Question about an eigenvalue problem: range space

Click For Summary
SUMMARY

The discussion centers on the concept of the range space of a linear operator T in the context of Axler's "Linear Algebra Done Right." It establishes that for a linear operator T on a complex finite-dimensional vector space V, there exists a basis B such that the matrix representation of T is upper triangular. The range U of the operator (T - λI) is defined, and its properties are explored, particularly regarding its dimensionality and invariance under T. The participants clarify that U is a subspace of W, containing vectors that can be expressed as (T - λ)x for some x in V, and emphasize that U's dimensionality does not conflict with the nature of its elements.

PREREQUISITES
  • Understanding of linear operators and vector spaces
  • Familiarity with eigenvalues and eigenvectors
  • Knowledge of the concepts of range and null space in linear algebra
  • Proficiency in matrix representation of linear transformations
NEXT STEPS
  • Study the properties of invariant subspaces in linear algebra
  • Learn about the implications of the Jordan form for linear operators
  • Explore the relationship between eigenvalues and the characteristic polynomial
  • Investigate the proof techniques used in Axler's "Linear Algebra Done Right"
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, as well as educators seeking to deepen their understanding of eigenvalue problems and linear operator theory.

bluesky314
Messages
1
Reaction score
0
A theorem from Axler's Linear Algebra Done Right says that if 𝑇 is a linear operator on a complex finite dimensional vector space 𝑉, then there exists a basis 𝐵 for 𝑉 such that the matrix of 𝑇 with respect to the basis 𝐵 is upper triangular.
In the proof, he defines U=range(T-𝜆I) (as we have proved atleast one eigenvalue must exist)and says that this is invariant under T.
First I want understand what the range space is here. Suppose we are in 2D and I choose some basis consisting on an eigenvector(ev) and another free vector(v): ( ev, v) Now this v can be anything not necessarily an eigenvector. So there are many possibilities. Are all contained in U? U can have dimension 1 but all these possibilities are not linearly independent so what exactly is U? Is it a set of all vectors not in the span of ev? Does this not conflict with U having dimension 1?
He then proves this by saying if u belongs to U then Tu=(T-𝜆I)u + Tu and both (T-𝜆I)u and Tu belong to U. But if I had chosen a non-eigenvalue for my basis, then Tu does not scale it so it is mapped to some other span. Therefore I'm guessing U is a set.
Any other comments about (T-𝜆I)v would be appreciated. How to think of it in the context of our original T? (I know the null space is the eigenvector)
 
Physics news on Phys.org
bluesky314 said:
But if I had chosen a non-eigenvalue for my basis, then Tu does not scale it so it is mapped to some other span.

The range of a linear operator ##L## from a vector space ##V## to a vector space ##W## is the set ##\{u\in W:## such that ##Lx =u## has a solution ##x\in V\}##. The range is also a subspace of ##W##.

Simplifying the right hand side of the equation ##Tu = (T - \lambda)u + \lambda u## shows it is equivalent to the identity ##Tu = Tu##.

The proof does not assume that ##u## is an eigenvector of ##T## or of ##(T - \lambda)##, so your objection is unclear. The assumption ##u \in U## is equivalent to assuming the existence of ##x## such that ##(T-\lambda)x = u##. I don't know whether you could that expression to formulate a different proof that ##U## is invariant under ##T##.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K