Proving Orthogonal Compliments of Subspaces in Matrix Algebra

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Homework Help Overview

The discussion revolves around proving properties of subspaces in the context of matrix algebra, specifically focusing on the set of row vectors that satisfy a certain condition related to an mxn matrix A. Participants are tasked with demonstrating that this set is a subspace and that it is orthogonal to the column space of A.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the requirements for proving that the set W is a subspace, including closure under addition and scalar multiplication. There is also exploration of how to demonstrate the orthogonality between W and the column space of A, with questions about the implications of dot products and properties of orthogonal complements.

Discussion Status

Some participants affirm the initial approach to proving W as a subspace, while others express uncertainty about the orthogonality proof. There is a productive exchange regarding the implications of dot products and the assumptions about standard operations in vector spaces.

Contextual Notes

Participants are operating under the assumption of standard definitions for vector addition and scalar multiplication, as no alternative definitions have been provided in the problem statement.

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Homework Statement


Let A be an mxn matrix.
a. Prove that the set W of row vectors x in R^m such that xA=0 is a subspace of R^m.

b. Prove that the subspace W in part a. and the column space of A are orthogonal compliments.


Homework Equations





The Attempt at a Solution


a. to be a subspace, I believe i only need to show that W is closed under addition and multiplication. So I just show that (rx+sy)A=0. Right?

b. Not too sure about this. Should I try to show that x dotted with a=0 for all x and a? Or should try to do something with the properties of orthogonal compliments? I can show that dim(W)= nullity(A), but I don't think that's really going to do anything for me.
 
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For part a you have the right idea.

For part b, If you look at the row vector x dotted with one of the columns of W, say a, then where in the vector xA can you find that number?
 
For a row vector x dotted with the column vector ai, the resuting value will be the ith column of the 1xn zero vector. This for me does not guarantee that the value will be zero, however.
 
mlarson9000 said:
For a row vector x dotted with the column vector ai, the resuting value will be the ith column of the 1xn zero vector. This for me does not guarantee that the value will be zero, however.

I don't get it. The result is the ith entry in a zero vector. How might that not be zero?
 
If addition or scalar multiplication are redefined, then the zero vector can have nonzero entries. So since the problem doesn't say anything about that, I am to assume that everything is normal?
 
If they don't explicitly tell you to use a nonstandard addition or scalar product, then sure, assume everything is normal.
 

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