Proving Basis of Dual Space: V* in P_n(F)

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Homework Help Overview

The problem involves proving that the set of functionals {f_0, f_1,..., f_n} defined on the polynomial space V = P_n(F) forms a basis for the dual space V*. The functionals are defined by evaluating polynomials at distinct scalars c_0, c_1,..., c_n in the field F.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the definition of a basis, focusing on linear independence and the requirement for spanning the space. There is uncertainty about how the hint relates to proving linear independence and the role of the polynomial defined by the roots c_i.

Discussion Status

Some participants are exploring the definitions and properties of a basis, particularly linear independence. There is an ongoing examination of how to apply the hint provided in the problem statement to demonstrate the necessary conditions for the functionals to form a basis.

Contextual Notes

Participants express confusion regarding the implications of the hint and the selection of a linear combination that results in the zero transformation. There is a focus on understanding the relationship between the functionals and the polynomial defined by the distinct scalars.

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Homework Statement



Let V = P_n(F), and let c_0, c_1,..., c_n be distinct scalars in F. For 0 <= i <= n, define f_i(p(x)) = p(c_i). Prove that {f_0, f_1,..., f_n} is a basis for V*. Hint: Apply any linear combination of this set that equals the zero transformation to p(x) = (x-c_1)*(x-c_2)*...*(x-c_n), and deduce that the first coefficient is zero.

Homework Equations


The Attempt at a Solution



I really have no clue where to start on this one. First off, I don't even see how doing what the hint says would prove it to be a basis. Is the hint implying that these scalars are the roots of the polynomial? Also I'm not sure how I would pick a linear combination of the set that equals 0. I was thinking of using c_i - a*c_j, where a is just another scalar which causes a*c_j = c_i, so that it equals zero and the resulting transformation equals zero. Not too sure about that reasoning though, and how it would play into the hint the book gives.
 
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OK, let's do this thing. Don't think about the hint just yet. First, we'll start of with some definitions. What exactly is a basis of a vector space? This will be what we'll try to prove...
 
ok so yeah, a basis is a set of vectors that are linearly independent. so if {f_0,...,f_n} is a basis then a_0f_0 + a_1f_1 + ... + a_nf_n = 0 if and only if a_0, a_1, ..., a_n are all zero, right?
 
jclawson709 said:
ok so yeah, a basis is a set of vectors that are linearly independent.

Hmm, that's a start but it's not completely true. A basis is certainly a set of linearly independent vectors, BUT there's another very important requirement: you will want the vectors to span the space! But let's not deal with spanning the space just now, let's focus on the linearly independent part:

so if {f_0,...,f_n} is a basis then a_0f_0 + a_1f_1 + ... + a_nf_n = 0 if and only if a_0, a_1, ..., a_n are all zero, right?

Right, so you take a_0,...,a_n such that a_0f_0+...a_nf_n=0. Our aim is to show that a_0=...=a_n=0.

This is where the hint comes in, in order to show that a_0=...=a_n=0, you'll want to define the polynomial p(x)=(x-c_1)...(x-c_n). Now, calculate what (a_0f_0+...+a_nf_n)(p(x)) equals.
 

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