Vector space of polynomials problem

In summary, we have a set of four vectors in the vector space of polynomials 1+x^3, 1-x+x^2, 2x, and 1+x^2. To determine if they are linearly dependent or independent, we set up a system of equations and solve for the variables. In this case, we find that there is no unique solution and we can express the other variables in terms of beta. This means that the vectors are linearly dependent. To find the dimension of the vector space spanned by these vectors, we can use the number of independent vectors, which in this case is 3 since we can express one vector in terms of the others.
  • #1
captainjack2000
99
0
1. Consider the vector space of polynomials 1+x^3 , 1-x+x^2, 2x, 1+x^2
Are they linearly dependent or independent? dimension of vecotr space spanned by these vectors?

3. I have tried to solve this by letting
a1 = 1+x^3
a2 = 1-x+x^2
a3 = 2x
a4 = 1+x^2

Then I let
(alpha)a1 + (beta)a2 + (gamma)a3 + (delta)a4 = 0
(alpha)(1+x^3) + (beta)(1-x+x^2) + (gamma)(2x) +(delta)(1+x^2) = 0
(alpha +beta+delta) + x(2gamma - beta) + x^2(beta + delta) + x^3(alpha) = 0

So alpha + beta+ delta = 0
2gamma - beta = 0
beta + delta = 0
alpha = 0

But I can't solve for beta delta and gamma so how do I know if their independent or dependent?
 
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  • #2
There's no unique solution, so you'll have to write the solution in terms of some of your other variables. In this case it looks easy to solve for the other variables in terms of beta. Then ask yourself if there are any nonzero solutions.
 
  • #3
Vectors!

In that case beta = -delta
and gamma = beta/2
and alpha = 0

How can you tell if they are non-zero?
How do you find the dimension?
 
  • #4
That gives you a solution for every value of beta. So putting beta=1 tells you what about linear independence?
 

1. What is a vector space of polynomials?

A vector space of polynomials is a set of polynomials that satisfy certain properties, such as closure under addition and scalar multiplication. In other words, it is a space where polynomials can be added together and multiplied by constants to create new polynomials.

2. What are the basic properties of a vector space of polynomials?

The basic properties of a vector space of polynomials include closure under addition and scalar multiplication, associativity and commutativity of addition, and distributivity of scalar multiplication over addition.

3. How can a vector space of polynomials be represented graphically?

A vector space of polynomials can be represented graphically as a set of points in n-dimensional space, where n is the degree of the polynomial. Each polynomial can be represented as a vector, with the coefficients being the components of the vector.

4. What is the dimension of a vector space of polynomials?

The dimension of a vector space of polynomials is equal to the highest degree of the polynomials in the space. For example, if all the polynomials in the space are of degree 3, then the dimension is 3.

5. How can vector spaces of polynomials be useful in real-life applications?

Vector spaces of polynomials have various real-life applications, such as in signal processing, computer graphics, and engineering. They can be used to model and analyze complex systems and data, and can also be used to solve equations and make predictions in these fields.

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