[Linear Algebra] Subspace Proof

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Homework Help Overview

The discussion revolves around demonstrating that a set of eigenvectors associated with a specific eigenvalue of a matrix forms a subspace of ℝn. Participants are exploring the properties that need to be verified for a set to qualify as a subspace, particularly in the context of linear algebra.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the requirements for a subspace, including closure under addition and scalar multiplication, and the presence of the zero vector. There is an emphasis on clarifying the problem statement and ensuring understanding of the definitions involved.

Discussion Status

Some participants have provided clarifications regarding the problem's requirements, while others express confusion about the terminology used. There is a productive exchange of ideas, with hints and guidance being offered to help clarify the steps needed to approach the proof.

Contextual Notes

There are indications of misunderstanding regarding the problem's setup, with some participants questioning the use of vague terms like "it" and the relevance of discussing sets of n x n matrices versus the specific matrix in question.

Highway
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Homework Statement



I have a matrix and need to show that it is a subspace of ℝn using the eigenspace identity of: Ax = λx, where x is the eigenvector.

Homework Equations





The Attempt at a Solution



I know that for a subspace, you need to show that it holds under addition, scalar multiplication, and that the zero vector is present. But I don't know how to get started on this... any hints? Thanks!
 
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Highway said:

Homework Statement



I have a matrix and need to show that it is a subspace of ℝn using the eigenspace identity of: Ax = λx, where x is the eigenvector.

Homework Equations





The Attempt at a Solution



I know that for a subspace, you need to show that it holds under addition, scalar multiplication, and that the zero vector is present. But I don't know how to get started on this... any hints? Thanks!

I don't believe that your problem description is an accurate depiction of what you're supposed to do. Here's what I think that problem actually is:

For a given n x n matrix A, with a given eigenvalue λ, show that the solutions of the equation Ax = λx form a subspace of Rn. In other words, show that the eigenvectors associated with the eigenvalue λ form a subspace of Rn.​
 
Highway said:
I know that for a subspace, you need to show that it holds under addition, scalar multiplication, and that the zero vector is present. But I don't know how to get started on this... any hints? Thanks!
"it" = what? Math students should never use the word "it" unless the antecedent is obvious to the most casual observer.
 
Mark44 said:
I don't believe that your problem description is an accurate depiction of what you're supposed to do. Here's what I think that problem actually is:

For a given n x n matrix A, with a given eigenvalue λ, show that the solutions of the equation Ax = λx form a subspace of Rn. In other words, show that the eigenvectors associated with the eigenvalue λ form a subspace of Rn.​

yes this is correct. . .
 
Mark44 said:
"it" = what? Math students should never use the word "it" unless the antecedent is obvious to the most casual observer.

i think what I am trying to say is that the set of nxn matricies is a subset. . .
 
See? Even you're confused. This really has almost nothing to do with any set of n x n matrices - just one particular matrix, and the set of vectors that are the eigenvectors associated with one eigenvalue of that matrix.

Your sentence with "it" removed is:
I know that to show that this set of vectors[/color] is a subspace, you need to show that [STRIKE]it holds under addition[/STRIKE] this set is closed under vector addition and scalar multiplication, and that the zero vector is present.

So you need to check 3 things.
1) Is the 0 vector in this set? I.e., is A0 = λ0 a true statement.
2) Is the set closed under vector addition?
3) Is the set closed under scalar multiplication?
 
Mark44 said:
See? Even you're confused. This really has almost nothing to do with any set of n x n matrices - just one particular matrix, and the set of vectors that are the eigenvectors associated with one eigenvalue of that matrix.

Your sentence with "it" removed is:
I know that to show that this set of vectors[/color] is a subspace, you need to show that [STRIKE]it holds under addition[/STRIKE] this set is closed under vector addition and scalar multiplication, and that the zero vector is present.

So you need to check 3 things.
1) Is the 0 vector in this set? I.e., is A0 = λ0 a true statement.
2) Is the set closed under vector addition?
3) Is the set closed under scalar multiplication?

i am confused, and this is a lot more clear to me. . .

when i go to show these, do i pick arbitrary real values and show that they hold?
 
The first item is easy to show, so I'll skip it.
For #2, take arbitrary vectors that belong to the set and show that their sum is also in the set.
For #3, take an arbitrary vector u and an arbitrary real number c, and show that cx is in the set.

You don't get to choose vectors or scalars. What you are showing is that no matter which vectors are chosen, and which scalar, u + v is in the set and cu is in the set.

"in the set" - what is it that defines every vector in the set you're working with? How can you tell if a vector is in the set or not?
 
thanks! this really helped a lot to make sense of things. . .
 

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