Linear Algebra - Transformations

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SUMMARY

The discussion focuses on the linear transformation T defined as T(X) = X - trans(X), where trans denotes the transpose of matrix X. The kernel of T consists of all 2x2 symmetric matrices, establishing its dimension as 3, while the image of T has a dimension of 1, with the basis represented by the matrix [0 1; -1 0]. Furthermore, T can be diagonalized due to the presence of four linearly independent eigenvectors, confirming that 0 and 2 are eigenvalues of the transformation.

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  • Understanding of linear transformations in vector spaces
  • Familiarity with concepts of kernel and image of a transformation
  • Knowledge of eigenvalues and eigenvectors
  • Proficiency in matrix operations, specifically transposition
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daniel_i_l
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Homework Statement


T is a transformation from the vector space of real 2x2 matrices back to that space. T(X) = X - trans(X) (trans = transposed)
a)Find a base for KerT and ImT
b)Prove that T can be diagonalized.



Homework Equations





The Attempt at a Solution


a) If X is in KerT then X = trans(X) and so KerT is the space of all 2x2 symmetric matrices and its dimension is 3. It's base is any base of that space.
Since dimKerT = 3 , dimImT = 1 and since
[0 1]
[-1 0]
is in the image, it is a base of it.

b) obviously 0 is an eigenvalue with three linearly independent eigenvectors. It's easy to see that 2 is an eigenvalue for all the vectors in the image and so we have four linearly independent eigenvectors which means that T can be diagonalized.

Is that right? (b) seems a little shaky to me, is there any way i can say it better?
Thanks.
 
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You can say (a) better by not referring to 'it's base', which is grammatically incorrect (you got the correct possesive earlier), and misleading since it implies it has a unique base.

(b) is fine, though you might want to mention that since 2 is a e-value, it has an e-vector, thus there is a basis of e-vectors hence the map is diagonalizable. You should also say why it is easy to see that 2 is an e-value, really, though it is clearly given by the space of antisymmetric spaces.
 

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