Showing direct sum of subspaces equals vector space

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Discussion Overview

The discussion revolves around the conditions necessary to demonstrate that the direct sum of two subspaces \( U \) and \( V \) equals the vector space \( \mathbb{R}^3 \). Participants explore the implications of showing that the intersection of the two subspaces is trivial and whether it is sufficient to prove that \( \mathbb{R}^3 = U + V \) to establish \( \mathbb{R}^3 = U \bigoplus V \).

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant suggests that showing \( U \cap V = \{\textbf{0}\} \) is a necessary step but questions if it alone implies \( \mathbb{R}^3 = U \bigoplus V \) without demonstrating \( \mathbb{R}^3 = U + V \).
  • Another participant asserts that if \( U \cap V = \{0\} \), then the two subspaces must span a three-dimensional space, but emphasizes that this needs confirmation from a teacher.
  • Several participants discuss the need to express arbitrary points in \( \mathbb{R}^3 \) as sums of vectors from \( U \) and \( V \), with one suggesting the use of specific forms for vectors in \( U \) and \( V \) to facilitate this expression.
  • There is a proposal to find basis vectors for \( U \) and \( V \) and check their linear independence as a method to demonstrate the required properties.
  • Participants express uncertainty about the specific values of parameters \( r, s, t \) needed to represent an arbitrary point in \( \mathbb{R}^3 \) as a sum of vectors from \( U \) and \( V \).

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether showing \( U \cap V = \{0\} \) is sufficient to conclude \( \mathbb{R}^3 = U \bigoplus V \) without also demonstrating \( \mathbb{R}^3 = U + V \). Multiple viewpoints and methods are presented, indicating ongoing debate.

Contextual Notes

Participants mention the importance of solving systems of equations and the role of dimension arguments, but there are unresolved mathematical steps regarding the explicit representation of arbitrary points in terms of vectors from \( U \) and \( V \).

schniefen
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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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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.
 
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.
 
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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