Vector spaces over fields other than R or C?

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Discussion Overview

The discussion explores the concept of vector spaces defined over fields other than the real numbers (R) or complex numbers (C). Participants consider various fields, their applications, and the implications for vector space definitions, including terminology and examples from computer science and coding theory.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants inquire about fields other than R and C that can define vector spaces, mentioning F_2 (the field with two elements) and the rationals (Q) as examples.
  • It is noted that vector spaces do not satisfy the axioms of a field, as there is no general multiplication of vectors that would make them a field.
  • Clarification is provided that the correct terminology is 'three-dimensional vector space over R' rather than 'vector space over R^3', since R^3 is not a field.
  • Participants discuss whether sequences of bits or bytes can be considered vectors in a vector space over F_2, with some expressing uncertainty about this classification.
  • One participant mentions the usefulness of vector space concepts in coding theory, suggesting that encoding bit strings could be relevant.
  • Another participant discusses the relationship between fields and rings, emphasizing the ability to divide in fields and its implications for reducing spanning sets to bases.
  • There is a reference to the decomposition theorem for finitely generated modules over a principal ideal domain, with a specific case involving irreducible polynomials and vector spaces over quotient rings.

Areas of Agreement / Disagreement

Participants express varying views on the classification of vectors and the implications of different fields for vector spaces. There is no consensus on the classification of bytes as vectors or the broader applications of vector spaces over fields like F_2.

Contextual Notes

Some discussions involve assumptions about the nature of vector spaces and the definitions of fields, which may not be universally agreed upon. The conversation also touches on advanced concepts in linear algebra and module theory, which may require specific mathematical background to fully understand.

Nancarrow
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Er that's it really. In the various texts I've got that introduce vector spaces, they always say 'defined over a field' and then give R and C as examples. Are there other fields that mathmos or physicists define vector spaces over?

Does a vector space satisfy the axioms of a field? I'll think about it when I get home. If it did then you could have a vector space over vectors. :smile:

Oh and a quick Q about terminology. If we consider the arrows-in-3D-space that we all know and love from high school, do we say that's a 3-D vector space over R, or a vector space over R^3? Would the latter even make sense?


I'm an accountant by the way. :rolleyes:
 
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The next most common field is F_2, the field with 2 elements - it is the field that computers think in, to invent a white lie. The rationals, Q, are useful.

No, vector spaces are not fields. They clearly don't satisfy the axioms of a field (out of the box, that is: there is no such thing as a good multiplication of vectors that makes sense in general, and make any vector space into a field).

We say, 'three dimensional vector space over R', or 'three dimensional real vector space'.

We do not say 'a vector space over R^3'. That does not make sense. R^3 is not a field.
 
Cool, thanks for the comprehensive reply!

So by 'next most common' I presume you mean 'frequently studied by mathematicians/computer scientists/etc'. But do they just study the fields themselves, or have interesting/useful vector spaces over them been studied?

Hang on... would a byte (or indeed any length sequence of bits) then be a valid vector in a vector space over f_2? I think so but this is all quite new and scary.
 
No, I don't mean studied by mathematicians or computer scientists, per se. I wouldn't like to say what they do. It is however the next most natural field, i.e. one you'll find in real life situations, which is I presume how you're thinking of mathematics - by its uses.

The answer as to whether a byte is a vector or not is a bit 'yes and no'. Sorry. A vector space over F_2 would look like a method of encoding bit strings. Whether or not you chose to do that is a different matter. It is useful to use the vector space ideas for, say, coding theory. I doubt it would help you produce a better processor, but then I don't make chips.

I would say a byte is a unit of information. A vector is an element of a vector space (not arrows, please don't use arrows!). Remember, anything 'might' be a vector in some vector space. You need to specify what the space is, and that includes things like addition of vectors, multiplication by scalars and the zero vector, etc.
 
yes, sounds right. any sequence of zeroes and 1's is vector ove Z/2.one advantge fields have over rings is you can divide, the main mybe only one rewlly.that makes it possible to reduce any spanning set to a basis, i,.e,. an in dependent spanning set.

in trying to prove the decomposition theorem for finitely generated modules over a principal ideal domain like k[X] where k is a field, inability to do this is an obstackle.

but in case the minimal polynomial for your operator, or your module, is "square free", i.e. a product of distinct irreducible polynomials, you can reduce to the case of a module over k[X]/(F) where f is irreducible, and this quotient ring is a field.

that makes the proof easy for that special acse. i discoevred this for myself while writing out my webnotes on linear algebra a couple xamses ago. so i use fact that a module over the ring k[X] whose minimal polynomial f is irreducible, becomes a vector space over the field k[X]/(f). in my proof.
 

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