![]() |
VOOZH | about |
Chapter 5 of RD Sharma's Class 12 Mathematics textbook continues exploring the Algebra of Matrices, with Exercise 5.1 Set 2 building upon the foundational concepts introduced in Set 1. This set likely delves deeper into matrix operations, properties, and applications. Students will encounter more complex problems involving matrix algebra, further developing their skills in manipulating and analyzing matrices, which are crucial for various fields of mathematics and its applications.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : x-2 = y .............(eq.1)
a12 : z = 3 .............(eq.2)
a13 : 2z = 6 .............(eq.3)
a21 : 18z = 6y ..........(eq.4)
a22 : y+2 = x ...........(eq.5)
a23 : 6z = 2y ............(eq.6)
From (eq.2) and (eq.3),
=> z = 3
From (eq.4) and (eq.6),
=> y = 3z
=> y = 3(3)
=> y = 9
Substitute ( y=9 ) in (eq.1),
=> x-2 = 9
=>x = 11
Thus x=11, y=9 and z=3.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : x = 3 .............(eq.1)
a12 : 3x-y = 2 .............(eq.2)
a21 : 2x+z = 4 ...........(eq.3)
a22 : 3y-w = 7 ..........(eq.4)
From (eq.1) ,
=> x = 3
Substitute (x=3) in (eq.2),
=> 3(3)-y = 2
=> y = 3(3) - 2
=> y = 7
Substitute ( x=3 ) in (eq.3),
=> 2(3)+z = 4
=>z = 4-6
=>z = -2
Substitute (y=7) in (eq.4),
=>3(7) - w = 7
=>w = 21 - 7
=>w = 14
Thus x=3, y=7, z=-2 and w=14.
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : x-y = -1 .............(eq.1)
a12 : z = 4 .............(eq.2)
a21 : 2x-y = 0 ...........(eq.3)
a22 : w = 5 ................(eq.4)
From (eq.2),
=> z = 4
And from (eq.4),
=> w = 5
Now, (eq.1) and (eq.3) form a system of equations comprising of variables x and y.
Thus, (eq.1) - (eq.2),
=> (x-2x) +(-y+y) = -1 - 0
=> -x = -1
=> x = 1
Substitute (x=1) in (eq.1),
=> 1-y = -1
=>y = 2
Thus, x=1, y=2, z=4 and w=5.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : x+3 = 0 .................(eq.1)
a12 : z+4 = 6 .............(eq.2)
a13 : 2y-7 = 3y-2 ........(eq.3)
a21 : 4x+6 = 2x .............(eq.4)
a22 : a-1 = -3 .................(eq.5)
a23 : 0 = 2c+2 ................(eq.6)
a31 : b-3 = 2b+4............(eq.7)
a32 : 3b = -21..................(eq.8)
a33 : z+2c = 0..................(eq.9)
From (eq.1) and (eq.4),
=> x = -3
From (eq.2) ,
=> z+4 = 6
=> z = 2
From (eq.3),
=> 2y-7 = 3y-2
=> 3y-2y = -7+2
=> y = -5
From (eq.5),
=> a = -3+1
=> a = -2
From (eq.8),
=> 3b = -21
=> b = -7
Substitute (z=2) in (eq.9),
=> 2+ 2c = 0
=> c = -1
Thus, x=-3, y=-5, z=2, a=-2, b=-7 and c=-1.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : 2x+1 = x+3...........(eq.1)
a12 : 5x = 10 ..................(eq.2)
a21 : 0 = 0 .....................(eq.3)
a22 : y2+1 = 26 ............(eq.4)
From (eq.1) and (eq.2),
=> 2x+1 = x+3
=> x=2
From (eq.4),
=> y2+1 = 26
=> y2 = 25
=> y = ± 5
Thus if y = +5,
=> x+y = 7
And if y = -5,
=> x+y = -3
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : xy = 8 .................(eq.1)
a12 : 4 = w ..................(eq.2)
a21 : z+6 = 0 ..............(eq.3)
a22 : x+y = 6 ..............(eq.4)
From (eq.2),
=> w = 4
And from (eq.3),
=> z = -6
Now, we can see that (eq.1) and (eq.4) form a system of equations comprising of variables x and y.
From (eq.1),
=> x = 8/y
Substitute (x=8/y) in (eq.4):
=> y + (8/y) = 6
=> y2 - 6y +8 = 0
Solving the above equation,
=> y2 - 4y - 2y + 8 = 0
=> y( y-4 ) -2( y-4 ) = 0
=> (y - 2)(y - 4) = 0
=> y = 2 or 4
Substitute in (eq.1):
=> when x=2, y=4 and when x=4, y=2.
Thus, (x,y) = (2,4) or (4,2) and z = -6 and w = 4.
Solution:
We know the order of a row matrix can be written as 1xn (1 row with n elements).
And similarly, the order of a column matrix is mx1.
So, a row matrix which is also a column matrix must be of the order (1x1).
As an example, we can take the matrix :
Solution:
In a diagonal matrix, only the diagonal elements possess non-zero values. Thus, for a nxn diagonal matrix, aii ≠ 0, for 1≤ i ≤ n.
And a scalar matrix is a diagonal matrix, such that all the diagonal elements are equal.
Thus, a matrix which is diagonal but not scalar is:
Solution:
A triangular matrix is a square matrix, and it is filled in such a way that, either the triangle above the main-diagonal is non-zero (upper-triangular) or the triangle below the diagonal is non-zero (lower-triangular).
Thus, an example would be :
Solution:
The above data can be represented in the form of tables:
For January 2013,
Deluxe Premium Standard Dealer A 5 3 4 Dealer B 7 2 3 For January to February,
Deluxe Premium Standard Dealer A 8 7 6 Dealer B 10 5 7 Thus, the two matrices are : and
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : 2x+1 = x+3 ............(eq.1)
a12 : 2y = y2+2 ...............(eq.2)
a21 : 0 = 0 .........................(eq.3)
a22 : y2-5y = -6 ..............(eq.4)
From (eq.1),
=> 2x-x = 3-1
=> x=2
Taking (eq.2), it can be re-written as,
=> y2-2y+2 = 0
=> y =
=> y = -1 ± i ( No real solutions )
Taking (eq.4), it can be re-written as,
=> y2 - 5y +6 = 0
Solving the equation,
=> y2 - 2y - 3y +6 = 0
=> y( y-2 ) -3( y-2 ) = 0
=> ( y-2 )( y-3 ) = 0
=> y = 2 or 3
As values of y are inconsistent, we can say that the above matrices are not equal for any (x,y) pair.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : x+10 = 3x+4 ............(eq.1)
a12 : y2+2y = 3 ...............(eq.2)
a21 : 0 = 0 ..........................(eq.3)
a22 : y2-5y = -4 ..............(eq.4)
From (eq.1),
=> 2x = 6
=> x = 3
Taking (eq.2), it can be re-written as,
=> y2+2y-3 = 0
=> y2 + 3y -y -3 = 0
=> y( y+3 ) -1( y+3 ) = 0
=> ( y+3 )( y-1 ) = 0
=> y = -3 or 1
Taking (eq.3), it can be re-written as,
=> y2-5y+4 = 0
=> y2 -4y -y +4 =0
=> y( y-4 ) -1( y-4 ) = 0
=> ( y-4 )( y-1 ) = 0
=> y = 4 or 1
The value of y that can satisfy both (eq.2) and (eq.3) is 1.
=> y=1
Thus, x=3 and y=1.
Solution:
As it is given that the matrices are equal, every element at a given index on the Left Hand Side (LHS) must be equal to the element at the same index on the Right Hand Side (RHS).
Thus,
a11 : a+4 = 2a+2 ..............(eq.1)
a12 : 3b = b2+2 ..............(eq.2)
a21 : 8 = 8 ..........................(eq.3)
a22 : -6 = b2-5b .............(eq.4)
From (eq.1),
=> a = 2
Taking (eq.2), it can be re-written as,
=> b2-3b+2=0
=> b2 - 2b -b +2 = 0
=> b(b-2) -1(b-2) = 0
=> (b-2)(b-1) = 0
=> b=1 or 2
Taking (eq.4) it can be re-written as,
=> b2 -5b +6 = 0
=> b2 - 3b -2b + 6 = 0
=> b( b-3 ) -2( b-3 ) = 0
=> ( b-3 )( b-2 ) = 0
=> b = 2 or 3
Thus, b=2 can satisfy both (eq.2) and (eq.4).
=> b = 2
Thus, a=2 and b=2.
Exercise 5.1 Set 2 in Chapter 5 expands on basic matrix concepts, focusing on more advanced operations and properties. It likely covers topics such as matrix equality, additive inverse of matrices, zero matrices, and special types of matrices like skew-symmetric matrices. This set helps students develop a deeper understanding of matrix algebra, preparing them for more complex applications in later chapters and in higher mathematics.
A zero matrix is a matrix in which all elements are zero. It acts as the additive identity in matrix addition.
The additive inverse of a matrix A is -A, where each element of A is multiplied by -1.
A skew-symmetric matrix is a square matrix A where A^T = -A, or equivalently, a_ij = -a_ji for all i ≠ j, and a_ii = 0.
No, only matrices of the same order can be added or subtracted.
Two matrices are equal if they have the same order and corresponding elements are equal.