Compute $\mathbb{E}\big[\exp(XY+X)\big]$ where $X, Y$ are independent uniformly distributed over $[0,1]$ r.v's.
I first computed $\mathbb{E}\big[\exp(XY+X)\mid X\big]$.
Because $X$ and $Y$ are independent then $$\mathbb{E}\big[\exp(XY+X)\mid X\big] = \phi(X)\,,$$ where $$\phi(x) =\mathbb{E}\big[\exp(xY+x)\big] = \int_0^1 \exp(xy+x)dy = \frac{\exp x(\exp x - 1)}{x}.$$ so $$\mathbb{E}\big[\exp(XY+X)\big] = \int_0^1 \frac{\exp x(\exp x - 1)}{x} dx\,,$$ which I don't know how to compute.
Could someone check if I'm good till now and maybe help me continue? Thanks!
You have done great so far. But I dont think there is an elementary expression for the last integral. But you can note that the exponential integral $\operatorname{Ei}$ is given by $$\operatorname{Ei}(t)=\mathrel{-\!\!\!\!\!\!\;\!\!\int}_{-\infty}^{t}\frac{e^{s}}{s}ds.$$ (Here $\mathrel{-\!\!\!\!\!\;\!\!\int}$ is the Cauchy principal value integral.) In other words, $$\int\frac{e^{s}}{s}ds=\operatorname{Ei}(s)+C.$$ This also shows that $$\int\frac{e^{ks}}{s}ds=\operatorname{Ei}(ks)+C.$$
The required integral is \begin{align}I&=\int_0^1\frac{e^x(e^x-1)}{x}dx=\lim_{\epsilon\searrow0}\int_{\epsilon}^1\left(\frac{e^{2x}}{x}dx-\int_\epsilon^1\frac{e^x}{x}dx\right)\\ &=\lim_{\epsilon\searrow0}\Big(\big(\operatorname{Ei}(2)-\operatorname{Ei}(2\epsilon)\big)-\big(\operatorname{Ei}(1)-\operatorname{Ei}(\epsilon)\big)\Big)\\ &=\operatorname{Ei}(2)-\operatorname{Ei}(1)-\lim_{\epsilon\searrow0}\big(\operatorname{Ei}(2\epsilon)-\operatorname{Ei}(\epsilon)\big).\end{align} Now $$\operatorname{Ei}(2\epsilon)-\operatorname{Ei}(\epsilon)=\int_{\epsilon}^{2\epsilon}\frac{e^s}{s}ds=\int_\epsilon^{2\epsilon}\frac{1+O(\epsilon)}{s}ds=\int_{\epsilon}^{2\epsilon}\frac{ds}{s}+O(\epsilon)=\ln 2+O(\epsilon).$$ This gives $$I=\operatorname{Ei}(2)-\operatorname{Ei}(1)-\ln2\approx 2.366.$$