Vector Space Help: Understanding Notation & Polynomials

In summary: In other words, you can use any polynomial as an entry in your matrix, as long as it has the same degree as the other polynomials in the matrix.
  • #1
elle
91
0
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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  • #2
Yes, it is the set of all 2x2 matrices whose elements are real polynomials. Start with: http://mathworld.wolfram.com/VectorSpace.html" .
 
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  • #3
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
 
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  • #4
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.
 
  • #5
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:
 
  • #6
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.
 
  • #7
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:
 
  • #8
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.
 

FAQ: Vector Space Help: Understanding Notation & Polynomials

What is a vector space?

A vector space is a mathematical structure that consists of a set of vectors and a set of operations (such as addition and scalar multiplication) that can be applied to these vectors. It is used to represent and manipulate mathematical objects, such as geometric figures and physical quantities.

What is the notation used in vector spaces?

The notation used in vector spaces typically involves using bold letters to represent vectors, such as v, w, x, etc. The elements of a vector are represented using subscripts, such as v1, v2, v3, etc. Additionally, the notation for scalar multiplication involves using a scalar value, such as c, multiplied by a vector.

How are polynomials represented in vector spaces?

Polynomials can be represented as vectors in a vector space by using the coefficients of each term as the elements of the vector. For example, the polynomial 3x2 + 2x + 5 can be represented as the vector (3, 2, 5) in a three-dimensional vector space.

What is the difference between a basis and a dimension in a vector space?

A basis is a set of vectors that can be used to represent any vector in a vector space through linear combinations. The dimension of a vector space is the number of vectors in its basis. In other words, it is the minimum number of vectors needed to create any vector in the space.

How are vector operations performed in a vector space?

Vector operations, such as addition and scalar multiplication, are performed by applying the operations to each element of the vector. For example, if we have two vectors v = (3, 2, 5) and w = (1, 4, 6), their sum would be v + w = (4, 6, 11). Scalar multiplication would involve multiplying each element of the vector by the scalar value, such as 2v = (6, 4, 10).

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