Papers › Eigenvectors from eigenvalues: A survey of a basic identity in linear algebra

Eigenvectors from eigenvalues: A survey of a basic identity in linear algebra

10 Aug 2019arXiv:1908.03795links table onlyarchive 2025-07-28

Peter B. Denton, Stephen J. Parke, Terence Tao, Xining Zhang

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If A is an n ×n Hermitian matrix with eigenvalues λ₁(A),…,λₙ(A) and i,j = 1,…,n, then the jᵗʰ component v_(i,j) of a unit eigenvector vᵢ associated to the eigenvalue λᵢ(A) is related to the eigenvalues λ₁(Mⱼ),…,λₙ₋₁(Mⱼ) of the minor Mⱼ of A formed by removing the jᵗʰ row and column by the formula |v_(i,j)|²∏_(k=1;k≠i)ⁿ(λᵢ(A)-λₖ(A))=∏ₖ₌₁ⁿ⁻¹(λᵢ(A)-λₖ(Mⱼ)) . We refer to this identity as the \emph{eigenvector-eigenvalue identity} and show how this identity can also be used to extract the relative phases between the components of any given eigenvector. Despite the simple nature of this identity and the extremely mature state of development of linear algebra, this identity was not widely known until very recently. In this survey we describe the many times that this identity, or variants thereof, have been discovered and rediscovered in the literature (with the earliest precursor we know of appearing in 1834). We also provide a number of proofs and generalizations of the identity.

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