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

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Homework Help Overview

The discussion revolves around proving that the set of all vectors orthogonal to a non-zero vector in an n-dimensional space forms a subspace of dimension n-1. The context is rooted in linear algebra, particularly in the study of vector spaces and orthogonality.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to explore linear combinations of orthogonal vectors and their relationship with the inner product. Some participants suggest demonstrating properties of the inner product to establish the subspace criteria. Questions arise regarding the notation and definitions of vectors involved in the discussion.

Discussion Status

The discussion is ongoing, with participants providing guidance on using inner product properties. There is a lack of explicit consensus on the approach, as some participants are still seeking clarification on the notation and the steps needed to show the required properties.

Contextual Notes

Participants note that the problem appears in a quantum mechanics context, which may influence the framing of the discussion. There is also a mention of confusion regarding the categorization of the problem within the forum.

ercagpince
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Homework Statement


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

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 .
 
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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 .
 

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