A note on proper curvature collineations in Bianchi types VI

Size: px
Start display at page:

Download "A note on proper curvature collineations in Bianchi types VI"

Transcription

1 note on roer curvture collinetions in inci tyes VI nd VII sce-times Gulm Sbbir nd mjd li Fculty o Engineering Sciences GIK Institute o Engineering Sciences nd Tecnology Toi Swbi NWFP Pkistn Emil: sbbir@gikieduk bstrct We study roer curvture collinetions in te most generl orm o te inci tyes VI nd VII sce-times using te rnk o te 6 6 iemnn mtrix nd direct integrtion tecnique It is sown tt wen te bove sce-times dmit roer curvture collinetions tey orm n ininite dimensionl vector sce INTODUTION Te im o tis er is to ind te existence o roer curvture collinetions in te inci tyes VI nd VII sce-times Since te curvture tensor is n imortnt in dierentil geometry nd generl reltivity Hence te study o its symmetries is imortnt Dierent roces [-] were doted to study curvture collinetions Trougout M reresents our dimensionl connected Husdor sce-time mniold wit Lorent metric g o signture (- ) Te curvture tensor ssocited wit g b troug te Levi-ivit connection is denoted in comonent orm by bcd Te usul covrint rtil nd Lie derivtives re denoted by semicolon comm nd te symbol L resectively ound nd squre brckets denote te usul symmetrition nd skew-symmetrition resectively Here M is ssumed non-lt in te sense tt te curvture tensor does not vnis over ny nonemty oen subset o M ny vector ield on M cn be decomosed s ; b b Gb ()

2 were ( ) L g is symmetric nd G G ) is skew symmetric tensor on M b b b b ( b I b; c is sid to be ine nd urter stisies b cg b c ten is sid to be omotetic (nd Killing i c ) Te vector ield is sid to be roer ine i it is not omotetic vector ield nd lso is sid to be roer omotetic vector ield i it is not Killing vector ield vector ield on M is clled curvture collinetion () i it stisies [] or equivlently L bcd () e e e e bcd ; e ecd ; b bed ; c bce ; d e bcd ; e Te vector ield is sid to be roer i it is not ine [] on M LSSIFITION OF THE IEMNN TENSOS In tis section we will clssiy te iemnn tensor in terms o its rnk nd bivector decomosition Te rnk o te iemnn tensor is te rnk o te 6 6 symmetric mtrix derived in well known wy [] Te rnk o te iemnn tensor t is te rnk o te liner m wic b cd ms te vector sce o ll bivectors G t to itsel nd is deined by : G b cdg Deine te subsce N o te tngent sce T M consisting o tose members k o T M wic stisy te reltion () d bcd k Ten te iemnn tensor t stisies exctly one o te ollowing lgebric conditions [] lss Te rnk is nd te rnge o is snned by te dul ir o non-null simle bivectors nd dim N Te iemnn tensor t tkes te orm bcd b cd * b * G G β G G () cd were G nd its dul G * re te (unique u to scling) simle non-null scelike nd timelike bivectors in te rnge o resectively nd β

3 lss Te rnk is or nd tere exists unique (u to scling) solution sy k o () (nd so dim N ) Te iemnn tensor t tkes te orm bcd i b j ij G G cd () i j b were ij or ll i j nd G i bk or ec o te bivectors i G wic sn te rnge o lss D Here te rnk o te curvture mtrix is Te rnge o te m is snned by single bivector G sy wic s to be simle becuse te symmetry o iemnn tensor [ bcd ] mens G G Ten it ollows rom stndrd result tt G is simle Te curvture [ b cd ] tensor dmits exctly two indeendent solutions k u o eqution () so tt dim N Te iemnn tensor t tkes te orm G G (6) bcd b cd were nd G is simle bivector wit blde ortogonl to k nd u lss O Te rnk o te curvture mtrix is (so tt ) nd dim N lss Te iemnn tensor is sid to be o clss t i it is not o clss D or O Here lwys dim N study o te S or te clsses D nd O cn be ound in [ ] bcd Min esults onsider inci tyes VI nd VII sce-times in usul coordinte system ( t x y ) (lbeled by ( x x x x ) resectively) wit line element [] ds dt ( ( ) ( )) dx ( ) ( ) ( ) ( ) ( ) dx dy ( t ) d dy ()

4 were nd re nowere ero unctions o t only For sin cos or sin cos te bove sce-time () becomes inci tye VI or VII resectively Te bove sce-time dmits tree linerly indeendent Killing vector ields wic re y x x y y x () Te non-ero comonents o te iemnn tensor re [] [ ] [ ] [ ] [ ] { } { } [ ] [ ] { } { } [ ] 6 9 Writing te curvture tensor wit comonents bcd t s 6 6 symmetric mtrix bcd (9)

5 It is imortnt to note tt we will consider te iemnn tensor comonents s bcd or clculte S Since we know rom teorem [] tt wen te rnk o te 6 6 iemnn mtrix is greter tn tree tere exists no roer Hence we will consider only tose cses were te rnk o te 6 6 iemnn mtrix is less tn or equl to tree Tere exist six iteen nd twenty cses wen te rnk o te 6 6 iemnn mtrix is one two nd tree resectively ie we ve ltogeter orty one cses wen te rnk o te 6 6 iemnn mtrix is less tn or equl to tree were roer my exist Suose te rnk o te bove 6 6 iemnn mtrix (9) is one Ten tere is only one non ero row or column in (9) I we set ive rows or columns re identiclly ero in (9) ten tere exist six ossibilities wen te rnk o te 6 6 iemnn mtrix is one In tese six ossibilities ive give te contrdiction nd only one will rise wic is given in cse (II) For exmle consider te cse wen te rnk o te 6 6 iemnn mtrix is one ie nd 6 9 Te constrints wic gives contrdiction (ere we ssume tt ) Hence tis is not ossible Now suose rnk o te bove 6 6 iemnn mtrix (9) is two Ten tere is only two non ero row or column in (9) I we set our rows or columns re identiclly ero in (9) ten tere exist iteen ossibilities wen te rnk o te 6 6 iemnn mtrix is two I one roceed urter ter some lengty clcultion one inds tt non o te bove iteen cses or rnk two exists y similr nlysis we come to te conclusion tt tere exist only two cses wen te rnk o te 6 6 iemnn mtrix is tree or less wic re (I) nk nd 9 6 (II) nk nd 6 9 We will consider ec cse in turn se (I): In tis cse we ve 6 9 te rnk o te 6 6 iemnn mtrix is tree nd tere exists unique (u to multile) no were ero time like vector ield solution o eqution () nd t ; t t ( t) e( t) From te bove constrints we ve ( t) d ( t) b d e ( d e > ) Te line element in tis cse tkes te orm nd ( t) ( t b) b were

6 ( ) ( ) e ( ) dx d dy ds dt ( t b ) () ( d ) ( ) ( ) dx dy e d Substituting te bove inormtion into te S equtions one ind tt [] () () () ( ) ( ) ( ) () () (6) () Eqution () gives K() t F ( x y) F ( x y) n rbitrry unction o t only nd ( x y) nd F F F ( x y) nd F I one roceeds urter one ind tt curvture collinetions in tis cse [] re () t c y c c x c c K were ( t) K is re unctions o integrtion () were c c c One cn write te bove eqution () subtrcting Killing vector ields s ( K() t ) (9) Proer curvture collinetion in tis cse clerly orm n ininite dimensionl vector sce It is imortnt to note tt te constnts nd b cn not be ero simultneously se (II): In tis cse we ve nd 6 9 te rnk o te 6 6 iemnn mtrix is one Here tere exist two liner indeendent solutions nd o eqution () Te vector ield t is covrintly constnt weres is t t not covrintly constnt From te bove constrints we ve ( t) ( t) ( t) ( t q) were q Te line element tkes te orm ( ) ( ) ( ) dx dy ds dt ( t q ) () ( ) ( ) dx dy d urvture collinetions in tis cse [] 6

7 were ( t ) c y c c x c c N () c c c nd N ( t ) is n rbitrry unction o t nd One cn write te bove eqution () subtrcting Killing vector ields s ( N( t ) ) () Proer curvture collinetion in tis cse clerly orm n ininite dimensionl vector sce SUMMY In tis er n ttemt is mde to exlore ll te ossibilities wen te inci tyes VI nd VII sce-times dmit roer S n roc is doted to study roer S o te bove sce-times by using te rnk o te 6 6 iemnn mtrix nd lso using te teorem given in [] wic suggested were roer curvture collinetions exist From te bove study we obtin te ollowing results: (i) We obtin te sce-time () tt dmits roer curvture collinetions wen te rnk o te 6 6 iemnn mtrix is tree nd tere exists unique nowere ero indeendent timelike vector ield wic is te solution o eqution () nd is not covrintly constnt In tis cse roer curvture collinetions orm n ininite dimensionl vector sce (or detils see cse I) (ii) Te sce-time () is obtined wic dmits roer curvture collinetions (see cse II) wen te rnk o te 6 6 iemnn mtrix is one nd tere exist two indeendent solutions o eqution () but only one indeendent covrintly constnt vector ield In tis cse roer curvture collinetions orm n ininite dimensionl vector sce eerences [] G H Ktin J Levine nd W Dvis J Mt Pys (969) 6 [] G Sbbir mjd li nd M mn Grvittion nd osmology 6 () 6 [] G Sbbir nd mjd li dv Studies Teor Pys () [] G S Hll nd J d ost J Mt Pys (99) [] G S Hll Symmetries nd urvture Structure in Generl eltivity World Scientiic

8 [6] G Sbbir Grvittion nd osmology 9 () 9 [] G Sbbir Nuovo imento () [] G S Hll nd G Sbbir lssicl Quntum Grvity () 9 [9] G S Hll Gen el Grv (9) [] H okri Qdir M S med nd M sgr J Mt Pys (99) 69 [] Tello-Llnos Gen el Grv (9) 6 [] J rot nd J d ost Gen el Grv (99) [] G S Hll lssicl Quntum Grvity (6) [] G S Hll nd Lucy McNy lssicl Quntum Grvity () 9 [] H okri M sgr M S med K sid nd G Sbbir Nuovo imento (99) 9 [6] G Sbbir H okri nd Ksi Nuovo imento () [] G S Hll nd G Sbbir Grvittion osmology 9 () [] G Sbbir Nuovo imento 9 () [9] G Sbbir Nuovo imento (6) 9 [] G Sbbir nd bu kr Memood Modern Pysics Letters () [] G Sbbir nd M mn Interntionl journl o Modern Pysics () 9 [] mjd li P D Tesis GIK Institute Pkistn 9 [] H Steni D Krmer M H Mcllum Hoenselers nd E Herlt Exct Solutions o Einstein s Field Equtions mbridge University Press

PROPER CURVATURE COLLINEATIONS IN SPECIAL NON STATIC AXIALLY SYMMETRIC SPACE-TIMES

PROPER CURVATURE COLLINEATIONS IN SPECIAL NON STATIC AXIALLY SYMMETRIC SPACE-TIMES POPE CUVATUE COLLINEATIONS IN SPECIAL NON STATIC AXIALLY SYMMETIC SPACE-TIMES GHULAM SHABBI, M. AMZAN Fculty of Engineeing Sciences, GIK Institute of Engineeing Sciences nd Technology, Toi, Swbi, NWFP,

More information

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines Mt 2C Multivrible Clculus Lecture 5 1 Lines nd plnes Slide 1 Equtions of lines (Vector, prmetric, nd symmetric eqs.). Equtions of plnes. Distnce from point to plne. Equtions of lines Slide 2 Definition

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journl o Inequlities in Pure nd Applied Mthemtics http://jipm.vu.edu.u/ Volume 6, Issue 4, Article 6, 2005 MROMORPHIC UNCTION THAT SHARS ON SMALL UNCTION WITH ITS DRIVATIV QINCAI ZHAN SCHOOL O INORMATION

More information

Topic 6b Finite Difference Approximations

Topic 6b Finite Difference Approximations /8/8 Course Instructor Dr. Rymond C. Rump Oice: A 7 Pone: (95) 747 6958 E Mil: rcrump@utep.edu Topic 6b Finite Dierence Approximtions EE 486/5 Computtionl Metods in EE Outline Wt re inite dierence pproximtions?

More information

Chapter 4. Additional Variational Concepts

Chapter 4. Additional Variational Concepts Chpter 4 Additionl Vritionl Concepts 137 In the previous chpter we considered clculus o vrition problems which hd ixed boundry conditions. Tht is, in one dimension the end point conditions were speciied.

More information

Average Rate of Change (AROC) The average rate of change of y over an interval is equal to change in

Average Rate of Change (AROC) The average rate of change of y over an interval is equal to change in Averge Rte o Cnge AROC Te verge rte o cnge o y over n intervl is equl to b b y y cngein y cnge in. Emple: Find te verge rte o cnge o te unction wit rule 5 s cnges rom to 5. 4 4 6 5 4 0 0 5 5 5 5 & 4 5

More information

USA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year

USA Mathematical Talent Search Round 1 Solutions Year 25 Academic Year 1/1/5. Alex is trying to oen lock whose code is sequence tht is three letters long, with ech of the letters being one of A, B or C, ossibly reeted. The lock hs three buttons, lbeled A, B nd C. When the

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

k and v = v 1 j + u 3 i + v 2

k and v = v 1 j + u 3 i + v 2 ORTHOGONAL FUNCTIONS AND FOURIER SERIES Orthogonl functions A function cn e considered to e generliztion of vector. Thus the vector concets like the inner roduct nd orthogonlity of vectors cn e extended

More information

Lecture Note 4: Numerical differentiation and integration. Xiaoqun Zhang Shanghai Jiao Tong University

Lecture Note 4: Numerical differentiation and integration. Xiaoqun Zhang Shanghai Jiao Tong University Lecture Note 4: Numericl differentition nd integrtion Xioqun Zng Sngi Jio Tong University Lst updted: November, 0 Numericl Anlysis. Numericl differentition.. Introduction Find n pproximtion of f (x 0 ),

More information

GAUGE THEORY ON A SPACE-TIME WITH TORSION

GAUGE THEORY ON A SPACE-TIME WITH TORSION GAUGE THEORY ON A SPACE-TIME WITH TORSION C. D. OPRISAN, G. ZET Fculty of Physics, Al. I. Cuz University, Isi, Romni Deprtment of Physics, Gh. Aschi Technicl University, Isi 700050, Romni Received September

More information

(9) P (x)u + Q(x)u + R(x)u =0

(9) P (x)u + Q(x)u + R(x)u =0 STURM-LIOUVILLE THEORY 7 2. Second order liner ordinry differentil equtions 2.1. Recll some sic results. A second order liner ordinry differentil eqution (ODE) hs the form (9) P (x)u + Q(x)u + R(x)u =0

More information

440-2 Geometry/Topology: Differentiable Manifolds Northwestern University Solutions of Practice Problems for Final Exam

440-2 Geometry/Topology: Differentiable Manifolds Northwestern University Solutions of Practice Problems for Final Exam 440-2 Geometry/Topology: Differentible Mnifolds Northwestern University Solutions of Prctice Problems for Finl Exm 1) Using the cnonicl covering of RP n by {U α } 0 α n, where U α = {[x 0 : : x n ] RP

More information

12 Basic Integration in R

12 Basic Integration in R 14.102, Mt for Economists Fll 2004 Lecture Notes, 10/14/2004 Tese notes re primrily bsed on tose written by Andrei Bremzen for 14.102 in 2002/3, nd by Mrek Pyci for te MIT Mt Cmp in 2003/4. I ve mde only

More information

Abstract inner product spaces

Abstract inner product spaces WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Math Week 5 concepts and homework, due Friday February 10

Math Week 5 concepts and homework, due Friday February 10 Mt 2280-00 Week 5 concepts nd omework, due Fridy Februry 0 Recll tt ll problems re good for seeing if you cn work wit te underlying concepts; tt te underlined problems re to be nded in; nd tt te Fridy

More information

Consequently, the temperature must be the same at each point in the cross section at x. Let:

Consequently, the temperature must be the same at each point in the cross section at x. Let: HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the

More information

Fundamental Theorem of Calculus

Fundamental Theorem of Calculus Funmentl Teorem of Clculus Liming Png 1 Sttement of te Teorem Te funmentl Teorem of Clculus is one of te most importnt teorems in te istory of mtemtics, wic ws first iscovere by Newton n Leibniz inepenently.

More information

Chapter 2. Numerical Integration also called quadrature. 2.2 Trapezoidal Rule. 2.1 A basic principle Extending the Trapezoidal Rule DRAWINGS

Chapter 2. Numerical Integration also called quadrature. 2.2 Trapezoidal Rule. 2.1 A basic principle Extending the Trapezoidal Rule DRAWINGS S Cpter Numericl Integrtion lso clled qudrture Te gol of numericl integrtion is to pproximte numericlly. f(x)dx Tis is useful for difficult integrls like sin(x) ; sin(x ); x + x 4 Or worse still for multiple-dimensionl

More information

[Lakshmi, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785

[Lakshmi, 5(2): February, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785 [Lkshmi, 5): Februry, 0] ISSN: 77-955 IOR), Publiction Imct Fctor: 785 IJESRT INTERNTIONL JOURNL OF ENGINEERING SCIENCES & RESERCH TECHNOLOGY SUB -TRIDENT FORM THROUGH FUZZY SUB -TRINGULR FORM Prveen Prksh,

More information

Elements of Matrix Algebra

Elements of Matrix Algebra Elements of Mtrix Algebr Klus Neusser Kurt Schmidheiny September 30, 2015 Contents 1 Definitions 2 2 Mtrix opertions 3 3 Rnk of Mtrix 5 4 Specil Functions of Qudrtic Mtrices 6 4.1 Trce of Mtrix.........................

More information

Generalized Fano and non-fano networks

Generalized Fano and non-fano networks Generlized Fno nd non-fno networks Nildri Ds nd Brijesh Kumr Ri Deprtment of Electronics nd Electricl Engineering Indin Institute of Technology Guwhti, Guwhti, Assm, Indi Emil: {d.nildri, bkri}@iitg.ernet.in

More information

Chapter 1. Chapter 1 1

Chapter 1. Chapter 1 1 Chpter Chpter : Signls nd Systems... 2. Introduction... 2.2 Signls... 3.2. Smpling... 4.2.2 Periodic Signls... 0.2.3 Discrete-Time Sinusoidl Signls... 2.2.4 Rel Exponentil Signls... 5.2.5 Complex Exponentil

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

Families of Solutions to Bernoulli ODEs

Families of Solutions to Bernoulli ODEs In the fmily of solutions to the differentil eqution y ry dx + = it is shown tht vrition of the initil condition y( 0 = cuses horizontl shift in the solution curve y = f ( x, rther thn the verticl shift

More information

Math Lecture 23

Math Lecture 23 Mth 8 - Lecture 3 Dyln Zwick Fll 3 In our lst lecture we delt with solutions to the system: x = Ax where A is n n n mtrix with n distinct eigenvlues. As promised, tody we will del with the question of

More information

Mathematics. Area under Curve.

Mathematics. Area under Curve. Mthemtics Are under Curve www.testprepkrt.com Tle of Content 1. Introduction.. Procedure of Curve Sketching. 3. Sketching of Some common Curves. 4. Are of Bounded Regions. 5. Sign convention for finding

More information

CSCI 5525 Machine Learning

CSCI 5525 Machine Learning CSCI 555 Mchine Lerning Some Deini*ons Qudrtic Form : nn squre mtri R n n : n vector R n the qudrtic orm: It is sclr vlue. We oten implicitly ssume tht is symmetric since / / I we write it s the elements

More information

Quadratic Residues. Chapter Quadratic residues

Quadratic Residues. Chapter Quadratic residues Chter 8 Qudrtic Residues 8. Qudrtic residues Let n>be given ositive integer, nd gcd, n. We sy tht Z n is qudrtic residue mod n if the congruence x mod n is solvble. Otherwise, is clled qudrtic nonresidue

More information

1 1D heat and wave equations on a finite interval

1 1D heat and wave equations on a finite interval 1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion

More information

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1 Ch.4. INTEGRAL EQUATIONS AND GREEN S FUNCTIONS Ronld B Guenther nd John W Lee, Prtil Differentil Equtions of Mthemticl Physics nd Integrl Equtions. Hildebrnd, Methods of Applied Mthemtics, second edition

More information

Discrete Least-squares Approximations

Discrete Least-squares Approximations Discrete Lest-squres Approximtions Given set of dt points (x, y ), (x, y ),, (x m, y m ), norml nd useful prctice in mny pplictions in sttistics, engineering nd other pplied sciences is to construct curve

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

1 Review: Volumes of Solids (Stewart )

1 Review: Volumes of Solids (Stewart ) Lecture : Some Bic Appliction of Te Integrl (Stewrt 6.,6.,.,.) ul Krin eview: Volume of Solid (Stewrt 6.-6.) ecll: we d provided two metod for determining te volume of olid of revolution. Te rt w by dic

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

The Projective Quarter Symmetric Metric Connections and Their Curvature Tensors

The Projective Quarter Symmetric Metric Connections and Their Curvature Tensors Interntion Mtemtic Forum, 4, 009, no. 48, 369-376 e Projective Qurter Symmetric Metric Connections nd eir Curvture ensors Hüy BAGDALI YILMAZ e University of Mrmr, Fcuty of Sciences nd Letters Deprtment

More information

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60. Mth 104: finl informtion The finl exm will tke plce on Fridy My 11th from 8m 11m in Evns room 60. The exm will cover ll prts of the course with equl weighting. It will cover Chpters 1 5, 7 15, 17 21, 23

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

CHAPTER 4a. ROOTS OF EQUATIONS

CHAPTER 4a. ROOTS OF EQUATIONS CHAPTER 4. ROOTS OF EQUATIONS A. J. Clrk School o Engineering Deprtment o Civil nd Environmentl Engineering by Dr. Ibrhim A. Asskk Spring 00 ENCE 03 - Computtion Methods in Civil Engineering II Deprtment

More information

ENGI 3424 Engineering Mathematics Five Tutorial Examples of Partial Fractions

ENGI 3424 Engineering Mathematics Five Tutorial Examples of Partial Fractions ENGI 44 Engineering Mthemtics Five Tutoril Exmples o Prtil Frctions 1. Express x in prtil rctions: x 4 x 4 x 4 b x x x x Both denomintors re liner non-repeted ctors. The cover-up rule my be used: 4 4 4

More information

Convex Sets and Functions

Convex Sets and Functions B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line

More information

Quadratic Forms. Quadratic Forms

Quadratic Forms. Quadratic Forms Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte

More information

Analytical Methods Exam: Preparatory Exercises

Analytical Methods Exam: Preparatory Exercises Anlyticl Methods Exm: Preprtory Exercises Question. Wht does it men tht (X, F, µ) is mesure spce? Show tht µ is monotone, tht is: if E F re mesurble sets then µ(e) µ(f). Question. Discuss if ech of the

More information

The one-dimensional Henstock-Kurzweil integral

The one-dimensional Henstock-Kurzweil integral Chpter 1 The one-dimensionl Henstock-Kurzweil integrl 1.1 Introduction nd Cousin s Lemm The purpose o this monogrph is to study multiple Henstock-Kurzweil integrls. In the present chpter, we shll irst

More information

Review of Gaussian Quadrature method

Review of Gaussian Quadrature method Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge

More information

A P P E N D I X POWERS OF TEN AND SCIENTIFIC NOTATION A P P E N D I X SIGNIFICANT FIGURES

A P P E N D I X POWERS OF TEN AND SCIENTIFIC NOTATION A P P E N D I X SIGNIFICANT FIGURES A POWERS OF TEN AND SCIENTIFIC NOTATION In science, very lrge nd very smll deciml numbers re conveniently expressed in terms of powers of ten, some of wic re listed below: 0 3 0 0 0 000 0 3 0 0 0 0.00

More information

BRIEF NOTES ADDITIONAL MATHEMATICS FORM

BRIEF NOTES ADDITIONAL MATHEMATICS FORM BRIEF NOTES ADDITIONAL MATHEMATICS FORM CHAPTER : FUNCTION. : + is the object, + is the imge : + cn be written s () = +. To ind the imge or mens () = + = Imge or is. Find the object or 8 mens () = 8 wht

More information

Math 5440 Problem Set 3 Solutions

Math 5440 Problem Set 3 Solutions Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 25 1: Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel Int. J. Contemp. Mth. Sciences, Vol. 6, 2011, no. 11, 535-543 Solution to Fredholm Fuzzy Integrl Equtions with Degenerte Kernel M. M. Shmivnd, A. Shhsvrn nd S. M. Tri Fculty of Science, Islmic Azd University

More information

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected Exercises. g(x) 2 dx 1 2 a

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected Exercises. g(x) 2 dx 1 2 a McGill University Mth 354: Honors Anlysis 3 Fll 2012 Assignment 1 Solutions to selected Exercises Exercise 1. (i) Verify the identity for ny two sets of comlex numers { 1,..., n } nd { 1,..., n } ( n )

More information

Numerical Linear Algebra Assignment 008

Numerical Linear Algebra Assignment 008 Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com

More information

Math 5440 Problem Set 3 Solutions

Math 5440 Problem Set 3 Solutions Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 213 1: (Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping

More information

Numerical Integration Problems

Numerical Integration Problems Integrtion COS 33 Nuericl Integrtion Proles Bsic D nuericl integrtion Given ility to evlute or ny, ind Gol: est ccurcy wit ewest sples Clssic prole even nlytic unctions not necessrily integrle in closed

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

Lecture 19: Continuous Least Squares Approximation

Lecture 19: Continuous Least Squares Approximation Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for

More information

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24 Mtrix lger Mtrix ddition, Sclr Multipliction nd rnsposition Mtrix lger Section.. Mtrix ddition, Sclr Multipliction nd rnsposition rectngulr rry of numers is clled mtrix ( the plurl is mtrices ) nd the

More information

Math 360: A primitive integral and elementary functions

Math 360: A primitive integral and elementary functions Mth 360: A primitive integrl nd elementry functions D. DeTurck University of Pennsylvni October 16, 2017 D. DeTurck Mth 360 001 2017C: Integrl/functions 1 / 32 Setup for the integrl prtitions Definition:

More information

Polynomials and Division Theory

Polynomials and Division Theory Higher Checklist (Unit ) Higher Checklist (Unit ) Polynomils nd Division Theory Skill Achieved? Know tht polynomil (expression) is of the form: n x + n x n + n x n + + n x + x + 0 where the i R re the

More information

PLK VICWOOD K.T. CHONG SIXTH FORM COLLEGE Form Six AL Physics Optical instruments

PLK VICWOOD K.T. CHONG SIXTH FORM COLLEGE Form Six AL Physics Optical instruments AL Pysics/pticl instruments/p.1 PLK VICW K.T. CHNG SIXTH FRM CLLEGE Form Six AL Pysics pticl Instruments pticl instruments Mgniying glss Microscope Rercting telescope Grting spectrometer Qulittive understnding

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

21.6 Green Functions for First Order Equations

21.6 Green Functions for First Order Equations 21.6 Green Functions for First Order Equtions Consider the first order inhomogeneous eqution subject to homogeneous initil condition, B[y] y() = 0. The Green function G( ξ) is defined s the solution to

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

1. On some properties of definite integrals. We prove

1. On some properties of definite integrals. We prove This short collection of notes is intended to complement the textbook Anlisi Mtemtic 2 by Crl Mdern, published by Città Studi Editore, [M]. We refer to [M] for nottion nd the logicl stremline of the rguments.

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

EXTENDED BRST SYMMETRIES IN THE GAUGE FIELD THEORY

EXTENDED BRST SYMMETRIES IN THE GAUGE FIELD THEORY Romnin Reports in hysics olume 53 Nos.. 9 4 EXTENDED BRST SYETRIES IN TE GUGE FIELD TEORY UREL BBLEN RDU CONSTNTINESCU CREN IONESCU Deprtment of Theoreticl hysics University of Criov 3.I. Cuz Criov Romni

More information

Chapter 6 Continuous Random Variables and Distributions

Chapter 6 Continuous Random Variables and Distributions Chpter 6 Continuous Rndom Vriles nd Distriutions Mny economic nd usiness mesures such s sles investment consumption nd cost cn hve the continuous numericl vlues so tht they cn not e represented y discrete

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Continuous Random Variables

Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht

More information

Taylor Series and the Mean Value Theorem of Derivatives

Taylor Series and the Mean Value Theorem of Derivatives 1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential

More information

Experiments, Outcomes, Events and Random Variables: A Revisit

Experiments, Outcomes, Events and Random Variables: A Revisit Eperiments, Outcomes, Events nd Rndom Vriles: A Revisit Berlin Chen Deprtment o Computer Science & Inormtion Engineering Ntionl Tiwn Norml University Reerence: - D. P. Bertseks, J. N. Tsitsiklis, Introduction

More information

Elementary Linear Algebra

Elementary Linear Algebra Elementry Liner Algebr Anton & Rorres, 1 th Edition Lecture Set 5 Chpter 4: Prt II Generl Vector Spces 163 คณ ตศาสตร ว ศวกรรม 3 สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา 1/2555 163 คณตศาสตรวศวกรรม 3 สาขาวชาวศวกรรมคอมพวเตอร

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

Orthogonal Polynomials

Orthogonal Polynomials Mth 4401 Gussin Qudrture Pge 1 Orthogonl Polynomils Orthogonl polynomils rise from series solutions to differentil equtions, lthough they cn be rrived t in vriety of different mnners. Orthogonl polynomils

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Anonymous Math 361: Homework 5. x i = 1 (1 u i )

Anonymous Math 361: Homework 5. x i = 1 (1 u i ) Anonymous Mth 36: Homewor 5 Rudin. Let I be the set of ll u (u,..., u ) R with u i for ll i; let Q be the set of ll x (x,..., x ) R with x i, x i. (I is the unit cube; Q is the stndrd simplex in R ). Define

More information

MAS 4156 Lecture Notes Differential Forms

MAS 4156 Lecture Notes Differential Forms MAS 4156 Lecture Notes Differentil Forms Definitions Differentil forms re objects tht re defined on mnifolds. For this clss, the only mnifold we will put forms on is R 3. The full definition is: Definition:

More information

Lesson 1: Quadratic Equations

Lesson 1: Quadratic Equations Lesson 1: Qudrtic Equtions Qudrtic Eqution: The qudrtic eqution in form is. In this section, we will review 4 methods of qudrtic equtions, nd when it is most to use ech method. 1. 3.. 4. Method 1: Fctoring

More information

A short introduction to local fractional complex analysis

A short introduction to local fractional complex analysis A short introduction to locl rctionl complex nlysis Yng Xio-Jun Deprtment o Mthemtics Mechnics, hin University o Mining Technology, Xuhou mpus, Xuhou, Jingsu, 228, P R dyngxiojun@63com This pper presents

More information

Review of Riemann Integral

Review of Riemann Integral 1 Review of Riemnn Integrl In this chpter we review the definition of Riemnn integrl of bounded function f : [, b] R, nd point out its limittions so s to be convinced of the necessity of more generl integrl.

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

More information

4 The dynamical FRW universe

4 The dynamical FRW universe 4 The dynmicl FRW universe 4.1 The Einstein equtions Einstein s equtions G µν = T µν (7) relte the expnsion rte (t) to energy distribution in the universe. On the left hnd side is the Einstein tensor which

More information

Proper curvature collineations in Bianchi type-ii space-times( )

Proper curvature collineations in Bianchi type-ii space-times( ) IL NUOVO CIMENTO Vol. 121 B, N. 3 Marzo 2006 DOI 10.1393/ncb/i2006-10044-7 Proper curvature collineations in Bianchi type-ii space-times( G. Shabbir( Faculty of Engineering Sciences, GIK Institute of Engineering

More information

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in

More information

Homework 4. (1) If f R[a, b], show that f 3 R[a, b]. If f + (x) = max{f(x), 0}, is f + R[a, b]? Justify your answer.

Homework 4. (1) If f R[a, b], show that f 3 R[a, b]. If f + (x) = max{f(x), 0}, is f + R[a, b]? Justify your answer. Homework 4 (1) If f R[, b], show tht f 3 R[, b]. If f + (x) = mx{f(x), 0}, is f + R[, b]? Justify your nswer. (2) Let f be continuous function on [, b] tht is strictly positive except finitely mny points

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

REPRESENTATION THEORY OF PSL 2 (q)

REPRESENTATION THEORY OF PSL 2 (q) REPRESENTATION THEORY OF PSL (q) YAQIAO LI Following re notes from book [1]. The im is to show the qusirndomness of PSL (q), i.e., the group hs no low dimensionl representtion. 1. Representtion Theory

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry dierentil eqution (ODE) du f(t) dt with initil condition u() : Just

More information

Part I: Basic Concepts of Thermodynamics

Part I: Basic Concepts of Thermodynamics Prt I: Bsic Concepts o Thermodynmics Lecture 4: Kinetic Theory o Gses Kinetic Theory or rel gses 4-1 Kinetic Theory or rel gses Recll tht or rel gses: (i The volume occupied by the molecules under ordinry

More information

f(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all

f(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all 3 Definite Integrl 3.1 Introduction In school one comes cross the definition of the integrl of rel vlued function defined on closed nd bounded intervl [, b] between the limits nd b, i.e., f(x)dx s the

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

HOMEWORK SOLUTIONS MATH 1910 Sections 7.9, 8.1 Fall 2016

HOMEWORK SOLUTIONS MATH 1910 Sections 7.9, 8.1 Fall 2016 HOMEWORK SOLUTIONS MATH 9 Sections 7.9, 8. Fll 6 Problem 7.9.33 Show tht for ny constnts M,, nd, the function yt) = )) t ) M + tnh stisfies the logistic eqution: y SOLUTION. Let Then nd Finlly, y = y M

More information

Section 4.7 Inverse Trigonometric Functions

Section 4.7 Inverse Trigonometric Functions Section 7 Inverse Trigonometric Functions 89 9 Domin: 0, q Rnge: -q, q Zeros t n, n nonnegtive integer 9 Domin: -q, 0 0, q Rnge: -q, q Zeros t, n non-zero integer Note: te gr lso suggests n te end-bevior

More information

Algebra Of Matrices & Determinants

Algebra Of Matrices & Determinants lgebr Of Mtrices & Determinnts Importnt erms Definitions & Formule 0 Mtrix - bsic introduction: mtrix hving m rows nd n columns is clled mtrix of order m n (red s m b n mtrix) nd mtrix of order lso in

More information

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system Complex Numbers Section 1: Introduction to Complex Numbers Notes nd Exmples These notes contin subsections on The number system Adding nd subtrcting complex numbers Multiplying complex numbers Complex

More information

Classification of Spherical Quadrilaterals

Classification of Spherical Quadrilaterals Clssifiction of Sphericl Qudrilterls Alexndre Eremenko, Andrei Gbrielov, Vitly Trsov November 28, 2014 R 01 S 11 U 11 V 11 W 11 1 R 11 S 11 U 11 V 11 W 11 2 A sphericl polygon is surfce homeomorphic to

More information