Is the Orthogonal Complement of a Subspace of (Rn) Also a Subspace of (Rn)?

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In summary, we are asked to prove that the orthogonal complement of a subspace S of (Rn) is also a subspace of (Rn). This can be shown by considering the set of vectors that span (Rn) and the null space of its transpose, which is equal to the orthogonal complement of S. By the Fundamental Subspace Theorem, these two subspaces form a direct sum of (Rn), thus proving that V is indeed a subspace of (Rn). It is suggested that instead of appealing to the theorem, one should try to prove this directly from the definition of the orthogonal complement.
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robierob12
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Prove that the orthogonal complement of a subspace of (Rn) is itself a subspace of (Rn)

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Let V be the orthogonal complement of S, S a subspace of (Rn).

Let the set of vectors that span (Rn) be written as the columns of matrix A.

consider the homogenous equation

A(transpose)u=0

The solution space of the vectors u will all dot with any row vector from A transpose equaling zero.

So the null space of A transpose is the subspace V.

By (Fundamental Subspace Theroem) Two subspaces, Column space of a matricies transpose and the nullspace of that same matrix form a direct sum of (Rn).

Thus V is also a subspace of (Rn)

Does this make sense?
Am I trying way too hard here becuase this seems like it should be an easy one.
 
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  • #2
Yea, that seems about right, although I think you want the columns to span S, not R^n.

It would probably be a good exercise to try to prove this directly from the definition of the orthogonal complement of a subspace, rather than appealing to that theorem.
 
  • #3
I wouldn't do anything that complicated. In particular, there is no reason to appeal to "matrices". A subset of a vector space is a subspace if and only if au+ bv is a membere of subset whenever u and v are members of the subset and a and b scalars. If u and v are members of v and w a member of S, what is the innerproduct of (au+bv) with w?
 

1. What is the definition of a proof: orthogonal complement?

A proof: orthogonal complement is a mathematical concept that refers to a vector or subspace that is perpendicular to another vector or subspace in an inner product space.

2. How is an orthogonal complement represented mathematically?

An orthogonal complement is represented using the ⊥ symbol, for example, A⊥ denotes the orthogonal complement of vector A.

3. What is the relationship between a vector and its orthogonal complement?

The orthogonal complement of a vector is a subspace that contains all vectors that are perpendicular to the given vector. This means that the dot product of any vector in the subspace with the given vector will be equal to zero.

4. How do you prove that two vectors are orthogonal?

To prove that two vectors are orthogonal, you must show that their dot product is equal to zero. If the dot product is zero, then the two vectors are perpendicular and therefore orthogonal.

5. Can an orthogonal complement exist in a non-Euclidean space?

Yes, an orthogonal complement can exist in non-Euclidean spaces. In these spaces, the concept of perpendicularity may be defined differently, but the basic idea of the orthogonal complement remains the same.

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