What is the Basis and Dimension of a Polynomial Space with a Specific Condition?

In summary, the subspace of all polynomials f(t) in P2 such that f(1) = 0 has a basis of {1-t, 1-t^2} and a dimension of 2. This can be derived by finding linearly independent combinations of {1, t, t^2} that satisfy f(1) = 0 and using the condition a+b+c = 0 to compute the dimension.
  • #1
Inirit
16
0
Got another linear space question. I'm getting closer to understanding what's going on, but I'm not there yet.

Homework Statement


Find a basis for the space and determine its dimension.

The space of all polynomials f(t) in P2 such that f(1) = 0.


Homework Equations



The Attempt at a Solution


The dimension is trivial, it's just the number of elements in the basis. It's finding the basis that I am lost with. So far I understand that the general form of P2 is a+bx+cx^2, and that if f(1) = 0, then a+b+c = 0. From here I am not sure how to derive a basis. I expressed each coefficient as a combination of the other two, but I don't know what to do with that or if it even helps. I know that the basis of the space P2 is {1,t,t^2}, but I don't know what to do with that either.
 
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  • #2
The basis elements must also satisfy f(1)=0. Find linearly independent combinations of {1,t,t2} that have that property.
 
  • #3
Really? So the independent combinations would be 1-t and 1-t^2, right? Therefore, the basis would be {1-t,1-t^2}, which would have a dimension of 2.
 
  • #4
Inirit said:
Really? So the independent combinations would be 1-t and 1-t^2, right? Therefore, the basis would be {1-t,1-t^2}, which would have a dimension of 2.

Are you convinced that the subspace has dimension 2? Could t2 - t be in the basis?
 
  • #5
t^2 - t is a linear combination of 1 - t and 1 - t^2 because 1(1 - t) - 1(1 - t^2) = t^2 - t, therefore it's merely within the space and doesn't form part of the basis.

...Right?
 
  • #6
hint: by unique factorization of your polynomial for its given zero points your space looks as follows:

[tex] \{a(t - 1)(t - b) : a, b \in \textbf{R} \mbox{ where } a \ne 0\} {\cup}
\{a(t - 1): a \in \textbf{R} \mbox{ where } a \ne 0\} {\cup}
\{1\}[/tex]

[I assume your polynomials are real valued]
 
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  • #7
Inirit said:
t^2 - t is a linear combination of 1 - t and 1 - t^2 because 1(1 - t) - 1(1 - t^2) = t^2 - t, therefore it's merely within the space and doesn't form part of the basis.

...Right?

That's right. You can also use the condition a+b+c = 0 that you found before to compute the dimension of the subspace.
 

FAQ: What is the Basis and Dimension of a Polynomial Space with a Specific Condition?

What is the basis of a linear space?

The basis of a linear space is a set of linearly independent vectors that span the entire space. This means that any vector in the space can be expressed as a linear combination of the basis vectors.

Why is the basis of a linear space important?

The basis of a linear space is important because it allows us to represent any vector in the space in a unique way. It also helps us understand the structure of the space and perform calculations more easily.

How do you find the basis of a linear space?

To find the basis of a linear space, we need to first find a set of linearly independent vectors that span the space. This can be done by solving a system of linear equations or using other methods such as Gaussian elimination.

Can a linear space have more than one basis?

Yes, a linear space can have multiple bases. However, all bases for a given linear space will have the same number of vectors, known as the dimension of the space.

What is the relationship between a basis and a coordinate system?

A basis is used to define a coordinate system in a linear space. The basis vectors act as the axes of the coordinate system, and any vector in the space can be represented using coordinates with respect to this basis.

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