Matrix Determinant Calculator
The determinant of a matrix is a scalar value that encodes information about the matrix's properties and the transformation it represents. For square matrices, the determinant tells you whether the matrix is invertible (a non-zero determinant means it is invertible), and it represents the scaling factor of volumes under the linear transformation. This calculator computes the determinant for 2x2 and 3x3 matrices and immediately tells you whether the matrix is singular (non-invertible) or regular (invertible).
Matrix A
Determinant formulas
2x2: det = ad - bc
3x3: Cofactor expansion along first row
Determinant calculator: frequently asked questions
What is the determinant of a matrix?
The determinant is a scalar value computed from the elements of a square matrix. It has many important properties: it tells you whether a matrix is invertible (det ≠ 0 means invertible), it represents the scaling factor of the linear transformation the matrix represents, and the absolute value represents the volume scaling in geometric transformations.
How do you calculate the determinant of a 2x2 matrix?
For a 2x2 matrix [[a, b], [c, d]], the determinant is ad - bc. This is a simple formula: multiply the diagonal elements and subtract the product of the off-diagonal elements.
How do you calculate the determinant of a 3x3 matrix?
For a 3x3 matrix, there are several methods. The Sarrus rule is one approach. The cofactor expansion method expands along a row or column, reducing it to three 2x2 determinants. This calculator uses cofactor expansion along the first row.
What does it mean if the determinant is zero?
If the determinant is zero, the matrix is singular, meaning it is not invertible. Geometrically, it means the matrix collapses the space into a lower dimension. The rows and columns are linearly dependent.
What are applications of determinants?
Determinants are used to check if a matrix is invertible, to solve systems of linear equations (Cramer's rule), to compute volumes and areas in geometry, to find eigenvalues, and in computer graphics and physics simulations.
Official sources
- Khan Academy: Matrix determinant.
- Wolfram MathWorld: Determinant.
Reviewed by the CalculatorHub team, edited by James Graham, 14 June 2026. See our methodology.