Do Functions with Specific Boundary Conditions Form a Vector Space?

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Homework Help Overview

The discussion revolves around whether certain sets of functions defined on the interval 0 ≤ x ≤ L, specifically those that vanish at the endpoints, periodic functions, and functions with specific values at the endpoints, can be classified as vector spaces. The original poster expresses confusion about the properties of vector spaces in relation to these functions.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the properties of vector spaces, questioning whether the null function and the results of function addition and scalar multiplication meet the criteria for vector spaces. The original poster raises concerns about the nature of functions versus numbers when evaluating sums at specific points.

Discussion Status

Some participants have provided clarifications regarding the properties that need to be checked for vector spaces, while others are still grappling with the implications of defining function addition and scalar multiplication. There is an ongoing exploration of the definitions and assumptions involved.

Contextual Notes

Participants are discussing the implications of specific boundary conditions and the definitions of vector operations in the context of functions, which may lead to differing interpretations of whether certain sets qualify as vector spaces.

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Homework Statement


"Consider all functions f(x) defined in an interval 0[tex]\leq[/tex]x[tex]\leq[/tex]L. We define scalar multiplication by a simply as af(x) and addition as pointwise addition: the sum of two functions f and g has the value f(x)+g(x) at the point x. The null function is simply zero everywhere and the additive inverse of f is -f.
Do functions that vanish at the end points x=0, x=L form a vector space? How about periodic functions obeying f(0)=f(L)? How about functions that obey f(0)=4? If the functions do not qualify, list the things that go wrong"

Homework Equations


Definition of vector space, features of vector sum and scalar multiplication and some axioms.


The Attempt at a Solution


This is a bit confusing to me so I'll be glad if some can clarify this for me.
Some of the properties seem to agree with the definition of vector space (scalar multiplication, null function, the inverse of f) . What I find confusing is the argument x. After the sum of two functions for example I no longer get a new one just because the sum is evaluated at the point x, thus I no longer get an abstract object like a matrix or some sort of vector but I get a number. If on the other hand the sum would be defined through all x that would seem to make more sense as we would get another function.
I don't see a problem with functions vanishing at the ends of the interval, they still might represent a vector space as long as the definition of the sum is changed ( as explained earlier). However, I do think there is a problem with f(0)=4 since we do get a number.

thanks
 
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It's just a matter of checking the properties of a vector space. For example, in the first one:
1) Does the null function vanish at the end points?
2) If f and g vanish at the end points, does f + g?
3) If f vanishes at the end points, does af (for a some number)?
 
CompuChip said:
It's just a matter of checking the properties of a vector space. For example, in the first one:
1) Does the null function vanish at the end points?
2) If f and g vanish at the end points, does f + g?
3) If f vanishes at the end points, does af (for a some number)?

thanks. Yes, this far I understand. But what about my arguments?
 
The sum of two functions is again a function.
Suppose you have a vector space V of functions on some set D. That is, if f and g are elements of V, then they are both functions on D.
Now we want to "add" these functions and call the result "f + g" (we might as well have written it "s"). Since "f + g" is a function, we need to specify its values, that is: give a prescription. Now we say that the "f + g" is the function, which takes the value f(x) + g(x) in every point x of D.

For example, if [tex]f = (x \mapsto x^2), g = (x \mapsto \sqrt{x})[/tex] then f + g is the function [tex]x \mapsto x^2 + \sqrt{x}[/tex]. If [tex]h = (x \mapsto -x^2)[/tex], then f + h is the null function [tex]0 = (x \mapsto 0)[/tex] (note: the "0" denoting the null function is a function, it assigns the number 0 from the codomain to every x in D).
 
Oh, this becomes clearer or at least I hope so. But I am still confused about the part where I have to specify the values of the function. I realize that otherwise I won't be able to get the null function but other than that I don't see a problem
 
I do not know how this fellow also got stuck with the same problem...however,if people are interested,my post may also be referred to...
 
:) Thanks neelakash. I'll look into it
 

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