Vector Space Help: Understanding Notation & Polynomials

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Homework Help Overview

The discussion revolves around understanding the notation and concepts related to vector spaces in the context of linear algebra, specifically focusing on 2x2 matrices with polynomial entries.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the meaning of notation related to vector spaces, questioning the nature of matrix entries as polynomials. There are inquiries about whether specific examples are necessary for understanding closure properties in vector spaces.

Discussion Status

Participants are actively engaging with the concepts, confirming each other's understanding and exploring the implications of using specific versus general polynomial entries in matrices. There is a productive exchange regarding the definitions and properties that need to be satisfied for a set to be considered a vector space.

Contextual Notes

Some participants express uncertainty about the necessity of using specific polynomials versus general polynomial forms in their matrices, indicating a need for clarification on the definitions involved.

elle
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Vector space help please..

Hi,
Just started a linear algebra course recently but I am confused with the notation used :confused:

http://i9.tinypic.com/2w4za50.jpg

I am unsure how to proceed with this question. Can someone help? The part highlighted, what does it mean? 2x2 matrix of P? The P represents the polynomial entries? :confused: Can give me an example to give me a head start? Many thanks!
 
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Yes, it is the set of all 2x2 matrices whose elements are real polynomials. Start with: http://mathworld.wolfram.com/VectorSpace.html" .
 
Last edited by a moderator:
radou said:
Yes, it is the set of all 2x2 matrices whose elements are real polynomials. Start with: http://mathworld.wolfram.com/VectorSpace.html" .

Thanks :smile:

Is it something like this?

http://i10.tinypic.com/48qhc1w.jpg
 
Last edited by a moderator:
elle said:
Thanks :smile:

Is it something like this?

http://i10.tinypic.com/48qhc1w.jpg

Yes, it's exactly something like this. :smile: Now just look at the definition of a vector space and at the properties that the addition and scalar multiplication must satisfy to proove if it's a vector space or not.
 
radou said:
Yes, it's exactly something like this. :smile: Now just look at the definition of a vector space and at the properties that the addition and scalar multiplication must satisfy to proove if it's a vector space or not.

thanks for the confirmation again :smile:

Ok hmm I don't know if I'm on the right track but do I have to have two different matrices? Let's say matrix A and matrix B where A has elements:

http://i10.tinypic.com/4g7c4lj.jpg

and B with similar elements in order to check whether they satisfy closure by addition and multiplication? Or have I interpreted the definition totally wrong? :rolleyes:
 
elle said:
thanks for the confirmation again :smile:

Ok hmm I don't know if I'm on the right track but do I have to have two different matrices? Let's say matrix A and matrix B where A has elements:

http://i10.tinypic.com/4g7c4lj.jpg

and B with similar elements in order to check whether they satisfy closure by addition and multiplication? Or have I interpreted the definition totally wrong? :rolleyes:

You're on the right track.
 
radou said:
You're on the right track.

Thanks :smile:

I've just noticed that I've chosen specific polynomials for my matrix entries so is that wrong? what would the matrix look like with general polynomial entries if a degree isn't given? Hmm am i making any sense here :rolleyes:
 
elle said:
Thanks :smile:

I've just noticed that I've chosen specific polynomials for my matrix entries so is that wrong? what would the matrix look like with general polynomial entries if a degree isn't given? Hmm am i making any sense here :rolleyes:

You don't have to write down specific polynomials as entries in your matrix. It is enough to write down something like [tex]\left(\begin{array}{cc}p_{1} & p_{2}\\p_{3} & p_{4}\end{array}\right)[/tex], where [tex]p_{i}, i = 1, \cdots, 4[/tex] are your real polynomials, which is the only thing that matters, unlike their degrees.
 

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