If a set has a "small enough" Lebesgue measure, can we say that the set of points "close enough" to it will have a "small enough" Lebesgue measure too? Details below.
Let $\lambda$ denote the Lebesgue measure.
Suppose $E \subseteq \mathbb{R}^2$. $E$ is compact and convex, $\lambda(E)<\infty$. Further, $A \subseteq E$, $\lambda(A)<\epsilon\lambda(E)$ for some $\epsilon>0$.
What is the tightest upper bound on the Lebesgue measure of the following set? $$B:=\{x \in E:d(x,A)\leq \delta\}$$
where $d(x,A):=\inf\limits_{y \in A} d(x,y)$ where $d(\cdot,\cdot)$ is the Euclidean metric on $\mathbb{R}^2$. Clearly, $B \supseteq A$.
I would like to buttress that we know nothing more about $A$ than the fact that it has a small enough Lebesgue measure. In other words, it is allowed to be all sorts of "not nice".
For the sake of completeness, I would also like to add that question closest to this question I found is this.