Eigenvalues and Eigenvectors (AQA A-Level Further Maths): Flashcards

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Eigenvalues and Eigenvectors
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Fundamental eigenvector equation

Ax=λx\mathbf{Ax} = \lambda\mathbf{x}

Eigenvector definition

Non-zero vector maintaining direction under transformation

Eigenvalue meaning

Scaling factor (λ\lambda) for eigenvector

Characteristic equation formula

det⁡(A−λI)=0\det(\mathbf{A} - \lambda\mathbf{I}) = 0

Cayley-Hamilton theorem statement

Every matrix satisfies its own characteristic equation

Diagonalisation formula for matrix M\mathbf{M}

M=PDP−1\mathbf{M} = \mathbf{PDP}^{-1}

Formula for An\mathbf{A}^n using diagonalisation

An=PDnP−1\mathbf{A}^n = \mathbf{PD}^n\mathbf{P}^{-1}

How to calculate Dn\mathbf{D}^n for diagonal matrix

Raise each diagonal element to power nn

Eigenvalue giving line of invariant points

λ=1\lambda = 1

Condition for invariant plane

Repeated eigenvalue

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