Expectation of $XY$ bounded for all bounded $Y$ implies $X$ is $L^p$ I'm trying to prove:

Let $X$ be a real random variable, $p, q \in (1,\infty)$, $\frac 1 p + \frac 1 q = 1$. If there is $C < \infty$ such that $|\mathbb E[XY]| \leq C ||Y||_q$ for any bounded random variable $Y$, then $X$ is in $\mathcal L^p$. 

My idea is to use the fact that $\left(L^q(\mathbb P)\right)' \cong L^p(\mathbb P)$, and to show $F : L^q(\mathbb P) \to \mathbb R$ defined by $F(Y) = \mathbb E[XY]$ is continuous. For then, the isomorphism in particular is the isometry $\kappa(f) = \left( Y \mapsto \mathbb E[fY]\right)$, so we must have $f = X$. But I'm not sure if that conclusion is correct, nor am I sure how to prove $F$ is continuous over $L^q(\mathbb P)$; only over bounded functions in $L^q(\mathbb P)$. Any suggestions? 
 A: Hint: for each fixed $n$, apply the assumption to the random variable 
$$
Y=Y_n= \operatorname{sgn}\left(X\right)\left\lvert X\right\rvert^{p-1}\mathbf 1\{\left\lvert X\right\rvert\leqslant n\},
$$
where  $\operatorname{sgn}\left(X\right)=1$ if $X$ is positive, $-1$ if $X$ is negative and $0$ for $X=0$.
This will give a bounded on $\mathbb E\left[\left\lvert X\right\rvert^{p}\mathbf 1\{\left\lvert X\right\rvert\leqslant n\}\right]$ which does not depend on $n$.
Indeed, let $X_n:=\left\lvert X\right\rvert^{p}\mathbf 1\{\left\lvert X\right\rvert\leqslant n\}$ and $x_n:=\mathbb E\left[X_n\right]$, Then we got that $x_n\leqslant cx_n^{1/q}$.
A: Hint: This is about how you can apply Riesz representation theorem saying that $[L^q]^*=L^p$. Let $\Omega$ denote the underlying space. First note that by choosing an appropriate $\theta(\omega)$ for each $\omega$ (in a measurable way), we can make
$$
|X(\omega)||Y(\omega)|= X(\omega)Y(\omega)e^{i\theta(\omega)}.
$$ By letting $Y'(\omega)=Y(\omega)e^{i\theta(\omega)}$, we can improve the inequality to
$$
E[|X||Y|]\le C\|Y\|_{L^q}
$$ for all bounded $Y$. Then we can use monotone convergence theorem to conclude
$$
E[|X||Y|]\le C\|Y\|_{L^q}
$$ for all $Y\in L^q$. Now deduce the conclusion that $X\in L^p$.
