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Solution - Matrix core operations

16
16

Other Ways to Solve

Matrix core operations

Step-by-step explanation

1. Parse matrix operation input

det([4054])

Operation detected: determinant.

det([4054])

Input matrix A has size 2x2.

[4054]

Square-matrix requirement satisfied for this operation.

det([4054])

The determinant compresses a square matrix into one scalar that tracks scaling and orientation.

det([4054])

If the determinant is 0, rows are linearly dependent and the matrix is singular.

det([4054])

Identify the requested operation and validate matrix dimensions and numeric entries.

2. Execute matrix operation

det([4054])

Use elimination to convert A into upper-triangular form; then multiply diagonal entries.

det([4054])

Every row swap multiplies the determinant by -1. Swap count: 1.

det([4054])

R1 <-> R2

[5440]

R2 <- R2 - 4/5R1

[5403.2]

This is the upper-triangular matrix used for the determinant product.

[5403.2]

det([4054])=16

After triangularization, determinant comes from sign factor and diagonal product.

3. Return final matrix result

det([4054])=16

16

Determinant is non-zero, so the matrix is invertible.

16

Study tip: determinant zero means not invertible; non-zero means invertible.

16

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.

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