Difference between revisions of "031 Review Part 1, Problem 2"
Jump to navigation
Jump to search
Kayla Murray (talk | contribs) |
Kayla Murray (talk | contribs) |
||
(One intermediate revision by the same user not shown) | |||
Line 21: | Line 21: | ||
|which is diagonalizable. | |which is diagonalizable. | ||
|- | |- | ||
− | |Since <math style="vertical-align: 0px">A</math> is a | + | |Since <math style="vertical-align: 0px">A</math> is a triangular matrix, the eigenvalues of <math style="vertical-align: 0px">A</math> are the entries on the diagonal. |
|- | |- | ||
|Therefore, the only eigenvalue of <math style="vertical-align: 0px">A</math> is <math style="vertical-align: -1px">0.</math> Additionally, there is only one linearly independent eigenvector. | |Therefore, the only eigenvalue of <math style="vertical-align: 0px">A</math> is <math style="vertical-align: -1px">0.</math> Additionally, there is only one linearly independent eigenvector. | ||
Line 27: | Line 27: | ||
|Hence, <math style="vertical-align: 0px">A</math> is not diagonalizable and the statement is false. | |Hence, <math style="vertical-align: 0px">A</math> is not diagonalizable and the statement is false. | ||
|} | |} | ||
+ | |||
{| class="mw-collapsible mw-collapsed" style = "text-align:left;" | {| class="mw-collapsible mw-collapsed" style = "text-align:left;" | ||
Line 33: | Line 34: | ||
| FALSE | | FALSE | ||
|} | |} | ||
− | [[031_Review_Part_1|'''<u>Return to | + | [[031_Review_Part_1|'''<u>Return to Review Problems</u>''']] |
Latest revision as of 12:17, 15 October 2017
True or false: If a matrix is diagonalizable, then the matrix must be diagonalizable as well.
Solution: |
---|
Let |
First, notice that |
|
which is diagonalizable. |
Since is a triangular matrix, the eigenvalues of are the entries on the diagonal. |
Therefore, the only eigenvalue of is Additionally, there is only one linearly independent eigenvector. |
Hence, is not diagonalizable and the statement is false. |
Final Answer: |
---|
FALSE |