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Matrix Eigenvalues Calculator

Eigenvalues and eigenvectors of a small real matrix via the characteristic polynomial. Same engine as Linear System. Not a CAS. Runs locally.

Instant result
Result

Enter values to calculate.

Inputs
Mode
Formula
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
Eigenvalues and eigenvectors for order 2–3 (engine up to 4).
Scope
Real matrices; eigenvalues may be complex
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
Specification basis
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.

Characteristic polynomialp(λ) = det(A − λI)
Eigenvector(A − λI)v = 0, ‖v‖₂ = 1
iFaddeev–LeVerrier char poly; roots via math.polynomial.roots (quadratic closed form, then Durand–Kerner). Not SVD. Not a CAS. Order ≤ 4. Complex eigenvalues of real matrices are returned as re/im pairs. Float64.

How to use

1

Enter a square matrix

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

2

Read λ and v

Each pair satisfies Av ≈ λv within residual_max. Ill-conditioned matrices warn.

Example calculations

Common configurations with formula and result.

ϟ

Diagonal

diag(2, 3)

2, 3
2, 3
ϟ

Rotation

[[0,−1],[1,0]]

±i
±i

Matrix Eigenvalues calculator specification

Version 1.2.0 · Engine tested

Calculation status

Review policy · Evidence

Definition
λ is an eigenvalue of A when det(A − λI) = 0. This page is a discovery surface on the linear-algebra engine (mode=eigen). LU, QR, det, inverse, rank, and Ax=b share the same capability.
What it calculates
Eigenvalues and eigenvectors for order 2–3 (engine up to 4).
Inputs
  • order
  • a11…
Outputs
  • eigenvalues
  • eigenvectors
  • residual_max
  • condition_number
Formula
det(A − λI) = 0
Assumptions
  • Real matrices; eigenvalues may be complex
  • Order ≤ 4
  • Float64
  • Not a CAS
  • Not SVD
Units
  • dimensionless
Boundary conditions
  • defective matrix → fewer independent eigenvectors + warning
  • unknown mode (including svd) → INVALID_MODE
Example
diag(2,3) → λ=2,3
Validation cases

2 published on this page · 18/18 tests · Production surface contract 3/3 · View evidence

  • order=2 a11=2 a12=0 a21=0 a22=3 → eigenvalues 2, 3
  • order=2 a11=0 a12=-1 a21=1 a22=0 → ±i
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Calculation version
1.2.0
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Frequently asked questions

Key distinctions behind the calculation.

Is this a second eigen solver?

No. It is mode=eigen on math.linear_algebra, the same engine as /calc/math/linear-system and /workspace/matrix.

Are complex eigenvalues supported?

Yes for real matrices. A 90° rotation returns ±i. SVD stays out of this seed.