I am interested in analysis of the partial MacLaurin sum for the exponential decay function:
$$E_n(\lambda) \equiv \sum_{i=0}^n \frac{(-\lambda)^i}{i!} \quad \quad \quad \text{for } \lambda \geqslant 0 \text{ and } n \geqslant 0.$$
Obviously this function has the limit $E_n(\lambda) \rightarrow \exp(-\lambda)$ as $n \rightarrow \infty$, which is the exponential decay function. For the purposes of some probability work, I am interested in finding out conditions on $\lambda$ that ensure that this function is non-negative.
It seems to me that large values of $\lambda$ might lead this partial sum to be negative sometimes, so I am wondering if there is any (non-trivial) upper bound I can impose on $\lambda$ to ensure that the function is non-negative. I have in mind some upper bound (that can depend on $n$) where the condition $0 \leqslant \lambda \leqslant U(n)$ is sufficient to ensure that $E_n(\lambda) \geqslant 0$ for all $n=0,1,2,...$.
Question: Is there a (non-trivial) sufficient condition I can impose on $\lambda$ (either an upper-bound depending on $n$ or some other condition) that will ensure that the function above is non-negative?