Linear Algebra: UNIT II: Linear Transformations and Diagonalization

Eigenvalues and Eigenvectors: Theorem 2

Important Theorems for Engineering Maths or Mathematics - Eigenvalues and Eigenvectors: Theorem 2

EIGENVALUES AND EIGENVECTORS – THEOREM 2


Theorem 2

Let A Mm×n (F) then a scalar λ is an eigenvalue of A if and only if det (A−λIn)=0. (ie) | A − λIn | = 0.

Proof:

A scalar λ is an eigenvalue of A if and only if there exist a non−zero vector v Fn such that Av = λv.

  (ie.,) Av−λ v = 0

  (A − λIn)v = 0

  v N(A − λIn)

  A−λIn is not invertible

  Then det (A − λIn) = 0

{ (T(v) = 0; v N(T) }

Since v ≠ 0; N (T) ≠ { 0 }

 T is not 1−1

T. is not invertible.


Linear Algebra: UNIT II: Linear Transformations and Diagonalization : Tag: maths, mathematics : - Eigenvalues and Eigenvectors: Theorem 2


Linear Algebra: UNIT II: Linear Transformations and Diagonalization



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