Linearly Independence and Sets of Functions

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Homework Help Overview

The discussion revolves around the concept of linear independence in the context of sets of functions. Participants explore the definitions and implications of linear combinations of functions, particularly focusing on whether certain sets are linearly independent or dependent.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the conditions under which a set of functions is considered linearly independent, referencing the necessity of coefficients being zero in linear combinations. There are attempts to derive equations from specific function evaluations and to formalize the definitions of linear transformations.

Discussion Status

The conversation includes various interpretations of linear independence and the properties of linear transformations. Some participants provide guidance on formalizing the problem, while others express uncertainty about their approaches and seek clarification on specific steps.

Contextual Notes

There are indications of confusion regarding the definitions and properties of linear maps and vector spaces, as well as the need for formalization in the discussion of functions and transformations.

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Homework Statement



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The Attempt at a Solution


I don't think I'm really understanding this problem. Let me tell you what I know: A set is linearly independent if [itex]a_1 A_1 +...+a_n A_n = \vec0[/itex] for [itex]a_1,...,a_n \in R[/itex] forces [itex]a_1 = ...=a_n = 0[/itex]. If [itex]f,g,h[/itex] take any of the [itex]x_i \in S[/itex], then one of the [itex]f,g,h[/itex] will map that element of S to zero, and no set containing [itex]\vec0[/itex] can be linearly independent.

Somehow, however, I feel like I'm supposed to be arriving at the opposite conclusion.
 
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Okay, so these will be dependent if it is possible to have Af(x)+ Bg(x)+ Ch(x)= 0 for all x with at least one of A, B, C not equal to 0. Using the information given, [itex]Af(x_1)+ Bg(x_1)+ Ch(x_1)= A(0)+ B(1)+ C(1)= B+ C= 0.[/itex] Use the information given about [itex]x_2[/itex] and [itex]x_3[/itex] to get two more equations and solve for A, B, C.

It is certainly true that no set containing the 0 vector is independent but that is irrelevant to this problem since none of f, g, or h is the 0 vector.
 
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So, [itex]\vec0 = Af(x_2) + Bg(x_2) + Ch(x_2) = A +C[/itex] and [itex]\vec0 = Af(x_3)+ Bg(x_3) + Ch(x_3) = A+ B[/itex]. So we have equations [itex]A+B = B+C =A+C = 0[/itex], which necessitates that [itex]A=B=C=0[/itex]. Thus, the only way to get the set vector from a linear combination of f,g,h is with all-zero coefficients, meaning that the set is linearly independent.
 
You may want to formalize things some more if you feel confused, by formally making the space of (Real, I assume)-valued functions, into a vector space, choosing a basis and then testing.
 
Okay. I've made my discussion more "formalized" in my work. Thank you. Can I also get some help with this problem:

Screen_shot_2012_02_06_at_7_14_08_PM.png


Here's my work so far:

I know that a linear transformation must have the property: Let T take elements of V to elements of W such that T(A) +T(B) + T(A+B) for all A,B in V. Thus, I said, let c,f be elements of S. I need (I'll use "ψ" as my special character indicating the transformation in the problem),

ψ(T)(c) + ψ(T)(f) = T(χc) + T(χf) = T(χc + χf) = ψ(T)(c+f), so it passes addition. (Is that right? I'm not sure.) I also need rT(A) = T(rA) for all r in R. I write,

ψ(T)r(c) = T(r(χc)) = rT(χc) = r ψ(T)(c).

I'm not really sure that I'm doing these correctly. It would be most helpful if you could tell me what in particular is wrong with the approaches I attempt. That way, I think I will know both why the right way is right, and why the wrong way is wrong. Thanks!
 
Just to make sure: is L(Fun(S),R) the vector space of linear maps from Fun(S) into R?

If this is so, it may help re showing linearity.

And if you can show that your map is a linear bijection between vector spaces of the same

dimension, that shows you have an isomorphism.
 
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Actually, ψ is described as being linear in L(Fun(S),ℝ), not in S.

But you cannot declare it to be linear; linearity follows from the properties
of L(Fun(S),ℝ ), as well as from the definition of ψ .
 
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this problem is more complicated then it looks. let me help you "un-wrap" it:

φ:L(Fun(S),R)→Fun(S)

so the input for φ is an element of L(Fun(S),R), such as T:

φ:T→φ(T).

now φ(T) is in Fun(S), which means it takes elements of S to elements of R:

φ(T):s→φ(T)(s) = T(χs),

where χs is the characteristic function of s

(this would make more sense to me if it were χ{s}, as i am used to seeing characteristic functions defined on sets).

to show φ is linear, you need to show that if T and T' are 2 elements of L(Fun(S),R):

φ(T+T') = φ(T) + φ(T')
φ(cT) = cφ(T).

these are equalities of functions, so to prove they are equal functions, you need to show that for every s in S:

φ(T+T')(s) = φ(T)(s) + φ(T')(s)
φ(cT)(s) = cφ(T)(s).

to evaluate the functions given above, you determine if:

(T+T')(χs)

and T(χs) + T'(χs) are equal,

and similarly for the second equation.
 

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