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Matrix: Definition, Order of a Matrix, Types and Trace

Matrix: Definition, Order of a Matrix, Types and Trace

The knowledge of matrices is necessary in various branches of mathematics.It simplifies our work to a great extent when compared with the other mathematical methods like a system of linear equations in three variables can be solved easily by using the matrix approach.

Matrix is not only used in branches of mathematics and science, but also in genetics, economics, and modern psychology. The result of an experiment can be analyzed easily if represented mathematically by matrices. Now, let us understand some important  basic concepts of Matrices. 

Table of Contents:

  • Definition of matrix
  • Order of a matrix
  • Types of matrices
  • Trace of a Matrix
  • Properties of Trace of Matrix
  • Practice Problems
  • FAQs

Definition of Matrix

A matrix is a rectangular arrangement(array) of numbers, variables, or expressions in the form of rows and columns.The numbers or variables inserted are called elements or entries of the matrix.Matrix is denoted by the capital letters while elements of the matrix by small letters.

A matrix is alway enclosed within [  ] or (.).Lets understand this with some examples,


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mn>4</mn></mtd></mtr><mtr><mtd><mfrac><mn>3</mn><mn>2</mn></mfrac></mtd><mtd><mo>-</mo><mn>1</mn></mtd></mtr></mtable></mfenced><mo>,</mo><mi>B</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn><mo>+</mo><mi>x</mi></mtd><mtd><msup><mi>x</mi><mn>2</mn></msup></mtd></mtr><mtr><mtd><mn>1</mn></mtd><mtd><msup><mi>e</mi><mi>x</mi></msup></mtd></mtr><mtr><mtd><mi>cos</mi><mfenced><mi>x</mi></mfenced></mtd><mtd><mi>sin</mi><mfenced><mi>x</mi></mfenced></mtd></mtr></mtable></mfenced><mo>,</mo><mi>C</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><msqrt><mn>5</mn></msqrt></mtd><mtd><mn>1</mn><mo>+</mo><mi>i</mi></mtd><mtd><mo>-</mo><mn>3</mn></mtd></mtr><mtr><mtd><mn>4</mn><mi>i</mi></mtd><mtd><mo>-</mo><mn>6</mn></mtd><mtd><mn>0</mn></mtd></mtr></mtable></mfenced></math>

Concept Video: 

Concept of the Day | Matrices | Class 11 & 12 MATHS | JEE 2021/2022 l Keshav Sir | BYJU'S JEE

Order of a Matrix

If a matrix has M rows and n columns then the order of matrix is m×n ,we read it as m by n.

Let's consider a m×n matrix 


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><msub><mi>a</mi><mn>11</mn></msub></mtd><mtd><msub><mi>a</mi><mn>12</mn></msub></mtd><mtd><msub><mi>a</mi><mn>13</mn></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><msub><mi>a</mi><mn>21</mn></msub></mtd><mtd><msub><mi>a</mi><mn>22</mn></msub></mtd><mtd><msub><mi>a</mi><mn>23</mn></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>2</mn><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>2</mn><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd></mtr><mtr><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>1</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>2</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>3</mn></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd></mtr><mtr><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>1</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>2</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>3</mn></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mi>n</mi></mrow></msub></mtd></mtr></mtable></mfenced></math>                                     

where aij denotes the element of ith row and jth column .The above matrix can be denoted denoted as A=aijm×n.

Example:

    
<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mn>3</mn></mtd></mtr><mtr><mtd><mo>-</mo><mn>4</mn></mtd><mtd><mn>7</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced></math>

Order of matrix =3×2,    Here, a11=2, a12=3, a21=-4,a22=7,a31=0,a32=1

Types of Matrices

  • Square matrix: A matrix having same number of rows and columns is called a square matrix.It is denoted as A=aijnnor aijn,we can say that order of A is n. 

Example: 


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mi>sin</mi><mfenced><mi>x</mi></mfenced></mtd></mtr><mtr><mtd><mi>cos</mi><mfenced><mi>x</mi></mfenced></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub></math>

In any square matrix, the elements aij,, for which i = j, then that element  is said to be the principal diagonal element of the matrix. In general, a11,a22,a33,..aii  are the principal diagonal elements of a matrix.The diagonal containing principal diagonal elements is known as Principal diagonal of the matrix. Example:

For  

<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mi>sin</mi><mfenced><mi>x</mi></mfenced></mtd></mtr><mtr><mtd><mi>cos</mi><mfenced><mi>x</mi></mfenced></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub></math>   , Here 2 and 1 are principal diagonal elements

  • Rectangular matrix: A matrix having a different number of rows and columns is called a Rectangular matrix  i.e A=aijm×n where mn

Example :


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mn>3</mn></mtd></mtr><mtr><mtd><mo>-</mo><mn>4</mn></mtd><mtd><mn>7</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced></math> 3×2

  • Row matrix: A matrix having only one row is called a row matrix or row vector.


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><msub><mi>a</mi><mrow><mi>i</mi><mi>j</mi></mrow></msub></mfenced><mrow><mn>1</mn><mo>&#xD7;</mo><mi>n</mi></mrow></msub><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><msub><mi>a</mi><mn>11</mn></msub></mtd><mtd><msub><mi>a</mi><mn>12</mn></msub></mtd><mtd><msub><mi>a</mi><mn>13</mn></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>n</mi></mrow></msub></mtd></mtr></mtable></mfenced><mrow><mn>1</mn><mo>&#xD7;</mo><mi>n</mi></mrow></msub></math>

Example: B=1   2   31×3

  • Column matrix: A matrix which has only one column is called a column matrix

Example: 


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd></mtr><mtr><mtd><mn>5</mn></mtd></mtr><mtr><mtd><msqrt><mn>2</mn></msqrt></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>1</mn></mrow></msub></math>

  • Zero matrix: If all elements of a matrix are zero,then that matrix is called zero matrix or Null matrix. A zero matrix can be a square matrix or a rectangular matrix.

A=aijm×n      if aij=0  i and j 

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr></mtable></mfenced><mn>2</mn></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><mi>P</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr></mtable></mfenced><mn>3</mn></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>&#xA0;</mo></math>

  • Diagonal matrix: A square matrix aijn is said to be a diagonal matrix if aij =0, i  j.

Diagonal matrix is represented as diaga11,a22..ann

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>L</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><mi>T</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mo>-</mo><mn>3</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>8</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

       or L=diag1,0   ,T=diag1,-3,8

  • Scalar Matrix: A diagonal matrix whose principal diagonal elements are all equal

is called a Scalar matrix.

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>L</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><mi>T</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>8</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>8</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>8</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

  • Unit Matrix (Identity matrix): A scalar matrix with principal diagonal entries as 1 is called an Unit or Identity  matrix.An Identity matrix of order n is represented as in

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>I</mi><mn>2</mn></msub><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><msub><mi>I</mi><mn>3</mn></msub><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

  • Upper Triangular Matrix: If all of the elements below the principal diagonal are zero, then the square matrix  aijn is said to be an Upper Triangular Matrix..

A= aijn such that aij=0    i > j

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>D</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>2</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>9</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><mi>H</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>8</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>3</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mo>-</mo><mn>5</mn></mtd><mtd><mo>-</mo><mn>2</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>8</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

  • Lower Triangular Matrix: If all of the elements above  the principal diagonal are zero, then the square matrixaijn is said to be a Lower Triangular Matrix.

A= aijn such that aij=0  ,  i < j

Example:


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>D</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>1</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mn>9</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub><mo>&#xA0;</mo><mo>&#xA0;</mo><mo>,</mo><mi>H</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>8</mn></mtd><mtd><mn>0</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><mn>0</mn></mtd><mtd><mo>-</mo><mn>5</mn></mtd><mtd><mn>0</mn></mtd></mtr><mtr><mtd><msqrt><mn>2</mn></msqrt></mtd><mtd><mn>0</mn></mtd><mtd><mn>8</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

Trace of a Matrix

Trace of a matrix is the sum of all elements of the principal diagonal of a square matrix.


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><msub><mi>a</mi><mn>11</mn></msub></mtd><mtd><msub><mi>a</mi><mn>12</mn></msub></mtd><mtd><msub><mi>a</mi><mn>13</mn></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>1</mn><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><msub><mi>a</mi><mn>21</mn></msub></mtd><mtd><msub><mi>a</mi><mn>22</mn></msub></mtd><mtd><msub><mi>a</mi><mn>23</mn></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>2</mn><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mn>2</mn><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd></mtr><mtr><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>1</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>2</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mn>3</mn></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>i</mi><mi>n</mi></mrow></msub></mtd></mtr><mtr><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd></mtr><mtr><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>1</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>2</mn></mrow></msub></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mn>3</mn></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mi>j</mi></mrow></msub></mtd><mtd><mo>.</mo><mo>.</mo><mo>.</mo><mo>.</mo></mtd><mtd><msub><mi>a</mi><mrow><mi>m</mi><mi>n</mi></mrow></msub></mtd></mtr></mtable></mfenced><mrow><mi>m</mi><mo>&#xD7;</mo><mi>n</mi></mrow></msub></math>                                                      

Trace i.e.  TrA=a11+a22+a33++aii


<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>T</mi><mi>r</mi><mfenced><mi>A</mi></mfenced><mo>=</mo><munderover><mo>&#x2211;</mo><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mi>n</mi></munderover><msub><mi>a</mi><mrow><mi>i</mi><mi>i</mi></mrow></msub></math>

Example: 

 
<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn></mtd><mtd><mi>sin</mi><mfenced><mi>x</mi></mfenced></mtd></mtr><mtr><mtd><mi>cos</mi><mfenced><mi>x</mi></mfenced></mtd><mtd><mn>1</mn></mtd></mtr></mtable></mfenced><mrow><mn>2</mn><mo>&#xD7;</mo><mn>2</mn></mrow></msub></math>

 TrA=a11+a22=2+1 =3

Properties of Trace of Matrix

Let us consider two square matrices A and B then,

  • TrKA=K TrA  where K is a scalar.
  • TrA±B=TrA±TrB
  • TrAB=TrBA
  • TrABC=TrCAB=TrBCA
  • TrAT=TrA

Practice Problems of Matrix

Example: Construct a 2×3  matrix ,whose elements are given by aij=i+2j2 .

Answer:

Given, aij=i+2j2

a11= 1+2×12 = 32  ,a12= 1+2×22 = 52 ,a13= 1+2×32 = 72 

a21= 2+2×12 =2 ,a22= 2+2×22 = 3 ,a23= 2+2×32 = 4 

∴ Required matrix is 

 
<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mfrac><mn>3</mn><mn>2</mn></mfrac></mtd><mtd><mfrac><mn>5</mn><mn>2</mn></mfrac></mtd><mtd><mfrac><mn>7</mn><mn>2</mn></mfrac></mtd></mtr><mtr><mtd><mn>2</mn></mtd><mtd><mn>3</mn></mtd><mtd><mn>4</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math>

Example: Which of the following statements is always true if matrix A has n number of elements and m is the number of potential orders for matrix A?

a) m=1,when n is prime                          b)  m=2 ,when n is prime
 c) m < 2 ,when n is not prime                       d) m > 2 ,when n is prime

Answer:

Matrix A consists of n number of elements

Casei If n is a prime number it can have only two factors 1 and n.

∴ The possible orders are 1×n or n×1.

Hence, if n is a prime number, m=2

Caseii If n is not prime,then we get more than two factors for n

Hence, if n is not prime, m>2

Therefore the correct option is (b)

Example: Let
<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>A</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><msup><mi>a</mi><mn>2</mn></msup></mtd><mtd><mn>6</mn></mtd><mtd><mn>8</mn></mtd></mtr><mtr><mtd><mn>3</mn></mtd><mtd><msup><mi>b</mi><mn>2</mn></msup></mtd><mtd><mn>9</mn></mtd></mtr><mtr><mtd><mn>4</mn></mtd><mtd><mn>5</mn></mtd><mtd><msup><mi>c</mi><mn>2</mn></msup></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math> and
<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>B</mi><mo>=</mo><msub><mfenced open="[" close="]"><mtable><mtr><mtd><mn>2</mn><mi>a</mi></mtd><mtd><mn>3</mn></mtd><mtd><mn>5</mn></mtd></mtr><mtr><mtd><mn>2</mn></mtd><mtd><mn>2</mn><mi>b</mi></mtd><mtd><mn>7</mn></mtd></mtr><mtr><mtd><mn>6</mn></mtd><mtd><mn>5</mn></mtd><mtd><mn>2</mn><mi>c</mi><mo>-</mo><mn>3</mn></mtd></mtr></mtable></mfenced><mrow><mn>3</mn><mo>&#xD7;</mo><mn>3</mn></mrow></msub></math> are two matrices such that their trace is equal,then find the value of 1a+1b+1c

Answer:

Given TrA=TrB

a2+b2+c2=2a+2b+2c-3

a2+b2+c2-2a-2b-2c+3=0

Rearrange the terms

a2+1-2a+b2+1-2b+c2-2c+1=0

a-12+b-12+c-12=0

Sum of squares of three numbers is zero if all are zero individually.

a=1,b=1,c=1

1a+1b+1c=3

Example: Find the number of all possible matrices of order 3×3with each entry 0 or 1 .

Answer:

Given matrix of order 3×3

∴ Total number of entries = 9

Each entry has two choices either  0 or 1 

Thus the total possible matrices =2×2×2×2×2×2×2×2×2=512

FAQs of Matrix

Question 1. How do we find the total number of elements in a matrix?

Answer: The total number of elements of any matrix is the product of the number of rows and columns.

Question 2.What do you mean by vector matrix?

Answer: A vector is a one-row or one-column matrix.

Question 3. Is a matrix a scalar or a vector?

Answer: Matrixes are essentially vectors that have been expressed in a two-dimensional table format.

Question 4. Does Trace exist for a rectangular matrix?

Answer: No. Traces exist only for square matrices.

NCERT Class 12 Maths Chapters

 

Relations and Functions Continuity and Differentiability Differential Equations
Inverse Trigonometric Functions Applications of Derivatives Vector Algebra
Matrices Integrals Three Dimensional Geometry
Determinants Applications of Integrals Linear Programming
Probability  

 

 

 

 

 

 

 

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