Q.Evaluate .
The determinant of a matrix is . For , this gives .
Why Determinants Matter
A determinant is a single number that captures essential information about a square matrix. For a matrix, it tells you whether the matrix is invertible (non-zero determinant) or singular (zero determinant). Geometrically, it represents the area scaling factor of the linear transformation the matrix describes — a negative determinant means the transformation flips orientation.
The formula itself comes from solving a system of two linear equations. If you have:
then eliminating variables leads to the expression appearing in the denominator. That's why it's so fundamental.
Step-by-Step Evaluation
- Identify the entries. For a matrix , the determinant is defined as:
In our matrix , we have:
- (top-left)
- (top-right)
- (bottom-left)
- (bottom-right)
- Apply the formula. Substitute into :
- Compute carefully — watch the signs. First term: Second term: , but note the minus sign in front: So:
A common mistake is forgetting that , not . If you mistakenly use , you'd get , which is wrong. Always copy the sign of each entry exactly as given.
For a determinant, think of it as "multiply the main diagonal, subtract the product of the other diagonal." The main diagonal goes from top-left to bottom-right ( and ), the other diagonal goes from top-right to bottom-left ( and ).
The value of the determinant is .
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