031 Review Part 3, Problem 6

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(a) Show that if    is an eigenvector of the matrix    corresponding to the eigenvalue 2, then    is an eigenvector of    What is the corresponding eigenvalue?

(b) Show that if    is an eigenvector of the matrix    corresponding to the eigenvalue 3 and    is invertible, then    is an eigenvector of  Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle A^{-1}.}   What is the corresponding eigenvalue?


Foundations:  
An eigenvector  Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \vec{x}}   of a matrix    corresponding to the eigenvalue    is a nonzero vector such that


Solution:

(a)

Step 1:  
Since    is an eigenvector of    corresponding to the eigenvalue  Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle 2,}   we know    and
Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle A{\vec {x}}=2{\vec {x}}.}
Step 2:  
Now, we have
       Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\begin{array}{rcl}\displaystyle {(A^{3}-A^{2}+I){\vec {x}}}&=&\displaystyle {A^{3}{\vec {x}}-A^{2}{\vec {x}}+I{\vec {x}}}\\&&\\&=&\displaystyle {A\cdot A\cdot A{\vec {x}}-A\cdot A{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {A\cdot A\cdot 2{\vec {x}}-A\cdot 2{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {2A\cdot A{\vec {x}}-2A{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {2A\cdot 2{\vec {x}}-2\cdot 2{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {(2\cdot 2)A{\vec {x}}-4{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {(4)\cdot 2{\vec {x}}-4{\vec {x}}+{\vec {x}}}\\&&\\&=&\displaystyle {5{\vec {x}}}.\end{array}}}
Hence, since  Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\vec {x}}\neq {\vec {0}},}   we conclude that    is an eigenvector of  Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle A^{3}-A^{2}+I}   corresponding to the eigenvalue  

(b)

Step 1:  
Since    is an eigenvector of    corresponding to the eigenvalue    we know    and
Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle A{\vec {y}}=3{\vec {y}}.}
Also, since    is invertible,    exists.
Step 2:  
Now, we multiply the equation from Step 1 on the left by   to obtain

       

Now, we have

       Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\begin{array}{rcl}\displaystyle {3(A^{-1}{\vec {y}})}&=&\displaystyle {A^{-1}(A{\vec {y}})}\\&&\\&=&\displaystyle {(A^{-1}A){\vec {y}}}\\&&\\&=&\displaystyle {I{\vec {y}}}\\&&\\&=&\displaystyle {{\vec {y}}.}\end{array}}}

Hence,  Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle A^{-1}{\vec {y}}={\frac {1}{3}}{\vec {y}}.}
Therefore,    is an eigenvector of   corresponding to the eigenvalue  Failed to parse (Conversion error. Server ("https://wikimedia.org/api/rest_") reported: "Cannot get mml. Server problem."): {\displaystyle {\frac {1}{3}}.}


Final Answer:  
   (a)     See solution above.
   (b)     See solution above.

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