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Math calculator

Matrix Rank Calculator

Rank of a small real matrix via Gaussian elimination. Same engine as Linear System. Not a CAS. Runs locally.

Instant result
Result
—

Enter values to calculate.

Inputs—
Mode—
Formula—
Trust summary CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published modes
Input interpretation
Enter values to calculate.
Result
—
Verified scope
all published modes
Assurance
Core
Declared partition coverage
PASS · 19/19 declared partitions (solve, det, inverse, multiply, transpose, rank, eigen, lu, chol, qr, svd, lstsq, rref, condition, nullspace, columnspace, rowspace, leftnullspace, invalid-domain) · Matrix
Known limitations
  • Core CVP does not include live graph, viewport, or pointer interaction.
Model
rank(A) for order 2–3 (engine up to 4).
Scope
Real matrices
Verification
Engine tested · Specification checked · v1.14.0 · CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published modes· View Manifest · CVP overview · Specification
Versions
Calculation 1.14.0 · CVP protocol 1.0.0-proposed · Evidence 2026-09-22.la-hardening-lu-svd
Verification revision
2026-09-22.la-hardening-lu-svd · 7/7 property · digest 7307c47e0dc1
Legacy regression
58/58 tests · Production surface contract 5/5
Trust layers
Verification VERIFIED · Production CURRENT · Overall CVP state: VERIFIED under CVP 1.0.0-proposed
Reference
O1 model · O2 expected_values · O2 numerical_behavior
Interfaces
PASS · UI (SSR) / REST / MCP — ui-ssr is query-result HTML, not a live browser session. Error-path engine·REST·MCP 1/1 (status, code, calculation_version). SSR compared on URL-canonical requested calculations; empty query is idle (not an error) and JSON-typed object/array inputs are REST/MCP-only.
Supplemental domain review
Not performed
Named expert review
Not performed
CVP suite
24/24 golden · 8/8 CVP boundary · 14/14 invalid · 7/7 property · 9/9 cross-interface · 2/2 cross-calculator · 5/5 CVP contract · Manifest
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Specification basis
Evidence
29 legacy golden · 6 legacy boundary · legacy regression suite · 24/24 oracle-backed golden · 14/14 invalid · Artifact integrity PASS
This calculator CURRENT · Public schema 1.14.0 matches · Semantic contract ✓ · Production attested · Public/cache ✓ · Origin ✓
Semantic contract
PASS
Full verification

Manifest identity, reference classes, interfaces, suite, and production records.

Formulas

Core equations used by this calculator.

Full rankdet(A) ≠ 0 ⇒ rank(A) = n
Eliminationrank = number of nonzero pivots
iNot a CAS. Not SVD. Order ≤ 4. Pivot tests are scale-aware (ε·max(m,n)·‖A‖_max), the same cutoff used for a vanishing determinant.

How to use

1

Enter a square matrix

2×2 or 3×3. Larger composition lives at /workspace/matrix.

2

Read rank(A)

rank < n means singular: inverse does not exist and det = 0.

Example calculations

Common configurations with formula and result.

ϟ

Dependent rows

[[1,2],[2,4]]

1
1
ϟ

Identity

I₂

2
2

Matrix Rank calculator specification

Version 1.14.0 · Engine tested

Calculation status

Review policy · Evidence

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
  • Planar ℝ² figure when order=2; order 3+ omits it
  • Not a CAS
  • Not SVD
Units
  • dimensionless
Boundary conditions
  • unknown mode (including jordan-form) → INVALID_MODE
Example
[[1,2],[2,4]] → rank=1
Validation cases

2 published on this page · 58/58 tests · Production surface contract 5/5 · 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
1.14.0

Other calculators in this family: Cholesky Factorization Calculator, Column Space Calculator, Condition Number Calculator, Least Squares Calculator, Left Nullspace Calculator, Linear System Calculator, LU Factorization Calculator, Matrix Determinant Calculator . Explore all Linear Algebra.

→ Cholesky Factorization Calculator Lower Cholesky factorization of a small real symmetric positive-definite matrix. Same engine as Linear System. Not LU. Not a CAS. Runs locally. › → Column Space Calculator Column space (image) of a small real square matrix from RREF pivot columns. Same engine as Linear System. Trivial image is {0}. Left-nullspace is a sibling. Runs locally. › → Condition Number Calculator κ₁(A) = ‖A‖₁ ‖A⁻¹‖₁ for a small real square matrix. Same engine as Linear System. Singular matrices return infinite. Not a 2-norm product. Runs locally. › → Least Squares Calculator Linear least squares for a small real matrix, square or rectangular. Full column rank uses QR; otherwise SVD. Same engine as Linear System. Not Statistics regression. Runs locally. › → Left Nullspace Calculator Left-nullspace (cokernel) of a small real square matrix as ker(Aᵀ). Same engine as Linear System. Trivial left kernel is {0}. Not Jordan form. Runs locally. › → Linear System Calculator Solve small linear systems Ax = b, plus det, inverse, rank, LU, Cholesky, QR, SVD, least squares, RREF, condition number, nullspace, column space, rowspace, left-nullspace, and eigenvalues. Same engine as the matrix workspace. Not a CAS. Runs locally. › → LU Factorization Calculator Doolittle LU factorization with partial pivoting for a small real matrix. Same engine as Linear System. Not a CAS. Runs locally. › → Matrix Determinant Calculator Determinant of a small real matrix. Same engine as Linear System and the matrix workspace. Not a CAS. Runs locally. ›

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.