Linear Algebra - Invariant Subspaces/Adjoint

In summary, we are trying to prove that U is invariant under T if and only if Uperp is invariant under T*. We use the fact that V is the direct sum of U and Uperp, and the inner product of Tv and w is equal to the inner product of v and T*w. By proving that T is invariant under Uperp if and only if U is invariant under T*, we can show that both statements are equivalent.
  • #1
steelphantom
159
0

Homework Statement


Suppose T is in L(V) and U is a subspace of V. Prove that U is invariant under T if and only if Uperp is invariant under T*.

Homework Equations


V = U [tex]\oplus[/tex] Uperp
if v [tex]\in[/tex] V, u [tex]\in[/tex] U, w [tex]\in[/tex] Uperp, then v = u + w.
<Tv, w> = <v, T*w>

The Attempt at a Solution


If U is invariant under T, this means that if u [tex]\in[/tex] U, Tu [tex]\in[/tex] U. Basically the same thing for Uperp. Not really sure where to go from here. Any ideas? Thanks!
 
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  • #2
Rember that <u, w> = 0 for any u in U, v in Uperp. If U is invariant under T, then Tu is in U so <Tu, w>= 0= <u, T*w>, for any u in U. What does that tell you about T*w?
 
  • #3
HallsofIvy said:
Rember that <u, w> = 0 for any u in U, v in Uperp. If U is invariant under T, then Tu is in U so <Tu, w>= 0= <u, T*w>, for any u in U. What does that tell you about T*w?

Does it say that T*w must be in Uperp, since <u, T*w> = 0 for any T*w?
 
  • #4
Just a bump to see if I am understanding this correctly:

If T is invariant under U, then <Tu, w> = 0 since Tu is in U, w is in Uperp. But <Tu, w> = <u, T*w> = 0, which means that T*w is in Uperp. This proves that T* is invariant under Uperp.

If T* is invariant under Uperp, then <u, T*w> = 0 since u is in U, T*w is in Uperp. But <u, T*w> = <Tu, w> = 0, which means that Tw is in U. This proves that T is invariant under U.

Is that correct, or am I missing something?
 
  • #5
steelphantom said:
Just a bump to see if I am understanding this correctly:

If T is invariant under U, then <Tu, w> = 0 since Tu is in U, w is in Uperp. But <Tu, w> = <u, T*w> = 0, which means that T*w is in Uperp. This proves that T* is invariant under Uperp.
Actually it proves that Uperp is invariant under T*!

If T* is invariant under Uperp, then <u, T*w> = 0 since u is in U, T*w is in Uperp. But <u, T*w> = <Tu, w> = 0, which means that Tw is in U. This proves that T is invariant under U.

Is that correct, or am I missing something?
No, your second part looks so much like the first part because T and T* are "dual".
 
  • #6
Err... that's what I meant. :redface: It was kind of late. Thanks for your help! :smile:
 

1. What is an invariant subspace in linear algebra?

An invariant subspace in linear algebra is a subspace of a vector space that is left unchanged by a linear transformation. This means that any vector in the subspace, when transformed by the linear transformation, remains in the subspace.

2. How do you determine if a subspace is invariant?

To determine if a subspace is invariant, you can use the definition of an invariant subspace. This means that you need to show that for every vector in the subspace, when transformed by the linear transformation, the resulting vector is still in the subspace. This can be done by showing that the linear transformation applied to the basis vectors of the subspace also results in vectors that are in the subspace.

3. What is the adjoint of a linear transformation?

The adjoint of a linear transformation is a related transformation that represents the "transpose" of the original transformation. It is defined as the unique linear transformation that satisfies the property that the inner product of two vectors is equal to the inner product of the transformed vectors.

4. How do you find the adjoint of a linear transformation?

To find the adjoint of a linear transformation, you can use the definition of the adjoint and solve for the unique transformation that satisfies the property of preserving the inner product. This can be done by setting up a system of equations and solving for the transformation matrix of the adjoint.

5. Why is the concept of invariant subspaces and adjoints important in linear algebra?

The concept of invariant subspaces and adjoints is important in linear algebra because it allows us to better understand and analyze linear transformations and their properties. Invariant subspaces help us identify special subspaces within a larger vector space that are preserved by a linear transformation, while the adjoint provides us with a way to find the "transpose" of a linear transformation. These concepts are also useful in applications such as quantum mechanics and signal processing.

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