Matrices Ch 3 31.10.06 - NCERT

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56MATHEMATICSChapter3heMATRICES3.1 Introductionis The essence of Mathematics lies in its freedom. — CANTOR no NCtt Eo Rbe TrepublThe knowledge of matrices is necessary in various branches of mathematics. Matricesare one of the most powerful tools in mathematics. This mathematical tool simplifiesour work to a great extent when compared with other straight forward methods. Theevolution of concept of matrices is the result of an attempt to obtain compact andsimple methods of solving system of linear equations. Matrices are not only used as arepresentation of the coefficients in system of linear equations, but utility of matricesfar exceeds that use. Matrix notation and operations are used in electronic spreadsheetprograms for personal computer, which in turn is used in different areas of businessand science like budgeting, sales projection, cost estimation, analysing the results of anexperiment etc. Also, many physical operations such as magnification, rotation andreflection through a plane can be represented mathematically by matrices. Matricesare also used in cryptography. This mathematical tool is not only used in certain branchesof sciences, but also in genetics, economics, sociology, modern psychology and industrialmanagement.In this chapter, we shall find it interesting to become acquainted with thefundamentals of matrix and matrix algebra.3.2 MatrixSuppose we wish to express the information that Radha has 15 notebooks. We mayexpress it as [15] with the understanding that the number inside [ ] is the number ofnotebooks that Radha has. Now, if we have to express that Radha has 15 notebooksand 6 pens. We may express it as [15 6] with the understanding that first numberinside [ ] is the number of notebooks while the other one is the number of pens possessedby Radha. Let us now suppose that we wish to express the information of possession

MATRICES57of notebooks and pens by Radha and her two friends Fauzia and Simran whichis as follows:he6 pens,2 pens,5 pens. no NCtt Eo Rbe sandSimranhas13notebooksandNow this could be arranged in the tabular form as follows:NotebooksPensRadha156Fauzia102Simran135and this can be expressed asorRadhaNotebooks15Pens6which can be expressed as:Fauzia102Simran135In the first arrangement the entries in the first column represent the number ofnote books possessed by Radha, Fauzia and Simran, respectively and the entries in thesecond column represent the number of pens possessed by Radha, Fauzia and Simran,

58MATHEMATICSherespectively. Similarly, in the second arrangement, the entries in the first row representthe number of notebooks possessed by Radha, Fauzia and Simran, respectively. Theentries in the second row represent the number of pens possessed by Radha, Fauziaand Simran, respectively. An arrangement or display of the above kind is called amatrix. Formally, we define matrix as:Definition 1 A matrix is an ordered rectangular array of numbers or functions. Thenumbers or functions are called the elements or the entries of the matrix.We denote matrices by capital letters. The following are some examples of matrices:is1 2 i 3 2 5 1 x 3 x3 5 , B 3.5 –1 2 , C cos x sin x 2 tan x 56 3 5 7 bl – 2 A 0 3 no NCtt Eo Rbe TrepuIn the above examples, the horizontal lines of elements are said to constitute, rowsof the matrix and the vertical lines of elements are said to constitute, columns of thematrix. Thus A has 3 rows and 2 columns, B has 3 rows and 3 columns while C has 2rows and 3 columns.3.2.1 Order of a matrixA matrix having m rows and n columns is called a matrix of order m n or simply m nmatrix (read as an m by n matrix). So referring to the above examples of matrices, wehave A as 3 2 matrix, B as 3 3 matrix and C as 2 3 matrix. We observe that A has3 2 6 elements, B and C have 9 and 6 elements, respectively.In general, an m n matrix has the following rectangular array:or A [aij]m n, 1 i m, 1 j n i, j NThus the ith row consists of the elements ai1, ai2, ai3,., ain, while the jth columnconsists of the elements a1j, a2j, a3j,., amj ,In general aij, is an element lying in the ith row and jth column. We can also callit as the (i, j)th element of A. The number of elements in an m n matrix will beequal to mn.

MATRICES Note59In this chapter1. We shall follow the notation, namely A [aij]m n to indicate that A is a matrixof order m n.he2. We shall consider only those matrices whose elements are real numbers orfunctions taking real values.We can also represent any point (x, y) in a plane by a matrix (column or row) asbl 0 P or [0 1]. 1 is x y (or [x, y]). For example point P(0, 1) as a matrix representation may be given as no NCtt Eo Rbe TrepuObserve that in this way we can also express the vertices of a closed rectilinearfigure in the form of a matrix. For example, consider a quadrilateral ABCD with verticesA (1, 0), B (3, 2), C (1, 3), D (–1, 2).Now, quadrilateral ABCD in the matrix form, can be represented asA B C D 1 3 1 1 X or 0 2 3 2 2 4A 1B 3Y C 1 D 10 2 3 2 4 2Thus, matrices can be used as representation of vertices of geometrical figures ina plane.Now, let us consider some examples.Example 1 Consider the following information regarding the number of men and womenworkers in three factories I, II and IIIMen workersWomen workersI3025II2531III2726Represent the above information in the form of a 3 2 matrix. What does the entryin the third row and second column represent?

60MATHEMATICSSolution The information is represented in the form of a 3 2 matrix as follows: 30A 25 2725 31 26 heThe entry in the third row and second column represents the number of womenworkers in factory III.Example 2 If a matrix has 8 elements, what are the possible orders it can have? no NCtt Eo Rbe TrepuHence, possible orders are 1 8, 8 1, 4 2, 2 4blisSolution We know that if a matrix is of order m n, it has mn elements. Thus, to findall possible orders of a matrix with 8 elements, we will find all ordered pairs of naturalnumbers, whose product is 8.Thus, all possible ordered pairs are (1, 8), (8, 1), (4, 2), (2, 4)Example 3 Construct a 3 2 matrix whose elements are given by aij a11 a12 Solution In general a 3 2 matrix is given by A a21 a22 . a31 a32 1aij i 3 j , i 1, 2, 3 and j 1, 2.Now2Thereforea11 1 1 3 1 12a12 15 1 3 2 22a21 11 2 3 1 22a22 1 2 3 2 22a31 1 3 3 1 02a32 13 3 3 2 22 1 1Hence the required matrix is given by A 2 0 5 2 2 .3 2 1 i 3j .2

MATRICES613.3 Types of MatricesIn this section, we shall discuss different types of matrices.(i) Column matrixis 0 3 For example, A 1 is a column matrix of order 4 1. 1/ 2 heA matrix is said to be a column matrix if it has only one column.In general, A [aij] m 1 is a column matrix of order m 1.bl(ii) Row matrixA matrix is said to be a row matrix if it has only one row. 5 2 3 is a row matrix. 1 4 no NCtt Eo Rbe Trepu 1For example, B 2In general, B [bij] 1 n is a row matrix of order 1 n.(iii) Square matrixA matrix in which the number of rows are equal to the number of columns, issaid to be a square matrix. Thus an m n matrix is said to be a square matrix ifm n and is known as a square matrix of order ‘n’. 3 1 3 A3 2For example 2 3 40 1 is a square matrix of order 3. 1 In general, A [aij] m m is a square matrix of order m. Note If A [a ] is a square matrix of order n, then elements (entries) a , a , ., aij1122 1 3 1 are said to constitute the diagonal, of the matrix A. Thus, if A 2 4 1 . 3 5 6 Then the elements of the diagonal of A are 1, 4, 6.nn

62MATHEMATICS(iv) Diagonal matrixA square matrix B [bij] m m is said to be a diagonal matrix if all its nondiagonal elements are zero, that is a matrix B [bij] m m is said to be a diagonalmatrix if bij 0, when i j.he 1.1 0 0 1 0 2 0 , are diagonal matricesFor example, A [4], B , C 002 00 3 no NCtt Eo Rbe Trepublisof order 1, 2, 3, respectively.(v) Scalar matrixA diagonal matrix is said to be a scalar matrix if its diagonal elements are equal,that is, a square matrix B [bij] n n is said to be a scalar matrix ifbij 0, when i jbij k, when i j, for some constant k.For exampleA [3], 1 0 B , 0 1 3 C 0 00300 0 3 are scalar matrices of order 1, 2 and 3, respectively.(vi) Identity matrixA square matrix in which elements in the diagonal are all 1 and rest are all zerois called an identity matrix. In other words, the square matrix A [aij] n n is an 1 if i jidentity matrix, if aij . 0 if i jWe denote the identity matrix of order n by In. When order is clear from thecontext, we simply write it as I. 1 0 0 1 0 0 1 0 are identity matrices of order 1, 2 and 3,For example [1], , 0 1 0 0 1 respectively.Observe that a scalar matrix is an identity matrix when k 1. But every identitymatrix is clearly a scalar matrix.

MATRICES63(vii) Zero matrixA matrix is said to be zero matrix or null matrix if all its elements are zero.he 0 0 0 0 0 For example, [0], , , [0, 0] are all zero matrices. We denote 0 0 0 0 0 zero matrix by O. Its order will be clear from the context.3.3.1 Equality of matricesisDefinition 2 Two matrices A [aij] and B [bij] are said to be equal if(i) they are of the same orderbl(ii) each element of A is equal to the corresponding element of B, that is aij bij forall i and j. no NCtt Eo Rbe Trepu 2 3 2 3 3 2 2 3 and and For example, are equal matrices but are 0 1 0 1 0 1 0 1 not equal matrices. Symbolically, if two matrices A and B are equal, we write A B. x y 1.5 If z a 2 b c 30 6 , then x – 1.5, y 0, z 2, a 2 6 , b 3, c 26 3y 2 x 3 z 4 2 y 7 0 6 a 1 0 6 3 2c 2 Example 4 If b 3 210 2b 4 210 Find the values of a, b, c, x, y and z.Solution As the given matrices are equal, therefore, their corresponding elementsmust be equal. Comparing the corresponding elements, we getx 3 0,z 4 6,2y – 7 3y – 2a – 1 – 3,0 2c 2b – 3 2b 4,Simplifying, we geta – 2, b – 7, c – 1, x – 3, y –5, z 2Example 5 Find the values of a, b, c, and d from the following equation: 2a b a 2b 4 3 5c d 4c 3d 11 24

64MATHEMATICSheSolution By equality of two matrices, equating the corresponding elements, we get2a b 45c – d 11a – 2b – 34c 3d 24Solving these equations, we geta 1, b 2, c 3 and d 4bl5 19 7 2 512 , write:1. In the matrix A 35 22 3 1 5 17 isEXERCISE 3.1 no NCtt Eo Rbe Trepu(i) The order of the matrix,(ii) The number of elements,(iii) Write the elements a13, a21, a33, a24, a23.2. If a matrix has 24 elements, what are the possible orders it can have? What, if ithas 13 elements?3. If a matrix has 18 elements, what are the possible orders it can have? What, if ithas 5 elements?4. Construct a 2 2 matrix, A [aij], whose elements are given by:(i) aij (i j ) 22(ii) aij ij(iii) aij (i 2 j ) 225. Construct a 3 4 matrix, whose elements are given by:(i) aij 1 3i j 2(ii) aij 2i j6. Find the values of x, y and z from the following equations: 4 3 y z (i) x 5 1 5 x y(ii) 5 z2 6 2 (iii)xy 5 8 7. Find the value of a, b, c and d from the equation: a b 2 a c 1 5 2a b 3c d 0 13 x y z 9 x z 5 y z 7

MATRICES65(A) x 1, y 73(B) Not possible to findhe8. A [aij]m n\ is a square matrix, if(A) m n(B) m n(C) m n(D) None of these9. Which of the given values of x and y make the following pair of matrices equal5 0 y 2 3 x 7 y 1 2 3 x , 84 12 2, y(D) x33310. The number of all possible matrices of order 3 3 with each entry 0 or 1 is:(A) 27(B) 18(C) 81(D) 5123.4 Operations on Matricesblis(C) y 7, x no NCtt Eo Rbe TrepuIn this section, we shall introduce certain operations on matrices, namely, addition ofmatrices, multiplication of a matrix by a scalar, difference and multiplication of matrices.3.4.1 Addition of matricesSuppose Fatima has two factories at places A and B. Each factory produces sportshoes for boys and girls in three different price categories labelled 1, 2 and 3. Thequantities produced by each factory are represented as matrices given below:Suppose Fatima wants to know the total production of sport shoes in each pricecategory. Then the total productionIn category 1 : for boys (80 90), for girls (60 50)In category 2 : for boys (75 70), for girls (65 55)In category 3 : for boys (90 75), for girls (85 75) 80 90This can be represented in the matrix form as 75 70 90 7560 50 65 55 .85 75

66MATHEMATICSThis new matrix is the sum of the above two matrices. We observe that the sum oftwo matrices is a matrix obtained by adding the corresponding elements of the givenmatrices. Furthermore, the two matrices have to be of the same order.he a11 a12 a13 b11 b12 b13 Thus, if A is a 2 3 matrix and B is another a21 a22 a23 b21 b22 b23 is a11 b11 a12 b12 a13 b13 2 3 matrix. Then, we define A B . a21 b21 a22 b22 a23 b23 blIn general, if A [aij] and B [bij] are two matrices of the same order, say m n.Then, the sum of the two matrices A and B is defined as a matrix C [cij]m n, wherecij aij bij, for all possible values of i and j. no NCtt Eo Rbe Trepu 25 1 3 1 1 Example 6 Given A and B 1 , find A B230 2 3 2 Since A, B are of the same order 2 3. Therefore, addition of A and B is definedand is given by 2 3 1 5 1 1 2 3 1 5 0 A B 1 1 2 23 3 0 06 2 2 Note1. We emphasise that if A and B are not of the same order, then A B is not 2 3 1 2 3 defined. For example if A , B , then A B is not defined. 1 0 1 0 1 2. We may observe that addition of matrices is an example of binary operationon the set of matrices of the same order.3.4.2 Multiplication of a matrix by a scalarNow suppose that Fatima has doubled the production at a factory A in all categories(refer to 3.4.1).

MATRICES67Revised quantities produced by factory A are as given below:bl1 2 80 2 60 2 2 75 2 65 3 2 90 2 85 isBoys GirlshePreviously quantities (in standard units) produced by factory A were120 130 . We observe that170 no NCtt Eo Rbe Trepu 160This can be represented in the matrix form as 150 180the new matrix is obtained by multiplying each element of the previous matrix by 2.In general, we may define multiplication of a matrix by a scalar as follows: ifA [aij] m n is a matrix and k is a scalar, then kA is another matrix which is obtainedby multiplying each element of A by the scalar k.In other words, kA k [aij] m n [k (aij)] m n, that is, (i, j)th element of kA is kaijfor all possible values of i and j.For example, if 3 1 1.5 A 5 7 3 , then 2 0 5 3 4.5 3 1 1.5 9 3A 3 5 7 3 3 5 21 9 2 0 5 60 15 Negative of a matrix The negative of a matrix is denoted by – A. We define– A (– 1) A.

68MATHEMATICS 3 1 A , then – A is given by 5 x For example, letishe 3 1 3 1 – A (– 1) A ( 1) 5 x 5 x Difference of matrices If A [aij], B [bij] are two matrices of the same order,say m n, then difference A – B is defined as a matrix D [dij], where dij aij – bij,for all value of i and j. In other words, D A – B A (–1) B, that is sum of the matrixA and the matrix – B.Solution We have1 2 32 3 131 31 0 2 no NCtt Eo Rbe Trepu2A – B 2bl 1 2 3 3 1 3 and B Example 7 If A , then find 2A – B. 2 3 1 1 0 2 2 4 6 3 1 3 4 6 2 1 0 2 2 3 4 1 6 3 1 5 3 4 1 6 0 2 2 5 6 0 3.4.3 Properties of matrix additionThe addition of matrices satisfy the following properties:(i) Commutative Law If A [aij], B [bij] are matrices of the same order, saym n, then A B B A.NowA B [aij] [bij] [aij bij] [bij aij] (addition of numbers is commutative) ([bij] [aij]) B A(ii) Associative Law For any three matrices A [aij], B [bij], C [cij] of thesame order, say m n, (A B) C A (B C).Now(A B) C ([aij] [bij]) [cij] [aij bij] [cij] [(aij bij) cij](Why?) [aij (bij cij)] [aij] [(bij cij)] [aij] ([bij] [cij]) A (B C)

MATRICES69he(iii) Existence of additive identity Let A [a ij] be an m n matrix andO be an m n zero matrix, then A O O A A. In other words, O is theadditive identity for matrix addition.(iv) The existence of additive inverse Let A [aij]m n be any matrix, then wehave another matrix as – A [– aij]m n such that A (– A) (– A) A O. So– A is the additive inverse of A or negative of A.(ii) k (A B) k ([aij] [bij])bl(i) k(A B) k A kB, (ii) (k l)A k A l Ais3.4.4 Properties of scalar multiplication of a matrixIf A [aij] and B [bij] be two matrices of the same order, say m n, and k and l arescalars, then k [aij bij] [k (aij bij)] [(k aij) (k bij)] [k aij] [k bij] k [aij] k [bij] kA kB no NCtt Eo Rbe Trepu(iii) ( k l) A (k l) [aij] [(k l) aij] [k aij] [l aij] k [aij] l [aij] k A l A 8 0 2 2 Example 8 If A 4 2 and B 4 2 , then find the matrix X, such that 3 6 5 1 2A 3X 5B.Solution We have 2A 3X 5Bor2A 3X – 2A 5B – 2Aor2A – 2A 3X 5B – 2AorO 3X 5B – 2Aor3X 5B – 2A(Matrix addition is commutative)(– 2A is the additive inverse of 2A)(O is the additive identity)1(5B – 2A)3orX or 10 10 2 2 8 0 1 1 X 5 4 2 2 4 2 20 10 33 25 5 3 6 5 1 16 0 8 4 6 12

70MATHEMATICSbl 5 2 3 6 Solution We have ( X Y ) ( X Y ) . 0 9 0 1 is 5 2 3 6 Example 9 Find X and Y, if X Y and X Y . 0 9 0 1 he 10 2 3 10 16 10 0 6 10 1 1 4 14 2081041214 3 3 3 25 6 5 12 31 7 31 7 33 8 8 8 8 2X (X X) (Y – Y) 0 8 0 8 no NCtt Eo Rbe TrepuororX 12 8 8 4 4 0 8 0 4 Also 5 2 3 6 (X Y) – (X – Y) 0 9 0 1 or 5 3 2 6 2 4 (X – X) (Y Y) 2Y 9 1 0 0 10 orY 12 2 4 1 2 0 10 0 5 Example 10 Find the values of x and y from the following equation: x2 75 3 4 7 6 y 3 1 2 15 14 Solution We have x2 75 3 4 10 3 4 7 6 7 6 2 x y 3 1 2 2 15 14 15 14 14 2 y 6 1

MATRICESororori.e.10 4 2x 36 7 6 2 x 3 7 6 14 1 2 y 6 2 2 y 4 15 14 15 15 14 2x 3 72x 7 – 342x 2x andandandand2y – 4 142y 18(Why?)182y 9.heor71y no NCtt Eo Rbe TrepublisExample 11 Two farmers Ramkishan and Gurcharan Singh cultivates only threevarieties of rice namely Basmati, Permal and Naura. The sale (in Rupees) of thesevarieties of rice by both the farmers in the month of September and October are givenby the following matrices A and B.(i) Find the combined sales in September and October for each farmer in eachvariety.(ii) Find the decrease in sales from September to October.(iii) If both farmers receive 2% profit on gross sales, compute the profit for eachfarmer and for each variety sold in October.Solution(i) Combined sales in September and October for each farmer in each variety isgiven by

72MATHEMATICS2 B 0.02 B100is(iii) 2% of B he(ii) Change in sales from September to October is given bybl 0.02 no NCtt Eo Rbe Trepu Thus, in October Ramkishan receives Rs 100, Rs 200 and Rs 120 as pro

The knowledge of matrices is necessary in various branches of mathematics. Matrices are one of the most powerful tools in mathematics. This mathematical tool simplifies our work to a great extent when compared with other straight forward methods. The evolution of concept of matrices is the result of an attempt to obtain compact and

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