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

In summary, the conversation discusses the procedure for proving that an operator T in a real vector space V has an upper block triangular matrix without using induction. The key steps involve identifying invariant subspaces and proving the existence of another subspace W that makes T an invariant operator on the direct sum of U and W. The speaker also asks for guidance on how to approach the problem without knowing the definition of T. Possible decompositions like Jordan-Chevalley or Cholesky are suggested as options.
  • #1
vish_maths
61
1
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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  • #2
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.
 

1. What is an operator in a real vector space?

An operator in a real vector space is a function that maps a vector from the same space to another vector in the same space. It can be represented as a matrix and is used to perform operations on vectors, such as rotation, scaling, and projection.

2. What does it mean for an operator to have an upper block triangular matrix?

An upper block triangular matrix is a special type of matrix where all the elements below the main diagonal are zero. This means that the matrix is divided into blocks and each block only affects the elements in the same block or above it. In the context of an operator, this means that the operator's actions on a vector are limited to certain dimensions or subspaces.

3. How do you determine if an operator has an upper block triangular matrix?

To determine if an operator has an upper block triangular matrix, you can perform a similarity transformation on the matrix. If the transformed matrix has all zero elements below the main diagonal, then the original operator has an upper block triangular matrix.

4. What are the advantages of an operator having an upper block triangular matrix?

Having an upper block triangular matrix allows for easier computation and visualization of the operator's actions. It also makes it easier to determine the eigenvalues and eigenvectors of the operator, which are important in many applications.

5. Are all operators in a real vector space guaranteed to have an upper block triangular matrix?

No, not all operators in a real vector space have an upper block triangular matrix. Some operators may have a more complex structure and cannot be represented in this form. However, for certain types of operators, such as those that are linear and have a finite dimension, it is possible to find a similarity transformation that will result in an upper block triangular matrix.

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