I faced with this equality $$\lim _{n \to \infty } \int_0^n \left( {1 - \frac{m}{n}}\right) ^n \log(m)dm= \int_0^\infty {{e^{ - m}}} \log mdm.$$ I know a rigorous proof for $\displaystyle \lim_{n\to\infty} \left(1+\frac {x}{n}\right)^n=\exp x$ but the problem is a general effect of limit on both integrand and upper bound and my question is proving the equality in the title and not just the example above; that is I can't rigorously prove why $$\lim _{n \to \infty } \int_0^n f(n,t) dt = \int_0^\infty \lim_{n \to \infty } f(n,t) dt.$$
Unfortunately, I don't know more than undergraduate real analysis. A simpler and clear proof would be much appreciated.
We can fashion a dominated convergence theorem of the kind that the old masters, pre measure-theory, would have known. I'll present an argument for your particular case, but it will be clear that there is a general theorem here.
Sketch of main ideas: First make all the domains of integration $(0,\infty).$ Just set
$$f_n(x) = (1-x/n)^n\log x \,\chi_{(0,n)}(x),\,\,f(x)=e^{-x}\log x.$$
Your problem is then to show $\int_0^\infty f_n \to \int_0^\infty f.$
Note that $|f_n(x)| \le |f(x)|$ for all $x\in (0,\infty).$ Furthermore, $\int_0^\infty |f| <\infty.$ And very importantly, $f_n \to f$ uniformly on any $(a,b)$ with $0<a<b<\infty.$ (If you haven't seem the last result don't despair; it's provable with the tools of undergraduate real analysis, give it a try.)
We then proceed:
$$|\int_0^\infty f-\int_0^\infty f_n| =|\int_0^\infty (f-f_n) |\le \int_0^\infty|f-f_n|$$ $$ = \int_0^a |f-f_n| + \int_a^b |f-f_n| + \int_b^\infty |f-f_n|$$ $$ \le \int_0^a 2|f| + \int_a^b |f-f_n| + \int_b^\infty 2|f|.$$
We can choose $a,b$ so that the first and third integrals are as small as we like. Uniform convergence shows the second integral $\to 0.$ We're in a good spot now. It will lead to the result you're after.