Matrix Determinant Calculator
Determinant of a small real matrix. Same engine as Linear System and the matrix workspace. Not a CAS. Runs locally.
Enter values to calculate.
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
- det(A) for order 2–3 (engine up to 4).
- Scope
- Real matrices
- Verification
- Engine tested · Source checked · v1.14.12 · CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published modes· View Manifest · CVP overview · Specification
- Versions
- Calculation 1.14.12 · CVP protocol 1.0.0-proposed · Evidence 2026-10-09.qr-root-position-disks
- Verification revision
- 2026-10-09.qr-root-position-disks · 10/10 property · digest 0214764e3fff
- 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 expected_values · O2 expected_values · O2 expected_values · O2 expected_values · O2 numerical_behavior
- Interfaces
- PASS · UI (SSR) / REST / MCP
- Supplemental domain review
- Not performed
- Named expert review
- Not performed
- CVP suite
- 431/431 golden · 8/8 CVP boundary · 68/68 invalid · 10/10 property · 1/1 metamorphic · 48/48 cross-interface · 2/2 cross-calculator · 5/5 CVP contract · Manifest
- Sources
- Sources
- Evidence
- 29 legacy golden · 6 legacy boundary · legacy regression suite · 431/431 oracle-backed golden · 68/68 invalid · Artifact integrity PASS
- Semantic contract
- PASS
Full verification
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 det(A)
Use Inverse when det ≠ 0, or Rank when you need the dimension of the column space.
Example calculations
Common configurations with formula and result.
[[1,2],[3,4]]
1·4 − 2·3
Singular
[[1,2],[2,4]]
Matrix Determinant calculator specification
Version 1.14.12 · Engine tested
- Engine tested 58/58 tests · Production surface contract 5/5
- Named expert review Not performed
- Calculation version 1.14.12
- Definition
- det(A) is the signed volume scale factor of a square matrix. This page is a discovery surface on the linear-algebra engine (mode=det). Inverse, rank, and Ax=b share the same capability.
- What it calculates
- det(A) for order 2–3 (engine up to 4).
- Inputs
- order
- a11…
- Outputs
- det
- Formula
det(A)- Assumptions
- Real matrices
- Order ≤ 4
- Planar ℝ² figure when order=2; order 3+ omits it
- Not a CAS
- Units
- dimensionless
- Boundary conditions
- unknown mode (including jordan-form) → INVALID_MODE
- Example
- [[1,2],[3,4]] → det=−2
- Validation cases
2 published on this page · 58/58 tests · Production surface contract 5/5 · View evidence
- order=2 a11=1 a12=2 a21=3 a22=4 → det=-2
- order=2 a11=1 a12=2 a21=2 a22=4 → det=0
- Sources
- ISO 80000-2:2019 Quantities and units — MathematicsSupports: Mathematical symbols and notation. This standard is not numerical verification or an endorsement of this implementation.
- NIST DLMF §1.2 — Elementary Algebra — Determinants and matrices; systems of linear equationsSupports: Determinants, inverses, matrix identities, and linear-system relationships.
- ISO 80000-2:2019 Quantities and units — Mathematics
- Calculation version
- 1.14.12
Background
Interpretation and common distinctions.
What does this matrix determinant calculator compute?
det(A) is the signed volume scale factor of a square matrix.
The published formula or method is det(A). The following references support the stated mathematics or method:
- NIST DLMF §1.2 — Elementary Algebra: Determinants, inverses, matrix identities, and linear-system relationships.
Which inputs and limits should you check?
Rank, inverse, subspace, and least-squares decisions depend on the stated tolerance and conditioning. Inspect residuals and warnings before interpreting a nearly singular matrix.
The worked example uses 1·4 − 2·3 with −2. Compare it with the Example calculations and the complete result for the same inputs.
How can you verify and cite this result?
CalculatorX is responsible for this page. The mathematical references above explain the model; implementation checks and their scope are documented separately in the math.linear_algebra v1.14.12 Evidence and capability contract. Read the displayed verification and production state together with the specification's numerical limits.
Use the clean calculator URL to cite the tool. A shared input link identifies a particular calculation. Content updates, numerical verification, and domain reviews have separate dates and scopes.
Related tools
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 Eigenvalues Calculator . Explore all Linear Algebra.
Frequently asked questions
Key distinctions behind the calculation.
Is this a second determinant engine?
No. It is mode=det on math.linear_algebra, the same engine as /calc/math/linear-system and /workspace/matrix.
Where does this run?
Locally in the browser by default. REST and MCP call the same linear-algebra engine.