Question
A book that I'm reading$^{[a]}$ asks to prove that under suitable conditions on the behavior of a function $K:\mathbb{R} \rightarrow \mathbb{R}$ at large arguments, the integral $$\mathcal{I} = \int_0^t dt_1 \int_0^t dt_2 K(\left \lvert t_1 - t_2 \right \rvert)$$ is proportional to $t$ for sufficiently large $t$.$^{[b]}$ The book claims that a sufficient condition is $$\lim_{x \rightarrow \infty} K(x) = 0 \, ,$$ but I doubt that because if $K(x)$ decays like $1/x$ then its integral isn't even convergent.
What are the conditions on $K$ under which $\mathcal{I}$ does in fact scale linearly in $t$ in the limit of $t \rightarrow \infty$?
Attempt
I think a more reasonable condition to investigate would be something like this:
Condition: There is a $K^*$ such that for any $\epsilon > 0$ we can find $T$ such that for any $t > T$ $$\left \lvert \int_0^t K(t) \, dt - K^* \right \rvert < \epsilon \, ,$$ i.e. for sufficiently large $t$ the integral of $K$ can be approximated to be $K^*$. I'm choosing to explore this condition because it's one that makes sense in the context of the book (see footnotes).
Referring to the diagram below, the integral $\mathcal{I}$ is over $A \cup B$, and because of the symmetry of the integrand (i.e. it depends only on $\left \lvert t_1 - t_2 \right \rvert$) the contributions from $A$ and $B$ are equal. Therefore $$\mathcal{I} = 2 \int_B K(\left \lvert t_1 - t_2 \right \rvert ) dt_1 \, dt_2 \, .$$ I think we can make progress by attempting to extend the integral to the region $B \cup C$ and argue that the contribution from $C$ doesn't change the large $t$ behavior. Introduce new coordinates $p$ and $q$ defined by $$\begin{array}{ll} q = &(1/\sqrt{2}(t_1 + t_2) \\ p = &(1/\sqrt{2})(t_1 - t_2) \, . \end{array}$$
If we make the extra assumption that $K$ is positive, then extending the integral to include region $C$ can only increase its value, so $$\mathcal{I} < 2 \int_{B + C} K(\left \vert t_1 - t_2 \right \rvert) dt_1 dt_2 = \int_0^t dq \int_0^t dp K(p) \stackrel{t\rightarrow \infty}{=}t K^* \, ,$$ which shows that the large $t$ behavior of $\mathcal{I}$ is bounded by $t$. However, we're supposed to show that $\mathcal{I}$ is proportional to $t$, not bounded by it, and we should be able to do this without the assumption that $K$ is positive. How do we improve the argument?
[a]: Elements of Nonequilibrium Statistical Mechanics by V. Balakrishnan
[b]: This integral comes up in the study of Brownian motion where $K$ is a so-called "correlation function" of the noise.

I think a good assumption to begin with is $K\in L^1(0,+\infty)$, which is more restrictive than your condition but more comfortable to work with.
I think you don't have $t$ proportionality in general. Choose for instance $K(x)=\chi_{0<x<1}\sin(2\pi x)$ with support in $[0,1]$, so that $K$ has vanishing integral. Then, in the quantity $\mathcal I$ you have some cancellation. In particular, for $t$ large enough, $\mathcal I$ is a non-zero costant. You might want at least to assume that $K$ has non vanishing integral in order to have actual proportionality.