Eigenvalue and Eigenvector Calculator (2×2 and 3×3, complex supported)
Characteristic polynomial, exact eigenvalues — rational, surd like (1±√5)/2, or complex like ±i for a rotation — with eigenvectors, algebraic and geometric multiplicities, and a clear verdict on diagonalizability.
Related tools
All Matrices & vectors tools →Eigenvalue and Eigenvector Calculator (2×2 and 3×3, complex supported) is free to use as often as you like, directly from this page. You will find it under Matrices & vectors, with Complex Number Calculator and Angle Between Two Vectors Calculator for the neighbouring cases.
How to use it
- Open the tool — no signup or install needed.
- Enter your input or adjust the available options.
- Get your result instantly, then copy or download it.
Frequently asked questions
What is Eigenvalue and Eigenvector Calculator (2×2 and 3×3, complex supported)?
Characteristic polynomial, exact eigenvalues — rational, surd like (1±√5)/2, or complex like ±i for a rotation — with eigenvectors, algebraic and geometric multiplicities, and a clear verdict on diagonalizability.
When would I actually use this?
Checking a decomposition done by hand, solving a linear system, and finding the eigenvalues that describe how a transformation stretches space.
What is the most common mistake?
Inverting a matrix to solve a system. Elimination or a factorisation is both faster and far more stable numerically; an explicit inverse amplifies rounding error, especially when the matrix is close to singular.
How is Eigenvalue and Eigenvector Calculator (2×2 and 3×3, complex supported) different from Complex Number Calculator?
They sit next to each other but answer different questions: Complex Number Calculator is the one to open when you need it to add, subtract, multiply and divide complex numbers, with modulus, argument, conjugate and polar form. Pick whichever matches what you're starting from — both are free.
Is there a tool for the next step?
Angle Between Two Vectors Calculator is the closest one after this: θ = arccos(a·b / (|a||b|)) in 2D or 3D, in degrees and radians, with the dot product, both magnitudes, the projections and a parallel / perpendicular / acute / obtuse verdict.
What else is worth having open alongside it?
Column Space Calculator (basis of Col(A), rank, pivot columns) and Cramer's Rule Calculator — they come up in the same task often enough to be worth a second tab.
Where do the figures come from?
The decompositions follow their textbook definitions with partial pivoting where it applies. Results are exact for small integer matrices and subject to floating-point rounding otherwise.