Proving Orthogonal Compliments of Subspaces in Matrix Algebra

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SUMMARY

The discussion focuses on proving that the set W of row vectors x in Rm such that xA=0 is a subspace of Rm, and that W and the column space of matrix A are orthogonal complements. The participants confirm that to establish W as a subspace, it is sufficient to demonstrate closure under addition and scalar multiplication. For the orthogonality proof, it is essential to show that the dot product of any vector in W with any column vector of A results in zero, confirming their orthogonal relationship.

PREREQUISITES
  • Understanding of subspace definitions in linear algebra
  • Familiarity with matrix multiplication and dot products
  • Knowledge of orthogonal complements in vector spaces
  • Proficiency in the concepts of dimension and nullity of matrices
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  • Study the properties of subspaces in linear algebra
  • Learn about the relationship between nullity and the rank of a matrix
  • Explore the concept of orthogonal complements in more depth
  • Investigate examples of proving orthogonality in matrix algebra
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Students of linear algebra, mathematicians, and anyone involved in matrix theory or vector space analysis will benefit from this discussion.

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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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