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Solution - Matrix core operations

[0.250.250.1666670.166667]
[[0.25,0.25],[0.166667,-0.166667]]

Other Ways to Solve

Matrix core operations

Step-by-step explanation

1. Parse matrix operation input

v([2323])

Operation detected: matrix inverse.

v([2323])

Input matrix A has size 2x2.

[2323]

Square-matrix requirement satisfied for this operation.

v([2323])

An inverse matrix A^-1 is defined by A*A^-1 = I.

v([2323])

An inverse exists only when the determinant is non-zero.

v([2323])

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

2. Execute matrix operation

v([2323])

Build the augmented matrix [A|I], then apply row operations until the left side becomes I.

v([2323])

When left side is I, the right side is the inverse A^-1.

v([2323])

R1 <- 1/2R1

[11.50.502301]

R2 <- R2 - 2R1

[11.50.500611]

R2 <- -1/6R2

[11.50.50010.1666670.166667]

R1 <- R1 - 3/2R2

[100.250.25010.1666670.166667]

c1c2 c3 c4
2310
2 -301

Track both sides of [A|I]: the same row operations transform I into A^-1.

3. Return final matrix result

v([2323])=[0.250.250.1666670.166667]

[0.250.250.1666670.166667]

The right block of [A|I] is the inverse matrix after reducing the left block to identity.

[0.250.250.1666670.166667]

Study tip: multiply A by A^-1 to check that the product is the identity matrix.

[0.250.250.1666670.166667]

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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