Spanning Vector Spaces with Trigonometric Functions

In summary, the conversation discusses the question of whether there is any difference between the vector space spanned by the set cos(t),sin(t) and the vector space spanned by the set cos(t)+sin(t),cos(t)-sin(t). The conversation includes a discussion of the definition of "span" and provides an example to demonstrate that the two vector spaces are equivalent. It concludes with the understanding that the two vector spaces are the same.
  • #1
ssb
119
0

Homework Statement



Is there any difference between the vector space spanned by the set cos(t),sin(t) and the vector space spanned by the set cos(t)+sin(t),cos(t)-sin(t)?

Homework Equations





The Attempt at a Solution



Not really a homework question but it will help me answer a problem set given to me by my teacher. I would have to guess that the answer is that there is no difference because of the behavior of sin. if it begins at any place on a number line it doesn't matter if its going in the positive or negative direction, it will still travel the other way in the manor that of which if its sign was reversed...

im sorry if that doesn't make sense. I hope someone who reads this will understand what I mean.
 
Physics news on Phys.org
  • #2
I can't figure out what you are thinking -- but there is no linear algebra in your solution, so it's clearly not a solution.

Maybe... before trying to answer the question, you should spend some effort stating the question? Mathematically, what are you given, and what are you trying to show?
 
  • #3
The exact word for word question given to me by my teacher is

"Is there any difference between the vector space spanned by the set cos(t),sin(t) and the vector space spanned by the set cos(t)+sin(t),cos(t)-sin(t)?"

But he's not asking us to answer that question directly... but for all intensive purposes he might as well be.

What I mean when I try to describe the situation is if you are given sin(x), it doesn't matter where on X you begin graphing sin(x) because it will always cover the same places. You could start at 5 and graph to zero. You could start at zero and graph to 5. The end result would be 2 graphs that look the exact same. That was why I believed that the answer was no because of the properties of Sin.
 
  • #4
ssb said:
But he's not asking us to answer that question directly... but for all intensive purposes he might as well be.

I think you mean "for all intents and purposes". :wink:

Here's an example that might help.

Consider the standard basis of [itex]P_2[/itex]: [itex]\left\{1,x,x^2\right\}[/itex]. Does the set [itex]\left\{1,x+1,x^2-1\right\}[/itex] span [itex]P_2[/itex] as well?

You need to go back to the definition of "span". The span of a set of vectors is the set of all possible linear combinations of those vectors. A general linear combination from my first set would be:

[itex]p(x)=a_2x^2+a_1x+a_0[/itex],

where the coefficients come from some field. Now let's write down a general linear combo from my second set:

[itex]b_2\left(x^2-1\right)+b_1(x+1)+b_0[/itex].

We can rearrange that as follows:

[itex]b_2x^2+b_1x+(-b_2+b_1+b_0)[/itex].

Note that the coefficients are arbitrary elements of the field over which the vector space is defined. So we are free to rename them as follows:

[itex]b_2 \rightarrow a_2[/itex]
[itex]b_1 \rightarrow a_1[/itex]
[itex](-b_2+b_1+b_0) \rightarrow a_0[/itex]

Do that, and the second linear combo becomes identical to the first. So yes, the second set does span [itex]P_2[/itex].

Understand?
 
Last edited:
  • #5
Tom Mattson said:
I think you mean "for all intents and purposes". :wink:

Here's an example that might help.

Consider the standard basis of [itex]P_2[/itex]: [itex]\left\{1,x,x^2\right\}[/itex]. Does the set [itex]\left\{1,x+1,x^2-1\right\}[/itex] span [itex]P_2[/itex] as well?

You need to go back to the definition of "span". The span of a set of vectors is the set of all possible linear combinations of those vectors. A general linear combination from my first set would be:

[itex]p(x)=a_2x^2+a_1x+a_0[/itex],

where the coefficients come from some field. Now let's write down a general linear combo from my second set:

[itex]b_2\left(x^2-1\right)+b_1(x+1)+b_0[/itex].

We can rearrange that as follows:

[itex]b_2x^2+b_1x+(-b_2+b_1+b_0)[/itex].

Note that the coefficients are arbitrary elements of the field over which the vector space is defined. So we are free to rename them as follows:

[itex]b_2 \rightarrow a_2[/itex]
[itex]b_1 \rightarrow a_1[/itex]
[itex](-b_2+b_1+b_0) \rightarrow a_0[/itex]

Do that, and the second linear combo becomes identical to the first. So yes, the second set does span [itex]P_2[/itex].

Understand?

WHAHOO! Thanks buddy.
 

FAQ: Spanning Vector Spaces with Trigonometric Functions

What is a spanning vector space in trigonometry?

A spanning vector space in trigonometry is a collection of all possible linear combinations of a set of vectors in the trigonometric coordinate system. This means that any point in the coordinate system can be expressed as a combination of the basis vectors.

How is a spanning vector space different from a subspace in trigonometry?

A spanning vector space includes all possible linear combinations of a set of vectors, while a subspace only includes the vectors themselves and their scalar multiples. In other words, a subspace is a smaller subset of a spanning vector space.

Can a spanning vector space have more than one basis?

Yes, a spanning vector space can have multiple bases. This is because there can be different sets of vectors that can be used to express any point in the space. However, all bases for the same spanning vector space will have the same number of vectors.

What is the purpose of finding a spanning vector space in trigonometry?

Finding a spanning vector space can be useful in solving problems involving trigonometric functions. It allows us to express any point in the space as a combination of a set of basis vectors, making it easier to work with and manipulate trigonometric equations.

How is the dimension of a spanning vector space determined?

The dimension of a spanning vector space is determined by the number of vectors in its basis. For example, a spanning vector space with a basis of three vectors will have a dimension of three, meaning it can be represented in a three-dimensional coordinate system.

Similar threads

Back
Top