Orthogonal complement of a subspace

In summary, the conversation discusses finding a basis for the orthogonal complement of a subspace W spanned by three column vectors. The solution involves taking the transpose of the matrix formed by the column vectors and finding the null space, which is equal to the orthogonal complement. The conversation also considers the dimension of W perp and the linear independence of the original vectors.
  • #1
bcjochim07
374
0

Homework Statement


Let W be the subspace spanned by the given column vectors. Find a basis for W perp.

w1= [2 -1 6 3] w2 = [-1 2 -3 -2] w3 = [2 5 6 1]
(these should actually be written as column vectors.




Homework Equations





The Attempt at a Solution



So, I put these vectors into a matrix and took its transpose since the orthogonal complement of the column space of a matrix equals the null space of the transpose.

I row reduced the transpose and got null(A transpose) = span{ [-4 1 0 3] , [-3 0 1 0]}
(Again, these should be written as column vectors)

This is the correct answer, but I thought that I should have gotten a null space with dimension one. The three vectors that span W "live" in R4 and the basis for W has dimension three. 4 - 3 =1, so shouldn't the dimension of W perp = 1?
 
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  • #2
You're sure that w1, w2 and w3 actually span a 3 dimensional space, are you?
 
  • #3
That would only be true if the three original vectors were linearly independent (i.e., if the space they span had dimension 3). Is this true?
 
  • #4
Ok, I see. 3*w1 + 4*w2 = w3. I guess I just assumed that when it said a subspace W spanned by the vectors w1,w2,& w3, that those vectors would form a basis for W.
 

FAQ: Orthogonal complement of a subspace

What is the definition of the orthogonal complement of a subspace?

The orthogonal complement of a subspace is the set of all vectors that are perpendicular to every vector in the subspace. In other words, it is the set of all vectors that are orthogonal (perpendicular) to the subspace.

How is the orthogonal complement of a subspace denoted?

The orthogonal complement of a subspace is denoted by the symbol ⊥ or by adding a superscript ⊥ to the subspace's symbol. For example, if the subspace is denoted by W, then its orthogonal complement would be denoted by W⊥.

What is the relationship between a subspace and its orthogonal complement?

A subspace and its orthogonal complement are complementary subspaces, meaning that they together span the entire vector space. Additionally, any vector in the vector space can be uniquely written as a sum of a vector in the subspace and a vector in its orthogonal complement.

How can the orthogonal complement of a subspace be found?

The orthogonal complement of a subspace can be found by using the Gram-Schmidt process, which is a method of constructing an orthonormal basis (a set of vectors that are mutually orthogonal and have a length of 1) for the subspace. The orthogonal complement is then made up of the remaining vectors that were not used to form the orthonormal basis.

What is the importance of the orthogonal complement of a subspace?

The concept of the orthogonal complement of a subspace is important in various areas of mathematics and physics. It is particularly useful in linear algebra and functional analysis, where it is used to solve systems of linear equations and to study the properties of vector spaces. It also has applications in fields such as signal processing, quantum mechanics, and computer graphics.

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