I'm looking for a function $x(\cdot)$ where the domain is $\mathbb{R}^+$, that satisfies the following:
For all $\epsilon > 0$, the inequality $x-\ln x\ge 1+\epsilon$ is satisfied for all $x \geq x(\epsilon)$, and
For all $\epsilon \in \mathbb{R}^+$, the value of $x(\epsilon)$ is close to being as small as possible while still satisfying 1. above.
For example, for all $\epsilon > 0$, the inequality $x-\ln x\ge 1+\epsilon$ clearly is satisfied for all $x \geq 100+100\epsilon$. But given any such $\epsilon$, as $x$ can still satisfy the inequality $x-\ln x\ge 1+\epsilon$ and be much smaller than $100+100\epsilon$, the function $100+100\epsilon$ is not what would suffice here for $x(\epsilon)$.
Furthermore, for such an $x(\epsilon)$ I need a close-form expression.
I've tried playing with iteratively setting $x\ge\ln x + 1+\epsilon$, but I don't see it leading anywhere: $x\ge\ln x+ 1+\epsilon\ge\ln (\ln x+ 1+\epsilon)+ 1+\epsilon\ge\ln (\ldots (\ln x+ 1+\epsilon)\ldots+ 1+\epsilon)+ 1+\epsilon$.
Intuitively, it should suffice that $x$ will be slightly larger than $1+\epsilon$, but I'm struggling to get a reasonable value for it.
Any ideas?
EDIT: Playing a bit with Wolfram Alpha, I saw that setting $x(\epsilon)=1.6(1+\epsilon)$ also works. This is not ideal as I hope for a bound that tends to $1$ as $\epsilon\to 0$.
EDIT2: It seems that $x(\epsilon)=1+\epsilon+\sqrt {2\epsilon}$ also works. I don't have any intuition as to why this works or if there's an easy way of proving it.
In contrast, it seems that $1+c\cdot \epsilon$ doesn't work for any $c\in\mathbb R$.
$x(\epsilon)=x-\ln(x)-1$ is the largest upper bound possible, and also happens to be in closed form.