In this section, the Fourier technique used in section 1 is expanced to the 2-dimensional grid. This method sets up an integral for this resistance between any two nodes, and a solution is found for the resistance across the diagonal of a single square (between nodes (0,0) and (1,1) in Figure 2.
Defining the 2-dimensional discrete-space Fourier transform pairs
Then, using equation 29, equation 26 becomes
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(31) |
In order for the above relation to hold for any set of
(or, equivalently,
), the integrands must be equal.
| (32) |
Current sources of 1A at (0,0) and -1A at
are written as
, which has a Fourier transform (by equation 28) of
.
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(33) |
The equivalent resistance between nodes (0,0) and (M,N) is the voltage between the nodes
This has ``simplified'' the resistance to a definite integral. The rest of this effort is just bending the integral to produce the number of interest.
As an aside, superposition can be more directly invoked to find the equivalent resistance between adjacent nodes, say (0,0) and (0,1), in Figure 2.
If 1A is injected in node (0,0), by symmetry the current is evenly divided among the four connected resistors.
This 0.25A current results in a 0.25V potential between nodes (0,0) and (1,1).
Similarly, the -1A sink at node (0,1) draws current equally through each connected resistor, resulting in a 0.25V potential difference between nodes (0,0) and (0,1).
Superposition has these acting in concert to produce a potential difference of 0.5V across that resistor, resulting in the equivalent resistance of
.
This is the same answer as obtained by evaluating equation 37 with either (M,N) = (0,1) or (1,0).
As another aside, it is straightforward to see the extension for N-dimensional case. If the N-dimensional nodes are represented by the coordinates
in lattice space and
in Fourier space, then the resistance separated by
is
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(38) |
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(41) |
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(42) |
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(43) | |
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(44) | |
| (45) | |||
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(46) |
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(50) | ||
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(51) | ||
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(52) | ||
| (53) |
.