Prove that three functions form a dual basis

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SUMMARY

The discussion centers on proving that three functions form a dual basis in the context of linear algebra, specifically within the dual space of polynomials. The participants clarify that the matrix representation of the functions, given by ##F_i(V_j) = (\frac{1}{j+1} \cdot m_i^{j+1})_{j,i}##, is correct and serves as a transformation matrix from the vector space E to its dual E*. The goal is to express any linear function in E* as a combination of the functions ##F_0, F_1, F_2##. The regularity of the matrix is crucial for establishing linear independence, which is necessary to confirm that these functions indeed form a basis.

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Homework Statement


Homework Equations

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The Attempt at a Solution


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From that point, I don't know what to do. How do I prove linear independence if I have no numerical values? Thank you.
 
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I think you made some mistakes with your indices calculating the ##F_i(p)##.
Can you tell what ##E^*## is? Do you know any basis of it?
Edit: However, your matrix ##F_i(V_j) = (\frac{1}{j+1} \cdot m_i^{j+1})_{j,i}## seems to be correct. Is it a transformation of basis, i.e. an isomorphism?
 
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Yeah, probably got confused with the different sub indices and I'm relatively new to latex, so yeah, sorry. But you said the matrix is correct, so...
That is the dual space of E, a basis can be easily constructed from n linearly independent functions, in this case, three.
And is it a transformation matrix from E \rightarrow E^* ?
 
I've thought it this way. ##E^*## is the vector space of all linear functions ##φ : ℝ^2[t] → ℝ##. The canonical basis of ##E## is ##\{1,t,t^2\}##. So the goal is to write any ##φ∈E^*## as a linear combination of ##F_0,F_1,F_2##, i.e. solve the linear equation ##φ=x_0F_0+x_1F_1+x_2F_2##, i.e. ##φ = (F_i(V_j))_{j,i} \vec{x}##.

In coordinates it is ##φ(1) = φ(1,0,0), φ(t) = φ(0,1,0), φ(t^2) = φ(0,0,1),## and it's a clearer (to me) to write ##F_i(p)=F_i(a_0,a_1,a_2)## instead.
To decide whether the ##F_i## form a basis you will probably need another property given at the beginning. You can either solve the linear equation(s) or find an argument why the matrix is regular.

(For further talk remind me please what is meant by anti-dual basis of ##B^*##. Is it a basis of ##(E^*)^*##?)
 
Yeah, but how do I go on about solving the system with no numbers? That is my main problem...
Also, why is the matrix being regular relevant? Doesn't that just mean that there is a number n such that the entries of A^n are all positive?
Also, the anti dual basis would be the basis for which B^* is the dual basis. Sorry about the confusing terms, I translated the problem from french.
 
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Alors. You have numbers, mainly the coordinates. Therefore I wrote e.g ##φ(t)=φ(0,1,0)## and ##F_i(p) = F_i(a_0,a_1,a_2)##. This gives you the equation
$$φ(t)=φ(0,1,0)=\sum_{i=0}^{i=3} x_i F_i(0,1,0)= \frac{1}{2} x_0 m_0^2 + \frac{1}{2} x_1 m_1^2 + \frac{1}{2} x_2 m_2^2$$ and similar the other two. You can also prove that your matrix above is regular. The three (fixed), and (pairwise) different ##m_i## are given constants. (Another triple would give you another basis, so you have to do the work in dependence of the ##m_i##.)

Edit: For the anti-dual basis you will have to find three linear independent polynomials ##p_j = ∑ a_i^{(j)}t^i## such that ##F_i(p_j)=F_i(a_0^{(j)},a_1^{(j)},a_2^{(j)})=δ_{ij}##.
 
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