Operator in a real vector space has an upper block triangular matrix

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SUMMARY

An operator T in a real vector space V can be represented by an upper block triangular matrix, where each block is either 1x1 or 2x2. The proof relies on identifying invariant subspaces, specifically a one-dimensional or two-dimensional invariant subspace. The discussion emphasizes the necessity of demonstrating the existence of another subspace W, on which T acts invariantly, to establish the desired matrix form. Techniques such as Jordan-Chevalley or Cholesky decompositions are suggested for further exploration.

PREREQUISITES
  • Understanding of invariant subspaces in linear algebra
  • Familiarity with operators in real vector spaces
  • Knowledge of matrix representations of linear transformations
  • Basic concepts of Jordan-Chevalley and Cholesky decompositions
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  • Study the properties of invariant subspaces in linear transformations
  • Learn about Jordan-Chevalley decomposition techniques
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  • Investigate the conditions under which an operator can be represented in block triangular form
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Mathematicians, linear algebra students, and researchers interested in operator theory and matrix representations in real vector spaces.

vish_maths
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Hello All,

I was trying to prove that an operator T in a real vector space V has an upper block triangular matrix with each block being 1 X 1 or 2 X 2 and without using induction.

The procedure which i followed was :

We already know that an operator in a real vector space has either a one dimensional invariant subspace or a 2 dimensional invariant subspace.

Whatever be the case now, let's begin with the vector(s) which span these subspaces.

Let U denote this subspace ----- (1)

Now, if i am able to prove that there exists an another subspace W such that T is an invariant operator on the direct sum of U and W , then we can prove that operator T in a real vector space V has an upper block triangular matrix .

I need a direction on proving the latter part.

I sincerely thank you for the help.
 
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How should this ever be answered without knowing the definition of ##T?## If you want to know whether such a ##T## exists, simply write it down. Otherwise look for possible decompositions like Jordan-Chevalley or Cholesky.
 

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