In El Fatini and Boukanjime "Stochastic analysis of a two delayed epidemic model incorporating Lévy processes with a general non-linear transmission" paper, can someone give a detailed explanation of the proof of Proposition 2.1 part (1)?
The highlighted part is what I'm having trouble with.
What does the $U(u)$ mean? is it "the smallest value of $V$ such that $x_i\geq u$ or $x_i \leq \frac{1}{u}$"?
I am confused with: $$V(S(0),I(0))+KT\geq \epsilon U(m),$$ where $\epsilon \in(0,1)$. They let $m\rightarrow \infty$, which leads to $\infty>V(S(0),I(0))+KT=\infty$. Shouldn't it be $V(S(0),I(0))+KT=\infty=\infty \geq \epsilon\cdot\infty = \infty$? So the inequality actually holds and isn't a contradiction?