Struggling with Problem 1, section 3.4 of Dudley's Real Analysis and Probability. The question asks us to prove the following statement:
Let E be a Lebesgue measurable set, such that for all x in a dense subset of $\mathbb{R}$, $\lambda (E\Delta (E+x)) =0$. Show that either $\lambda (E)$ or $\lambda(\mathbb{R}/E) =0$.
My thoughts so far: If x is such that the two sets E and E+x are fully disjoint, then naturally their symmetric difference is simply the union of the two sets, implying $\lambda (E) =0$.
However I'm struggling to show what happens if they are not disjoint! Any help would be much appreciated.

Sets of positive measure on the real line have the following useful property: if $E\subset\mathbb{R}$ is of positive measure, then for any $\varepsilon>0$ there is an interval $I\subset\mathbb{R}$ such that $$m(E\cap I)>(1-\varepsilon)m(I).$$ That is to say, a set of positive measure can be arbitrarily "dense" on local regions. In your problem, suppose for the contrary that $E$ is of both positive measure and positive "co-measure", then you can find an interval $I$ such that $$m(E\cap I)>\frac{2}{3}m(I)$$ and an interval $J$ such that $$m(E^{c}\cap J)>\frac{2}{3}m(J)$$ which is equivalent to $$m(E\cap J)<\frac{1}{3}m(J).$$ By considering subintervals of $I$ and $J$, you can quite easily assume without loss of generality that $I$ and $J$ are of the same length. However, the condition "$m(E\Delta(E+x))=0$ for densely many $x$" says roughly that $E$ changes negligibly under densely many translations. But our result shows that $E$ behaves very differently on $I$ and on $J$, so a translation that moves $I$ approximately to $J$ will definitely deal a substantial change on $E$, i.e. yields a non-negligible symmetric difference.