Region of convergence
RoC in the Z domain
The region of convergence (RoC) is defined as the set of $z$ for which the z-transform (and by extension, its infinite series representation) of the signal converges/exists.
The ROC cannot include a pole, so any possible regions of convergence exclude the circles $|z| = |p|$ for all poles $p$. As a result, regions of convergence look like donuts (between two poles), circles (less than the smallest pole), or the entire z-plane excluding a circle (greater than the largest pole).
The actual region can be found by reducing the Z-transform formula to an infinite geometric series whose common ratio includes $z$. Recall that the absolute value of the common ratio must be less than one.
Different signals can have the same Z-transform. Two signals must have the same Z-transform and region of convergence to be identical.
Choosing RoC from given constraints (Z)
- A causal system, which is right-sided ($h[n]=0$ for $n < 0$) has a region of convergence that extends to infinity.
- A left-sided system has a region of convergence that includes $z=0$.
- A BIBO stable system has a region of convergence that includes the unit circle ($|z| = 1$).
RoC in the Laplace domain
The region of convergence in the Laplace domain is similar.
In the Laplace case, the possible regions of convergence exclude the lines $\operatorname{Re}(s) = \operatorname{Re}(p)$, for all poles $p$. These lines divide the complex s plane into possible regions of convergence.
Choosing RoC from given constraints (Laplace)
- A causal system has a region of convergence that extends to positive infinity.
- A BIBO stable system has a region of convergence that includes the imaginary axis $\operatorname{Re}(s) = 0$.