Define $$RT(n,K_l,f(n))=ex_l(n,f(n))=\max_G\{e(G): K_l \not\subset G, v(G)=n, \alpha(G)\leq f(n)\}$$ and the Ramsey-Turán density function $f_l:(0,1] \to \mathbb{R}$ as $$f_l(\alpha)=\lim_{n\to \infty}\frac{ex_l(n,\alpha n)}{{n\choose 2}}.$$
By Turán Theorem we have that $f_l(\alpha)=1-\frac{1}{l-1}$ for every $\alpha \geq \frac{1}{l-1}$.
How to prove that this limit exists for every $\alpha \in (0,1]$?
I was trying to prove that the sequence $(ex_l(n,\alpha n)/{n\choose 2})_n$ is monotone, but I could only prove that $$ex_l(n,s)\leq\frac{n \ ex_l(n-1,s)}{n-2},$$ which is not enough since $ex_l(n-1,\alpha n) \geq ex_l(n-1,\alpha(n-1)).$
I also thought of using that $\alpha(G) \leq \alpha n$ and $\alpha(G)\leq \alpha(n-1)$ only give different restrictions once every $\approx 1/\alpha$ values of $n$ in a row. But it would also be necessary to show that every jump is in the same direction, which I couldn't do.
Edit 1: In Simonovits and Sós survey on Ramsey-Turán theory, when defining $RT(n,L^{(r)},s)$ for $r$-uniform hypergraphs, they say that the limit $$\lim_{n \to \infty}\frac{RT(n,L^{(r)},\varepsilon n)}{n^r}$$ exists and follows relatively easily from vertex-multiplication. I don't quite know how vertex-multiplication works but maybe it helps.