eigenvalue

Matrix scaling factor

In linear algebra, an eigenvalue is a scalar that characterizes how a linear transformation stretches or compresses space along a particular direction.

When a matrix transforms a vector and the result points in the same direction as the original (possibly reversed), the factor by which it's scaled is the eigenvalue.

The concept appears throughout physics, engineering, and data science—in quantum mechanics, structural analysis, and principal component analysis.

The largest eigenvalue determines the system's dominant behavior.

linear-algebra

matrix

Ordered numerical arrangement

determinant · multiplicity · scalar · decomposition · trace · transpose · symmetric · triangular · invertible · coefficient

spectral

spectrum

Continuous range of values

largest · smallest · positive · negative · real · complex · imaginary · conjugate · distinct · repeated

quantum

eigenstate

Operator-invariant quantum state

measurement · Schrödinger · energy · spin · superposition · collapse · degeneracy · perturbation · stationary · quantization

computation

numerical

Relating to figures

  • algorithmFinite problem-solving procedure
  • iterationRepeated procedural pass
  • QRTwo-dimensional scannable code

solver · convergence · approximation · estimation · MATLAB · sparse · sensitivity · roundoff · stability

Categories
Opposites
eigendecomposition components

eigenvalueeigenvector

Direction preserved under transformation

Family

eigenvalues

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