Find a basis and dimension of a vector space

In summary, the task is to find the basis and dimension of four vector spaces: V, W, V∩W, and V+W, where V is the set of polynomials in R4(x) with certain conditions, W is the set of polynomials in R4(x) with another condition, and the homework involves using vector spaces to solve this problem. The conversation includes hints and clarifications on how to approach the problem.
  • #1
gruba
206
1

Homework Statement


Find basis and dimension of [itex]V,W,V\cap W,V+W[/itex] where [itex]V=\{p\in\mathbb{R_4}(x):p^{'}(0) \wedge p(1)=p(0)=p(-1)\},W=\{p\in\mathbb{R_4}(x):p(1)=0\}[/itex]

Homework Equations


-Vector spaces

The Attempt at a Solution


Could someone give a hint how to get general representation of a vector in [itex]V[/itex] and [itex]W[/itex]?
 
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  • #2
Look in your course notes when it talks about "general representation of a vector".
You have definitions of the vector spaces - so start with what the symbols turn into in English.
 
  • #3
I'm not sure what the operator ^ means in the definition of ##V## so I can't help.
For ##W##, you can notice that ##W = (X-1) \mathbb{R}_3[X] ## is isomorphic to ##\mathbb{R}_3[X]##, so what can you say about the dimension of 2 isomorphic vector spaces ? Secondly, a vector space isomorphism sends a base to a base.
 
  • #4
The only thing I have a question about is "p'(0)^p(1)= p(0)= p(-1)". The "^" typically means "and" so one condition is that p(1)= p(0)= p(-1) but the "p'(0)" is incomplete- nothing is said about the derivative at 0. What must be true about it? p in [itex]R^4[/itex] is of the form [itex]ax^4+ bx^3+ cx^2+ dx+ e[/itex] and "p(1)= p(0)= p(-1)" requires that [itex]a+ b+ c+ d+ e= e= a- b+ c- d+ e[/itex]. But, again, what is required of "p'(0)= d"?
 

Related to Find a basis and dimension of a vector space

1. What is a basis of a vector space?

A basis of a vector space is a set of linearly independent vectors that span the entire vector space. This means that any vector in the space can be written as a unique combination of the basis vectors using scalar multiplication and vector addition.

2. How do you find a basis of a vector space?

To find a basis of a vector space, you first need to identify the linearly independent vectors in the space. This can be done by using the method of Gaussian elimination or by using the Rank-Nullity theorem. Once you have identified the linearly independent vectors, you can combine them to form a set that spans the entire space, which will be the basis.

3. What is the dimension of a vector space?

The dimension of a vector space is the number of vectors in its basis. This is also equal to the number of coordinates needed to uniquely represent any vector in the space.

4. Can a vector space have multiple bases?

Yes, a vector space can have multiple bases as long as they satisfy the criteria of being linearly independent and spanning the entire space. However, the dimension of the vector space will remain the same regardless of the choice of basis.

5. How can the dimension of a vector space be determined?

The dimension of a vector space can be determined by finding the number of vectors in its basis. This can be done by using the method of Gaussian elimination or by using the Rank-Nullity theorem.

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