Project $e^x$ onto $P_2$ with the $L^2$ inner product on $[-1,1]$ using:
a) The monomial basis {$1, x, x^2$}.
b) The Legendre basis {$1,x,\frac{1}{2}(3x^2 - 1)$}.
Project $e^x$ onto $P_2$ with the $L^2$ inner product on $[-1,1]$ using:
a) The monomial basis {$1, x, x^2$}.
b) The Legendre basis {$1,x,\frac{1}{2}(3x^2 - 1)$}.
Let, $$ A_{nm} = \int_{-1}^1 x^n x^m dx, $$
write,
$$ e^x = \sum_{n=0}^2 c_n x^n + (\text{ higher order terms}) $$
our goal is to use the inner product formulas to determine the $c_n$'s. Multiply both sides by $x^p$ and integrate from $[-1,1]$ (this is the inner product with $x^p$).
$$\int_{-1}^1 x^p e^x dx= \int_{-1}^1 x^p \sum_{n=0}^2 c_n x^n dx + (\text{ higher order terms})$$
$$\int_{-1}^1 x^p e^x dx= \sum_{n=0}^2 \int_{-1}^1 x^p x^n dx c_n + (\text{ higher order terms})$$
$$\int_{-1}^1 x^p e^x dx= \sum_{n=0}^2 A_{pn} c_n + (\text{ higher order terms})$$
Define $E_p = \int_{-1}^1 x^p e^x$ and we have,
$$ E_p = \sum_{n=0}^2 A_{pn} c_n + (\text{ higher order terms}),$$
If we neglect the higher order terms we then have the following equation,
$$ E_p = \sum_{n=0}^2 A_{pn} c_n,$$
which can be written in matrix form,
$$ \boxed{E = A c}$$
The vector $E$ and the matrix $A$ are computed from integrals. The vector $c$ contains the unknown coefficients. You can solve for $c$ using ordinary matrix methods (I would do a Cholesky decomposition).
Once you know your function in terms of the monomials you can convert this to a representation in terms of Legendre polynomials using the following procedure.
Suppose we have,
$$ f(x) = 1 + 2 x + 3 x^2 $$
we want to write $f$ as a linear combination of Legendre polynomials. We start wiht the highest order term ($x^2$) and write it in terms of $P_2$.
$$P_2 = \frac12 ( 3 x^2 -1 ) \Leftrightarrow x^2 = \frac13(2P_2+1)$$
$$ f(x) = 1 + 2 x + 3 \frac13(2P_2+1) $$
$$ f(x) = 2 + 2 x + 2P_2 $$
$$ f(x) = 1 + 2 x + 2P_2 $$
$$ f(x) = 1 P_0 + 2 P_1 + 2P_2 $$
Then the projection of $f(x)$ onto $P_2$ is the coefficient $2$.
For part $(b)$ equation will be
$$e^x = \sum_{n=0}^2 c_n P_n(x) + (\text{higher order terms})$$
Multiply both sides by $P_m(x)$ and integrate over the interval $[-1,1]$.
$$e^x P_m(x) = \sum_{n=0}^2 c_n P_n(x) P_m(x) + (\text{higher order terms})$$
$$\int_{-1}^1 e^x P_m(x) \mathrm{d}x = \int_{-1}^1 \sum_{n=0}^2 c_n P_n(x) P_m(x) \mathrm{d}x + (\text{higher order terms})$$
$$\color{blue}{\int_{-1}^1 e^x P_m(x) \mathrm{d}x} = \sum_{n=0}^2 c_n \color{blue}{\int_{-1}^1 P_n(x) P_m(x) \mathrm{d}x} + (\text{higher order terms})$$
We will label the integral on the left as $E_m$ and the integral on the right as $A_{nm}$.
$$\color{blue}{E_m} = \sum_{n=0}^2 c_n \color{blue}{A_{nm}} + (\text{higher order terms})$$
Lets neglect the higher order terms.
$$E_m = \sum_{n=0}^2 c_n A_{nm} $$
This is equivalent to the matrix equation,
$$ E = A c$$