Eigenvalue & Eigenvector Calculator

Characteristic polynomial, eigenvalues and unit eigenvectors for 2×2 and 3×3 matrices — repeated roots reported honestly, complex pairs included, and every result checked against the trace and determinant identities.

Example — Eigenvalues of [[4, 1], [2, 3]]λ = 5, v = (1, 1) · λ = 2, v = (1, −2) (either order, any nonzero multiples)

The default 2×2 is the textbook case: λ = 5 with v = (1, 1) and λ = 2 with v = (1, −2).

How we got it — the example, step by step

  1. det(A − λI) = (4 − λ)(3 − λ) − 2 = λ² − 7λ + 10 = (λ − 5)(λ − 2).
  2. λ = 5: (A − 5I)v = 0 gives −x + y = 0, so v = (1, 1). λ = 2: 2x + y = 0, so v = (1, −2). The page quotes the unit-length versions.

Check it backwards

Direct substitution: A(1, 1) = (5, 5) = 5(1, 1) and A(1, −2) = (2, −4) = 2(1, −2). Also the identities: 5 + 2 = 7 = trace, 5 × 2 = 10 = determinant.

Questions people also ask

Why is my eigenvector's sign or scale different from my textbook?
Eigenvectors are defined only up to a nonzero multiple — (1, 1), (2, 2) and (−1, −1) are the same direction. This page quotes unit-length vectors so answers can be compared; a multiple of the book's answer is the same answer.

What if the eigenvalues are complex?
Then A rotates as it scales and no real direction survives — the rotation matrix [[0, −1], [1, 0]] gives λ = ±i. For 2×2 you get the complex eigenvectors too; for 3×3 the complex eigenvalues are reported and the page says plainly that their vectors are not shown.

Are 4×4 matrices supported?
No — 2×2 and 3×3 only. A quartic characteristic polynomial has no tidy classroom route, and a numerical 4×4 eigensolver deserves its own page rather than a silent approximation here.

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Every answer on this page is computed, not typed from memory — the check under each result runs the calculation backwards. Figures are rounded only where the page says so. Last updated: October 13, 2026 · Clirto — every answer free, every step shown.

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