I have a question regarding Linear Algebra chapter 5.3: If I am trying to determine if a matrix A= [ 0 1 1                                                                     2 1 2                                                                     3 3 2 ] is diagonizable, and the solution I got for the third row was 1 = 0, does this mean that the matrix is not diagonizable since the eigenvalue = 0 proves that the matrix is inconsistent? Or am I able to still get the basis vector for the eigenspace?

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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I have a question regarding Linear Algebra chapter 5.3:

If I am trying to determine if a matrix A= [ 0 1 1

                                                                    2 1 2

                                                                    3 3 2 ]

is diagonizable, and the solution I got for the third row was 1 = 0, does this mean that the matrix is not diagonizable since the eigenvalue = 0 proves that the matrix is inconsistent? Or am I able to still get the basis vector for the eigenspace?

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