Question
Let and be matrices If and then determinant of is equal to :
Options
Solution
Key Concept: Properties of Matrix Multiplication and Determinants
This problem hinges on a crucial property of matrix algebra: If the product of two matrices, and , is the zero matrix (i.e., ), and if itself is a non-zero matrix, then matrix must be a singular (non-invertible) matrix. A singular matrix, by definition, has a determinant of zero. This is a common point of distinction between scalar and matrix algebra, where for scalars and implies . For matrices, doesn't necessarily have to be the zero matrix, but it must be non-invertible.
Given Information
We are given two matrices, and , with the following conditions:
- (This implies that the matrix is not the zero matrix).
- --- (Equation 1)
- --- (Equation 2)
Our goal is to find the determinant of the matrix .
Step-by-Step Solution
Step 1: Manipulating the Given Equations
The first step is to combine the given equations in a way that allows for factorization. Notice that both equations involve powers of and . Subtracting Equation (2) from Equation (1) is a strategic move because it creates terms that can be grouped and factored.
Subtract Equation (2) from Equation (1):
Now, we want to bring all terms to one side to facilitate factorization. Moving all terms to the left-hand side gives: (Note: '0' here represents the zero matrix, as and are matrices.)
Step 2: Factorization
Next, we group terms to identify common factors. We aim to factor out from the expression. Let's group the terms:
Now, we can factor out from the first group and from the second group. Remember that matrix multiplication is not commutative in general, so the order of factors matters. From the first group, . Here, is a common left factor. From the second group, . Here, is also a common left factor.
Substituting these back into the equation:
Now, observe that is a common right factor in both terms. Using the distributive property for matrices, we can factor out :
This is a critical intermediate result. Let's call and . So we have .
Step 3: Utilizing the Condition
We have the matrix equation . We are given that . This condition is crucial, as it means the matrix is not the zero matrix. In other words, .
Now we apply the key concept discussed at the beginning: If and are matrices such that and , then must be a singular (non-invertible) matrix.
Let's prove this briefly: Assume, for the sake of contradiction, that