Is the Set of Orthogonal Vectors to Any Non-Zero Vector a Subspace?

AI Thread Summary
The discussion focuses on proving that the set of all vectors orthogonal to a non-zero vector in a vector space V^n forms a subspace V^{n-1}. A user attempts to use linear combinations and inner product properties to demonstrate this but struggles with the notation and understanding the outcome. They realize that to show the orthogonality of vectors, they need to confirm that if X and Y are orthogonal to V, then cX and X+Y must also be orthogonal to V. The conversation highlights the connection between linear algebra and its applications in quantum mechanics, despite the initial confusion about the topic's classification. The key takeaway is the importance of using inner product properties to establish the subspace criteria.
ercagpince
Messages
29
Reaction score
0

Homework Statement


In a space V^{n} , prove that the set of all vectors
\left\{|V^{1}_{\bot}> |V^{2}_{\bot}> |V^{3}_{\bot}> ... \right\}
orthogonal to any |V> \neq 0 , form a subspace V^{n-1}

Homework Equations





The Attempt at a Solution


I tried to make a linear combination from that set and product with <V|, I yielded nothing logical , at least I didn't understand the outcome .
I wrote <V| as linear combination of basis in V^n vector space , I thought
that since the |V> and those vectors share the same vector space , it might be possible that they have the same orthogonal basis (just an assumption which is probably false) .

All it left to me the product of components of these vectors as a matrix , but as i said before I have no clue that I am doing the right thing to solve this problem .
 
Physics news on Phys.org
X is orthogonal to V if <V|X>=0. To show such vectors form a subspace you just have to show if X and Y are orthogonal to V and c is a scalar then cA and A+B are also orthogonal to V.
 
What are A and B ?
 
ercagpince said:
What are A and B ?

Ooops. I meant show cX and X+Y are orthogonal to V. Forgot my notation.
 
how can I show it ?
That is the problem actually .
 
Use properties of the inner product! <V|(X+Y)>=<V|X>+<V|Y>, for example.
 
Why in the world is this under "physics"? This is a pretty standard Linear Algebra question!
 
I saw this problem on a quantum mechanics textbook , that's why I subscribed it in here .

Thank you dick by the way .
 
Back
Top