Showing direct sum of subspaces equals vector space

In summary, the conversation discusses whether showing that ##U\cap V = \{\textbf{0}\}## is sufficient to imply ##\mathbf{R}^3 = U \bigoplus V##, and how to prove this. The participants suggest solving the equation ##\mathbb{R}^3 \ni (x_1,x_2,x_3)= \mathbf{u} + \mathbf{v}## where ##\mathbf{u} \in U, \mathbf{v} \in V## and expressing the elements of ##U## and ##V## in terms of the arbitrary point ##(x_1,x_2,x_3)## to show
  • #1
schniefen
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TL;DR Summary
Consider ##U=\{\textbf{x} \in \mathbf{R}^3; x_1+x_2+3x_3=0\}## and ##U=\{t(1,1,2)\in\mathbf{R}^3; t \in \mathbf{R}\}##. Show that ##\mathbf{R}^3=U \bigoplus V##.
If one shows that ##U\cap V=\{\textbf{0}\}##, which is easily shown, would that also imply ##\mathbf{R}^3=U \bigoplus V##? Or does one need to show that ##\mathbf{R}^3=U+V##? If yes, how? By defining say ##x_1'=x_1+t,x_2'=x_2+t,x_3'=x_3+2t## and hence any ##\textbf{x}=(x_1',x_2',x_3') \in \mathbf{R}^3## can be expressed as a sum of ##\textbf{u}=(x_1,x_2,x_3) \in U## and ##\textbf{v}=(t,t,2t) \in V## for ##t \in \mathbf{R}##?
 
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  • #2
If ##U\cap V =\{\,0\,\}## then we have a plane and a straight outside the plane, so they have to span a three dimensional space. So whether this is sufficient or not has to be answered by your teacher. I guess you should show that the sum equals the total space for practicing reasons.

In your proof, I don't see why ##\mathbf{u} \in U##. You need to set ##x_3=-\dfrac{1}{3}(x_1+x_2)## and show that the system can be solved.
 
  • #3
fresh_42 said:
In your proof, I don't see why ##\mathbf{u} \in U##. You need to set ##x_3=-\dfrac{1}{3}(x_1+x_2)## and show that the system can be solved.

Solving the system one can write ##\mathbf{u}=(-r-3s, r, s) \in U## for ##r,s\in \mathbf{R}##.

fresh_42 said:
I guess you should show that the sum equals the total space for practicing reasons.

How would one do that? Finding the basis vectors for ##U## and ##V## respectively and check if they are linearly independent? Or can one, less rigorously, state that ##\mathbf{u}=(-r-3s, r, s) \in U## and ##\mathbf{v}=(t,t,2t) \in V## for ##r,s,t\in\mathbf{R}##. Since ##\mathbf{u}+\mathbf{v}=(-r-3s+t,r+t,s+2t)##, every ##\mathbf{x}\in\mathbf{R}^3## can be expressed as a sum of ##\mathbf{u}+\mathbf{v}## by choosing appropriate constants.
 
  • #4
schniefen said:
How would one do that? Finding the basis vectors for ##U## and ##V## respectively and check if they are linearly independent? Or can one, less rigorously, state that ##\mathbf{u}=(-r-3s, r, s) \in U## and ##\mathbf{v}=(t,t,2t) \in V## for ##r,s,t\in\mathbf{R}##. Since ##\mathbf{u}+\mathbf{v}=(-r-3s+t,r+t,s+2t)##, every ##\mathbf{x}\in\mathbf{R}^3## can be expressed as a sum of ##\mathbf{u}+\mathbf{v}## by choosing appropriate constants.
You have to solve the equation ##\mathbb{R}^3 \ni (x_1,x_2,x_3)= \mathbf{u} + \mathbf{v}## where ##\mathbf{u} \in U, \mathbf{v} \in V## have to be expressed in terms of the ##x_i\,.## Yes the elements of ##U## look like ##(-r-3s,r,s)## and the elements of ##V## as ##(t,t,2t)##, but what are ##r,s,t## given an arbitrary point ##(x_1,x_2,x_3)\,?##

This would show ##\mathbb{R}^3=U+V## and with ##U\cap V= \{\,0\,\}## we get ##\mathbb{R}^3
=U\oplus V##. Of course the dimension argument would give the result immediately, as I first said. The presentation of an arbitrary point as a sum of vectors ##\mathbf{u},\mathbf{v}## is just for practice.
 
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1. What is a direct sum of subspaces?

A direct sum of subspaces is a mathematical concept that refers to the combination of two or more subspaces in a vector space such that their intersection is only the zero vector and their sum is equal to the entire vector space.

2. How can I show that a direct sum of subspaces equals a vector space?

To show that a direct sum of subspaces equals a vector space, you need to prove two things: first, that the intersection of the subspaces is only the zero vector, and second, that the sum of the subspaces is equal to the entire vector space. This can be done by showing that any vector in the vector space can be expressed as a unique combination of vectors from each subspace.

3. What is the significance of showing that a direct sum of subspaces equals a vector space?

Showing that a direct sum of subspaces equals a vector space is significant because it helps us understand the structure of the vector space. It also allows us to decompose the vector space into smaller, more manageable subspaces, which can be useful in solving mathematical problems.

4. Can a direct sum of subspaces be equal to a vector space in any dimension?

Yes, a direct sum of subspaces can be equal to a vector space in any dimension. This is because the definition of a direct sum does not depend on the dimension of the vector space, but rather on the properties of the subspaces that make up the direct sum.

5. How is a direct sum of subspaces different from a direct product of subspaces?

A direct sum of subspaces is different from a direct product of subspaces in that the former combines the subspaces in a way that their intersection is only the zero vector, while the latter combines the subspaces in a way that their intersection can be any vector in the vector space.

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