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A set of class notes from a university mathematics course (mth 261) on determinants, eigenvalues, and eigenvectors. The notes cover topics such as the definition of eigenvalues and eigenvectors, the relationship between invertibility and eigenvalues, and the concept of an eigenbasis. The notes also include examples of finding eigenvalues and eigenvectors for various matrices, as well as instructions for diagonalizing matrices. The document also mentions the relationship between symmetric matrices and diagonalization.
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Example
Show that the matrix
is deficient. You may use your calculator to find the
eigenvalues.
Terminology and theorems regarding eigenvalues and eigenvectors
Let A be an n × n matrix.
characteristic equation of A.
Example
Consider
. Find, by hand , the eigenvalues and an eigenbasis for B. Then find
P −^1 B P where the columns of^ P correspond to the vectors in the eigenbasis for^ B and make a
remarkable observation about P −^1 B P.
Example
Diagonalize
and use the result to determine A^3.
Diagonalization of an n × n matrix A****.
If A is not deficient then the product P −^1 A P where P is an eigenbasis for A is a diagonal matrix whose main diagonal entries are the eigenvalues of A. Furthermore, the main diagonal entry in the i th^ column of (^) D is the eigenvalue that corresponds to the eigenvector in the i th^ column of P. The product P D P −^1 is called a diagonalization of A.
Example
Diagonalize
and use the result to determine a formula for positive integer
powers of B.