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IEigenvalueDecomposition Interface

Determines the eigenvalues and eigenvectors of a real square matrix.

Namespace: Altaxo.Calc.LinearAlgebra
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
public interface IEigenvalueDecomposition

The IEigenvalueDecomposition type exposes the following members.

Properties
 NameDescription
Public propertyDiagonalMatrixReturns the block diagonal eigenvalue matrix.
Public propertyEigenvectorMatrixReturns the eigenvector matrix.
Public propertyImaginaryEigenvaluesReturns the imaginary parts of the eigenvalues.
Public propertyRealEigenvaluesReturns the real parts of the eigenvalues.
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Remarks
If A is symmetric, then A = V * D * V' and A = V * V' where the eigenvalue matrix D is diagonal and the eigenvector matrix V is orthogonal. If A is not symmetric, the eigenvalue matrix D is block diagonal with the real eigenvalues in 1-by-1 blocks and any complex eigenvalues, lambda+i*mu, in 2-by-2 blocks, [lambda, mu; -mu, lambda]. The columns of V represent the eigenvectors in the sense that A * V = V * D. The matrix V may be badly conditioned, or even singular, so the validity of the equation A=V*D*inverse(V) depends upon the condition of V.
See Also