Does this set of polynomials form a vector space?

In summary, the set of all polynomials (with complex coefficients) of degree less than N in x forms a vector space. The zero vector is the polynomial with all coefficients = 0 and the inverse vector has coefficients with opposite sign. The basis vectors are {xn} for n = 0, 1, 2, ..., N-1. The dimension of the space is N as there are N basis vectors. If the polynomials are even functions, then each polynomial has only terms with even powers. If the polynomials are required to have the value 0 at x = 1, then the set is not a vector space. If the polynomials are required to have the value 1
  • #1
spaghetti3451
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34

Homework Statement



Consider the collection of all polynomials (with complex coefficients) of degree < N in x.

a) Does this set constitute a vector space? If so, suggest a convenient basis, and give the dimension of the space. If not, which of the defining properties does it lack?

b) What if we require that the polynomials be even functions?

c) What if we require that the leading coefficient (the number multiplying xN-1) be 1?

d) What if we require that the polynomials have the value 0 at x = 1?

e) What if we require that the polynomials have the value 1 at x = 0?

Homework Equations



The Attempt at a Solution



a) I think it does constitute a vector space: the set is closed under addition and scalar multiplication. The zero vector is the polynomial with all coefficients = 0 and the inverse vector has coefficients with opposite sign.

The basis vectors are {xn} for n = 0, 1, 2, ..., N-1.

The dimension of the space = N as there are N basis vectors.

b) if the polynomials are even functions, then each polynomial has only terms with even powers. Again, this set would satisfy the properties that define a vector space.

c) In this case, if we add two of them, the leading coefficient becomes 2, so the set is not a vector space.

d) Let's picture a graph of a polynomial. The only constraint on the trajectory of the curve is that the graph cuts the x-axis at x = 1. if we add two polynomials, the resultant polynomial still cuts the x-axis at x = 1. if we multiply the polynomial by a scalar, the resultant polynomial still cuts the x-axis at x = 1. The zero evctor is the zero polynomial and the inverse vector is the inverse polynomial. So, it's a vector space.

e) This time, if we add two polynomials, the resultant polynomial has y = 2 at x = 0, so clearly not a vector space.

I am hoping someone could provide feedback on the solution.

I woul be so happy if you do!
 
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  • #2
It looks to me like you understand correctly which are vector spaces and which aren't. That's good. But if this is a problem you intend to hand in, you would need to justify your assertions with equations, even if it is real easy.
 
  • #3
Thanks!
 

Related to Does this set of polynomials form a vector space?

1. What is a vector space problem?

A vector space problem is a mathematical problem that involves finding a solution or set of solutions within a vector space. A vector space is a mathematical structure that consists of a set of objects (vectors) and operations that can be performed on those objects.

2. What are the key components of a vector space problem?

The key components of a vector space problem include the vector space itself, the set of vectors involved in the problem, the operations that can be performed on the vectors, and the desired solution(s).

3. How are vector space problems used in science?

Vector space problems are used in many areas of science, including physics, engineering, and computer science. They are particularly useful for representing physical quantities, such as forces and velocities, and for solving complex mathematical equations and models.

4. What are some common techniques for solving vector space problems?

Some common techniques for solving vector space problems include vector addition, scalar multiplication, and linear combination. Other techniques such as dot product, cross product, and matrix operations may also be useful depending on the specific problem.

5. What are some real-world applications of vector space problems?

Vector space problems have many real-world applications, such as in navigation systems, computer graphics, and machine learning. They are also used in fields such as economics, biology, and statistics to model and solve complex problems.

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