Matrix Rank Calculator
Rank of a small real matrix via Gaussian elimination. Same engine as Linear System. Not a CAS. Runs locally.
Trust summary Engine tested · Specification checked · 18/18 tests · Production surface contract 3/3 · v1.2.0
- Input interpretation
- Enter values to calculate.
- Result
- —
- Model
- rank(A) for order 2–3 (engine up to 4).
- Scope
- Real matrices
- Verification
- Engine tested · 18/18 tests · Production surface contract 3/3 · Specification checked · v1.2.0
- Named expert review
- Optional · Not performed
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Evidence
- 7 golden · 2 boundary · 9 property · Production surface contract 3/3 · Artifact integrity PASS
- Production
- Embedded snapshot: STALE · Last attested schema matched 1.2.0 snapshot / local build · Semantic contract ✓ · Last attestation PASS · current evidence changed · re-attestation required · Public/cache ✓ · Origin ✓ · Live production status STALE (1 capability; 163 remain CURRENT) @ 2026-09-19T00:00:17.039Z
- Semantic contract
- PASS
Formulas
Core equations used by this calculator.
How to use
Enter a square matrix
2×2 or 3×3. Larger composition lives at /workspace/matrix.
Read rank(A)
rank < n means singular: inverse does not exist and det = 0.
Example calculations
Common configurations with formula and result.
Dependent rows
[[1,2],[2,4]]
Identity
I₂
Matrix Rank calculator specification
Version 1.2.0 · Engine tested
- Engine tested 18/18 tests · Production surface contract 3/3
- Named expert review Not performed
- Calculation version 1.2.0
- Definition
- rank(A) is the number of linearly independent rows (or columns). This page is a discovery surface on the linear-algebra engine (mode=rank). Determinant, inverse, and Ax=b share the same capability.
- What it calculates
- rank(A) for order 2–3 (engine up to 4).
- Inputs
- order
- a11…
- Outputs
- rank
- det
- Formula
rank via Gaussian elimination- Assumptions
- Real matrices
- Order ≤ 4
- Not a CAS
- Not SVD
- Units
- dimensionless
- Boundary conditions
- unknown mode (including svd) → INVALID_MODE
- Example
- [[1,2],[2,4]] → rank=1
- Validation cases
2 published on this page · 18/18 tests · Production surface contract 3/3 · View evidence
- order=2 a11=1 a12=2 a21=2 a22=4 → rank=1
- order=2 a11=1 a12=0 a21=0 a22=1 → rank=2
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Calculation version
- 1.2.0
Related tools
Other calculators in this family: Linear Equation Calculator, Linear System Calculator, LU Factorization Calculator, Matrix Determinant Calculator, Matrix Eigenvalues Calculator, Matrix Inverse Calculator, Polynomial Roots Calculator, QR Factorization Calculator . Explore all Algebra & Equations.
Frequently asked questions
Key distinctions behind the calculation.
Is this a second rank algorithm?
No. It is mode=rank on math.linear_algebra, the same engine as /calc/math/linear-system and /workspace/matrix.
Is rank the same as the number of nonzero eigenvalues?
Not always (defective matrices). Eigenvalues are mode=eigen on this same engine; SVD stays out of the seed.