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2x2 Eigenvalue Calculator

Compute the eigenvalues of any 2×2 matrix by solving its characteristic equation, returning real or complex-conjugate roots.
Enter four numbers: row 1 then row 2 (space or comma separated).
First eigenvalue λ₁
5

Second eigenvalue λ₂: 2

Eigenvalue λ₁
5
Eigenvalue λ₂
2
Trace (T)
7
Determinant (D)
10
Discriminant (Δ)
9
Root type
Real
Unit square after linear transformation by the matrix
Step by step
  1. 1

    Trace T = a + d

    4 + 3 = 7
  2. 2

    Determinant D = ad − bc

    4 × 3 − 1 × 2 = 10
  3. 3

    Discriminant Δ = T² − 4D

    7² − 4 × 10 = 9
  4. 4

    Eigenvalue λ₁ = (T + √Δ) ÷ 2

    (7 + 3) ÷ 2 = 5
Results are estimates for general information only and are not professional advice — always verify important results independently before relying on them. Read the full disclaimer.
Quick answer

How does this calculator work?

For a 2×2 matrix A = [[a,b],[c,d]], the eigenvalues solve λ² − Tλ + D = 0 with trace T = a+d and determinant D = ad−bc. Using the quadratic formula, λ = (T ± √(T²−4D))/2. A non-negative discriminant gives real roots; a negative one gives a complex-conjugate pair.

Formula
λ² − Tλ + D = 0, where T = a + d (trace), D = ad − bc (determinant); λ = (T ± √(T² − 4D)) / 2
How this is calculated

Enter the 2×2 matrix A = [[a, b], [c, d]] as two rows of two numbers. The calculator reads all four entries, then computes the trace T = a + d and the determinant D = ad − bc. These two scalars fully determine the eigenvalues of a 2×2 matrix.

The eigenvalues are the roots of the characteristic polynomial det(A − λI) = λ² − Tλ + D = 0. Solving with the quadratic formula gives λ = (T ± √Δ)/2 where the discriminant Δ = T² − 4D. When Δ ≥ 0 the two eigenvalues are real (equal when Δ = 0); when Δ < 0 they form a complex-conjugate pair λ = T/2 ± (√(−Δ)/2)·i.

All entries are treated as exact real numbers and results are rounded to four significant places for display. The method works for any real 2×2 matrix, including singular matrices (D = 0, giving an eigenvalue of 0) and repeated-root cases. Note that eigenvalues describe scaling directions of the linear map; the matching eigenvectors are not computed here.

Frequently asked questions

When the discriminant Δ = T² − 4D is negative. Then the roots are a complex-conjugate pair T/2 ± (√(−Δ)/2)·i, which commonly indicates rotational behavior in the linear map.

The trace equals the sum of the eigenvalues (λ₁ + λ₂ = T) and the determinant equals their product (λ₁·λ₂ = D). These relations are a quick way to check the computed values.

Yes. When Δ = 0 the matrix has a repeated eigenvalue λ = T/2. The matrix may or may not be diagonalizable in that case, but the single eigenvalue value is correct.

Also known as

eigenvalue calculator
2x2 eigenvalues
characteristic equation
matrix eigenvalues
lambda eigenvalue
eigenvalues
find eigenvalues

APA

TG we-Calculate Editorial Team. (2026). 2x2 Eigenvalue Calculator [Online calculator]. TG we-Calculate. https://we-calculate.com/calculator/eigenvalue-calculator-2x2

Chicago

TG we-Calculate Editorial Team. "2x2 Eigenvalue Calculator." TG we-Calculate. 2026. https://we-calculate.com/calculator/eigenvalue-calculator-2x2.

IEEE

TG we-Calculate Editorial Team, "2x2 Eigenvalue Calculator," TG we-Calculate, 2026. [Online]. Available: https://we-calculate.com/calculator/eigenvalue-calculator-2x2

BibTeX

@misc{wecalculate_eigenvalue_calculator_2x2, title = {2x2 Eigenvalue Calculator}, author = {{TG we-Calculate Editorial Team}}, howpublished = {\url{https://we-calculate.com/calculator/eigenvalue-calculator-2x2}}, year = {2026}, note = {TG we-Calculate} }

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