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Matrix Calculator

Up to 4×4 matrices: det, inverse, transpose, power, scalar, A±B, and AB with fill tools and steps.

General

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How it works

Supports rectangular editors, A+B / A−B / AB, cA, Aⁿ, Aᵀ, det, and A⁻¹ (inverse up to 3×3). Matrix multiplication is not commutative.

det 2×2 = ad−bc · c_(i,j)=Σ a_(i,k)b_(k,j)

When to use

Use this tool when you need to: resize rows/cols (1–4). Try det of [[1,2],[3,4]] = −2. Use All 0 / Random tools. Power needs a square matrix.

How to use this tool

  1. Enter your values in the fields above.
  2. Review the formula and any mode options for your problem.
  3. Read the result and the step-by-step solution.

Resize rows/cols (1–4). Try det of [[1,2],[3,4]] = −2. Use All 0 / Random tools. Power needs a square matrix.

Frequently asked questions

What is the Matrix Calculator?
Supports rectangular editors, A+B / A−B / AB, cA, Aⁿ, Aᵀ, det, and A⁻¹ (inverse up to 3×3). Matrix multiplication is not commutative.
How do I use the Matrix Calculator?
Enter the required values, then calculate. The Matrix Calculator shows results, formulas, and step-by-step work when available. No account is required.
What formula does the Matrix Calculator use?
det 2×2 = ad−bc · c_(i,j)=Σ a_(i,k)b_(k,j)

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Matrix calculator

Edit Matrix A and B (up to 4×4). Run determinant, inverse, transpose, power, scalar multiply, A+B, A−B, or AB — with fill tools and step-by-step work.

Matrix A

×

det / inverse / power need square A (inverse up to 3×3). Multiplication needs cols(A) = rows(B). Addition and subtraction need equal sizes.

Try an example

How it works

What is a matrix?

A matrix is a rectangular array of numbers arranged in rows and columns. Dimensions m×n mean m rows and n columns. Element a_(i,j) is the entry in row i and column j. Matrices appear in physics, computer graphics, statistics, and numerical analysis.

Addition and subtraction

Addition and subtraction require equal size. Combine corresponding entries: c_(i,j) = a_(i,j) ± b_(i,j). Example: [[1,2],[3,4]] + [[5,6],[7,8]] = [[6,8],[10,12]]. Same matrices subtracted: [[−4,−4],[−4,−4]].

Multiplication, power, and transpose

Scalar: multiply every entry by c. Matrix product AB requires cols(A) = rows(B). Entry c_(i,j) is the dot product of row i of A and column j of B. In general AB ≠ BA. Power Aⁿ is defined for square A only (A multiplied by itself n times). A⁰ = I. Transpose Aᵀ swaps rows and columns (m×n becomes n×m).

Determinant

The determinant is a scalar from a square matrix. For 2×2: |A| = ad − bc. For 3×3, Laplace / Leibniz expansion: a(ei−fh) − b(di−fg) + c(dh−eg). Larger sizes use the same expansion pattern (this tool supports up to 4×4).

Inverse

A⁻¹ satisfies A·A⁻¹ = A⁻¹·A = I (identity). It exists only when det(A) ≠ 0. For 2×2: A⁻¹ = (1/(ad−bc)) · [[d,−b],[−c,a]]. For 3×3 the adjugate (cofactor transpose) scaled by 1/det is used. Identity matrices have 1s on the diagonal and 0s elsewhere.

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