There are several threads on this topic including:
How is an epsilon of 1/1000 non-negligible?
How to calculate if probability is negligible or not
(and others)
but I do not fully understand the answers in those threads.
My question is:
I would like to see what the definition of negligible & non-negligible means in an intuitive sense and unpack the definitions and use an example to see how the definitions apply.
The definition I am using is:
$\epsilon$ is a function $\epsilon$: $Z^{+}$ $\rightarrow$ $R^{+}$ and
$\epsilon$ is non-neg: $\exists$d: $\epsilon$($\lambda$) $\geq$ 1/$\lambda^{d}$ inf often ($\epsilon$ $\geq$ 1/polynomials, for many $\lambda$)
$\epsilon$ is neg: $\forall$d, $\lambda \geq \lambda_{d}$: $\epsilon$($\lambda$) $\leq$ 1/$\lambda^{d}$ inf often ($\epsilon$ $\leq$ 1/polynomials, for large $\lambda$)
Several questions:
- What do these definitions mean in an "intuitive" sense?
- What does $\epsilon$, $\lambda$, d, $\lambda^d$ mean?
- How can you use these definitions to show that $\epsilon$:($\lambda$)=1/$2^{\lambda}$ is negligible and $\epsilon$($\lambda$)=1/$\lambda^{1000}$ is non-negligible?
(I know one of these examples is shown in another thread but I do not understand their solution and I want to see what each piece in the definition means in 'english' and then see how the definition is applied to each of these examples to show that they are negligible and non-negligible. I am hoping someone can provide a fresh explanation to the definitions and show how the definitions are applied to these problems and problems in general.)
Thanks!