When is this true? $$\lim_{r\to 0}\int_{-K}^K f(rx)dx=\int_{-K}^K \lim_{r\to 0} f(rx)dx$$ Is it true without the hypothesis of continuity of $f$?
Thank you.
When is this true? $$\lim_{r\to 0}\int_{-K}^K f(rx)dx=\int_{-K}^K \lim_{r\to 0} f(rx)dx$$ Is it true without the hypothesis of continuity of $f$?
Thank you.
Hint: Consider the function $$ f(x)=\left\{\begin{array}{} 0&\text{if }x=\frac1n\text{ for }n\in\mathbb{Z}\\ 1&\text{otherwise} \end{array}\right. $$ For the Lebesgue integral, read about Lebesgue's Density Theorem.
There must be an assumption that the limit inside the integral on the right exists for at least one $x$. But then a simple substitution shows that the limit $$ \lim_{r\to0}f(r)=:c $$ exists, and then $$ \lim_{r\to0}f(rx)=c\qquad\text{for all $x\ne0$}. $$ So the integral on the right has the value $2Kc$.
Now look at the left hand side. Let $\varepsilon>0$, and pick $\delta>0$ so that $$\lvert f(x)-c\rvert<\varepsilon\qquad\text{for $0<\lvert x\rvert<\delta$.}$$
Notice that then $$\lvert f(rx)-c\rvert<\varepsilon\qquad\text{for $0<\lvert x\rvert<K$, $0<r<\delta/K$.}$$ This shows that $f(rx)\to c$ uniformly on $[-K,K]\setminus\{0\}$ as $r\to0$, which is enough to get the required convergence.