For each real linear space below, find

In summary, you need to find a set of vectors (polynomials) that span all polynomials of degree 2 such that 2 is a root for the polynomial. This can be done by finding polynomials so that every other polynomial of this kind is a linear combination of those.
  • #1
Jamin2112
986
12

Homework Statement



For each real linear space below, find a basis and its dimension.

[...]

(c) {2nd degree polynomials p such that p(2) = 0}

Homework Equations



Definition of basis and dimension.

The Attempt at a Solution




So, we know that

p(x) = ax2 + bx + c
and
p(2) = 0 = 4a + 2b + c

so that we have

p(x) = ax2 + bx - 4a -2b.

But where do I go from here?
 
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  • #2
Jamin2112 said:

Homework Statement



For each real linear space below, find a basis and its dimension.

[...]

(c) {2nd degree polynomials p such that p(2) = 0}

Homework Equations



Definition of basis and dimension.

The Attempt at a Solution




So, we know that

p(x) = ax2 + bx + c
and
p(2) = 0 = 4a + 2b + c

so that we have

p(x) = ax2 + bx - 4a -2b.

But where do I go from here?

Try writing it as a(x2-4) + b(x-2)
 
  • #3
LCKurtz said:
Try writing it as a(x2-4) + b(x-2)

Done.

Now what?
 
  • #4
the question is asking you to find a set of vectors ( polynomials) that span all polynomials of degree 2 such that 2 is a root for the polynomial. In other words, you need to find polynomials so that every other polynomial of this kind is a linear combination of those.. in other words, the answer is looking right at you :)
 
  • #5
wisvuze said:
the question is asking you to find a set of vectors ( polynomials) that span all polynomials of degree 2 such that 2 is a root for the polynomial. In other words, you need to find polynomials so that every other polynomial of this kind is a linear combination of those.. in other words, the answer is looking right at you :)

I have p(x) = a(x2-4)+b(x-2)

a and b can be any real number, so I really have an infinite set

{p1(x) = a1(x2-4)+b1(x-2), p2(x) = a2(x2-4)+b2(x-2), p3(x) = a3(x2-4)+b3(x-2), ...}

I'm not sure where this is going in terms of basis, span, etc.
 
  • #6
Yes, of course. Every vector space contains an infinite number of vectors. The whole point of a basis is to be able to write them, in a unique way, in terms of finite (or at least smaller) set of vectors- the basis.

You now know that any vector in your first set can be written as [itex]ax^2+ bx- 4a- 2b= a(x^2- 4)+ b(x- 2)[/itex]. Therefore, every such vector can be written as a linear combination of what two basis vectors? What is the dimension of that space?
 
  • #7
HallsofIvy said:
Yes, of course. Every vector space contains an infinite number of vectors. The whole point of a basis is to be able to write them, in a unique way, in terms of finite (or at least smaller) set of vectors- the basis.

You now know that any vector in your first set can be written as [itex]ax^2+ bx- 4a- 2b= a(x^2- 4)+ b(x- 2)[/itex]. Therefore, every such vector can be written as a linear combination of what two basis vectors? What is the dimension of that space?

The basis vectors would be (x2 - 4) and (x - 2), the dimension being 2. Right?
 
  • #8
Jamin2112 said:
The basis vectors would be (x2 - 4) and (x - 2), the dimension being 2. Right?

It will be 2 if the two basis vectors are independent. Have you checked that?
 
  • #9
LCKurtz said:
It will be 2 if the two basis vectors are independent. Have you checked that?

They most definitely are independent.
 
  • #10
Jamin2112 said:
The basis vectors would be (x2 - 4) and (x - 2), the dimension being 2. Right?

LCKurtz said:
It will be 2 if the two basis vectors are independent. Have you checked that?

Jamin2112 said:
They most definitely are independent.

Sure, and it's easy to show. But it is part of what you need to include in your proof.
 

1. What is a real linear space?

A real linear space is a mathematical structure that consists of a set of vectors and a set of scalars (usually real numbers) that can be multiplied together to produce new vectors. It follows the vector addition and scalar multiplication properties, making it a vector space over the field of real numbers.

2. How do you determine if a set of vectors forms a real linear space?

To determine if a set of vectors forms a real linear space, you need to check if the set satisfies the properties of a vector space. These properties include closure under vector addition and scalar multiplication, associativity, commutativity, existence of a zero vector, and existence of additive and multiplicative inverses.

3. What is the difference between a real linear space and a vector space?

A real linear space is a specific type of vector space where the scalars are real numbers. A vector space can have scalars from any field, while a real linear space is limited to only real numbers.

4. How do you find the dimension of a real linear space?

The dimension of a real linear space is the number of linearly independent vectors in the space. To find the dimension, you can use the rank-nullity theorem, which states that the dimension is equal to the rank of the space (number of linearly independent vectors) plus the nullity (dimension of the subspace spanned by the zero vector).

5. Can a real linear space have more than one basis?

Yes, a real linear space can have multiple bases. A basis is a set of linearly independent vectors that span the entire space. Since there can be multiple sets of linearly independent vectors that span the same space, there can be multiple bases for a real linear space.

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