Consider a single input single output discrete-time system with x[n] as input and y[n] as output, where the two are related as $$y\left[ n \right] = \left\{ {\matrix{ {n\left| {x\left[ n \right]} \right|,} & {{\rm{for}}\,0 \le n \le 10} \cr {x\left[ n \right] – x\left[ {n – 1} \right],} & {{\rm{otherwise}}} \cr } } \right.$$ Which one of the following statements is true about the system?

It is causal and stable
It is causal but not stable
It is not causal but stable
It is neither causal nor stable

The correct answer is: A. It is causal and stable.

A causal system is a system whose output depends only on the present and past inputs, not on future inputs. In this case, the output $y[n]$ is defined only for $n \ge 0$, so it is causal.

A stable system is a system whose output does not grow without bound as the input goes to infinity. In this case, the output $y[n]$ is bounded for all $n$, so it is stable.

The other options are incorrect. Option B is incorrect because the system is not stable. Option C is incorrect because the system is causal. Option D is incorrect because the system is both causal and stable.