Determine whether the following are Vector Spaces

In summary, the conversation is discussing different mathematical concepts, such as the set of real polynomials divisible by a specific polynomial, differentiable functions on a given interval, and functions with a certain property. The first two concepts are understood, but there is confusion about the third concept and clarification is needed. The conversation ends with a question about the given property and its application to a specific function.
  • #1
Smazmbazm
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Homework Statement



a) The set of real polynomials of [itex]x[/itex] divisible by [itex]x^2 + x + 1[/itex];
b) The set of differentiable functions of [itex]x[/itex] on [itex][0,1][/itex] whose derivative is [itex]3x^2[/itex]
c) all [itex]f \in F[0,2][/itex] such that [itex]x \geq |f(x)|[/itex] for [itex]0 \leq x \leq 2[/itex]

The Attempt at a Solution



a) Yes, it's a vector space, proven with addition and scalar multiplication

b) I don't really understand what the question is saying, can someone explain to me? A function that differentiates to [itex]3x^2[/itex] is [itex]x^3[/itex]. Now what?

c) Same goes for this part, not sure what the question is saying

Thanks in advanced.
 
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  • #2
(b) That is not all the functions that differentiate to ##3x^2##
(c) Try telling us what you think it's saying so we can see where the confusion lies.
 
  • #3
f(x)= (2/3)x has the property that x> |f(x)|.

What about 5f(x)?
 

1. What is a vector space?

A vector space is a mathematical structure consisting of a set of objects, called vectors, and two operations, vector addition and scalar multiplication, that satisfy certain properties. These properties include closure, commutativity, associativity, existence of an identity element, and existence of inverse elements.

2. What are the requirements for a set to be a vector space?

A set can be considered a vector space if it satisfies the following requirements:

  • The set has a well-defined addition operation, which is closed under vector addition.
  • The set has a well-defined scalar multiplication operation, which is closed under scalar multiplication.
  • The set contains the zero vector, which is the identity element for vector addition.
  • The set satisfies the commutative, associative, and distributive properties for vector addition and scalar multiplication.

3. How do you determine if a set is a vector space?

To determine if a set is a vector space, you must check if the set satisfies all the requirements for a vector space. This includes checking for closure, commutativity, associativity, existence of an identity element, and existence of inverse elements for both vector addition and scalar multiplication.

4. Can a set be a vector space if it does not contain the zero vector?

No, a set cannot be considered a vector space if it does not contain the zero vector. The zero vector is essential for satisfying the identity element property for vector addition.

5. Are there different types of vector spaces?

Yes, there are different types of vector spaces, including finite and infinite-dimensional vector spaces, real and complex vector spaces, and function spaces. Each type of vector space has its own set of properties and operations that define it.

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