Dimension of subspace of V^n with orthogonal vectors

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Discussion Overview

The discussion revolves around the dimensionality of a subspace in V^n formed by vectors that are orthogonal to a given non-zero vector v. Participants explore the implications of this orthogonality and the structure of the resulting subspace, focusing on theoretical aspects and the relationships between bases and spans in vector spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant asserts that the set of all vectors orthogonal to any non-zero vector v forms a subspace of dimension (n-1), questioning how to prove this given the conditions.
  • Another participant suggests extending the vector v to a basis of V^n and inquires about the dimension of the span of the remaining basis vectors and its relation to the orthogonal vectors.
  • There is a query about whether the sum of a vector and the span of other basis vectors constitutes a subspace of V^n, along with a concern regarding the normalization of the vector v in the context of basis formation.
  • A participant clarifies that they are discussing a basis in general terms, not specifically an orthonormal basis, and emphasizes that it is possible to find additional vectors to complete a basis in a vector space.
  • Another participant introduces the idea of defining W as the span of certain basis vectors and W' as the space of vectors orthogonal to v, proposing that demonstrating W=W' could establish the dimensionality claim.

Areas of Agreement / Disagreement

Participants express differing views on the nature of bases and the implications of orthogonality, with no consensus reached on the dimensionality proof or the conditions required for establishing the subspace's properties.

Contextual Notes

The discussion includes assumptions about linear independence and the properties of spans and bases in vector spaces, which remain unresolved. The implications of normalization on the basis vectors are also not fully addressed.

raphael3d
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in a space V^n, prove that the set of all vectors {v1,v2,..}, orthogonal to any v≠0, form a subspace V^(n-1).

i know that a subspace of V^n must be at least one dimension less and the set of vector v1,v2,... build a orthogonal basis, but how can one show with this preconditions that the subspace has to be of dimension (n-1)?
 
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For a fixed non-zero vector v extend (v) to a basis [itex](v,b_2,b_3,\ldots,b_n)[/itex] of V^n. Now what is the dimension of [itex]\text{Span}(b_2,\ldots,b_n)[/itex] and how this space relate to all vectors orthogonal to v?
 
so would v1+ span(b2,...,bn) be a subspace of v^n ?
but why should (v,b2,b3,...,bn) be a basis, when v isn't normalized to a unit vector?

thanks rasmhop for your reply
 
raphael3d said:
so would v1+ span(b2,...,bn) be a subspace of v^n ?
but why should (v,b2,b3,...,bn) be a basis, when v isn't normalized to a unit vector?

thanks rasmhop for your reply

I'm not talking about an orthonormal basis or anything like that, just a basis. In general in a vector space V of dimension n, for m linearly independent vectors [itex]b_1,\ldots,b_m[/itex] we can find vectors [itex]b_{m+1},\ldots,b_n[/itex] such that [itex]b_1,\ldots,b_n[/itex] is a basis for V.

The idea of my first reply was that we let [itex]W = \text{Span}(b_2,\ldots,b_n)[/itex] and let W' be the vector space of vectors orthogonal to v. Now it's possible to show W=W' by showing that if a vector is in W', then it must be in W; and if a vector is in W, then it is in W'.
 

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