Assume that $\psi(x)$ is bounded and integrable on $x \in [0,\infty)$ with $\int_0^\infty \psi(x) dx = 0$, and suppose that $K \colon (0,\infty) \to (0,\infty)$ is some kernel function satisfying $K(x) \to 0$ as $x \to \infty$. I am wondering under what type of additional conditions on $K$ should we impose so that we can upper bound $\int_0^\infty |\psi(x)|^2 dx$ by some functionals of $\int_0^\infty \int_0^\infty K(x+y)\psi(x)\psi(y) dxdy$ ? To be more precise, will such bound be available with the choice $K(x) = \frac{1}{x}$?
Edit: here $\psi$ is some fixed function (which is actually the difference between two cumulative distribution functions $F$ and $G$, whose probability densities $f$ and $g$ have the same mean value, which leads to the constraint $\int_0^\infty \psi(x)\, dx = \int_0^\infty (F(x)-G(x))\, dx = 0$ on $\psi$.) As a side remark, for the choice $K(x) = 1/x$ we have $$\int_0^\infty \int_0^\infty K(x+y)\psi(x)\psi(y) dxdy = \int_0^\infty \left(\int_0^\infty \psi(x)\,\mathrm{e}^{-x\xi}\,dx\right)^2 d\xi \geq 0$$