How Do You Find Invariant Subspaces in a Complex Vector Space?

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Homework Help Overview

The discussion revolves around finding invariant subspaces in a finite dimensional complex vector space V under a linear map T. The original poster attempts to demonstrate that V contains invariant subspaces of various dimensions, specifically starting with dimension 1 and extending to higher dimensions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the implications of the Schur decomposition and its relation to invariant subspaces. The original poster questions the existence of an invariant subspace within a specific span and seeks clarification on the validity of their approach.

Discussion Status

Some participants have provided guidance regarding the Schur theorem and its implications for the problem. The conversation reflects a mix of attempts to clarify concepts and explore different interpretations of the problem without reaching a consensus.

Contextual Notes

The original poster expresses uncertainty about the existence of invariant subspaces in certain spans, indicating potential gaps in their understanding. There is also a reference to the complexity of the problem due to the dimensionality of the vector space.

samkolb
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Homework Statement



Let V be a finite dimensional, nonzero complex vector space. Let T be be a linear map on V. Show that V contains invariant subspaces of dimension j for j=1, ..., dim V.

Homework Equations


Since V is complex, V contains an invariant subspace of dimension 1.


The Attempt at a Solution


I started with dim V=3. Then V contains an invariant subspace of dimension 1.
Let U1=span{u1} denote this space, and extend this to a basis for V: V=span{u1,v2,v3}.

What I would like to do is show that span{v2,v3} contains an invariant subspace of dimension 1, span{u2}. Then form the invariant subspace U2=span{u1,u2}.

But I don't know how to show that span{v2,v3} contains an invariant subspace of dimension 1. I'm not sure that it's even true.
 
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Did you prove the Schur decomposition? That any complex matrix is similar to an upper triangular matrix?
 
I have this theorem:

If V is a complex vector space and T is a linear map on V, then T has an upper trianguler matrix with respect to some basis of V.

I think that this is equivalent to the Schur Theorem. I think I know how to proceed from here.

Choose a basis of V for which the matrix of T is upper triangular. Then the definition of the matrix of a linear map shows that V contains an invariant subspace of dimension j for j=1,...,dim V.

Is this right?

Thanks
 
Sure. The matrix form does make it pretty easy to see the invariant subspaces.
 

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