Linear Algebra

Eigenvalue Calculator

Inspect the eigenvalues, eigenvectors, trace, and determinant of a 2×2 matrix in one panel.

eigenvalueeigenvectorcharacteristic polynomial
Eigenvalues (2×2)

Compute eigenvalues and normalized eigenvectors for a 2×2 matrix.

Trace
7
Determinant
10
Eigenvalues
5, 2
Eigenvector λ₁
0.707107 -0.707107
Eigenvector λ₂
-0.894427 -0.447214

Characteristic equation

λ² − (a + d)λ + (ad − bc) = 0

Eigenvalues solve the characteristic polynomial. For each eigenvalue, the calculator returns a normalized eigenvector.

How to use

  1. Enter a 2×2 matrix with two numbers per row.
  2. Submit to compute eigenvalues λ₁ and λ₂ along with representative eigenvectors.
  3. Review supporting information like trace and determinant.

Example

Input: Matrix = [[4,1],[2,3]]

Output: Eigenvalues ≈ 5.5616 and 1.4384 with normalized eigenvectors.

Student-friendly breakdown

This walkthrough emphasizes the most searched ideas for Eigenvalue Calculator: matrix calculator, determinant calculator, matrix multiplication calculator, eigenvalue calculator. Start with the formula above, then follow the guided steps to double-check your work. For quick revision, highlight the givens, plug into the equation, and finish by verifying your units.

Need more support? Use the links below to open the long-form guide, browse additional examples, or hop into adjacent calculators within the same topic. Each resource is interlinked so crawlers (and readers) can discover the next best action within a couple of clicks—one of the easiest ways to lift topical authority.

Deep dive & study plan

The Eigenvalue Calculator is a go-to tool whenever you need to finds eigenvalues and normalized eigenvectors for 2×2 matrices.. It focuses on eigenvalue, eigenvector, characteristic polynomial, which means searchers often arrive with intent-heavy queries like “how to eigenvalue calculator quickly” or “eigenvalue calculator formula explained.” Use this calculator to capture those intents and keep learners on the page long enough to send positive engagement signals.

Under the hood, the calculator leans on eigenvalues solve the characteristic polynomial. for each eigenvalue, the calculator returns a normalized eigenvector.—that’s why we surface the full expression (“λ² − (a + d)λ + (ad − bc) = 0”) directly above the interactive widget. When you embed that formula inside H2s or supporting paragraphs, you help both humans and crawlers understand what entity the page represents.

Execution matters as much as the math. Follow the built-in procedure: Step 1: Enter a 2×2 matrix with two numbers per row. Step 2: Submit to compute eigenvalues λ₁ and λ₂ along with representative eigenvectors. Step 3: Review supporting information like trace and determinant.. Each numbered instruction is short enough to scan on mobile but descriptive enough to satisfy Google’s Helpful Content guidelines. Encourage students to jot down units, double-check signs, and compare answers with the Example card to build confidence.

The Example section itself is packed with semantic clues: “Matrix = [[4,1],[2,3]]” leading to “Eigenvalues ≈ 5.5616 and 1.4384 with normalized eigenvectors..” Pepper similar narratives throughout your copy (and internal links from related guides) so canonical search intents are answered without pogo-sticking back to Google.

Quick retention checklist

  • Speak the formula aloud (or annotate it) so the relationships stick.
  • Write each step in your own words and compare with the numbered list above.
  • Swap in new numbers for the Example to make sure the calculator (and your logic) handles edge cases.
  • Link out to at least two related calculators to keep readers exploring your topical hub.

FAQ & notes

Does it handle complex eigenvalues?

When the discriminant is negative the calculator reports the repeated real component. Complex visualization is planned for a future update.

Can I analyse larger matrices?

This tool focuses on 2×2 matrices for clarity. Use the polynomial solver for higher-degree characteristic equations.

What formula does the Eigenvalue Calculator use?

Eigenvalues solve the characteristic polynomial. For each eigenvalue, the calculator returns a normalized eigenvector.

How do I use the Eigenvalue Calculator?

Enter a 2×2 matrix with two numbers per row. Submit to compute eigenvalues λ₁ and λ₂ along with representative eigenvectors. Review supporting information like trace and determinant.