Invariant subspace and linear transformation

In summary, we are given that U is a subspace of V and that U is an invariant subspace for every linear transformation from V to V. We need to show that U is equal to V. To do this, we assume U is not trivial and show that U is equal to V by choosing a nonzero vector u in U and extending it to a basis for V. We then show that a linear map k exists such that k(u) = u1, k(u1) = u2, k(u2) = u3, and so on. As U is invariant, u1, u2, u3, and so on are also in U. Since u1, u2, u3, and so
  • #1
td21
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Homework Statement


Let U be a subspace of V. Suppose that U is a invariant subspace of V for every linear
transformation from V to V. Show that U=V.


Homework Equations



no

The Attempt at a Solution


Assume U is not trivial: Now we only need to show that U = V. Let dimV = n: We can choose
a nonzero vector u in U and then extend u to a basis u1,u2,u3,...u{n-1} for V.
There is a linear map k such that
k(u) = u1;
k(u1) = u2;
k(u2) = u3;
...
k(u{n-1})=u
As U is invariant, u1 also in U,then as k(u1)=u2,u2 also in U,.....then u{n-1} also in U.

On the other hand, as u1,u2,u3,...u{n-1} is a basis for V, we have
span(u1,u2,u3,...u{n-1}) = V:
So it follows that U = V.

The difficulty is proving k is a linear transformation, and if it is, is the argument above correct? Thanks!
 
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  • #2
Sounds reasonable to me, Apply k to two arbitrary vectors in V and linearity should follow
 

FAQ: Invariant subspace and linear transformation

1. What is an invariant subspace?

An invariant subspace is a subset of a vector space that remains unchanged when acted upon by a linear transformation. In other words, the vectors in an invariant subspace are mapped to themselves by the linear transformation.

2. How is an invariant subspace related to a linear transformation?

An invariant subspace is closely related to a linear transformation because it is defined by how the linear transformation acts on it. The existence of an invariant subspace can also provide important information about the properties and behavior of a linear transformation.

3. Can an invariant subspace be empty?

Yes, an invariant subspace can be empty if the linear transformation does not have any vectors that remain unchanged when acted upon. This can happen when the linear transformation has a zero eigenvalue or when the vector space is too small to contain an invariant subspace.

4. How are invariant subspaces useful in mathematics and science?

Invariant subspaces are useful in many areas of mathematics and science, particularly in the study of linear transformations and their properties. They can also be used to simplify calculations and to better understand the behavior of complex systems.

5. Can an invariant subspace change under different linear transformations?

Yes, an invariant subspace can change under different linear transformations. A subspace may be invariant under one linear transformation but not under another. However, if a subspace is invariant under a set of linear transformations, it is called an invariant subspace for that set.

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