Difference between revisions of "031 Review Part 3, Problem 6"
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{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
!Step 1: | !Step 1: | ||
| + | |- | ||
| + | |Since <math>\vec{x}</math> is an eigenvector of <math>A</math> corresponding to the eigenvalue <math>2,</math> we know <math>\vec{x}\neq \vec{0}</math> and | ||
|- | |- | ||
| | | | ||
| + | ::<math>A\vec{x}=2\vec{x}.</math> | ||
|} | |} | ||
| Line 27: | Line 30: | ||
!Step 2: | !Step 2: | ||
|- | |- | ||
| − | | | + | |Now, we have |
| + | |- | ||
| + | | <math>\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}</math> | ||
| + | |- | ||
| + | |Hence, since <math>\vec{x}\ne \vec{0},</math> we conclude that <math>\vec{x}</math> is an eigenvector of <math>A^3-A^2+I</math> corresponding to the eigenvalue <math>5.</math> | ||
| + | |||
|} | |} | ||
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{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
!Step 1: | !Step 1: | ||
| + | |- | ||
| + | |Since <math>\vec{y}</math> is an eigenvector of <math>A</math> corresponding to the eigenvalue <math>3,</math> we know <math>\vec{y}\neq \vec{0}</math> and | ||
|- | |- | ||
| | | | ||
| + | ::<math>A\vec{y}=3\vec{y}.</math> | ||
| + | |- | ||
| + | |Also, since <math>A</math> is invertible, <math>A^{-1}</math> exists. | ||
|} | |} | ||
{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
!Step 2: | !Step 2: | ||
| + | |- | ||
| + | |Now, we multiply the equation from Step 1 on the left by <math>A^{-1}</math> to obtain | ||
| + | |- | ||
| + | | | ||
| + | <math>\begin{array}{rcl} | ||
| + | \displaystyle{A^{-1}(A\vec{y})} & = & \displaystyle{A^{-1}(3\vec{y}}\\ | ||
| + | &&\\ | ||
| + | & = & \displaystyle{3(A^{-1}\vec{y}).} | ||
| + | \end{array}</math> | ||
| + | |- | ||
| + | |Now, we have | ||
|- | |- | ||
| | | | ||
| + | <math>\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}</math> | ||
| + | |- | ||
| + | |Hence, <math>A^{-1}\vec{y}=\frac{1}{3}\vec{y}.</math> | ||
| + | |- | ||
| + | |Therefore, <math>\vec{y}</math> is an eigenvector of <math>A^{-1}</math> corresponding to the eigenvalue <math>\frac{1}{3}.</math> | ||
|} | |} | ||
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!Final Answer: | !Final Answer: | ||
|- | |- | ||
| − | | '''(a)''' | + | | '''(a)''' See solution above. |
|- | |- | ||
| − | | '''(b)''' | + | | '''(b)''' See solution above. |
|} | |} | ||
[[031_Review_Part_3|'''<u>Return to Sample Exam</u>''']] | [[031_Review_Part_3|'''<u>Return to Sample Exam</u>''']] | ||
Revision as of 08:27, 11 October 2017
(a) Show that if 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}} 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 What is the corresponding eigenvalue?
| Foundations: |
|---|
| An eigenvector 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 we know and |
|
|
| Step 2: |
|---|
| Now, we have |
| Hence, since we conclude that is an eigenvector of corresponding to the eigenvalue |
(b)
| Step 1: |
|---|
| Since is an eigenvector of corresponding to the eigenvalue we know and |
|
| Also, since 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} is invertible, 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}} exists. |
| Step 2: |
|---|
| Now, we multiply the equation from Step 1 on the left by 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}} to obtain |
|
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 \begin{array}{rcl} \displaystyle{A^{-1}(A\vec{y})} & = & \displaystyle{A^{-1}(3\vec{y}}\\ &&\\ & = & \displaystyle{3(A^{-1}\vec{y}).} \end{array}} |
| Now, we have |
|
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 \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 (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}\vec{y}=\frac{1}{3}\vec{y}.} |
| Therefore, 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{y}} 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}} corresponding to the eigenvalue 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 \frac{1}{3}.} |
| Final Answer: |
|---|
| (a) See solution above. |
| (b) See solution above. |