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Chapter 5 of RD Sharma's Class 12 Mathematics textbook focuses on the Algebra of Matrices. Exercise 5.4 specifically deals with elementary operations on matrices and their properties. This exercise is crucial for understanding how matrices can be manipulated and transformed, which is fundamental in various fields of mathematics and its applications.
(i) (2A)T = 2AT
(ii) (A + B)T = AT + BT
(iii) (A − B)T = AT − BT
(iv) (AB)T = BT AT
Solution:
(i) Given: A = and B =
Assume,
(2A)T = 2AT
Substitute the value of A
L.H.S = R.H.S
Hence, proved.
(ii) Given: A = and B =
Assume,
(A+B)T = AT + BT
L.H.S = R.H.S
Hence, proved.
(iii) Given: A= and B=
Assume,
(A − B)T = AT − BT
L.H.S = R.H.S
Hence, proved
(iv) Given: A = and B =
Assume,
(AB)T = BTAT
Therefore, (AB)T = BTAT
Hence, proved.
Solution:
Given: A = and B =
Assume,
(AB)T = BTAT
L.H.S = R.H.S
Hence proved
(i) (A + B)T = AT + BT
(ii) (AB)T = BTAT
(iii) (2A)T = 2AT
Solution:
(i) Given: A =
and B =
Assume
(A + B)T = AT + BT
L.H.S = R.H.S
Hence proved
(ii) Given: A = and B =
Assume,
(AB)T = BTAT
L.H.S =R.H.S
Hence proved
(iii) Given: A = and B =
Assume,
(2A)T = 2AT
L.H.S = R.H.S
Hence proved
Solution:
Given: A = and B =
Assume,
(AB)T = BTAT
L.H.S = R.H.S
Hence proved
Solution:
Given: A = and B =
Here we have to find (AB)T
Hence,
(AB)T =
Solution:
Given,
(AB)T = BTAT
⇒
⇒
⇒
⇒
⇒ L.H.S = R.H.S
Hence,
(AB)T = BTAT
Solution:
Given,
(AB)T = BTAT
⇒
⇒
⇒
⇒
⇒ L.H.S = R.H.s
So,
(AB)T = BTAT
Solution:
Given that
We need to find AT - BT.
Given that,
Let us find AT - BT
⇒
⇒
⇒
Solution:
⇒
⇒
⇒
Hence,we have verified that A'A = I
Solution:
Hence, we have verified that A'A = I
Solution:
Given,
li, mi, ni are direction cosines of three mutually perpendicular vectors
⇒
And,
Given,
= I
Hence,
AAT = I
Exercise 5.4 covers the following key topics:
Elementary row operations
Elementary column operations
Properties of elementary operations
Equivalence of matrices
Row-reduced echelon form
Applications of elementary operations in solving systems of linear equations
These concepts are essential for more advanced topics in linear algebra and have practical applications in fields such as computer graphics, economics, and engineering.