List some uncommon vector spaces

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Homework Help Overview

The discussion revolves around the exploration of uncommon vector spaces in the context of linear algebra. The original poster seeks to present a variety of vector spaces to illustrate that vectors can encompass more than just directed line segments.

Discussion Character

  • Exploratory, Conceptual clarification

Approaches and Questions Raised

  • Participants suggest various examples of vector spaces, including finite-dimensional spaces like polynomials and solutions to differential equations, as well as infinite-dimensional spaces such as functions from R to R. There is also mention of unconventional definitions of vector space operations.

Discussion Status

Several examples of uncommon vector spaces have been provided, with participants acknowledging and building upon each other's contributions. There is an ongoing exploration of the dimensionality of certain spaces, particularly regarding the real numbers and their relationship with the rational numbers.

Contextual Notes

Participants are considering vector spaces over different fields, with some clarifying the dimensionality of spaces and the implications of scalar multiplication. There is a focus on ensuring definitions align with standard vector space axioms.

benorin
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I'm tutoring a linear algebra/diff eqs class and we are about to start on vector spaces; the point is this, I would like to present them with a variety of unsual vector spaces (along with the usual ones) that they may understand that vectors are not just directed line segments, but rather more than that. Please list some uncommon vector spaces (or common ones with non-standard definitions of scalar multiplication and/or vector addition).

Thanks,
--Ben
 
Last edited:
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I suppose you want to stick to real vector spaces, and not vs's over other fields?

Finite-dimensional:
The v.s. of all polynomials of degree less than d.
The v.s. of solutions to a second order ordinary differential equation.
R
C

Infinite-dimensional.
The v.s. of all functions R->R. (or, all continuous functions, or all polynomial functions)



You can obfuscate any vector space you like too; just pick any invertible function f:V -> V, and then the operations

[tex]s \otimes v := f(s f^{-1}(v))[/tex]
[tex]v \oplus w := f(f^{-1}(v) + f^{-1}(w))[/tex]

define a new vector space structure on V.
 
For example, the set of all converging real sequences. Or, the set of all solutions of a homogenous system of linear equations.
 
Thank you Hurkyl for your excellent examples.
And Thank you radou for the additional example of a v.s., namely the set of all converging real sequences (nice one).
 
And, although Hurkyl specifically said he was restricting to vector spaces over the real numbers, you can think of the real numbers themselves as a vector space over the rational numbers. That's not only infinite dimensional, it is of uncountable dimension.

Of course, the real numbers form a very simple one dimensional vector space over themselves.
 
Last edited by a moderator:
(you mean over the rational numbers)
 
Yes, of course. Thanks, Hurkyl, I'll edit it.

(Of course, the complex numbers can be considered a two dimensional vector space over the real numbers.)
 
The rationals themselves fail to be a subspace of the reals only for the closure under scalar multiplication axiom (was exam question).
 

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