Math 102. Rumbos Spring Solutions to Assignment #8. Solution: The matrix, A, corresponding to the system in (1) is

Size: px
Start display at page:

Download "Math 102. Rumbos Spring Solutions to Assignment #8. Solution: The matrix, A, corresponding to the system in (1) is"

Transcription

1 Math 12. Rumbos Spring Solutions to Assignmnt #8 1. Construct a fundamntal matrix for th systm { ẋ 2y ẏ x + y. (1 Solution: Th matrix, A, corrsponding to th systm in (1 is 2 A. (2 1 1 Th charactristic polynomial of th matrix A in (2 is which factors into p A (λ λ 2 λ 2, p A (λ (λ + 1(λ 2 so that, λ 1 1 and λ 2 2 ar th ignvalus of A. Nxt, w comput th corrsponding ignspacs. For λ 1 1, w solv th homognous systm Th augmntd matrix form of th systm in (3 is 1 2, 1 2 which rducs to 1 2 (A λ 1 Iv. (3 so that, th systm in (3, with λ 1 1, is quivalnt to th quation x 1 + 2x 2, which can b solvd to yild th span of th vctor 2 v 1 1 (4 as its solution spac.

2 Math 12. Rumbos Spring Nxt, w find an ignvctor, v 2, corrsponding to λ 2 2 by solving th homognous systm (A λ 2 Iv, (5 by rducing th augmntd matrix ( of th systm in (5 to 1 1 so that, th systm in (5, with λ 2 2, is quivalnt to th quation which can b solvd to yild x 1 x 2, v as an ignvctor corrsponding to λ 2 2. St Q [ v 1 that, W st whr v 2 ], whr v1 and v 2 ar givn in (4 and (6, rspctivly so Q ( (7 1 1 J Q 1 AQ, (8 Q , (9 1 2 It follows from (2, (8, (7 and (9 that 1 J. (1 2 Th fundamntal matrix corrsponding to th matrix J in (1 is thn t (t 2t, for all t R. (11 Th fundamntal matrix corrsponding to A is givn by (t Q (tq 1, for all t R,

3 Math 12. Rumbos Spring whr Q, (t and Q 1 ar givn in (7, (11 and (9, rspctivly. W thn obtain that 2 1 t (t 1 1 2t so that, (t ( ( t t 2t 2 2t ( 2 t + 2t 2 t + 2 2t t + 2t t + 2 2t, for all t R. 2. Construct a fundamntal matrix for th systm { ẋ x + 3y ẏ 2x + 6y. (12 Solution: Th matrix, A, corrsponding to th systm in (12 is 1 3 A. ( Th charactristic polynomial of th matrix A in (13 is which factors into p A (λ λ 2 7λ, p A (λ λ(λ 7 so that, λ 1 and λ 2 7 ar th ignvalus of A. Nxt, w comput th corrsponding ignspacs. For λ 1, w solv th homognous systm Th augmntd matrix form of th systm in (14 is 1 3, 2 6 (A λ 1 Iv. (14

4 Math 12. Rumbos Spring which rducs to 1 3 so that, th systm in (14, with λ 1, is quivalnt to th quation x 1 + 3x 2, which can b solvd to yild th span of th vctor 3 v 1 1 (15 as its solution spac. Nxt, w find an ignvctor, v 2, corrsponding to λ 2 7 by solving th homognous systm (A λ 2 Iv, (16 by rducing th augmntd matrix ( of th systm in (16 to 2 1 so that, th systm in (16, with λ 2 7, is quivalnt to th quation which can b solvd to yild 2x 1 x 2, v as an ignvctor corrsponding to λ 2 7. St Q [ v 1 that, W st (17 v 2 ], whr v1 and v 2 ar givn in (16 and (17, rspctivly so Q 3 1. ( J Q 1 AQ, (19

5 Math 12. Rumbos Spring whr Q , (2 1 3 It follows from (13, (18, (19 and (2 that J. (21 7 Th fundamntal matrix corrsponding to th matrix J in (21 is thn 1 (t 7t, for all t R. (22 Th fundamntal matrix corrsponding to A is givn by (t Q (tq 1, for all t R, whr Q, (t and Q 1 ar givn in (18, (22 and (2, rspctivly. W thn obtain that (t 1 2 7t so that, (t t 3 7t ( 6 + 7t t t t, for all t R. 3. Construct a fundamntal matrix for th systm { ẋ 2x + y ẏ x + 4y. (23 Solution: Th matrix, A, corrsponding to th systm in (23 is 2 1 A. (24 1 4

6 Math 12. Rumbos Spring Th charactristic polynomial of th matrix A in (24 is which factors into p A (λ λ 2 6λ + 9, p A (λ (λ 3 2 so that, λ 3 is th only ignvalu of A. Nxt, w comput th ignspac corrsponding to λ 3, by solving th homognous systm (A λiv, (25 with λ 3. Th augmntd matrix form of th systm in (25 is 1 1, 1 1 which rducs to 1 1 so that, th systm in (25, with λ 3, is quivalnt to th quation x 1 x 2, which can b solvd to yild th span of th vctor 1 v 1 1 (26 as its solution spac. Hnc, thr is no basis for R 2 mad up of ignvctors of A thrfor, A is not diagonalizabl. Nxt, w find a solution, v 2, of th nonhomognous systm by rducing th augmntd matrix ( of th systm in (27 to (A λiv v 1, (27

7 Math 12. Rumbos Spring so that, th systm in (27, with λ 3, is quivalnt to th quation which can b solvd to yild x1 t x 2 Taking t in (28 yilds St Q [ v 1 that, Nxt, st whr x 1 x 2 1, v 2 1, for t R. (28 1. (29 v 2 ], whr v1 and v 2 ar givn in (26 and (29, rspctivly so Q 1 1. (3 1 J Q 1 AQ, (31 Q 1 1. ( It follows from (24, (31, (3 and (32 that 3 1 J. (33 3 Th fundamntal matrix, (t, corrsponding to th matrix J in (33 is givn by 3t t (t 3t 3t, for all t R. (34 Th fundamntal matrix corrsponding to th matrix A in (24 is thn givn by (t Q (tq 1, for all t R, whr Q, (t and Q 1 ar givn in (3, (34 and (32, rspctivly. W thn obtain that 1 1 3t t (t 3t 1 1 3t 1 1 ( ( t 3t 3t + t 3t 3t 3t

8 Math 12. Rumbos Spring so that, (t t t + 3t t 3t t 3t 3t + t 3t, for all t R. 4. Lt dnot th fundamntal matrix of th two dimnsional linar systm (ẋ x A, (35 ẏ y whr A is a 2 2 matrix with ral ntris. Show that is invrtibl and [ (t] 1 ( t, for all t R. (36 Solution: Any 2 2 matrix, A is similar to on of th matrics λ1 J, (37 λ 2 or or J λ 1, (38 λ α β J. (39 β α That is, thr xists and invrtibl 2 2 matrix, Q, such that Q 1 AQ J, (4 whr J is in on of th standard forms in (37, or(38, or (39. To ach of th matrics, J, in (37, or(38, or (39, thr corrsponds a fundamntal matrix, (t, givn by λ 1 t (t λ 2t, for t R, (41 or λt t (t λt λt, for t R, (42

9 Math 12. Rumbos Spring or rspctivly. (t αt cos βt αt sin βt αt sin βt αt, for t R, (43 cos βt Th fundamntal matrix corrsponding to th systm in (35 is thn givn by (t Q (tq 1, (44 whr J is on of th matrics in (37, or (38, or (39, that is similar to A by mans of th quation in (4. In ordr to stablish th rsult in (36, w will first show that it is tru for th fundamntal matrics, (t, in ach of th thr cass in (41, (42 and (43 that is, w will first show that [ (t] 1 ( t, for all t R, (45 for ach of th thr cass in (41 or (42 or (43. For th cas in which (t is givn by (41, w comput [ (t] 1 λ 1 t λ 2t ( λ 1 ( t ( t, for all t R and so (45 is vrifid in this cas. λ 2( t For th cas in which (t is givn by (42, w comput [ (t] 1 1 λt t λt 2λt λt λt t λt λt λ( t ( t λ( t ( t, λ( t

10 Math 12. Rumbos Spring for all t R and so (45 is vrifid in this cas. For th cas in which (t is givn by (42, w comput [ (t] 1 1 αt cos βt αt sin βt 2αt αt sin βt αt cos βt ( αt cos( βt αt sin( βt αt sin( βt αt cos( βt ( α( t cos(β( t α( t sin(β( t α( t sin(β( t α( t cos(β( t ( t, for all t R and so (45 is vrifid in this cas. Finally, us (44 and (45 to comput [ (t] 1 [Q (tq 1 ] 1 [Q 1 ] 1 [ (t] 1 Q 1 Q ( tq 1 ( t for all t R and so (36 is provd. 5. Lt A and b as in Problm 4. Show that (t + τ (t (τ, for all t, τ R. (46 Solution: W procd as in th solution of Problm 4 by vrifying first that (t + τ (t (τ, for all t, τ R, (47 for ach of th cass in (41, (42 and (43.

11 Math 12. Rumbos Spring For th cas in which (t is givn by (41, w comput λ 1 (t+τ (t + τ λ 2(t+τ ( λ 1 t λ 1τ λ2t λ 2τ λ 1 t λ 1 τ λ 2t λ 2τ (t (τ, for all t R and so (47 is vrifid in this cas. For th cas in which (t is givn by (42, w comput λ(t+τ (t + τ (t + τ λ(t+τ λ(t+τ λt λτ t λt λτ + τ λt λτ λt λτ λt t λt λτ τ λτ λt (t (τ, for all t R and so (47 is vrifid in this cas. λτ For th cas in which (t is givn by (43, w comput (t + τ α(t+τ cos β(t + τ α(t+τ sin β(t + τ α(t+τ sin β(t + τ α(t+τ cos β(t + τ cos β(t + τ sin β(t + τ αt ατ sin β(t + τ cos β(t + τ cos βt cos βτ sin βt sin βτ sin βt cos βτ cos βt sin βτ αt ατ, sin βt cos βτ + cos βt sin βτ cos βt cos βτ sin βt sin βτ whr w hav usd th trigonomtric idntitis cos(θ + ψ cos θ cos ψ sin θ sin ψ

12 Math 12. Rumbos Spring and sin(θ + ψ sin θ cos ψ + cos θ sin ψ. W thn hav that (t + τ cos βt sin βt cos βτ sin βτ αt ατ sin βt cos βt sin βτ cos βτ ( cos βt sin βt cos βτ αt sin βt cos βt ατ sin βτ (t (τ, for all t R and so (47 is vrifid in this cas. W now us th xprssion for in (44, and (47 to comput (t + τ Q (t + τq 1 Q (t (τq 1 Q (tq 1 Q (τq 1 (t (τ, sin βτ cos βτ for all t and τ in R, which stablishs (46.

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

MA 262, Spring 2018, Final exam Version 01 (Green)

MA 262, Spring 2018, Final exam Version 01 (Green) MA 262, Spring 218, Final xam Vrsion 1 (Grn) INSTRUCTIONS 1. Switch off your phon upon ntring th xam room. 2. Do not opn th xam booklt until you ar instructd to do so. 3. Bfor you opn th booklt, fill in

More information

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0 unction Spacs Prrquisit: Sction 4.7, Coordinatization n this sction, w apply th tchniqus of Chaptr 4 to vctor spacs whos lmnts ar functions. Th vctor spacs P n and P ar familiar xampls of such spacs. Othr

More information

That is, we start with a general matrix: And end with a simpler matrix:

That is, we start with a general matrix: And end with a simpler matrix: DIAGON ALIZATION OF THE STR ESS TEN SOR INTRO DUCTIO N By th us of Cauchy s thorm w ar abl to rduc th numbr of strss componnts in th strss tnsor to only nin valus. An additional simplification of th strss

More information

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1). Eamn EDO. Givn th family of curvs y + C nd th particular orthogonal trajctory from th family of orthogonal trajctoris passing through point (0; ). Solution: In th rst plac, lt us calculat th di rntial

More information

Engineering Mathematics I. MCQ for Phase-I

Engineering Mathematics I. MCQ for Phase-I [ASK/EM-I/MCQ] August 30, 0 UNIT: I MATRICES Enginring Mathmatics I MCQ for Phas-I. Th rank of th matri A = 4 0. Th valu of λ for which th matri A = will b of rank on is λ = -3 λ = 3 λ = λ = - 3. For what

More information

[1] (20 points) Find the general solutions of y y 2y = sin(t) + e t. Solution: y(t) = y c (t) + y p (t). Complementary Solutions: y

[1] (20 points) Find the general solutions of y y 2y = sin(t) + e t. Solution: y(t) = y c (t) + y p (t). Complementary Solutions: y [] (2 points) Find th gnral solutions of y y 2y = sin(t) + t. y(t) = y c (t) + y p (t). Complmntary Solutions: y c y c 2y c =. = λ 2 λ 2 = (λ + )(λ 2), λ =, λ 2 = 2 y c = C t + C 2 2t. A Particular Solution

More information

Exercise 1. Sketch the graph of the following function. (x 2

Exercise 1. Sketch the graph of the following function. (x 2 Writtn tst: Fbruary 9th, 06 Exrcis. Sktch th graph of th following function fx = x + x, spcifying: domain, possibl asymptots, monotonicity, continuity, local and global maxima or minima, and non-drivability

More information

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations MATH 39, WEEK 5: Th Fundamntal Matrix, Non-Homognous Systms of Diffrntial Equations Fundamntal Matrics Considr th problm of dtrmining th particular solution for an nsmbl of initial conditions For instanc,

More information

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let It is impossibl to dsign an IIR transfr function with an xact linar-phas It is always possibl to dsign an FIR transfr function with an xact linar-phas rspons W now dvlop th forms of th linarphas FIR transfr

More information

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B. 7636S ADVANCED QUANTUM MECHANICS Solutions Spring. Considr a thr dimnsional kt spac. If a crtain st of orthonormal kts, say, and 3 ar usd as th bas kts, thn th oprators A and B ar rprsntd by a b A a and

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

Chapter 10. The singular integral Introducing S(n) and J(n)

Chapter 10. The singular integral Introducing S(n) and J(n) Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

Southern Taiwan University

Southern Taiwan University Chaptr Ordinar Diffrntial Equations of th First Ordr and First Dgr Gnral form:., d +, d 0.a. f,.b I. Sparabl Diffrntial quations Form: d + d 0 C d d E 9 + 4 0 Solution: 9d + 4d 0 9 + 4 C E + d Solution:

More information

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers:

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers: APPM 6 Final 5 pts) Spring 4. 6 pts total) Th following parts ar not rlatd, justify your answrs: a) Considr th curv rprsntd by th paramtric quations, t and y t + for t. i) 6 pts) Writ down th corrsponding

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

ECE 650 1/8. Homework Set 4 - Solutions

ECE 650 1/8. Homework Set 4 - Solutions ECE 65 /8 Homwork St - Solutions. (Stark & Woods #.) X: zro-man, C X Find G such that Y = GX will b lt. whit. (Will us: G = -/ E T ) Finding -valus for CX: dt = (-) (-) = Finding corrsponding -vctors for

More information

Homogeneous Constant Matrix Systems, Part I

Homogeneous Constant Matrix Systems, Part I 39 Homognous Constant Matrix Systms, Part I Finally, w can start discussing mthods for solving a vry important class of diffrntial quation systms of diffrntial quations: homognous constant matrix systms

More information

There is an arbitrary overall complex phase that could be added to A, but since this makes no difference we set it to zero and choose A real.

There is an arbitrary overall complex phase that could be added to A, but since this makes no difference we set it to zero and choose A real. Midtrm #, Physics 37A, Spring 07. Writ your rsponss blow or on xtra pags. Show your work, and tak car to xplain what you ar doing; partial crdit will b givn for incomplt answrs that dmonstrat som concptual

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

Division of Mechanics Lund University MULTIBODY DYNAMICS. Examination Name (write in block letters):.

Division of Mechanics Lund University MULTIBODY DYNAMICS. Examination Name (write in block letters):. Division of Mchanics Lund Univrsity MULTIBODY DYNMICS Examination 7033 Nam (writ in block lttrs):. Id.-numbr: Writtn xamination with fiv tasks. Plas chck that all tasks ar includd. clan copy of th solutions

More information

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals. Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby

More information

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation. MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H

More information

INC 693, 481 Dynamics System and Modelling: Linear Graph Modeling II Dr.-Ing. Sudchai Boonto Assistant Professor

INC 693, 481 Dynamics System and Modelling: Linear Graph Modeling II Dr.-Ing. Sudchai Boonto Assistant Professor INC 69, 48 Dynamics Systm and Modlling: Linar Graph Modling II Dr.-Ing. Sudchai Boonto Assistant Profssor Dpartmnt of Control Systm and Instrumntation Enginring King Mongkut s Unnivrsity of Tchnology Thonuri

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

Section 11.6: Directional Derivatives and the Gradient Vector

Section 11.6: Directional Derivatives and the Gradient Vector Sction.6: Dirctional Drivativs and th Gradint Vctor Practic HW rom Stwart Ttbook not to hand in p. 778 # -4 p. 799 # 4-5 7 9 9 35 37 odd Th Dirctional Drivativ Rcall that a b Slop o th tangnt lin to th

More information

cos + i sin = cos + i sin = cos 2π iθ

cos + i sin = cos + i sin = cos 2π iθ Complx numbrs 1C cosθ + sinθ = cosθ + i sin θ 1 a cosθ + sin θ = cos12θ + i sin12θ b 4 c d f 2 a b c d π π π π cos + isin = cos + isin 8 i = + π π 8π 8π 2π 2π cos + isin = cos + isin = cos + isin 1 i =

More information

Quasi-Classical States of the Simple Harmonic Oscillator

Quasi-Classical States of the Simple Harmonic Oscillator Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats

More information

1 Isoparametric Concept

1 Isoparametric Concept UNIVERSITY OF CALIFORNIA BERKELEY Dpartmnt of Civil Enginring Spring 06 Structural Enginring, Mchanics and Matrials Profssor: S. Govindj Nots on D isoparamtric lmnts Isoparamtric Concpt Th isoparamtric

More information

AS 5850 Finite Element Analysis

AS 5850 Finite Element Analysis AS 5850 Finit Elmnt Analysis Two-Dimnsional Linar Elasticity Instructor Prof. IIT Madras Equations of Plan Elasticity - 1 displacmnt fild strain- displacmnt rlations (infinitsimal strain) in matrix form

More information

Prelim Examination 2011 / 2012 (Assessing Units 1 & 2) MATHEMATICS. Advanced Higher Grade. Time allowed - 2 hours

Prelim Examination 2011 / 2012 (Assessing Units 1 & 2) MATHEMATICS. Advanced Higher Grade. Time allowed - 2 hours Prlim Eamination / (Assssing Units & ) MATHEMATICS Advancd Highr Grad Tim allowd - hours Rad Carfull. Calculators ma b usd in this papr.. Candidats should answr all qustions. Full crdit will onl b givn

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

VSMN30 FINITA ELEMENTMETODEN - DUGGA

VSMN30 FINITA ELEMENTMETODEN - DUGGA VSMN3 FINITA ELEMENTMETODEN - DUGGA 1-11-6 kl. 8.-1. Maximum points: 4, Rquird points to pass: Assistanc: CALFEM manual and calculator Problm 1 ( 8p ) 8 7 6 5 y 4 1. m x 1 3 1. m Th isotropic two-dimnsional

More information

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1 Chaptr 11 Th singular sris Rcall that by Thorms 10 and 104 togthr provid us th stimat 9 4 n 2 111 Rn = SnΓ 2 + on2, whr th singular sris Sn was dfind in Chaptr 10 as Sn = q=1 Sq q 9, with Sq = 1 a q gcda,q=1

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases.

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases. Homwork 5 M 373K Solutions Mark Lindbrg and Travis Schdlr 1. Prov that th ring Z/mZ (for m 0) is a fild if and only if m is prim. ( ) Proof by Contrapositiv: Hr, thr ar thr cass for m not prim. m 0: Whn

More information

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL

More information

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018 Propositional Logic Combinatorial Problm Solving (CPS) Albrt Olivras Enric Rodríguz-Carbonll May 17, 2018 Ovrviw of th sssion Dfinition of Propositional Logic Gnral Concpts in Logic Rduction to SAT CNFs

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

Mock Exam 2 Section A

Mock Exam 2 Section A Mock Eam Mock Eam Sction A. Rfrnc: HKDSE Math M Q ( + a) n n n n + C ( a) + C( a) + C ( a) + nn ( ) a nn ( )( n ) a + na + + + 6 na 6... () \ nn ( ) a n( n )( n ) a + 6... () 6 6 From (): a... () n Substituting

More information

Intro to QM due: February 8, 2019 Problem Set 12

Intro to QM due: February 8, 2019 Problem Set 12 Intro to QM du: Fbruary 8, 9 Prob St Prob : Us [ x i, p j ] i δ ij to vrify that th anguar ontu oprators L i jk ɛ ijk x j p k satisfy th coutation rations [ L i, L j ] i k ɛ ijk Lk, [ L i, x j ] i k ɛ

More information

State-space behaviours 2 using eigenvalues

State-space behaviours 2 using eigenvalues 1 Stat-spac bhaviours 2 using ignvalus J A Rossitr Slids by Anthony Rossitr Introduction Th first vido dmonstratd that on can solv 2 x x( ( x(0) Th stat transition matrix Φ( can b computd using Laplac

More information

Self-Adjointness and Its Relationship to Quantum Mechanics. Ronald I. Frank 2016

Self-Adjointness and Its Relationship to Quantum Mechanics. Ronald I. Frank 2016 Ronald I. Frank 06 Adjoint https://n.wikipdia.org/wiki/adjoint In gnral thr is an oprator and a procss that dfin its adjoint *. It is thn slf-adjoint if *. Innr product spac https://n.wikipdia.org/wiki/innr_product_spac

More information

Direct Approach for Discrete Systems One-Dimensional Elements

Direct Approach for Discrete Systems One-Dimensional Elements CONTINUUM & FINITE ELEMENT METHOD Dirct Approach or Discrt Systms On-Dimnsional Elmnts Pro. Song Jin Par Mchanical Enginring, POSTECH Dirct Approach or Discrt Systms Dirct approach has th ollowing aturs:

More information

DARCY S LAW AND DIFFUSION FOR A TWO-FLUID EULER-MAXWELL SYSTEM WITH DISSIPATION

DARCY S LAW AND DIFFUSION FOR A TWO-FLUID EULER-MAXWELL SYSTEM WITH DISSIPATION Mathmatical Modls and Mthods in Applid Scincs c World Scintific Publishing Company DARCY S LAW AND DIFFUSION FOR A TWO-FLUID EULER-MAXWELL SYSTEM WITH DISSIPATION RENJUN DUAN Dpartmnt of Mathmatics, Th

More information

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming CPSC 665 : An Algorithmist s Toolkit Lctur 4 : 21 Jan 2015 Lcturr: Sushant Sachdva Linar Programming Scrib: Rasmus Kyng 1. Introduction An optimization problm rquirs us to find th minimum or maximum) of

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scinc March 15, 005 Srini Dvadas and Eric Lhman Problm St 6 Solutions Du: Monday, March 8 at 9 PM in Room 3-044 Problm 1. Sammy th Shark is a financial srvic providr

More information

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12 Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

1 General boundary conditions in diffusion

1 General boundary conditions in diffusion Gnral boundary conditions in diffusion Πρόβλημα 4.8 : Δίνεται μονοδιάτατη πλάκα πάχους, που το ένα άκρο της κρατιέται ε θερμοκραία T t και το άλλο ε θερμοκραία T 2 t. Αν η αρχική θερμοκραία της πλάκας

More information

10. Limits involving infinity

10. Limits involving infinity . Limits involving infinity It is known from th it ruls for fundamntal arithmtic oprations (+,-,, ) that if two functions hav finit its at a (finit or infinit) point, that is, thy ar convrgnt, th it of

More information

ELECTRON-MUON SCATTERING

ELECTRON-MUON SCATTERING ELECTRON-MUON SCATTERING ABSTRACT Th lctron charg is considrd to b distributd or xtndd in spac. Th diffrntial of th lctron charg is st qual to a function of lctron charg coordinats multiplid by a four-dimnsional

More information

DIFFERENTIAL EQUATION

DIFFERENTIAL EQUATION MD DIFFERENTIAL EQUATION Sllabus : Ordinar diffrntial quations, thir ordr and dgr. Formation of diffrntial quations. Solution of diffrntial quations b th mthod of sparation of variabls, solution of homognous

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

Numerical considerations regarding the simulation of an aircraft in the approaching phase for landing

Numerical considerations regarding the simulation of an aircraft in the approaching phase for landing INCAS BULLETIN, Volum, Numbr 1/ 1 Numrical considrations rgarding th simulation of an aircraft in th approaching phas for landing Ionl Cristinl IORGA ionliorga@yahoo.com Univrsity of Craiova, Alxandru

More information

LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY

LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY LINEAR SYSTEMS OF DIFFERENTIAL EQUATIONS DONE RIGHT KYLE ORMSBY INTRODUCTION TO THE PROBLEM Considr a continous function F : R n R n W will think of F as a vctor fild, and can think of F x as a vlocity

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

Deepak Rajput

Deepak Rajput Q Prov: (a than an infinit point lattic is only capabl of showing,, 4, or 6-fold typ rotational symmtry; (b th Wiss zon law, i.. if [uvw] is a zon axis and (hkl is a fac in th zon, thn hu + kv + lw ; (c

More information

( ) Differential Equations. Unit-7. Exact Differential Equations: M d x + N d y = 0. Verify the condition

( ) Differential Equations. Unit-7. Exact Differential Equations: M d x + N d y = 0. Verify the condition Diffrntial Equations Unit-7 Eat Diffrntial Equations: M d N d 0 Vrif th ondition M N Thn intgrat M d with rspt to as if wr onstants, thn intgrat th trms in N d whih do not ontain trms in and quat sum of

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

Electromagnetic scattering. Graduate Course Electrical Engineering (Communications) 1 st Semester, Sharif University of Technology

Electromagnetic scattering. Graduate Course Electrical Engineering (Communications) 1 st Semester, Sharif University of Technology Elctromagntic scattring Graduat Cours Elctrical Enginring (Communications) 1 st Smstr, 1388-1389 Sharif Univrsity of Tchnology Contnts of lctur 8 Contnts of lctur 8: Scattring from small dilctric objcts

More information

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS

VTU NOTES QUESTION PAPERS NEWS RESULTS FORUMS Diffrntial Equations Unit-7 Eat Diffrntial Equations: M d N d 0 Vrif th ondition M N Thn intgrat M d with rspt to as if wr onstants, thn intgrat th trms in N d whih do not ontain trms in and quat sum of

More information

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the Copyright itutcom 005 Fr download & print from wwwitutcom Do not rproduc by othr mans Functions and graphs Powr functions Th graph of n y, for n Q (st of rational numbrs) y is a straight lin through th

More information

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2 BSc Enginring Scincs A. Y. 27/8 Writtn xam of th cours Mathmatical Analysis 2 August, 28. Givn th powr sris + n + n 2 x n, n n dtrmin its radius of convrgnc r, and study th convrgnc for x ±r. By th root

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

MATHEMATICS (B) 2 log (D) ( 1) = where z =

MATHEMATICS (B) 2 log (D) ( 1) = where z = MATHEMATICS SECTION- I STRAIGHT OBJECTIVE TYPE This sction contains 9 multipl choic qustions numbrd to 9. Each qustion has choic (A), (B), (C) and (D), out of which ONLY-ONE is corrct. Lt I d + +, J +

More information

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS Intrnational Journal Of Advanc Rsarch In Scinc And Enginring http://www.ijars.com IJARSE, Vol. No., Issu No., Fbruary, 013 ISSN-319-8354(E) PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS 1 Dharmndra

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS

REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS REPRESENTATIONS OF LIE GROUPS AND LIE ALGEBRAS JIAQI JIANG Abstract. This papr studis th rlationship btwn rprsntations of a Li group and rprsntations of its Li algbra. W will mak th corrspondnc in two

More information

The Open Economy in the Short Run

The Open Economy in the Short Run Economics 442 Mnzi D. Chinn Spring 208 Social Scincs 748 Univrsity of Wisconsin-Madison Th Opn Economy in th Short Run This st of nots outlins th IS-LM modl of th opn conomy. First, it covrs an accounting

More information

ENGR 323 BHW 15 Van Bonn 1/7

ENGR 323 BHW 15 Van Bonn 1/7 ENGR 33 BHW 5 Van Bonn /7 4.4 In Eriss and 3 as wll as man othr situations on has th PDF o X and wishs th PDF o Yh. Assum that h is an invrtibl untion so that h an b solvd or to ild. Thn it an b shown

More information

Objective Mathematics

Objective Mathematics x. Lt 'P' b a point on th curv y and tangnt x drawn at P to th curv has gratst slop in magnitud, thn point 'P' is,, (0, 0),. Th quation of common tangnt to th curvs y = 6 x x and xy = x + is : x y = 8

More information

perm4 A cnt 0 for for if A i 1 A i cnt cnt 1 cnt i j. j k. k l. i k. j l. i l

perm4 A cnt 0 for for if A i 1 A i cnt cnt 1 cnt i j. j k. k l. i k. j l. i l h 4D, 4th Rank, Antisytric nsor and th 4D Equivalnt to th Cross Product or Mor Fun with nsors!!! Richard R Shiffan Digital Graphics Assoc 8 Dunkirk Av LA, Ca 95 rrs@isidu his docunt dscribs th four dinsional

More information

arxiv: v2 [math.sg] 18 Jul 2016

arxiv: v2 [math.sg] 18 Jul 2016 arxiv:1207.1477v2 [math.sg] 18 Jul 2016 Bohr-Sommrfld-Hisnbrg Quantization of th 2-dimnsional Harmonic Oscillator Richard Cushman and Jędrzj Śniatycki Abstract W study gomtric quantization of th harmonic

More information

Week 3: Connected Subgraphs

Week 3: Connected Subgraphs Wk 3: Connctd Subgraphs Sptmbr 19, 2016 1 Connctd Graphs Path, Distanc: A path from a vrtx x to a vrtx y in a graph G is rfrrd to an xy-path. Lt X, Y V (G). An (X, Y )-path is an xy-path with x X and y

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN Intrnational Journal of Scintific & Enginring Rsarch, Volum 6, Issu 7, July-25 64 ISSN 2229-558 HARATERISTIS OF EDGE UTSET MATRIX OF PETERSON GRAPH WITH ALGEBRAI GRAPH THEORY Dr. G. Nirmala M. Murugan

More information

Another view for a posteriori error estimates for variational inequalities of the second kind

Another view for a posteriori error estimates for variational inequalities of the second kind Accptd by Applid Numrical Mathmatics in July 2013 Anothr viw for a postriori rror stimats for variational inqualitis of th scond kind Fi Wang 1 and Wimin Han 2 Abstract. In this papr, w giv anothr viw

More information

EXST Regression Techniques Page 1

EXST Regression Techniques Page 1 EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy

More information

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM Jim Brown Dpartmnt of Mathmatical Scincs, Clmson Univrsity, Clmson, SC 9634, USA jimlb@g.clmson.du Robrt Cass Dpartmnt of Mathmatics,

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x) Chptr 7 INTEGRALS 7. Ovrviw 7.. Lt d d F () f (). Thn, w writ f ( ) d F () + C. Ths intgrls r clld indfinit intgrls or gnrl intgrls, C is clld constnt of intgrtion. All ths intgrls diffr y constnt. 7..

More information

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK Data Assimilation 1 Alan O Nill National Cntr for Earth Obsrvation UK Plan Motivation & basic idas Univariat (scalar) data assimilation Multivariat (vctor) data assimilation 3d-Variational Mthod (& optimal

More information

SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH.

SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH. SOME PARAMETERS ON EQUITABLE COLORING OF PRISM AND CIRCULANT GRAPH. K VASUDEVAN, K. SWATHY AND K. MANIKANDAN 1 Dpartmnt of Mathmatics, Prsidncy Collg, Chnnai-05, India. E-Mail:vasu k dvan@yahoo.com. 2,

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

Solution of Assignment #2

Solution of Assignment #2 olution of Assignmnt #2 Instructor: Alirza imchi Qustion #: For simplicity, assum that th distribution function of T is continuous. Th distribution function of R is: F R ( r = P( R r = P( log ( T r = P(log

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Homework #3. 1 x. dx. It therefore follows that a sum of the

Homework #3. 1 x. dx. It therefore follows that a sum of the Danil Cannon CS 62 / Luan March 5, 2009 Homwork # 1. Th natural logarithm is dfind by ln n = n 1 dx. It thrfor follows that a sum of th 1 x sam addnd ovr th sam intrval should b both asymptotically uppr-

More information

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation Diffrnc -Analytical Mthod of Th On-Dimnsional Convction-Diffusion Equation Dalabav Umurdin Dpartmnt mathmatic modlling, Univrsity of orld Economy and Diplomacy, Uzbistan Abstract. An analytical diffrncing

More information

INTEGRATION BY PARTS

INTEGRATION BY PARTS Mathmatics Rvision Guids Intgration by Parts Pag of 7 MK HOME TUITION Mathmatics Rvision Guids Lvl: AS / A Lvl AQA : C Edcl: C OCR: C OCR MEI: C INTEGRATION BY PARTS Vrsion : Dat: --5 Eampls - 6 ar copyrightd

More information

Fourth Part: The Interplay of Algebra and Logic

Fourth Part: The Interplay of Algebra and Logic Fourth Part: Th Intrplay of Algbra and Logic Francsco Paoli TACL 2013 Francsco Paoli (Univ. of Cagliari) Tutorial on algbraic logic TACL 2013 1 / 18 Adissibility of cut Cut liination, in proof-thortic

More information

Introduction to the Fourier transform. Computer Vision & Digital Image Processing. The Fourier transform (continued) The Fourier transform (continued)

Introduction to the Fourier transform. Computer Vision & Digital Image Processing. The Fourier transform (continued) The Fourier transform (continued) Introduction to th Fourir transform Computr Vision & Digital Imag Procssing Fourir Transform Lt f(x) b a continuous function of a ral variabl x Th Fourir transform of f(x), dnotd by I {f(x)} is givn by:

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Platonic Orthonormal Wavelets 1

Platonic Orthonormal Wavelets 1 APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS 4, 351 35 (1997) ARTICLE NO. HA9701 Platonic Orthonormal Wavlts 1 Murad Özaydin and Tomasz Przbinda Dpartmnt of Mathmatics, Univrsity of Oklahoma, Norman, Oklahoma

More information