1. A 0,,,, : cos. g x x. 2. If f : R R, g : R R are defined by f x 3x 2 ( ( 3, 1 ( ( ) 1 1, ,

Size: px
Start display at page:

Download "1. A 0,,,, : cos. g x x. 2. If f : R R, g : R R are defined by f x 3x 2 ( ( 3, 1 ( ( ) 1 1, ,"

Transcription

1 If π π π π. A 0,,,, : cos 6 and f A B is a surjection defined by f then find B Given f ( ) cos, f (0) cos(0), f cos, f cos, f cos, f cos Rangeof B,,,,0 g. If f : R R, g : R R are defined by f, ( ) then findi)fog() ii)gof(a-) ( i) Given g( ) ( ii) Given f ( ) g() f (a ) (a ) g() f (a ) 6a 9 f ( g()) f () f (a ) 6a 0 f ( g()) ( ) [ f ( ) ] g( f (a )) g(6a 0) fog() g( f (a )) (6a 0) [ g( ) ] gof (a )) (6a 0a 0). If f ( ), g( ), h( ) for all R, then find ( fo( goh)){ } Given f ( ), g( ), h( ) ( fo( goh)){ } f { g[ h( )]} f { g[ ]} f { }. Find the domain of the real valued function f Given f ( )( )( ) 0,, Domain of ' f ' is R \,, ( )( ) ( )( )( ). If A -,-,0,, and f : A Bis a surjection defined by sol Given f f, then find B. ( ), f (0) 0 0, ( )( ) ) ) ) Rangeof B,,7 f f f f ( (, ( ( ), 7, 6. find thedomainof real valued function f ( ) 9 Given f ( ) 9 but f R ( ) ( )( ) 0 [,] Domain of f is[,]

2 y y y y y ( fog){ y} f { g[ y]} f y y y y y y y y y y 8. find the domain of real valued function f ( ) log e( ) sol Given f. ( ) log e( ) but f R ( ) 0 0 ( )( ) 0 (,) (, ) Domain of f is (,) (, ) 9. If f : Q Qis defined by f for all Qthen find f Given f let f ( ) y f ( y) () y f ( ) y y y () y y f ( y) f ( y) 0. find thedomainof real valued function f ( ) Given f ( ) but f ( ) R 0, 0, 0, 0 [, ] \{0} Domain of f is[,] \{0}. If f : R R is defined by f, thenthis functionis injuction or not? justify? Given f Suppose f ( ) f ( ) f ( ) f ( ) f is injective function. If the function f is defined by Then find the values of f, f.,,., f If, f ( )., f ( ) not define f () () 0. Find the domain of the real valued function f Given f 0 0 ( )( ) 0 (,) Domain of ' f ' is (,)

3 Lower triangular matrices : A square matrices A=[ a ij ] is said to be an lower triangular matrices if a ij =0 when i< j 0. Define skew symmetric matri, If A 0 is a skew symmetric matri, find? 0 skew symmetric matri : a matri' A' is said tobe skew symmetric matri if A A 0 0 Given A 0 T A T If Ais a skew symmetric matri, A A 0 0 ( ) If A 0 0 then finda? Given A 0 0 A 0 0 A I A ( I) A 8I A If A 0, B and X=A+B then find X? 0 Given A 0, B and X=A+B X= 0 X 0 7. Find the adjoint and inverseof the matri 6 8. If A and A 0, then k a b d b d b if A then A, adj A c d ad bc c a c a Given A and A 0 k AA 0 Given A A.6 ( ). A k k 0 0 Adjoint A 8 k 0 0 adj A 6 k k 0 0 A A A 8 k 0 k T find the valueof k?

4 T 0 Given A 0 A Trace : sum of theelements inthe principal diagonal of a square matri T 0 0 AA Given A, Tra( A) ( ) 0. Construct a X matri whose elements are defined by aij i j a a Given that X matri is A a a a a Now aij i j, i,,, j, a () a () 6 a () a () 6 a () 0 0 a () 6 therequired matriis A 0. Find therank of 0 0 Let A. If A. and det A, then find ' ' Given A A 0 [ rows areidentical] 6 det A = ( + )= 7 Take a min or, 0 [ rows areidentical] Rank of A y8. If, find, y, z and a z 6 a 8, y 8 y, z z, a 6 a 0.Define linear combination of vectors? Let a, a, a an are vectors and,, n are scalars. Then the vectors a a a nan is called a linear combination of vectors

5 where A, X y z A (6 ) ( )( ) ( ) 9 0 A 0 Rank of A the given system of equations havetrivial solution only y z 0 6. Define symmetric matri, If A 6 is a symmetric matri, find? 7 symmetric matri : a matri ' A' is said tobe symmetric matriif A T Given A 6 A T If Ais a symmetric matri, A A Find the area of parallelog ram whose diagonals arei j k and i j k Let a i j k, b i j k i j k ab i( 6) j( ) k( 9 ) i j 0k ab ( ) ( ) ( 0) 00 0 the area of parallelog ram whose diagonals are a, b ab.0 sq. units 8. Show that the points whose position vectors a b c, a b c, 7a c are collinear consider a b c 7 0 [ ( 0) ( ) (0 )] a b c (0) a b c 0 given points are collinear 9. Find the unit vector in the direction of i j k T A Given a i j k then a 9 a i j k unit vector inthe directionof a a

6 we have m 0, n m n m n. Find the vector equation of the line passing through the points a i j k and parallel to the vector b i j k The vector equation of the line passing through the points a and parallel to the vector b is r a tb given a i j k and b i j k Theline r i j k t( i j k). If the position vectors of the point s A, B and C are i j k, i j k and 6i j k respectively and AB AC, then find? Given OA i j k, OB i j k and OC 6i j k AB OB OA ( i j k) ( i j k) i j k AC OC OA (6i j k) ( i j k) 8i j k Given AB AC ( i j k) (8i j k) 8. Find the area of the parallelogram having i j and i k as adjacent sides Theareaof the parallelogram ab Given a i j and b i k i j k nowa b 0 i( 0) j( 0) k(0 9) i j 9k 0 ab sq. units. Find the area of the parallelogram having j k and i k as adjacent sides The area of the parallelogram ab Givena j k and b i k i j k nowa b 0 i( 0) j(0 ) k(0 ) i j k 0 ab 9 sq. units. If,, arethe angles madeby the vector i 6 j k with the positive direction of coordinate ais, then find cos,cos,cos? Sol Given a i j k a. 6, ( 6) then cos,cos,cos Find the angle between the vectors a i j k and b i j k We knowthat cos a. b a b giventhat a i j k a and b i j k b ( ) () ( ) () 7 cos

7 given a i j k, b j k and c i j Theline r ( t s)( i j k ) t ( j k ) s( i j ) 8. If a i j k and b i j k then find the projection of b on a? Given a i j k and b i j k b. a (i j k).( i j k) a ( ) ( ) a ( b. a) a the projection of b on a ( i j k ) a 9. Let a i j k and b i j. Find theunit vector inthe directionof a b? Given a i j k and b i j a b ( i j k) ( i j) i j k a b a b theunit vector inthe directionof a b ( i j k) a b 0. If the vectors a i λ j k and b i j k are perpendicular to each other, find λ If a b a. b 0 () ( ) ( ) 0. Find the vector equation of the line joining the points a i j k and b i j k The vector equation of the line joining the points a and b is r ( t) a tb given a i j k and b i j k Theline r ( t) i j k t( i j k). Find the angle between the planes r.(i j k) and r.(i 6 j k) Given planes are r.(i j k) () and r.(i 6 j k) () let be the angle between planes () and () we knowthat cos cos a a b b c c ( a b c )( a b c ). ( ).6. ( ( ) )( 6 ) 6 6 cos cos cos ( )(9 6 ) 6 6. If the vectors λ i j k and λi λ j k are perpendicular to each other, find Givena λ i j k and b λi λ j k a b a. b 0 ( ) ( )( ) ( ) 0 0 ( )( ) 0 or

8 . Find the period of the function f ( ) cos( ) 7 The period of the function cos a is a given f ( ) cos( ) 7 the period of f ( ) 6. If sin,sin and, are acute, then showthat? 0 Givensin sin 0 tan tan tan tan 6 tan( ) tan tan tan 6. 6 tan( ) tan 7. If sin and is not in the first quadrant, find the value of cos? 8. Pr ove that cos 8.cos 8 givensin 0, and is not in the first quadrant L. H. S cos 8.cos lies insec ond quadrant cos is negative [cos 8.cos] we knowthat cos sin [cos(8 ) cos(8 )] cos [cos60 cos6] cos, Hencecos R. H. S 8 cos9 sin 9 9. Pr ovethat cot 6 cos9 sin 9 sin 9 cos9 cos9 sin 9 cos9 tan tan 9 Given tan( 9) tan tan(90 6) cot(6) cos9 sin 9 sin 9 tan.tan 9 cos9 cos9 0. Find the period of the function f ( ) tan( 9 n ) The period of the function tan a is a given f n ( ) tan( 9 ) n( n )(n ) 6 6 the period of f ( ) nn ( )(n ) n( n )(n ) 6 f ( ) tan( n ) tan

9 we knowthat sin cos sin t sin t sin t sin t tan cos t. Find the ma imum and min imum value of cos sin Givencos sin Here a, b, c ma. value c a b ( ) min. value c a b ( ) Find the ma imum and min imum value of cos sin Givencos sin Here a, b, c 0 ma. value c a b min. value c a b E lim inate from a cos, y bsin Given a cos, y bsin y cos, sin a b y a b cos, sin y cos, sin a b y a b a y b cos sin 8 8. Find asin e function whose period as The period of sin ais a given a a a the sine function sin ( ). If A B then prove that ( tan A)( tan B) Given A B tan( A B) tan tan A tan B tan A.tan B tan A tan B tan A.tan B tan A tan B tan A.tan B Adding on both side, we have tan A tan B tan A.tan B tan A tan B( tan A) ( tan A)( tan B) 6. Pr ove that tan 70 tan 0 tan 0 tan60 tan0 7. If tan 0, then showthat We know tan60. tan0 tan(70 0) tan 0 Given tan 0 cot 0 tan 70 tan 0 tan 0 tan60 tan0 tan 70.tan 0 LHS tan60. tan0 tan 70 tan 0 tan 0 tan(60 0) tan 0 tan(90 0) cot 0 tan 70.cot 70 tan 70 tan 0 tan 0 cot 0 cot (0) cot 0 tan 70 tan 0 tan 0

10 Giventhat sin h 9. If cos sin cos, we knowthat cosh sinh 9 cosh cosh cosh( ) sinh sinh( ) sinh.cosh If cosh, then find the values of cosh( ),sinh( ) Givencosh we knowthat cosh sinh sinh cosh sinh sinh 6 nowcosh( ) cosh sinh and sinh( ) sinh. cosh.. 6. P. T cosh sinh cosh( n) sinh( n) n e e e e LHS cosh sinh n e e e e cosh sinh n e cosh sinh e RHS cosh( n) sinh( n) n n n e e e e e e e e e n e L. H. S R. H. S n n n n n n n n cosh sinh cosh( n) sinh( n) n n prove that cos sin sin Given cos sin cos sin cos cos sin cos multiplying with on both side sin cos sin sin ( ) cos sin cos sin 60. If sin, where, Evaluate cos givensin and lies insec ound quadrant we know cos sin 9 6 cos cos cos now cos cos cos cos 6 cos 6 00 cos 6. Showthat tan h loge Weknowthat tanh ( ) loge tanh log e loge 6. If sinh showthat log 0 sol We knowthat. sinh loge given that sinh sinh e e log log 0 e

CLASS XII MATHEMATICS. Weightage (Marks) (i) Relations and Functions 10. Type of Questions Weightage of Number of Total Marks each question questions

CLASS XII MATHEMATICS. Weightage (Marks) (i) Relations and Functions 10. Type of Questions Weightage of Number of Total Marks each question questions CLASS XII MATHEMATICS Units Weightage (Marks) (i) Relations and Functions 0 (ii) Algebra (Matrices and Determinants) (iii) Calculus 44 (iv) Vector and Three dimensional Geometry 7 (v) Linear Programming

More information

MATHEMATICS. IMPORTANT FORMULAE AND CONCEPTS for. Final Revision CLASS XII CHAPTER WISE CONCEPTS, FORMULAS FOR QUICK REVISION.

MATHEMATICS. IMPORTANT FORMULAE AND CONCEPTS for. Final Revision CLASS XII CHAPTER WISE CONCEPTS, FORMULAS FOR QUICK REVISION. MATHEMATICS IMPORTANT FORMULAE AND CONCEPTS for Final Revision CLASS XII 2016 17 CHAPTER WISE CONCEPTS, FORMULAS FOR QUICK REVISION Prepared by M. S. KUMARSWAMY, TGT(MATHS) M. Sc. Gold Medallist (Elect.),

More information

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified)

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified) SUMMER 8 EXAMINATION Important Instructions to eaminers: ) The answers should be eamined by key words and not as word-to-word as given in the model answer scheme. ) The model answer and the answer written

More information

MATHEMATICS PAPER IA. Note: This question paper consists of three sections A,B and C. SECTION A VERY SHORT ANSWER TYPE QUESTIONS.

MATHEMATICS PAPER IA. Note: This question paper consists of three sections A,B and C. SECTION A VERY SHORT ANSWER TYPE QUESTIONS. MATHEMATICS PAPER IA TIME : hrs Mx. Mrks.75 Note: This question pper consists of three sections A,B nd C. SECTION A VERY SHORT ANSWER TYPE QUESTIONS. 0X =0. If A = {,, 0,, } nd f : A B is surjection defined

More information

DIRECTORATE OF EDUCATION GOVT. OF NCT OF DELHI

DIRECTORATE OF EDUCATION GOVT. OF NCT OF DELHI 456789045678904567890456789045678904567890456789045678904567890456789045678904567890 456789045678904567890456789045678904567890456789045678904567890456789045678904567890 QUESTION BANK 456789045678904567890456789045678904567890456789045678904567890456789045678904567890

More information

CBSE 2018 ANNUAL EXAMINATION DELHI

CBSE 2018 ANNUAL EXAMINATION DELHI CBSE 08 ANNUAL EXAMINATION DELHI (Series SGN Code No 65/ : Delhi Region) Ma Marks : 00 Time Allowed : Hours SECTION A Q0 Find the value of tan cot ( ) Sol 5 5 tan cot ( ) tan tan cot cot 6 6 6 0 a Q0 If

More information

Matrix Operations: Determinant

Matrix Operations: Determinant Matrix Operations: Determinant Determinants Determinants are only applicable for square matrices. Determinant of the square matrix A is denoted as: det(a) or A Recall that the absolute value of the determinant

More information

CLASS 12 ALGEBRA OF MATRICES

CLASS 12 ALGEBRA OF MATRICES CLASS 12 ALGEBRA OF MATRICES Deepak Sir 9811291604 SHRI SAI MASTERS TUITION CENTER CLASS 12 A matrix is an ordered rectangular array of numbers or functions. The numbers or functions are called the elements

More information

Prepared by: M. S. KumarSwamy, TGT(Maths) Page

Prepared by: M. S. KumarSwamy, TGT(Maths) Page Prepared by: M. S. KumarSwamy, TGT(Maths) Page - 50 - CHAPTER 3: MATRICES QUICK REVISION (Important Concepts & Formulae) MARKS WEIGHTAGE 03 marks Matrix A matrix is an ordered rectangular array of numbers

More information

Phys 201. Matrices and Determinants

Phys 201. Matrices and Determinants Phys 201 Matrices and Determinants 1 1.1 Matrices 1.2 Operations of matrices 1.3 Types of matrices 1.4 Properties of matrices 1.5 Determinants 1.6 Inverse of a 3 3 matrix 2 1.1 Matrices A 2 3 7 =! " 1

More information

CLASS XII MATHEMATICS. Weightage (Marks) (i) Relations and Functions 10. (ii) Algebra 13. (iii) Calculus 44

CLASS XII MATHEMATICS. Weightage (Marks) (i) Relations and Functions 10. (ii) Algebra 13. (iii) Calculus 44 CLASS XII MATHEMATICS Units Weightage (Marks) (i) Relations and Functions 0 (ii) Algebra (iii) Calculus 44 (iv) Vector and Three Dimensional Geometry 7 (v) Linear Programming 06 (vi) Probability 0 Total

More information

3. Total number of functions from the set A to set B is n. 4. Total number of one-one functions from the set A to set B is n Pm

3. Total number of functions from the set A to set B is n. 4. Total number of one-one functions from the set A to set B is n Pm ASSIGNMENT CLASS XII RELATIONS AND FUNCTIONS Important Formulas If A and B are finite sets containing m and n elements, then Total number of relations from the set A to set B is mn Total number of relations

More information

Math 302 Test 1 Review

Math 302 Test 1 Review Math Test Review. Given two points in R, x, y, z and x, y, z, show the point x + x, y + y, z + z is on the line between these two points and is the same distance from each of them. The line is rt x, y,

More information

1. The unit vector perpendicular to both the lines. Ans:, (2)

1. The unit vector perpendicular to both the lines. Ans:, (2) 1. The unit vector perpendicular to both the lines x 1 y 2 z 1 x 2 y 2 z 3 and 3 1 2 1 2 3 i 7j 7k i 7j 5k 99 5 3 1) 2) i 7j 5k 7i 7j k 3) 4) 5 3 99 i 7j 5k Ans:, (2) 5 3 is Solution: Consider i j k a

More information

Prepared by: M. S. KumarSwamy, TGT(Maths) Page

Prepared by: M. S. KumarSwamy, TGT(Maths) Page Prepared by: M S KumarSwamy, TGT(Maths) Page - 119 - CHAPTER 10: VECTOR ALGEBRA QUICK REVISION (Important Concepts & Formulae) MARKS WEIGHTAGE 06 marks Vector The line l to the line segment AB, then a

More information

12 th Class Mathematics Paper

12 th Class Mathematics Paper th Class Mathematics Paper Maimum Time: hours Maimum Marks: 00 General Instructions: (i) All questions are compulsory. (ii) The question paper consists of 9 questions divided into four sections A, B, C

More information

FUNCTIONS. Note: Example of a function may be represented diagrammatically. The above example can be written diagrammatically as follows.

FUNCTIONS. Note: Example of a function may be represented diagrammatically. The above example can be written diagrammatically as follows. FUNCTIONS Def : A relation f from a set A into a set is said to be a function or mapping from A into if for each A there eists a unique such that (, ) f. It is denoted b f : A. Note: Eample of a function

More information

Mathematics. EC / EE / IN / ME / CE. for

Mathematics.   EC / EE / IN / ME / CE. for Mathematics for EC / EE / IN / ME / CE By www.thegateacademy.com Syllabus Syllabus for Mathematics Linear Algebra: Matrix Algebra, Systems of Linear Equations, Eigenvalues and Eigenvectors. Probability

More information

Determinants Chapter 3 of Lay

Determinants Chapter 3 of Lay Determinants Chapter of Lay Dr. Doreen De Leon Math 152, Fall 201 1 Introduction to Determinants Section.1 of Lay Given a square matrix A = [a ij, the determinant of A is denoted by det A or a 11 a 1j

More information

MATHEMATICS Paper & Solutions

MATHEMATICS Paper & Solutions CBSE-XII-8 EXAMINATION Series SGN MATHEMATICS Paper & Solutions SET- Code : 6/ Time : Hrs. Ma. Marks : General Instruction : (i) All questions are compulsor. (ii) The question paper consists of 9 questions

More information

FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, TECHNICAL MATHEMATICS- I (Common Except DCP and CABM)

FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, TECHNICAL MATHEMATICS- I (Common Except DCP and CABM) TED (10)-1002 (REVISION-2010) Reg. No.. Signature. FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- OCTOBER, 2010 TECHNICAL MATHEMATICS- I (Common Except DCP and CABM) (Maximum marks: 100)

More information

ANNUAL EXAMINATION - ANSWER KEY II PUC - MATHEMATICS PART - A

ANNUAL EXAMINATION - ANSWER KEY II PUC - MATHEMATICS PART - A . LCM of and 6 8. -cosec ( ) -. π a a A a a. A A A A 8 8 6 5. 6. sin d ANNUAL EXAMINATION - ANSWER KEY -7 + d + + C II PUC - MATHEMATICS PART - A 7. or more vectors are said to be collinear vectors if

More information

STRAIGHT LINES EXERCISE - 3

STRAIGHT LINES EXERCISE - 3 STRAIGHT LINES EXERCISE - 3 Q. D C (3,4) E A(, ) Mid point of A, C is B 3 E, Point D rotation of point C(3, 4) by angle 90 o about E. 3 o 3 3 i4 cis90 i 5i 3 i i 5 i 5 D, point E mid point of B & D. So

More information

* is a row matrix * An mxn matrix is a square matrix if and only if m=n * A= is a diagonal matrix if = 0 i

* is a row matrix * An mxn matrix is a square matrix if and only if m=n * A= is a diagonal matrix if = 0 i CET MATRICES *A matrix is an order rectangular array of numbers * A matrix having m rows and n columns is called mxn matrix of order * is a column matrix * is a row matrix * An mxn matrix is a square matrix

More information

MATHEMATICS. MINIMUM LEVEL MATERIAL for CLASS XII Project Planned By. Honourable Shri D. Manivannan Deputy Commissioner,KVS RO Hyderabad

MATHEMATICS. MINIMUM LEVEL MATERIAL for CLASS XII Project Planned By. Honourable Shri D. Manivannan Deputy Commissioner,KVS RO Hyderabad MATHEMATICS MINIMUM LEVEL MATERIAL for CLASS XII 06 7 Project Planned By Honourable Shri D. Manivannan Deputy Commissioner,KVS RO Hyderabad Prepared by M. S. KUMARSWAMY, TGT(MATHS) M. Sc. Gold Medallist

More information

FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- MARCH, 2013

FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- MARCH, 2013 TED (10)-1002 (REVISION-2010) Reg. No.. Signature. FIRST SEMESTER DIPLOMA EXAMINATION IN ENGINEERING/ TECHNOLIGY- MARCH, 2013 TECHNICAL MATHEMATICS- I (Common Except DCP and CABM) (Maximum marks: 100)

More information

Rao IIT Academy/ ISC - Board 2018_Std XII_Mathematics_QP + Solutions JEE MEDICAL-UG BOARDS KVPY NTSE OLYMPIADS. XII - ISC Board

Rao IIT Academy/ ISC - Board 2018_Std XII_Mathematics_QP + Solutions JEE MEDICAL-UG BOARDS KVPY NTSE OLYMPIADS. XII - ISC Board Rao IIT Academy/ ISC - Board 8_Std XII_Mathematics_QP + Solutions JEE MEDICAL-UG BOARDS KVPY NTSE OLYMPIADS XII - ISC Board MATHEMATICS - QP + SOLUTIONS Date: 6..8 Ma. Marks : Question SECTION - A (8 Marks)

More information

Page 1 MATHEMATICS

Page 1 MATHEMATICS PREPARED BY :S.MANIKANDAN., VICE PRINCIPAL., JOTHI VIDHYALAYA MHSS., ELAMPILLAI., SALEM., 94798 Page + MATHEMATICS PREPARED BY :S.MANIKANDAN., VICE PRINCIPAL., JOTHI VIDHYALAYA MHSS., ELAMPILLAI., SALEM.,

More information

All Rights Reserved Wiley India Pvt. Ltd. 1

All Rights Reserved Wiley India Pvt. Ltd. 1 Question numbers to carry mark each. CBSE MATHEMATICS SECTION A. If R = {(, y) : + y = 8} is a relation of N, write the range of R. R = {(, y)! + y = 8} a relation of N. y = 8 y must be Integer So Can

More information

CHAPTER 8: Matrices and Determinants

CHAPTER 8: Matrices and Determinants (Exercises for Chapter 8: Matrices and Determinants) E.8.1 CHAPTER 8: Matrices and Determinants (A) means refer to Part A, (B) means refer to Part B, etc. Most of these exercises can be done without a

More information

Matrices and Linear Algebra

Matrices and Linear Algebra Contents Quantitative methods for Economics and Business University of Ferrara Academic year 2017-2018 Contents 1 Basics 2 3 4 5 Contents 1 Basics 2 3 4 5 Contents 1 Basics 2 3 4 5 Contents 1 Basics 2

More information

oo ks. co m w w w.s ur ab For Order : orders@surabooks.com Ph: 960075757 / 84000 http://www.trbtnpsc.com/07/08/th-eam-model-question-papers-download.html Model Question Papers Based on Scheme of Eamination

More information

Components and change of basis

Components and change of basis Math 20F Linear Algebra Lecture 16 1 Components and change of basis Slide 1 Review: Isomorphism Review: Components in a basis Unique representation in a basis Change of basis Review: Isomorphism Definition

More information

Board Answer Paper: MARCH 2014

Board Answer Paper: MARCH 2014 Board Answer Paper: MARCH 04 and Statistics SECTION I Q.. (A) Select and write the correct answer from the given alternatives in each of the following: i. (C) Let l 0, m 3, n be the direction cosines of

More information

4. Determinants.

4. Determinants. 4. Determinants 4.1. Determinants; Cofactor Expansion Determinants of 2 2 and 3 3 Matrices 2 2 determinant 4.1. Determinants; Cofactor Expansion Determinants of 2 2 and 3 3 Matrices 3 3 determinant 4.1.

More information

MATHEMATICS. Time allowed : 3 hours Maximum Marks : 100

MATHEMATICS. Time allowed : 3 hours Maximum Marks : 100 MATHEMATICS Time allowed : hours Maimum Marks : General Instructions:. All questions are compulsory.. The question paper consists of 9 questions divided into three sections, A, B and C. Section A comprises

More information

Prepared by: M. S. KumarSwamy, TGT(Maths) Page

Prepared by: M. S. KumarSwamy, TGT(Maths) Page Prepared b: M. S. KumarSwam, TGT(Maths) Page - 77 - CHAPTER 4: DETERMINANTS QUICK REVISION (Important Concepts & Formulae) Determinant a b If A = c d, then determinant of A is written as A = a b = det

More information

WINTER 16 EXAMINATION

WINTER 16 EXAMINATION (ISO/IEC - 700-005 Certified) WINTER 6 EXAMINATION Model wer ject Code: Important Instructions to examiners: ) The answers should be examined by key words and not as word-to-word as given in the model

More information

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra 1.1. Introduction SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear algebra is a specific branch of mathematics dealing with the study of vectors, vector spaces with functions that

More information

MT - GEOMETRY - SEMI PRELIM - I : PAPER - 1

MT - GEOMETRY - SEMI PRELIM - I : PAPER - 1 07 00 MT A.. Attempt ANY FIVE of the following : (i) Slope of the line (m) 5 intercept of the line (c) B slope intercept form, The equation of the line is m + c 5 () + ( ) 5 MT - GEOMETRY - SEMI PRELIM

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors 5 Eigenvalues and Eigenvectors 5.2 THE CHARACTERISTIC EQUATION DETERMINANATS nn Let A be an matrix, let U be any echelon form obtained from A by row replacements and row interchanges (without scaling),

More information

Mock Exam 3. 1 Hong Kong Educational Publishing Company. Section A. 1. Reference: HKDSE Math M Q1 (a) (1 + 2x) 2 (1 - x) n

Mock Exam 3. 1 Hong Kong Educational Publishing Company. Section A. 1. Reference: HKDSE Math M Q1 (a) (1 + 2x) 2 (1 - x) n Mock Eam Mock Eam Section A. Reference: HKDSE Math M 0 Q (a) ( + ) ( - ) n nn ( ) ( + + ) n + + Coefficient of - n - n -7 n (b) Coefficient of nn ( - ) - n + (- ) - () + (). Reference: HKDSE Math M PP

More information

C.B.S.E Class XII Delhi & Outside Delhi Sets

C.B.S.E Class XII Delhi & Outside Delhi Sets SOLVED PAPER With CBSE Marking Scheme C.B.S.E. 8 Class XII Delhi & Outside Delhi Sets Mathematics Time : Hours Ma. Marks : General Instructions : (i) All questions are compulsory. (ii) The question paper

More information

Matrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices

Matrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices Matrices A. Fabretti Mathematics 2 A.Y. 2015/2016 Table of contents Matrix Algebra Determinant Inverse Matrix Introduction A matrix is a rectangular array of numbers. The size of a matrix is indicated

More information

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product.

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. MATH 311-504 Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. Determinant is a scalar assigned to each square matrix. Notation. The determinant of a matrix A = (a ij

More information

Get Solution of These Packages & Learn by Video Tutorials on Matrices

Get Solution of These Packages & Learn by Video Tutorials on  Matrices FEE Download Stud Package from website: wwwtekoclassescom & wwwmathsbsuhagcom Get Solution of These Packages & Learn b Video Tutorials on wwwmathsbsuhagcom Matrices An rectangular arrangement of numbers

More information

63487 [Q. Booklet Number]

63487 [Q. Booklet Number] WBJEE - 0 (Answers & Hints) 687 [Q. Booklet Number] Regd. Office : Aakash Tower, Plot No., Sector-, Dwarka, New Delhi-0075 Ph. : 0-7656 Fa : 0-767 ANSWERS & HINTS for WBJEE - 0 by & Aakash IIT-JEE MULTIPLE

More information

ANALYTICAL MATHEMATICS FOR APPLICATIONS 2018 LECTURE NOTES 3

ANALYTICAL MATHEMATICS FOR APPLICATIONS 2018 LECTURE NOTES 3 ANALYTICAL MATHEMATICS FOR APPLICATIONS 2018 LECTURE NOTES 3 ISSUED 24 FEBRUARY 2018 1 Gaussian elimination Let A be an (m n)-matrix Consider the following row operations on A (1) Swap the positions any

More information

ENGI 9420 Lecture Notes 2 - Matrix Algebra Page Matrix operations can render the solution of a linear system much more efficient.

ENGI 9420 Lecture Notes 2 - Matrix Algebra Page Matrix operations can render the solution of a linear system much more efficient. ENGI 940 Lecture Notes - Matrix Algebra Page.0. Matrix Algebra A linear system of m equations in n unknowns, a x + a x + + a x b (where the a ij and i n n a x + a x + + a x b n n a x + a x + + a x b m

More information

Cayley-Hamilton Theorem

Cayley-Hamilton Theorem Cayley-Hamilton Theorem Massoud Malek In all that follows, the n n identity matrix is denoted by I n, the n n zero matrix by Z n, and the zero vector by θ n Let A be an n n matrix Although det (λ I n A

More information

Special Mathematics Notes

Special Mathematics Notes Special Mathematics Notes Tetbook: Classroom Mathematics Stds 9 & 10 CHAPTER 6 Trigonometr Trigonometr is a stud of measurements of sides of triangles as related to the angles, and the application of this

More information

MATRICES AND MATRIX OPERATIONS

MATRICES AND MATRIX OPERATIONS SIZE OF THE MATRIX is defined by number of rows and columns in the matrix. For the matrix that have m rows and n columns we say the size of the matrix is m x n. If matrix have the same number of rows (n)

More information

LINEAR ALGEBRA SUMMARY SHEET.

LINEAR ALGEBRA SUMMARY SHEET. LINEAR ALGEBRA SUMMARY SHEET RADON ROSBOROUGH https://intuitiveexplanationscom/linear-algebra-summary-sheet/ This document is a concise collection of many of the important theorems of linear algebra, organized

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Introduction to Matrix Algebra August 18, 2010 1 Vectors 1.1 Notations A p-dimensional vector is p numbers put together. Written as x 1 x =. x p. When p = 1, this represents a point in the line. When p

More information

Matrices Gaussian elimination Determinants. Graphics 2009/2010, period 1. Lecture 4: matrices

Matrices Gaussian elimination Determinants. Graphics 2009/2010, period 1. Lecture 4: matrices Graphics 2009/2010, period 1 Lecture 4 Matrices m n matrices Matrices Definitions Diagonal, Identity, and zero matrices Addition Multiplication Transpose and inverse The system of m linear equations in

More information

CHAPTER 10 VECTORS POINTS TO REMEMBER

CHAPTER 10 VECTORS POINTS TO REMEMBER For more important questions visit : www4onocom CHAPTER 10 VECTORS POINTS TO REMEMBER A quantity that has magnitude as well as direction is called a vector It is denoted by a directed line segment Two

More information

CBSE Board Paper Class-XII. Time allowed : 3 hours Maximum Marks : 100

CBSE Board Paper Class-XII. Time allowed : 3 hours Maximum Marks : 100 L.K.Gupta (Mathematic Classes) www.poineermathematics.com. MOBILE: 98155771, 461771 CBSE Board Paper -011 Class-XII (SET-1) Time allowed : hours Maimum Marks : 100 General Instructions: (i) All questions

More information

Study Material Class XII - Mathematics

Study Material Class XII - Mathematics Study Material Class XII - Mathematics 2016-17 1 & 2 MARKS QUESTIONS PREPARED BY KENDRIYA VIDYALAYA SANGATHAN TINSUKIA REGION Study Material Class XII Mathematics 2016-17 1 & 2 MARKS QUESTIONS CHIEF PATRON

More information

In this chapter a student has to learn the Concept of adjoint of a matrix. Inverse of a matrix. Rank of a matrix and methods finding these.

In this chapter a student has to learn the Concept of adjoint of a matrix. Inverse of a matrix. Rank of a matrix and methods finding these. MATRICES UNIT STRUCTURE.0 Objectives. Introduction. Definitions. Illustrative eamples.4 Rank of matri.5 Canonical form or Normal form.6 Normal form PAQ.7 Let Us Sum Up.8 Unit End Eercise.0 OBJECTIVES In

More information

XII_Maths Chapter Notes

XII_Maths Chapter Notes BRILLIANT PUBLIC SCHOOL, SITAMARHI (Affiliated up to + level to C.B.S.E., New Delhi) XII_Maths Chapter Notes Session: 014-15 Office: Rajopatti, Dumra Road, Sitamarhi (Bihar), Pin-843301 Ph.066-5314, Mobile:9431636758,

More information

Trigonometric Identities Exam Questions

Trigonometric Identities Exam Questions Trigonometric Identities Exam Questions Name: ANSWERS January 01 January 017 Multiple Choice 1. Simplify the following expression: cos x 1 cot x a. sin x b. cos x c. cot x d. sec x. Identify a non-permissible

More information

1 / 23

1 / 23 CBSE-XII-017 EXAMINATION CBSE-X-008 EXAMINATION MATHEMATICS Series: RLH/ Paper & Solution Code: 30//1 Time: 3 Hrs. Max. Marks: 80 General Instuctions : (i) All questions are compulsory. (ii) The question

More information

For more information visit here:

For more information visit here: The length or the magnitude of the vector = (a, b, c) is defined by w = a 2 +b 2 +c 2 A vector may be divided by its own length to convert it into a unit vector, i.e.? = u / u. (The vectors have been denoted

More information

Matrix operations Linear Algebra with Computer Science Application

Matrix operations Linear Algebra with Computer Science Application Linear Algebra with Computer Science Application February 14, 2018 1 Matrix operations 11 Matrix operations If A is an m n matrix that is, a matrix with m rows and n columns then the scalar entry in the

More information

Hyperbolic Geometry Solutions

Hyperbolic Geometry Solutions Hyperbolic Geometry Solutions LAMC November 11, 2018 Problem 1.3. b) By Power of a Point (Problem 1.1) we have ON OM = OA 2 = r 2, so each orthogonal circle is fixed under inversion. c) Lines through O,

More information

Review of Linear Algebra

Review of Linear Algebra Review of Linear Algebra Definitions An m n (read "m by n") matrix, is a rectangular array of entries, where m is the number of rows and n the number of columns. 2 Definitions (Con t) A is square if m=

More information

Notes for Advanced Level Further Mathematics. (iii) =1, hence are parametric

Notes for Advanced Level Further Mathematics. (iii) =1, hence are parametric Hyperbolic Functions We define the hyperbolic cosine, sine tangent by also of course Notes for Advanced Level Further Mathematics, The following give some justification for the 'invention' of these functions.

More information

Symmetric and anti symmetric matrices

Symmetric and anti symmetric matrices Symmetric and anti symmetric matrices In linear algebra, a symmetric matrix is a square matrix that is equal to its transpose. Formally, matrix A is symmetric if. A = A Because equal matrices have equal

More information

Matrix & Linear Algebra

Matrix & Linear Algebra Matrix & Linear Algebra Jamie Monogan University of Georgia For more information: http://monogan.myweb.uga.edu/teaching/mm/ Jamie Monogan (UGA) Matrix & Linear Algebra 1 / 84 Vectors Vectors Vector: A

More information

Time : 2 Hours (Pages 3) Max. Marks : 40. Q.1. Solve the following : (Any 5) 5 In PQR, m Q = 90º, m P = 30º, m R = 60º. If PR = 8 cm, find QR.

Time : 2 Hours (Pages 3) Max. Marks : 40. Q.1. Solve the following : (Any 5) 5 In PQR, m Q = 90º, m P = 30º, m R = 60º. If PR = 8 cm, find QR. Q.P. SET CODE Q.1. Solve the following : (ny 5) 5 (i) (ii) In PQR, m Q 90º, m P 0º, m R 60º. If PR 8 cm, find QR. O is the centre of the circle. If m C 80º, the find m (arc C) and m (arc C). Seat No. 01

More information

n n matrices The system of m linear equations in n variables x 1, x 2,..., x n can be written as a matrix equation by Ax = b, or in full

n n matrices The system of m linear equations in n variables x 1, x 2,..., x n can be written as a matrix equation by Ax = b, or in full n n matrices Matrices Definitions Diagonal, Identity, and zero matrices Addition Multiplication Transpose and inverse The system of m linear equations in n variables x 1, x 2,..., x n a 11 x 1 + a 12 x

More information

MT - GEOMETRY - SEMI PRELIM - I : PAPER - 4

MT - GEOMETRY - SEMI PRELIM - I : PAPER - 4 07 00 MT A.. Attempt ANY FIVE of the following : (i) Slope of the line (m) 4 y intercept of the line (c) 0 By slope intercept form, The equation of the line is y m + c y (4) + (0) y 4 MT - GEOMETRY - SEMI

More information

9. The determinant. Notation: Also: A matrix, det(a) = A IR determinant of A. Calculation in the special cases n = 2 and n = 3:

9. The determinant. Notation: Also: A matrix, det(a) = A IR determinant of A. Calculation in the special cases n = 2 and n = 3: 9. The determinant The determinant is a function (with real numbers as values) which is defined for square matrices. It allows to make conclusions about the rank and appears in diverse theorems and formulas.

More information

Linear Algebra. Matrices Operations. Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0.

Linear Algebra. Matrices Operations. Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0. Matrices Operations Linear Algebra Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0 The rectangular array 1 2 1 4 3 4 2 6 1 3 2 1 in which the

More information

3D GEOMETRY. 3D-Geometry. If α, β, γ are angle made by a line with positive directions of x, y and z. axes respectively show that = 2.

3D GEOMETRY. 3D-Geometry. If α, β, γ are angle made by a line with positive directions of x, y and z. axes respectively show that = 2. D GEOMETRY ) If α β γ are angle made by a line with positive directions of x y and z axes respectively show that i) sin α + sin β + sin γ ii) cos α + cos β + cos γ + 0 Solution:- i) are angle made by a

More information

Matrices A brief introduction

Matrices A brief introduction Matrices A brief introduction Basilio Bona DAUIN Politecnico di Torino Semester 1, 2014-15 B. Bona (DAUIN) Matrices Semester 1, 2014-15 1 / 41 Definitions Definition A matrix is a set of N real or complex

More information

Homework Set #8 Solutions

Homework Set #8 Solutions Exercises.2 (p. 19) Homework Set #8 Solutions Assignment: Do #6, 8, 12, 14, 2, 24, 26, 29, 0, 2, 4, 5, 6, 9, 40, 42 6. Reducing the matrix to echelon form: 1 5 2 1 R2 R2 R1 1 5 0 18 12 2 1 R R 2R1 1 5

More information

MATH Non-Euclidean Geometry Exercise Set #9 Solutions

MATH Non-Euclidean Geometry Exercise Set #9 Solutions MATH 6118-090 Non-Euclidean Geometry Exercise Set #9 Solutions 1. Consider the doubly asymptotic triangle AMN in H where What is the image of AMN under the isometry γ 1? Use this to find the hyperbolic

More information

Things we can already do with matrices. Unit II - Matrix arithmetic. Defining the matrix product. Things that fail in matrix arithmetic

Things we can already do with matrices. Unit II - Matrix arithmetic. Defining the matrix product. Things that fail in matrix arithmetic Unit II - Matrix arithmetic matrix multiplication matrix inverses elementary matrices finding the inverse of a matrix determinants Unit II - Matrix arithmetic 1 Things we can already do with matrices equality

More information

MATHEMATICS. r Statement I Statement II p q ~p ~q ~p q q p ~(p ~q) F F T T F F T F T T F T T F T F F T T T F T T F F F T T

MATHEMATICS. r Statement I Statement II p q ~p ~q ~p q q p ~(p ~q) F F T T F F T F T T F T T F T F F T T T F T T F F F T T MATHEMATICS Directions : Questions number to 5 are Assertion-Reason type questions. Each of these questions contains two statements : Statement- (Assertion) and Statement- (Reason). Each of these questions

More information

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 1 x 2. x n 8 (4) 3 4 2

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 1 x 2. x n 8 (4) 3 4 2 MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS SYSTEMS OF EQUATIONS AND MATRICES Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a

More information

Exercise Set Suppose that A, B, C, D, and E are matrices with the following sizes: A B C D E

Exercise Set Suppose that A, B, C, D, and E are matrices with the following sizes: A B C D E Determine the size of a given matrix. Identify the row vectors and column vectors of a given matrix. Perform the arithmetic operations of matrix addition, subtraction, scalar multiplication, and multiplication.

More information

c c c c c c c c c c a 3x3 matrix C= has a determinant determined by

c c c c c c c c c c a 3x3 matrix C= has a determinant determined by Linear Algebra Determinants and Eigenvalues Introduction: Many important geometric and algebraic properties of square matrices are associated with a single real number revealed by what s known as the determinant.

More information

Matrices. Chapter Definitions and Notations

Matrices. Chapter Definitions and Notations Chapter 3 Matrices 3. Definitions and Notations Matrices are yet another mathematical object. Learning about matrices means learning what they are, how they are represented, the types of operations which

More information

Solution Set 7, Fall '12

Solution Set 7, Fall '12 Solution Set 7, 18.06 Fall '12 1. Do Problem 26 from 5.1. (It might take a while but when you see it, it's easy) Solution. Let n 3, and let A be an n n matrix whose i, j entry is i + j. To show that det

More information

LIST OF MEMBERS WHO PREPARED QUESTION BANK FOR MATHEMATICS FOR CLASS XII TEAM MEMBERS. Sl. No. Name Designation

LIST OF MEMBERS WHO PREPARED QUESTION BANK FOR MATHEMATICS FOR CLASS XII TEAM MEMBERS. Sl. No. Name Designation LIST OF MEMBERS WHO PREPARED QUESTION BANK FOR MATHEMATICS FOR CLASS XII TEAM MEMBERS Sl. No. Name Designation. Sh. S.B. Tripathi R.S.B.V., Jheel Khuranja (Group Leader) Delhi. (M. 98086). Sh. Sanjeev

More information

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and Section 5.5. Matrices and Vectors A matrix is a rectangular array of objects arranged in rows and columns. The objects are called the entries. A matrix with m rows and n columns is called an m n matrix.

More information

90 Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions. Name Class. (a) (b) ln x (c) (a) (b) (c) 1 x. y e (a) 0 (b) y.

90 Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions. Name Class. (a) (b) ln x (c) (a) (b) (c) 1 x. y e (a) 0 (b) y. 90 Chapter 5 Logarithmic, Eponential, and Other Transcendental Functions Test Form A Chapter 5 Name Class Date Section. Find the derivative: f ln. 6. Differentiate: y. ln y y y y. Find dy d if ey y. y

More information

Part (1) Second : Trigonometry. Tan

Part (1) Second : Trigonometry. Tan Part (1) Second : Trigonometry (1) Complete the following table : The angle Ratio 42 12 \ Sin 0.3214 Cas 0.5321 Tan 2.0625 (2) Complete the following : 1) 46 36 \ 24 \\ =. In degrees. 2) 44.125 = in degrees,

More information

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to 1.1. Introduction Linear algebra is a specific branch of mathematics dealing with the study of vectors, vector spaces with functions that

More information

Linear Algebra Primer

Linear Algebra Primer Introduction Linear Algebra Primer Daniel S. Stutts, Ph.D. Original Edition: 2/99 Current Edition: 4//4 This primer was written to provide a brief overview of the main concepts and methods in elementary

More information

1 Determinants. 1.1 Determinant

1 Determinants. 1.1 Determinant 1 Determinants [SB], Chapter 9, p.188-196. [SB], Chapter 26, p.719-739. Bellow w ll study the central question: which additional conditions must satisfy a quadratic matrix A to be invertible, that is to

More information

Determinants by Cofactor Expansion (III)

Determinants by Cofactor Expansion (III) Determinants by Cofactor Expansion (III) Comment: (Reminder) If A is an n n matrix, then the determinant of A can be computed as a cofactor expansion along the jth column det(a) = a1j C1j + a2j C2j +...

More information

Topic 1: Matrix diagonalization

Topic 1: Matrix diagonalization Topic : Matrix diagonalization Review of Matrices and Determinants Definition A matrix is a rectangular array of real numbers a a a m a A = a a m a n a n a nm The matrix is said to be of order n m if it

More information

Review Let A, B, and C be matrices of the same size, and let r and s be scalars. Then

Review Let A, B, and C be matrices of the same size, and let r and s be scalars. Then 1 Sec 21 Matrix Operations Review Let A, B, and C be matrices of the same size, and let r and s be scalars Then (i) A + B = B + A (iv) r(a + B) = ra + rb (ii) (A + B) + C = A + (B + C) (v) (r + s)a = ra

More information

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and

A matrix is a rectangular array of. objects arranged in rows and columns. The objects are called the entries. is called the size of the matrix, and Section 5.5. Matrices and Vectors A matrix is a rectangular array of objects arranged in rows and columns. The objects are called the entries. A matrix with m rows and n columns is called an m n matrix.

More information

Math Linear Algebra Final Exam Review Sheet

Math Linear Algebra Final Exam Review Sheet Math 15-1 Linear Algebra Final Exam Review Sheet Vector Operations Vector addition is a component-wise operation. Two vectors v and w may be added together as long as they contain the same number n of

More information

Equality: Two matrices A and B are equal, i.e., A = B if A and B have the same order and the entries of A and B are the same.

Equality: Two matrices A and B are equal, i.e., A = B if A and B have the same order and the entries of A and B are the same. Introduction Matrix Operations Matrix: An m n matrix A is an m-by-n array of scalars from a field (for example real numbers) of the form a a a n a a a n A a m a m a mn The order (or size) of A is m n (read

More information

CP3 REVISION LECTURES VECTORS AND MATRICES Lecture 1. Prof. N. Harnew University of Oxford TT 2013

CP3 REVISION LECTURES VECTORS AND MATRICES Lecture 1. Prof. N. Harnew University of Oxford TT 2013 CP3 REVISION LECTURES VECTORS AND MATRICES Lecture 1 Prof. N. Harnew University of Oxford TT 2013 1 OUTLINE 1. Vector Algebra 2. Vector Geometry 3. Types of Matrices and Matrix Operations 4. Determinants

More information

Math 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Math 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Exam 2 will be held on Tuesday, April 8, 7-8pm in 117 MacMillan What will be covered The exam will cover material from the lectures

More information