Matrix Calculator

Matrix Calculator

Matrix A
Result

About Matrix Calculator

Matrix Operations

A matrix is a rectangular array of numbers arranged in rows and columns. Matrices are fundamental to linear algebra and used extensively in computer graphics (transformations, rotations), physics (quantum mechanics, mechanics), engineering (systems of equations), economics (input-output models), machine learning (neural networks), and statistics (multivariate analysis). Matrix operations allow solving complex systems efficiently.

Key Operations

Addition/Subtraction: Element-by-element, matrices must be same size. Multiplication: Dot products of rows and columns. A(mxn) x B(nxp) = C(mxp). Not commutative (AB may not equal BA). Transpose: Swap rows and columns. Determinant: Scalar value indicating if matrix is invertible (det != 0). Inverse: A^-1 such that A*A^-1 = Identity. Only exists if determinant is non-zero.

How to Use This Calculator

Select the matrix size and operation. Enter values into the matrix grid(s). Click Calculate to see the result. For multiplication, the number of columns in the first matrix must equal the number of rows in the second. The calculator shows step-by-step computation for educational understanding.

Frequently Asked Questions

Why is matrix multiplication not commutative?

The order matters because each position in the result depends on specific row-column combinations. AB and BA often have different dimensions or, even if same size, different values. This reflects real-world operations where order matters (rotating then translating differs from translating then rotating).

What does the determinant tell us?

The determinant indicates: whether the matrix is invertible (det != 0), the scaling factor of the linear transformation, and whether orientation is preserved (positive) or flipped (negative). A zero determinant means the matrix maps space to a lower dimension.

When is a matrix not invertible?

A matrix is not invertible (singular) when its determinant equals zero. This means its rows/columns are linearly dependent: one row can be expressed as a combination of others. The system of equations it represents has no unique solution.