A problem on finding orthogonal basis and projection

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To find an orthogonal basis for the span of {x, x^2, x^3} using the inner product defined as the integral from 0 to 1, the Gram-Schmidt process can be applied. This method generates an orthogonal set of functions, ensuring that their inner products equal zero. Once the orthogonal basis is established, the projection of the function y = 3(x + x^2) onto this basis can be calculated using the projection formula for each basis vector. The process involves computing the necessary inner products and normalizing the basis vectors accordingly. The discussion emphasizes the importance of understanding both orthogonality and projection in the context of continuous functions on the interval [0, 1].
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Use the inner product <f,g> = integral f(x) g(x) dx from 0 to 1 for continuous functions on the inerval [0, 1]

a) Find an orthogonal basis for span = {x, x^2, x^3}

b) Project the function y = 3(x+x^2) onto this basis.
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I know the following:
Two vectors are orthogonal if their inner product = 0
A set of vectors is orthogonal if <v1,v2> = 0 where v1 and v2 are members of the set and v1 is not equal to v2
If S = {v1, v2, ..., vn} is a basis for inner product space and S is also an orthogonal set, then S is an orthogonal basis.

Regarding projection, I know that if W is a finite dimensional subspace of an inner product space V and W has an orthogonal basis S = {v1, v2, ..., vn} and that u is any vector in V then,
projection of u onto W = <u, v1> v1/||v1||^2 + <u, v2> v2/||v2||^2 + <u, v3> v3/||v3||^2 + ...<u, vn> vn/||vn||^2

I can calculate integrals, but I really do not know how to fit all these together for this problem. I am not sure how to start.
 
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