Understanding Eigenspaces: Solving Exam Questions

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The discussion clarifies the concept of eigenspaces in relation to eigenvalues and eigenvectors. It emphasizes that the order of eigenvalues does not affect the eigenspace they span. The notation used by the original poster was deemed confusing, as it mixed terms and concepts. It is confirmed that the eigenspaces associated with vectors <1, -1> and <-1, 1> are indeed the same, as they lie along the same line in R2. Clear notation is essential for understanding these mathematical concepts.
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I know this might be trivial, but when practicing for exam, I usually write the "inverse" values of the cheat sheet, and want to make sure I'm not making a mistake.

Is the eigenspace 1,-1 the same as -1,1?
 
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I think your difficulty is your "notation" which is so terse as to be confusing. 'The eigenspace 1, -1' makes no sense to me. If you mean "the subspace spanned by eigenvectors of linear operator A corresponding to eigenvalues 1 and -1" then it should be clear that the order in which you mention the eigenvalues is irrelevant.

(I started to write "the subspace of all eigenvectors of linear operator A corresponding to eigenvalues 1 and -1" but you understand that that set is NOT a subspace, right?)
 
To put it a bit differently, an eigenspace is a (vector ) subspace , and {1,-1} is not, at least not in any way I' familiar with. Did you mean the eigenspaces associated to each of these eigenvectors?
 
If your notation 1, -1 is intended to mean the vector <1, -1> in R2, then yes, the space spanned by the eigenvector <1, -1> is the same as that spanned by the vector <-1, 1>. Both vectors lie along the line y = -x but point in opposite directions.
 
Mark44 said:
If your notation 1, -1 is intended to mean the vector <1, -1> in R2, then yes, the space spanned by the eigenvector <1, -1> is the same as that spanned by the vector <-1, 1>. Both vectors lie along the line y = -x but point in opposite directions.

Perfect, thanks. Sorry about the confusing notation.
 
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