6 orthonormal subspace question

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In summary, if \{sp(v)\}^{\perp} is T-invariant and v is a non-zero vector in V, then v is an eigenvector of T.
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nhrock3
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6)there is normal T in unitarian final space.
[tex]v\neq0,v\in V[/tex] prove that if [tex]\{sp(v)\}^{\perp}[/tex] is T variant then
v is eigenvector of T
?
hint:prove that [tex]T*(v)[/tex] is orthogonal to [tex]\{sp(v)\}^{\perp}[/tex]
what i have done:
suppose [tex]u\in\{sp(v)\}^{\perp}[/tex]
we take the definition of [tex]T*[/tex]
(Tu,v)=(u,T*v)
(Tu,v)=0 because [tex]\{sp(v)\}^{\perp}[/tex] is T variant so T*v is orthogonal
to u.
i know also
V=[tex]\{sp(v)\}^{\perp}\oplus\{sp(v)\}[/tex]
what to do next ,how to prove the actual question?
 
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Thanks for help.Answer:Since \{sp(v)\}^{\perp} is T-invariant, for any u in \{sp(v)\}^{\perp}, we have Tu = u. Therefore, (Tu,v) = (u,T*v) = 0. This implies that T*v is orthogonal to \{sp(v)\}^{\perp}. Since V = \{sp(v)\}^{\perp}\oplus\{sp(v)\}, it follows that T*v must belong to \{sp(v)\}. Therefore, T*v = \lambda v for some scalar \lambda. This proves that v is an eigenvector of T with eigenvalue \lambda.
 

FAQ: 6 orthonormal subspace question

1. What is an orthonormal subspace?

An orthonormal subspace is a subset of a vector space that is both orthogonal and normalized. This means that the vectors in the subspace are perpendicular to each other and have a magnitude of 1.

2. How is an orthonormal subspace different from a regular subspace?

An orthonormal subspace is a special type of subspace that has the additional properties of orthogonality and normalization. Regular subspaces do not necessarily have these properties.

3. What is the significance of orthonormal subspaces in linear algebra?

Orthonormal subspaces are important in linear algebra because they provide a basis for the vector space, making it easier to perform calculations and solve problems. They also have many useful applications in fields such as signal processing and quantum mechanics.

4. How do you determine if a subspace is orthonormal?

To determine if a subspace is orthonormal, you can check if its basis vectors are orthogonal (perpendicular to each other) and normalized (have a magnitude of 1). If both conditions are met, then the subspace is orthonormal.

5. Can an orthonormal subspace be spanned by more than one set of basis vectors?

Yes, an orthonormal subspace can be spanned by multiple sets of basis vectors as long as they are all orthogonal and normalized. This means that there can be different ways to represent the same subspace in terms of basis vectors.

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