 The Lebesgue integral 3 Mesure d Itegrtio The f is simple fuctio d positive wheever f is positive (the ltter follows from the fct tht i this cse f 1 [B,k ] = for ll k, ). Moreover, f (x) f (x). Ideed, if x, the there exists

More information

Where do eigenvalues/eigenvectors/eigenfunctions come from, and why are they important anyway?

Where do eigenvalues/eigenvectors/eigenfunctions come from, and why are they important anyway? Where do eigevalues/eigevectors/eigeuctios come rom, ad why are they importat ayway? I. Bacgroud (rom Ordiary Dieretial Equatios} Cosider the simplest example o a harmoic oscillator (thi o a vibratig strig)

More information

The Exponential Function

The Exponential Function The Epoetil Fuctio Defiitio: A epoetil fuctio with bse is defied s P for some costt P where 0 d. The most frequetly used bse for epoetil fuctio is the fmous umber e.788... E.: It hs bee foud tht oyge cosumptio

More information

Canonical Form and Separability of PPT States on Multiple Quantum Spaces

Canonical Form and Separability of PPT States on Multiple Quantum Spaces Coicl Form d Seprbility of PPT Sttes o Multiple Qutum Spces Xio-Hog Wg d Sho-Mig Fei, 2 rxiv:qut-ph/050445v 20 Apr 2005 Deprtmet of Mthemtics, Cpitl Norml Uiversity, Beijig, Chi 2 Istitute of Applied Mthemtics,

More information

Toeplitz and Translation Operators on the q-fock Spaces *

Toeplitz and Translation Operators on the q-fock Spaces * Advces i Pure Mthemtics 35-333 doi:436/pm659 Published Olie November (http://wwwscirporg/jourl/pm) Toeplit d Trsltio Opertors o the -Foc Spces * Abstrct Fethi Solti Higher College o Techology d Iormtics

More information

Mathematical Notations and Symbols xi. Contents: 1. Symbols. 2. Functions. 3. Set Notations. 4. Vectors and Matrices. 5. Constants and Numbers

Mathematical Notations and Symbols xi. Contents: 1. Symbols. 2. Functions. 3. Set Notations. 4. Vectors and Matrices. 5. Constants and Numbers Mthemticl Nottios d Symbols i MATHEMATICAL NOTATIONS AND SYMBOLS Cotets:. Symbols. Fuctios 3. Set Nottios 4. Vectors d Mtrices 5. Costts d Numbers ii Mthemticl Nottios d Symbols SYMBOLS = {,,3,... } set

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

9.5. Alternating series. Absolute convergence and conditional convergence

9.5. Alternating series. Absolute convergence and conditional convergence Chpter 9: Ifiite Series I this Chpter we will be studyig ifiite series, which is just other me for ifiite sums. You hve studied some of these i the pst whe you looked t ifiite geometric sums of the form:

More information

Variational Iteration Method for Solving Volterra and Fredholm Integral Equations of the Second Kind

Variational Iteration Method for Solving Volterra and Fredholm Integral Equations of the Second Kind Ge. Mth. Notes, Vol. 2, No. 1, Jury 211, pp. 143-148 ISSN 2219-7184; Copyright ICSRS Publictio, 211 www.i-csrs.org Avilble free olie t http://www.gem.i Vritiol Itertio Method for Solvig Volterr d Fredholm

More information

Discrete Mathematics I Tutorial 12

Discrete Mathematics I Tutorial 12 Discrete Mthemtics I Tutoril Refer to Chpter 4., 4., 4.4. For ech of these sequeces fid recurrece reltio stisfied by this sequece. (The swers re ot uique becuse there re ifiitely my differet recurrece

More information

Repeated Root and Common Root

Repeated Root and Common Root Repeted Root d Commo Root 1 (Method 1) Let α, β, γ e the roots of p(x) x + x + 0 (1) The α + β + γ 0, αβ + βγ + γα, αβγ - () (α - β) (α + β) - αβ (α + β) [ (βγ + γα)] + [(α + β) + γ (α + β)] +γ (α + β)

More information

Lesson 4 Linear Algebra

Lesson 4 Linear Algebra Lesso Lier Algebr A fmily of vectors is lierly idepedet if oe of them c be writte s lier combitio of fiitely my other vectors i the collectio. Cosider m lierly idepedet equtios i ukows:, +, +... +, +,

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

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

MAT641- Numerical Analysis (Master course) D. Samy MZIOU

MAT641- Numerical Analysis (Master course) D. Samy MZIOU Syllbus: MAT64- Numericl Alysis Mster course - - - D. Smy MZIOU Review: Clculus lier Algebr Numericl Alysis MATLAB sotwre will be used itesively i this course There will be regulr homewor ssigmets, usully

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

Pre-Calculus - Chapter 3 Sections Notes

Pre-Calculus - Chapter 3 Sections Notes Pre-Clculus - Chpter 3 Sectios 3.1-3.4- Notes Properties o Epoets (Review) 1. ( )( ) = + 2. ( ) =, (c) = 3. 0 = 1 4. - = 1/( ) 5. 6. c Epoetil Fuctios (Sectio 3.1) Deiitio o Epoetil Fuctios The uctio deied

More information

Multiplicative Versions of Infinitesimal Calculus

Multiplicative Versions of Infinitesimal Calculus Multiplictive Versios o Iiitesiml Clculus Wht hppes whe you replce the summtio o stdrd itegrl clculus with multiplictio? Compre the revited deiitio o stdrd itegrl D å ( ) lim ( ) D i With ( ) lim ( ) D

More information

Math 3B Midterm Review

Math 3B Midterm Review Mth 3B Midterm Review Writte by Victori Kl vtkl@mth.ucsb.edu SH 643u Office Hours: R 11:00 m - 1:00 pm Lst updted /15/015 Here re some short otes o Sectios 7.1-7.8 i your ebook. The best idictio of wht

More information

Double Sums of Binomial Coefficients

Double Sums of Binomial Coefficients Itertiol Mthemticl Forum, 3, 008, o. 3, 50-5 Double Sums of Biomil Coefficiets Athoy Sofo School of Computer Sciece d Mthemtics Victori Uiversity, PO Box 448 Melboure, VIC 800, Austrli thoy.sofo@vu.edu.u

More information

MATRIX ALGEBRA, Systems Linear Equations

MATRIX ALGEBRA, Systems Linear Equations MATRIX ALGEBRA, Systes Lier Equtios Now we chge to the LINEAR ALGEBRA perspective o vectors d trices to reforulte systes of lier equtios. If you fid the discussio i ters of geerl d gets lost i geerlity,

More information