Are Continuous Functions with Zero Integral a Subspace of C[a,b]?

In summary, the conversation discusses proving that the set of continuous functions on [a,b] with an integral of 0 is a subspace of C[a,b]. The definition of a subspace is mentioned, and the requirements for closure under addition and scalar multiplication are discussed. It is then confirmed that this is the case for the potential subspace in the example given. The only remaining requirement is to show that it is a subset, which is considered to be trivial in this case.
  • #1
gaborfk
53
0
Yet another problem I need to get some starting help on:

Show that the set of continuous functions f=f(x) on [a,b] such that [tex]\int \limits_a^b f(x) dx=0[/tex] is a subspace of C[a,b]
Thank you
 
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  • #2
I would start by checking the definition of subspace.
 
  • #3
Definition of subspace means that the functions are closed under addition and scalar multiplication
 
  • #4
gaborfk said:
Definition of subspace means that the functions are closed under addition and scalar multiplication

So can you show that that's true for the potential subspace in your example?
 
  • #5
You mean that if [tex]\int \limits_a^b f(x) dx=0[/tex] and [tex]\int \limits_a^b g(x) dx=0[/tex], can I prove that [tex]\int \limits_a^b f(x)+g(x) dx=0[/tex]? Also, if [tex]\int \limits_a^b f(x) dx=0[/tex] then [tex]k\int \limits_a^b f(x) dx=0[/tex]?
 
  • #6
Yeah, that's pretty much it. (Technically you also have to show that it's a subset, but in this case that's trivial.)
 
  • #7
Thank you!

The "hard ones" are so easy sometimes...
 

1. What is a subspace of functions?

A subspace of functions is a subset of a larger set of functions that satisfies the properties of a vector space. This means that it is closed under addition and scalar multiplication, and contains the zero vector.

2. What are some examples of subspaces of functions?

Some examples of subspaces of functions include the set of all polynomials, the set of all continuous functions, and the set of all differentiable functions. These sets all satisfy the properties of a vector space and are closed under addition and scalar multiplication.

3. How are subspaces of functions related to linear transformations?

Subspaces of functions are closely related to linear transformations, as they can be thought of as the range or image of a linear transformation. In fact, every subspace of functions can be represented as the range of a linear transformation.

4. Can a function be a subspace of itself?

No, a function cannot be a subspace of itself. A subspace must contain the zero vector, and a function cannot be equal to the zero vector. Additionally, a function must satisfy the properties of a vector space, and a single function does not have the necessary operations to do so.

5. How are subspaces of functions used in real-world applications?

Subspaces of functions have many applications in various fields, such as physics, engineering, and economics. They are used to model and analyze real-world phenomena, such as motion, heat flow, and market trends. By using subspaces of functions, scientists and researchers can gain insights and make predictions about these systems.

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