Hung-yi Lee. Chapter 5. In chapter 4, we already know how to consider a function from different aspects (coordinate system). Learn how to find a “good” coordinate system for a function. Scope. : Chapter 5.1 – 5.4.
1 Introduction to Eigenvalues Linear equations come from steady state problems Eigenvalues have their greatest importance in dynamic problems The solution of dt is changing with time growing or decaying or oscillating We cant 64257nd it by eliminat
1 Eigenvalues and the Characteristic Equation Given a matrix if 611 where is a scalar and is a nonzero vector is called an eigenvalue of and an eigenvector It is important here that an eigenvector should be a nonzero vector For the zero vector
Let be some operator and a vector If does not change the direction of the vector is an eigenvector of the operator satisfying the equation 1 where is a real or complex number the eigenvalue corresponding to the eigenvector Thus the operator will o
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Presentation on theme: "Eigenvalues"— Presentation transcript: