Step-by-step explanation
1. Parse matrix operation input
Operation detected: determinant.
Input matrix A has size 2x2.
Square-matrix requirement satisfied for this operation.
The determinant compresses a square matrix into one scalar that tracks scaling and orientation.
If the determinant is 0, rows are linearly dependent and the matrix is singular.
Identify the requested operation and validate matrix dimensions and numeric entries.
2. Execute matrix operation
Use elimination to convert A into upper-triangular form; then multiply diagonal entries.
Every row swap multiplies the determinant by -1. Swap count: 0.
R2 <- R2 + 1/2R1
This is the upper-triangular matrix used for the determinant product.
After triangularization, determinant comes from sign factor and diagonal product.
3. Return final matrix result
Determinant is non-zero, so the matrix is invertible.
Study tip: determinant zero means not invertible; non-zero means invertible.
Present the final matrix or scalar outcome in canonical form for stable routing and review.
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Matrix operations are foundational for linear algebra, systems, and transformation workflows.