General questions about intersection of subspaces

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SUMMARY

This discussion focuses on the intersection of two subspaces within vector spaces and the method for finding the solution space of a system of equations. The correct approach involves creating a matrix from the basis vectors of the subspaces and row reducing it to analyze linear dependencies. A key takeaway is that finding a linear combination of basis vectors from one subspace that produces a vector from the other subspace is essential for determining their intersection. The participants confirm the understanding of these concepts and clarify the correct procedures for both tasks.

PREREQUISITES
  • Understanding of vector spaces and subspaces
  • Familiarity with matrix operations, specifically row reduction
  • Knowledge of linear combinations and linear independence
  • Basic concepts of systems of linear equations
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  • Study the process of finding the intersection of subspaces in linear algebra
  • Learn about reduced row echelon form and its applications in solving systems of equations
  • Explore linear combinations and their role in determining vector dependencies
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Students and educators in mathematics, particularly those studying linear algebra, as well as anyone seeking to deepen their understanding of vector spaces and systems of equations.

talolard
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Hey Guys.
I have some questions about vector spaces, I would really apreciate if someone could read this and let me know if I understand things or not, and if not let me know where I have it wrong.

I am having a lot of trouble UNDERSTANDING how to find the intersection of two vector spaced and how to find the space of solutions of a system of equations.

Given two spaces and there bases as vectors I think the way to find the intersection is to write a matrix with each vector as a column. This is because I am looking for a linear combination of these vectors that equals 0. Since if it equals 0 then there is an equivalence between the vectors.
Having taken this matrix and brining it to reduced row echelon form, what do I do from here? More importantly, do I understand this coorectly?

With a system of solutions: Given a number of equations I would put each equation in the matrix as a row and bring it to reuced row echelon form. This is because in this case I am searching for the dependencies between variables in the equations by combining them. So if I have a single 1 in each row and everything else zero than that variable is equal to the coresponding entry in the solutions column.
If there is a row with two variables then the opening variable (the first entry in that row with a 1) is tied to the other variable.
I just need to know if I understand this or not as when I try to solve problems I am unsure of myself because I am not sure if i know what I am doing or not.
Thanks
Tal
 
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talolard said:
Hey Guys.
I have some questions about vector spaces, I would really apreciate if someone could read this and let me know if I understand things or not, and if not let me know where I have it wrong.

I am having a lot of trouble UNDERSTANDING how to find the intersection of two vector spaced and how to find the space of solutions of a system of equations.
I think you really mean two subspaces of a vector space.
talolard said:
Given two spaces and there bases as vectors I think the way to find the intersection is to write a matrix with each vector as a column. This is because I am looking for a linear combination of these vectors that equals 0. Since if it equals 0 then there is an equivalence between the vectors.
Having taken this matrix and brining it to reduced row echelon form, what do I do from here? More importantly, do I understand this coorectly?
Make that "Given two subspaces of a vector space ..."

I don't think your plan will work. Let me make things a little less abstract. Let's say that one of the subspaces is U and a basis for U is {u1, u2}. Let's say that another subspace is W and a basis for it is {w1, w2}. You create a matrix whose columns are u1, u2, w1, and w2 and row reduce it. If you find that the only solution for the coefficients of u1, u2, w1, and w2 is the zero vector, all you have established is that the four vectors are linearly independent. This does not help you in determining the intersection of the two subspaces.

One approach that might be helpful is to determine whether there is some linear combination of the basis vectors in one subspace that produces one of the basis vectors in the other subspace. You could do this for each vector in the other subspace. If you get a solution, then the given vector is in the intersection of the two subspaces. If you don't get a solution, then the given vector is not in the intersection.
talolard said:
With a system of solutions: Given a number of equations I would put each equation in the matrix as a row and bring it to reuced row echelon form. This is because in this case I am searching for the dependencies between variables in the equations by combining them. So if I have a single 1 in each row and everything else zero than that variable is equal to the coresponding entry in the solutions column.
If there is a row with two variables then the opening variable (the first entry in that row with a 1) is tied to the other variable.
I just need to know if I understand this or not as when I try to solve problems I am unsure of myself because I am not sure if i know what I am doing or not.
Thanks
Tal
 
Thanks,
That's exactly what I needed to hear.
Tal
 

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