Proving the Direct Sum Decomposition of V using Linear Maps

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SUMMARY

The discussion focuses on proving the direct sum decomposition of a vector space V using a linear map T from V to F, where F is either R or C. It establishes that if u is an element of V not in the null space of T, then V can be expressed as the direct sum of null(T) and the subspace generated by u, denoted as {au : a is in F}. The participants emphasize the importance of demonstrating that each element of V can be uniquely represented as a sum of u and an element from null(T), confirming the uniqueness required for a direct sum decomposition.

PREREQUISITES
  • Understanding of linear maps and their properties
  • Knowledge of subspaces and direct sums in vector spaces
  • Familiarity with the concept of null space and its significance
  • Basic grasp of finite-dimensional vector spaces and their dimensions
NEXT STEPS
  • Study the properties of linear maps and their null spaces
  • Learn about the criteria for direct sum decompositions in vector spaces
  • Explore the relationship between dimensions of null spaces and ranges of linear transformations
  • Investigate examples of direct sum decompositions in finite-dimensional vector spaces
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Students and educators in linear algebra, mathematicians focusing on vector space theory, and anyone interested in understanding the structure of linear maps and their implications in vector spaces.

*melinda*
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Homework Statement


Suppose that T is a linear map from V to F, where F is either R or C. Prove that if u is an element of V and u is not an element of null(T), then

V = null(T) (direct sum) {au : a is in F}.

2. Relevant information
null(T) is a subspace of V
For all u in V, u is not in null(T)
For all n in V, n is in null(T)
T(n) = 0, T(u) not= 0

The Attempt at a Solution


I think I should let U = {au : a is in F} and show that it's a subspace of V. Then I can show that each element of V can be written uniquely as a sum of u + n. Should I do this by showing that (u, n) is a basis for V?
 
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What's the dimension of null(T) in terms of the dimension of V?
 
if V were finite dimensional then I could say, dim{null(T)} = dim(V) - dim{range(T)}.

But nothing given in the problem statement will let me assume V is finite.
 
Ok, I think I was thinking about this wrong. Suppose x=a*u+n and x=a'*u+n' where n and n' are in the null space. Then T(x)=a*T(u)=a'*T(u). Since T(u) is nonzero, a=a'. Right? So x=a*u+n and x=a*u+n'. Can n and n' be different?
 
n and n' could definitely be different, but I don't think it matters much since they both get mapped to zero.

Is the result of a = a' is enough to prove uniqueness for a direct sum?
 
It does matter in V. But if x=a*u+n and x=a*u+n' (after you've shown a=a') then n=x-a*u and n'=x-a*u. Conclusion?
 
Gosh, I must be getting sleepy to overlook the importance of n being unique.

So, I can show that each element of V can be written uniquely as a sum of u + n.

Should I also prove U = {au : a is in F} is a subspace of V
 
*melinda* said:
Gosh, I must be getting sleepy to overlook the importance of n being unique.

So, I can show that each element of V can be written uniquely as a sum of u + n.

Should I also prove U = {au : a is in F} is a subspace of V

Even being sleepy, I think you could, right? I think it could actually be considered as 'obvious' and not deserving of proof.
 
:zzz:

I should be able to stay awake long enough to write down my solution.

Thanks for the help!
 
  • #10
Very, very welcome.
 

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