##  [Eigenvector](/eigenvector-1) 

 Definition

A mathematical structure used to represent quantum states and the operations performed on them. It specifies how states are expressed, related, combined, and decomposed into components that support calculation. It does not by itself determine physical predictions without a mapping to observables and measurement rules. It enables precise computation of probabilities and expectation values from state and operator inputs. The concept is generally stable, though notation choices and computational methods evolve over time.



 

 

 

 

 

 





## Principle

Principle

Eigenvectors identify invariant directions of an operator: the operator acts by scaling rather than mixing those vectors, providing a natural basis for describing measurement outcomes and dynamical invariants.

 

 

 

 

 





## Demonstration

Demonstration

For the spin-1/2 Pauli matrix σ_z, the vectors |↑⟩ = (1,0)^T and |↓⟩ = (0,1)^T are eigenvectors with eigenvalues +1 and -1 respectively; preparing the system in |↑⟩ yields definite σ_z = +1 upon measurement.

 

 

 

 

## Misapplication

Misapplication

Assuming that eigenvectors of a non-normal operator are orthogonal or form a complete basis can lead to incorrect decompositions; some operators have non-orthogonal or incomplete eigenvector sets and require generalized eigenfunctions.

 

 

 

 

 





## Consequence

Consequence

Correctly used, eigenvectors span invariant subspaces that simplify propagation, diagonalization, and measurement theory; they determine the post-measurement state in projective measurements.

 

 

 

 

## Reversal

Reversal

Reversing perspective treats vectors labeled by physical states as primary and infers eigen-structure afterwards; this can obscure which observables have simple action on those states.

 

 

 

 

 





## Boundary

Boundary

Defined for linear operators; for unbounded operators domains matter and in infinite-dimensional spaces eigenvectors may not exist or may not form a basis—one must allow continuous spectrum and generalized eigenvectors.

 

 

 

 

 





## Semantic Tension

Semantic Tension

Competes with the informal idea of a 'state vector'—an eigenvector is a state with a definite value of one observable, but a general state vector need not be an eigenvector of that observable.

 

 

 

 

 





## Synthesis

Synthesis

An eigenvector is a nonzero direction left invariant up to scaling by an operator; in quantum mechanics such vectors correspond to states yielding definite measurement results and serve as building blocks for spectral analysis.