Question 1.
Prove that the determinant
is independent of .
Solution.
Compute the determinant by expanding along the first row:
Evaluate each determinant:
Add the three parts:
Thus the determinant equals , which does not depend on .
Question 2.
Evaluate the determinant
Solution:
Let
We will expand along the second row since it has a zero term.
Step 1: Expansion along second row
Simplify the cofactors:
Step 2: Evaluate the 2×2 determinants
For the first:
For the second:
Step 3: Substitute back
Final Answer:
Question 3.
If
find
Solution:
We know the property of inverse of a product:
Step 1: Find
Let
To find , compute by the adjoint method (or via row operations).
After simplification, we get:
Step 2: Compute
Now multiply and :
Step 3: Matrix multiplication
Step 4: Write the result
Final Answer:
Question 4.
Let
Verify that
(i)
(ii)
Answer & proof
(i) General identity and verification.
For any invertible square matrix A we have the identity
Taking inverses on both sides (and using ( for scalar ) gives
Also for the inverse matrix we have
But and , so
Comparing the two expressions we obtain the required equality for any invertible :
Verification for the given matrix .
Compute , and the two sides explicitly:
One finds
Then
And using gives exactly the same matrix. So the identity holds for this .
(ii):
Given
verify that
Step 1. Find
We already know from earlier computation that
Now, let’s find the adjoint of :
Compute cofactors of :
So the adjoint of A is its transpose:
Hence,
Step 2. Find
By the definition of matrix inverse:
Multiplying both sides on the left by , we get:
which simplifies to:
Step 3. Verify numerically
If you actually take the inverse of (by determinant and adjoint, or by direct computation),
you’ll get back the original matrix :
Final Answer:
Question 5.
Evaluate
Solution:
Let
We will simplify this determinant using column operations.
Step 1: Simplify columns
Let’s apply the operation
(i.e., replace the third column with )
Compute the new third column entries:
-
For first row:
-
For second row:
-
For third row:
So the new determinant becomes:
Step 2: Expand along the first row (since it has a zero)
Step 3: Compute each determinant
-
For the first one:
-
For the second one:
Step 4: Substitute back
Final Answer:
Question 6.
Evaluate
Solution:
Let
We’ll simplify this determinant using row operations.
Step 1: Simplify rows
Perform the following operations:
Compute the new rows:
-
-
So the new determinant becomes:
Step 2: Expand along the first column
Final Answer:
Question 7.
Solve the system
Solution (matrix method)
Put . Then the system becomes linear in :
In matrix form where
Solve . Doing this (or by Cramer’s rule / row reduction) gives
So
Convert back to :
Check
Substitute into the original equations:
all hold.
Answer:
Question 8.
If are nonzero real numbers, then the inverse of the matrix
is which of the following?
(A)
(B)
(C)
(D)
Answer: (A).
Reason: For a diagonal matrix, the inverse (when all diagonal entries are nonzero) is the diagonal matrix of reciprocals. Check :
Question 9.
Let
Which of the following is true?
(A)
(B)
(C)
(D)
Solution
Compute the determinant by expansion along the first row:
So
Since , we have
Thus . The correct choice is (D).