Proof for “the hyperplane is orthoronal to the vector .”
A hyperplane is defined as .
This can be also represented as where is any point in
. That is .
Then, using the orthogonal component of , i.e., ⊥ , we can
express
⊥ . Therefore, the hyperplane consists of an
offset , plus all vectors orthogonal to the vector .
Now, we choose ∊ with ≠ . Then, .
Thus, ∊ ⊥ .
Now we claim that is in the direction of the hyperplane .
Proof:
Now we prove that is parallel to the hyperlane or is in the
direction of the hyperplane. We choose a point ∊ , and if is parallel to
the hyperplane , then a new point for ∊ must be also a
point the hyperplane :
Observe , since
because ∊ and as already proved.
Conclusion: Finally, since is parallel to and also orthogonal to , the
hyperplane is orthogonal to the vector .