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NCERT Exemplar Class 12 Maths Solutions Chapter 3, Matrix is one of the most interesting chapters to study. Matrices are much faster and more efficient than the usual direct-solving method. In our daily lives, we see tables, spreadsheets, seating charts, and cinema bookings arranged in rows and columns resembling matrices. So, what is a matrix? A matrix is a rectangular arrangement of numbers, symbols, or expressions in rows and columns . The numbers inside a matrix are called its elements . It is usually written as A=[aij], where aij denotes the element in the i -th row and j -th column. Matrices are used in various fields like computer graphics, economics, and engineering to solve systems of equations, data representation, and transformations. They are a key concept in linear algebra.
NCERT Exemplar Class 12 Math chapter 3 solutions cover various matrix-related topics like the types, the operations on two or matrices, invertible matrices, etc. It is a highly scoring chapter of NCERT Class 12 Maths Solutions that a student can utilize to gain higher scores in their exams.
Class 12 Maths Chapter 3 exemplar solutions Exercise: 3.3 Page number: 52-64 Total questions: 101 |
Question:1
If a matrix has 28 elements, what are the possible orders it can have? What if it has 13 elements?
Answer:
In mathematics, a matrix is a rectangular array that includes numbers, expressions, symbols, and equations which are placed in an arrangement of rows and columns. The number of rows and columns that are arranged in the matrix is called the order or dimension of the matrix. By rule, the rows are listed first and then the columns.
It is given that the matrix has 28 elements.
So, according to the rule of the matrix,
If the given matrix has
So, if a matrix has 28 elements, which is
Take m and n to be any number, so that, when they are multiplied, we get 28.
So, let
Then,
Take
Then,
Take
Then,
Take
Then,
Take
Then,
Take
Then,
The following are the possible orders that a matrix having 28 elements can have:
If the given matrix consisted of 13 elements, then its possible order can be found out in a similar way as given above:
Here,
Take
Take
Then,
Take
Then,
Thus, the possible orders of the matrix consisting of 13 elements are as follows:
Question:2
In the matrix
(i) The order of the matrix A
(ii) The number of elements
(iii) Write elements
Answer:
i) We have,
ii) We have,
iii) We have,
Since,
Question:3
Construct
(i)
(ii)
Answer:
i) Let
Given that
Hence, the matrix
ii) Let
Given that
Hence, the matrix
Question:4
Construct a 3 × 2 matrix whose elements are given by
Answer:
Hence, the matrix
Question:5
Find values of a and b if A = B, where
Answer:
Given that
Equating the corresponding elements, we get
But here 2 is common.
Hence, the value of
Question:6
If possible, find the sum of the matrices A and B, where
Answer:
We have,
Here, A and B are of different orders.
Two matrices A and B are confirmable for addition only if the order of both matrices A and B is the same.
Hence, the sum of matrices A and B is not possible.
Question:7
If
(i) X + Y
(ii) 2X - 3Y
(iii) A matrix Z such that X + Y + Z is a zero matrix.
Answer:
Given that
i)
ii)
iii)
Where
Equating the corresponding elements, we get
Hence, the matrix
Question:8
Find non-zero values of x satisfying the matrix equation:
Answer:
The given equation can be written as
Equating the corresponding elements we get
Hence, the non-zero value of
Question:9
Answer:
Given that
Now, R.H.S.
Hence,
Hence,
Question:10
Answer:
Given that
Hence, the values of
Question:11
Show that
Answer:
Given that
L.H.S.
We are given
Hence,
Question:12
Find the matrix A satisfying the matrix equation:
Answer:
We have
Where
Now adj.
Question:13
Answer:
We have,
Let
Comparing elements of both sides
And 4z = 4
⇒ z = 1
Question:14
Answer:
Here,
L.H.S:
Here, the number of columns of the first
i.e., 3 is not equal to the number of rows of the second matrix i.e., 2.
So,
Similarly,
Hence,
Question:15
If possible, find BA and AB, where
Answer:
Now
Hence,
Question:16
An example is shown for A ≠ O, B ≠ O, AB = O.
Answer:
Let
Hence,
Question:17
Answer:
R.H.S.
Hence, L.H.S. = R.H.S.
Question:18
Answer:
Given that:
L.H.S.
Comparing the corresponding elements of both sides, we get,
Multiplying equation (1) by 1 and equation (2) by 2, and then subtracting, we get,
Hence, the values of x and y are 1 and 2, respectively.
Question:19
If X and Y are 2 × 2 matrices, solve the following matrix equations for X and Y.
Answer:
We have the given matrix equations,
By subtracting equation (i) from (ii), we get
By adding equations (i) and (ii), we get
By adding equations (iii) and (iv), we get
Substituting the matrix A in equation (iv), we get
Question:20
If
Answer:
We have,
For
We have order of
For
Let
And
For
We see that on taking C of order
In general,
Where k is any real number.
Question:21
Given an example of matrices A, B, and C such that AB = AC, where A is an on-zero matrix, but B ≠ C.
Answer:
Let
And
We have
Question:22
Answer:
i) We have,
And
Again,
And
From (i) and (ii), we get
ii) We have,
And
Question:23
Answer:
Given that,
Now
Hence,
Question:24
Answer:
We have,
Question:25
Answer:
We have
Now
And
From equations (i) and (ii)
Question:26
If
Answer:
We have,
Now,
So,
From (i) and (ii)
We get
Question:27
If
(i) (A’)’ = A
(ii) (AB)’ = B’A’
(iii) (kA)’ = (kA’)
Answer:
i) Given that:
ii) Given that:
L.H.S.
L.H.S. = R.H.S.
Hence,
iii)
R.H.S.
Hence, L.H.S. = R.H.S.
Question:28
If
(i) (2A + B)’ = 2A’ + B’
(ii) (A - B)’ = A’ - B’.
Answer:
i) Given that:
L.H.S.
R.H.S.
Hence, L.H.S. = R.H.S.
ii) Given that:
L.H.S.
R.H.S.
Hence, L.H.S. = R.H.S.
Question:29
Show that A’A and AA’ are both symmetric matrices for any matrix A.
Answer:
We know that,
In linear algebra, a symmetric matrix is a square matrix that is equal to its transpose. Formally, because equal matrices have equal dimensions, only square matrices can be symmetric.
We know that the transposition of AB is given by
(AB)’ = B’A’
Using this result, and by taking the transpose of A’A, we have,
Transpose of A’A = (A’A)T = (A’A)’
Using, transpose of A’A = (A’A)’
⇒ (A’A)’ = A’(A’)’
And also,
(A’)’ = A
So,
(A’A)’ = A’A
Since (A’A)’ = A’A
This means that A’A is the symmetric matrix for any matrix A.
Now, take the transpose of AA’.
Transpose of AA’ = (AA’)’
⇒ (AA’)’ = (A’)’A’ [ (AB)’ = B’A’]
⇒ (AA’)’ = AA’ [(A’)’ = A]
Since (AA’)’ = AA’
This means, AA’ is the symmetric matrix for any matrix A.
Thus, A’A and AA’ are symmetric matrices for any matrix A.
Question:30 Let A and B be square matrices of the order 3 × 3. Is
Answer:
As A and B are square matrices of order
We have,
Thus,
Question:31
Show that if A and B are square matrices such that AB = BA, then
Answer:
Given that
So,
Question:32.1
Let
Show that:
A + (B + C) = (A + B) + C
Answer:
Given,
Question:32.2
Let
Show that:
A(BC) = (AB)C
Answer:
We have to prove that: A(BC) = (AB)C
Question:32.3
Let
Show that:(a + b)B = aB + bB
Answer:
To prove: (a + b)B = aB + bB
Given, a = 4 and b = -2
It is clear that,
Hence, we have,
(a + b)B = aB + bB …proved
Question:32.4
Show that:
a(C - A) = aC -aA
Answer:
We have,
And
And
Also,
Clearly
Hence proved.
Question:32.5
Let
Show that:
Answer:
To prove:
In the transpose of a matrix, the rows of the matrix become the columns.
Hence, proved.
Question:32.6
Let
Show that:
Answer:
a) To prove:
As, LHS =
Question:32.7
Let
Show that:
Answer:
To prove:
By multiplying the matrices and taking the transpose, we get,
As
By taking the transpose of matrices and then multiplying, we get,
We have, LHS = RHS =
Hence
Question:32.8
Answer:
We have,
And
Now,
And
Hence proved.
Question:32.9
Answer:
To Prove:
Hence
Question:33
Answer:
As
According to the rule of matrix multiplication:
We know that:
Hence, proved.
Question:34
Answer:
By the rule of matrix multiplication, we can write-
Given
We have,
Hence,
Question:35
Answer:
We need to prove that
According to the rule of matrix multiplication, we have-
Question:36
Prove by Mathematical Induction that
Answer:
Let
Now, let
Where
And
Thus
Question:37.1
Find the inverse, by elementary row operations (if possible), of the following matrices.
Answer:
Let
To apply elementary row transformations, we can say that:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.
I = XA
And this X is called the inverse of A = A-1.
So we get:
Question:37.2
Find the inverse, by elementary row operations (if possible), of the following matrices.
Answer:
Let
To apply elementary row transformations, we write:
B = IB where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.
I = XB
And this X is called inverse of
So we get,
By Applying R2→ R2 + 2R1
We have all zeroes in one of the rows of the matrix in the LHS.
So by any means, we can't make an identity matrix in LHS.
∴ The inverse of B does not exist.
Question:38
If
Answer:
Given that:
Equating the corresponding elements,
Now, solving
And
From equation (i),
Putting the value of
From equation (iii)
Hence,
Question:39
If
Answer:
Given that:
3A + 5B + 2C = O = null matrix
We have to determine the value of C,
Question:40
If
Answer:
Given that:
Hence,
Now, multiplying both sides by A, we get,
Hence,
Question:41
Find the value of a, b, c, and d, if
Answer:
Given that:
Equating the corresponding elements, we get,
And
Now
Question:42
Answer:
Order of matrix
Let
So,
Equating the corresponding elements, we get,
Hence,
Question:43
Answer:
We are given the following matrix A such that,
According to the rule of matrix multiplication, we get
Question:44
Answer:
Here,
Given that:
Pre-multiplying both sides by A
Hence, it is true for all values of a.
Question:45
If the matrix
Answer:
A matrix is said to be skew-symmetric if A = -A’
Let, A =
As A is a skew-symmetric matrix.
∴ A = -A’
Equating the respective elements of both matrices, as both matrices are equal to each other, we have,
a = -2 ; c = -3 ; b = -b ⇒ 2b = 0 ⇒ b = 0
Thus, we get,
a = -2 , b = 0 and c = -3
Question:46
Answer:
We have,
Now,
Also,
Question:47
If A is square matrix such that
Answer:
We know that,
A. I = I. A
So, A and I are commutative.
Thus, we can expand
So,
Hence proved,
Question:48
Answer:
Given that B is a skew-symmetric matrix
Let
So
Thus, we say that C = A’ BA is a skew-symmetric matrix.
Question:49
If AB = BA for any two square matrices, prove by mathematical induction that
Answer:
Let
So,
So,
Let
So,
Now
Thus
So,
Question:50
Answer:
Matrix A is such that
And
Question:51.1
If possible, using elementary row transformations, find the inverse of the following matrices.
Answer:
Let A =
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.t
I = XA
And this X is called inverse of
Note: Never apply row and column transformations simultaneously over a matrix.
So we get,
Applying R 2 → R 2 - 3R 1
Question:51.2
If possible, using elementary row transformations, find the inverse of the following matrices.
Answer:
Let A =
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving the problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that.t
I = XA
And this X is called inverse of
Note: Never apply row and column transformations simultaneously over a matrix.
So we get:
The second row of LHS contains all zeros, so we aren’t going to get any matrix in LHS.
∴ The inverse of A does not exist.
Hence, A-1 does not exist.
Question:51.3
If possible, using elementary row transformations, find the inverse of the following matrices.
Answer:
Let A =
To apply elementary row transformations, we write:
A = IA where I is the identity matrix
We proceed with solving our problem in such a way that LHS becomes I and the transformations in I give us a new matrix such that:
I = XA
And this X is called inverse of
Note: Never apply row and column transformations simultaneously over a matrix.
So we get,
Question:52
Express the matrix
Answer:
If A is any matrix, then it can be written as the sum of a symmetric and skew-symmetric matrix.
Symmetric matrix is given by 1/2(A + A’)
Skew symmetric is given by 1/2(A - A’)
And A = 1/2(A + A’) + 1/2(A - A’)
Here, A =
The symmetric matrix is given by –
Skew Symmetric matrix is given by –
Question:53
The matrix
A. square matrix
B. diagonal matrix
C. unit matrix
D. none
Answer:
As P has an equal number of rows and columns and thus it matches the definition of a square matrix.
The given matrix does not satisfy the definition of unit and diagonal matrices.
Hence, we can say that,
∴ Option (A) is the only correct answer.
Question:54
The total number of possible matrices of order 3 × 3 with each entry 2 or 0 is
A. 9
B. 27
C. 81
D. 512
Answer:
D)
As the above matrix has a total of 3×3 = 9 elements, then
As each element can take 2 values (0 or 2)
∴ By simply counting principles, we can say that the total number of possible matrices = total number of ways in which 9 elements can take possible values =
It matches with option D.
Hence, we can say that,
∴ Option (D) is the only correct answer.
Question:55
If
A. x = 3, y = 1
B. x = 2, y = 3
C. x = 2, y = 4
D. x = 3, y = 3
Answer:
Given that:
Equating the corresponding elements, we get,
And
From equations (ii)
From equations (i)
Question:56
If
A. I
B. O
C. 2I
D.
Answer:
Given that:
And
∴ Option (D) is the only correct answer.
Question:57
If A and B are two matrices of the order 3 × m and 3 × n, respectively, and m = n, then the order of matrix (5A - 2B) is
A. m × 3
B. 3 × 3
C. m × n
D. 3 × n
Answer:
As the order of A is 3 × m and the order of B is 3 × n
As m = n. So, the order of A and B is the same = 3 × m
∴ Subtraction can be carried out.
And (5A - 3B) also has the same order.
Hence, option D is correct.
Question:58
If
A.
B.
C.
D.
Answer:
Hence, we can say that,
∴ Option (D) is the correct answer.
Question:59
If matrix
aij = 0 if i = j, then
A. I
B. A
C. 0
D. None of these
Answer:
We are given that,
According to the rule of matrix multiplication:
Hence, we can say that,
∴ Option (A) is the correct answer.
Question:60
The matrix
A. Identity matrix
B. symmetric matrix
C. skew-symmetric matrix
D. none of these
Answer:
As,
∴ It is a symmetric matrix.
Hence, we can say that,
∴ Option(B) is the correct answer.
Question:61
The matrix
A. diagonal matrix
B. symmetric matrix
C. skew-symmetric matrix
D. scalar matrix
Answer:
Let A =
As
∴ It is a skew-symmetric matrix.
Hence, we can say that,
∴ Option(C) is the correct answer.
Question:62
If A is a matrix of order m × n and B is a matrix such that AB’ and B’A are both defined, then the other of matrix B is
A. m × m
B. n × n
C. n × m
D. m × n
Answer:
As AB’ is defined. So, B’ must have n rows.
∴ B has n columns.
And, B’A is also defined. As A’ has order n × m
∴ B’A to exist, B must have m rows.
∴ m × n is the order of B.
Hence, we can say that,
Option (D) is the correct answer.
Question:63
If A and B are matrices of the same order, then (AB’ - BA’) is a
A. skew-symmetric matrix
B. null matrix
C. symmetric matrix
D. unit matrix
Answer:
Let C = (AB’ - BA’)
C’ = (AB’ - BA’)’
∴ C is a skew-symmetric matrix.
Option (A) matches with our deduction.
Hence, we can say that,
∴ Option (A) is the correct.
Question:64
If A is a square matrix such that
A. A
B. I - A
C. I + A
D. 3A
Answer:
As,
Use
Also,
∴ then
Hence, we can say that,
∴ Option (A) is the correct answer.
Question:65
For any two matrices A and B, we have
A. AB = BA
B. AB ≠ BA
C. AB = O
D. None of the above
Answer:
For any two matrices:
Not always are options A, B, and C true.
Hence, we can say that,
∴ Option (D) is the only suitable answer
Question:66
On using elementary column operations C2→ C2 — 2C1 in the following matrix equation
A.
B.
C.
D.
Answer:
For column transformation, we operate on the post matrix.
As,
By Applying C 2 → C 2 — 2C 1 ,
Hence, we can say that,
∴ Option (D) is the correct answer.
Question:67
On using elementary row operation R1→ R1 — 3R2 in the following matrix equation:
Answer:
Elementary row transformation is applied to the first matrix of the RHS.
By Applying R 1 → R 1 — 3R 2 we get -
It matches with option (A)
Hence, we can say that,
∴ Option (A) is the correct answer.
Question:68
Fill in the blanks in each of the following:
______ matrix is both symmetric and skew-symmetric matrix.
Answer:
A Zero matrix
∴ Let A be the symmetric and skew-symmetric matrix.
⇒ A’=A (Symmetric)
⇒ A’=-A (Skew-Symmetric)
Considering the above two equations,
⇒ A=-A
⇒ 2A=0
⇒ A=0 (A Zero Matrix)
Hence zero matrix is both a symmetric and skew-symmetric matrix.
Question:69
Fill in the blanks in each of the following:
The sum of two skew-symmetric matrices is always _______ matrix.
Answer:
A skew-symmetric matrix
Let A and B be any two matrices
And B = -
Adding (i) and (ii), we get
So
Question:70
Fill in the blanks in each of the following:
The negative of a matrix is obtained by multiplying it by ________.
Answer:
The negative of a matrix is obtained by multiplying it by -1.
For example:
Question:71
Fill in the blanks in each of the following:
The product of any matrix by the scalar _____ is the null matrix.
Answer:
The null matrix is the one in which all elements are zero.
If we want to make A =
0A =
Hence, we can say that,
The product of any matrix by the scalar 0 is the null matrix.
Question:72
Fill in the blanks in each of the following:
A matrix that is not a square matrix is called a _____ matrix.
Answer:
Rectangular Matrix
As we know, a square matrix is one in which there is the same number of rows and columns.
Eg: A =
Here there are 2 rows and 2 columns.
The matrix that is not square is called a rectangular matrix as it does not have the same number of rows and columns.
Eg
Here number of rows is 2 and columns are 3.
Question:73
Fill in the blanks in each of the following:
Matrix multiplication is _____ over addition.
Answer:
Distributive
⇒ Matrix multiplication is distributive over addition.
i.e A(B+C)=AB+AC
and (A+B)C=AC+BC
Question:74
Fill in the blanks in each of the following:
If A is a symmetric matrix, then
Answer:
Given A is a symmetric matrix
Question:75
Fill in the blanks in each of the following:
If A is a skew-symmetric matrix, then
Answer:
Given A is a skew-symmetric matrix.
So,
Question:76
Fill in the blanks in each of the following:
If A and B are square matrices of the same order, then
(i) (AB)’ = ________.
(ii) (kA)’ = ________. (k is any scalar)
(iii) [k (A - B)]’ = ________.
Answer:
(i) (AB)’ = ________.
(AB)’ = B’A’
Let A be the matrix of order m× n and B be of n× p.
A’ is of order n× m and B’ is of order p× n.
Hence, we get, B’ A’ is of order p× m.
So, AB is of order m× p.
And (AB)’ is of order p× m.
We can see (AB)’ and B’ A’ are of the same order p× m.
Hence proved, (AB)’ = B’ A’
(ii) (kA)’ = ________. (k is any scalar)
If a scalar “k” is multiplied by any matrix the new matrix becomes
K times of the old matrix.
Now 2A’ =
Hence (2A)’ =2A’
Hence (kA)’ = k(A)’
(iii) [k (A - B)]’ = ________.
Question:77
Fill in the blanks in each of the following:
If A is skew-symmetric, then kA is a ______. (k is any scalar)
Answer:
A skew-symmetric matrix.
We are given that, A’=-A
⇒ (kA)’=k(A)’=k(-A)
⇒ (kA)’=-(kA)
Question:78
Fill in the blanks in each of the following:
If A and B are symmetric matrices, then
(i) AB - BA is a _________.
(ii) BA - 2AB is a _________.
Answer:
(i) AB - BA is a Skew Symmetric matrix
We are given that A’=A and B’=B
⇒ (AB-BA)’=(AB)’-(BA)’
⇒ (AB)’-(BA)’=B’A’-A’B’
⇒ B’A’-A’B’=BA-AB=-(AB-BA)
⇒ (AB-BA)’=-(AB-BA) (skew symmetric matrix)
(ii) BA - 2AB is neither a Symmetric nor Skew Symmetric matrix
Given A’=A and B’=B
⇒ (BA-2AB)’=(BA)’-(2AB)’
⇒ (BA)’-(2AB)’=A’B’-2B’A’
⇒ A’B’-2B’A’=AB-2BA=-(2BA-AB)
⇒ (BA-2AB)’=-(2BA-AB)
Question:79
Fill in the blanks in each of the following:
If A is a symmetric matrix, then B’AB is _______.
Answer:
B’AB is a symmetric matrix.
Solution:
Given A is a symmetric matrix.
⇒ A’=A ..(1)
Now in B’AB,
Let AB=C ..(2)
⇒ B’AB=B’C
Now Using Property (AB)’=B’A’
⇒ (B’C)’=C’(B’)’ (As (B’)’=B)
⇒ C’(B’)’=C’B
⇒ C’B=(AB)’B (Using Property (AB)’=B’A’)
⇒ (AB)’ B=B’A’B (Using (1))
⇒ B’A’B= B’AB
⇒ Hence (B’AB)’= B’AB
Question:80
Answer:
Given A and B are symmetric matrices,
⇒ A’=A ..(1)
⇒ B’=B ..(2)
Let AB be a Symmetric matrix:-
⇒ (AB)’=AB
Using Property (AB)’=B’A’
⇒ B’A’=AB
⇒ Now using (1) and (2)
⇒ BA=AB
Hence, A and B matrices commute.
Question:81
Fill in the blanks in each of the following:
In applying one or more now operations while finding
Answer:
And |A|=0 if there is one or more rows or columns with all zero elements.
Question:82
Which of the following statements are True or False
A matrix denotes a number.
Answer:
False
A matrix is an ordered rectangular array of numbers of functions.
Only a matrix of order (1×1) denotes a number.
For example,
Question:83
Which of the following statements are True or False
Matrices of any order can be added.
Answer:
False
Matrices having the same order can be added.
For example
Question:84
Answer:
False
Two matrices are equal if they have the same number of rows and the same number of columns and corresponding elements within each matrix are equal or identical.
For example:
Here both matrices have two rows and two columns.
Also, they both have the same elements.
Question:85
Which of the following statements are True or False
Matrices of different order cannot be subtracted.
Answer:
True
Matrices of only the same order can be added or subtracted.
Let A =
B=
⇒ A-B= Not possible
Question:86
Answer:
True
1. A+B=B+A (commutative)
2. (A+B)+C= A+(B+C) (associative)
Question:87
Which of the following statements are True or False
Matrix multiplication is commutative.
Answer:
False
In general matrix multiplication is not commutative.
But it’s associative.
⇒ (AB)C=A(BC)
Question:88
Answer:
False
A square matrix where every element of the leading diagonal is unity and the rest elements are zero is called an identity matrix.
i.e
Question:89
Answer:
True
If A and B are two square matrices of the same order, then A + B = B + A ( Property of square matrix)
For example,
Question:90
Answer:
False
If A and B are two matrices of the same order,
then A - B = -(B - A)
For example,
Question:91
Answer:
False
It's not necessary that for the multiplication of matrices A and B to be 0 one of them has to be a null matrix.
For example,
Question:92
Which of the following statements are True or False
Transpose of a column matrix is a column matrix.
Answer:
False
Transpose of a column matrix is a Row matrix and vice-versa.
Question:93
Answer:
False
Matrix multiplication is not commutative.
For example,
Question:94
Answer:
True
For example,
Question:95
Answer:
False
If A and B are any two matrices for which AB is defined, then
(AB)’=B’A’.
Question:96
Answer:
Let
Order of
And the order of
Hence, order of
Hence, the given statement is true.
Question:97
Answer:
False
Let
And
Here
Question:98
Answer:
True
(AA’)’=(A’)’A’
As we know (A’)’ = A
(AA’)’=AA’ (Condition of the symmetric matrix)
Question:99
Which of the following statements are True or False
If
Answer:
False
Here A has an order (2×3) and B has an order (3×2),
Hence AB is defined and will give an output matrix of order (2×2)
And BA is also defined but will give an output matrix of order (3×3).
⇒ AB ≠ BA
Question:100
Answer:
True
For skew-symmetric matrix A’=-A
This equation shows that the transpose of
Question 101:
Answer:
True
Given:
Students can make use of the NCERT Exemplar Class 12 Maths solutions chapter 3 pdf download to access it offline. We will help the students understand the matrices and their functions and operations by solving the questions given in the NCERT.
NCERT exemplar solutions for Class 12 Maths Chapter 3 Matrices Sub-topics covered
Chapter 3 Matrices |
Here are the subject-wise links for the NCERT solutions of class 12:
As per latest 2024 syllabus. Maths formulas, equations, & theorems of class 11 & 12th chapters
Given below are the subject-wise NCERT Notes of class 12 :
Here are some useful links for NCERT books and the NCERT syllabus for class 12:
Determinants play a crucial role in matrix algebra and have wide applications in solving mathematical and real-world problems. The determinant of a square matrix is a scalar value that helps determine whether a matrix is invertible; if the determinant is zero, the matrix is singular and non-invertible. Determinants are essential in solving systems of linear equations using Cramer’s Rule, finding the area or volume in geometry, and analyzing linear transformations. In physics and engineering, they help study stability, force systems, and transformations. Thus, determinants are key tools in understanding and applying matrix concepts effectively.
Condition for a Matrix to Be Invertible
A square matrix is invertible (also called non-singular) if there exists another matrix, called its inverse, such that A-1 A=A A-1=I, where I is the identity matrix of the same order.
The key condition for a matrix to be invertible is that its determinant must not be zero, i.e., {det}(A) not equal to 0.
If {det}(A)=0, the matrix is called singular and does not have an inverse.
Invertible matrices are essential in solving systems of linear equations, finding matrix equations, and various applications in linear algebra.
Properties of Matrix Multiplication
Matrix multiplication has unique properties different from regular multiplication:
1. Associative Property: (A B) C=A(B C), when the order is compatible.
2. Distributive Property: A(B+C)=A B+A C and (A+B) C=A C+B C.
3. Non-Commutative: In general, AB is not equal to BA, even if both products are defined.
4. Multiplicative Identity: AI=IA=A, where I is the identity matrix of suitable order.
5. Zero Product Property Doesn't Hold: AB=0 does not imply A=0 or B=0.
6. Compatibility: Matrix multiplication is only defined when the number of columns in the first matrix equals the number of rows in the second.
Properties of Matrix Addition
Matrix addition has several important properties, similar to regular number addition:
1. Commutative Property: A+B=B+A, if A and B are of the same order.
2. Associative Property: (A+B)+C=A+(B+C), for matrices of the same order.
3. Additive Identity: There exists a zero matrix O such that A+O=A.
4. Additive Inverse: For every matrix A, there exists a matrix -A such that A+(-A)=O.
5. Closure Property: The sum of two matrices of the same order is also a matrix of the same order.
Matrices come in various types based on their elements and structure. A row matrix has only one row, while a column matrix has only one column. A square matrix has the same number of rows and columns. A diagonal matrix has non-zero elements only on its main diagonal, and if all diagonal elements are 1, it's called an identity matrix. A zero matrix has all elements as zero. A symmetric matrix is equal to its transpose, while a skew-symmetric matrix has its transpose equal to its negative. Matrices are also classified as upper or lower triangular based on zero entries.
Admit Card Date:06 May,2025 - 20 May,2025
Admit Card Date:06 May,2025 - 20 May,2025
Changing from the CBSE board to the Odisha CHSE in Class 12 is generally difficult and often not ideal due to differences in syllabi and examination structures. Most boards, including Odisha CHSE , do not recommend switching in the final year of schooling. It is crucial to consult both CBSE and Odisha CHSE authorities for specific policies, but making such a change earlier is advisable to prevent academic complications.
Hello there! Thanks for reaching out to us at Careers360.
Ah, you're looking for CBSE quarterly question papers for mathematics, right? Those can be super helpful for exam prep.
Unfortunately, CBSE doesn't officially release quarterly papers - they mainly put out sample papers and previous years' board exam papers. But don't worry, there are still some good options to help you practice!
Have you checked out the CBSE sample papers on their official website? Those are usually pretty close to the actual exam format. You could also look into previous years' board exam papers - they're great for getting a feel for the types of questions that might come up.
If you're after more practice material, some textbook publishers release their own mock papers which can be useful too.
Let me know if you need any other tips for your math prep. Good luck with your studies!
It's understandable to feel disheartened after facing a compartment exam, especially when you've invested significant effort. However, it's important to remember that setbacks are a part of life, and they can be opportunities for growth.
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I hope this information helps you.
Hi,
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hello mahima,
If you have uploaded screenshot of your 12th board result taken from CBSE official website,there won,t be a problem with that.If the screenshot that you have uploaded is clear and legible. It should display your name, roll number, marks obtained, and any other relevant details in a readable forma.ALSO, the screenshot clearly show it is from the official CBSE results portal.
hope this helps.
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As per latest 2024 syllabus. Physics formulas, equations, & laws of class 11 & 12th chapters
As per latest 2024 syllabus. Chemistry formulas, equations, & laws of class 11 & 12th chapters