Iterative impedance
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Iterative impedance is the input impedance of an infinite chain of identical networks. It is related to the image impedance used in filter design, but has a simpler, more straightforward definition.
Iterative impedance is the input impedance of one port of a two-port network when the other port is connected to an infinite chain of identical networks.[1] Equivalently, iterative impedance is that impedance that when connected to port 2 of a two-port network is equal to the impedance measured at port 1. This can be seen to be equivalent by considering the infinite chain of identical networks connected to port 2 in the first definition. If the original network is removed then port 1 of the second network will present the same iterative impedance as before since port 2 of the second network still has an infinite chain of networks connected to it. Thus the whole infinite chain can be replaced with a single lumped impedance equal to the iterative impedance, which is the condition for the second definition.[2]
In general, the iterative impedance of port 1 is not equal to the iterative impedance of port 2. They will be equal if the network is symmetrical, however physically symmetry is not a necessary condition for the impedances to be equal.[3]
Examples

A simple generic L-circuit is shown in the diagram consisting of a series impedance Z and a shunt admittance Y. The iterative impedance of this network, ZIT, in terms of its output load (also ZIT) is given by,[4][5][6][7]
and solving for ZIT,
Another example is an L-circuit with the components reversed, that is, with the shunt admittance coming first. The analysis of this circuit can be found immediately through duality considerations of the previous example. The iterative admittance, YIT, of this circuit is given by,
where,
The square root term in these expressions cause them to have two solutions. However, only solutions with a positive real part are physically meaningful since passive circuits cannot exhibit negative resistance. This will normally be the positive root.[8]

