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Consider the recursion equations for the [[factorial]] function ''f'':
<math display="block">\begin{align}
\end{align}</math>
▲<math>f(n+1) = (n + 1) \cdot f(n)</math>
The corresponding recursive operator Φ will have information that tells how to get to the next value of ''f'' from the previous value. However, the recursive operator will actually define the graph of ''f''. First, Φ will contain the pair <math>( \varnothing, (0, 1))</math>. This indicates that ''f''(0) is unequivocally 1, and thus the pair (0,1) is in the graph of ''f''.
Next, for each ''n'' and ''m'', Φ will contain the pair <math>( \{ (n, m) \}, (n+1, (n+1)\cdot m))</math>. This indicates that, if ''f''(''n'') is ''m'', then {{nowrap|''f''(''n''
The first recursion theorem (in particular, part 1) states that there is a set ''F'' such that {{nowrap|1=Φ(''F'') = F}}. The set ''F'' will consist entirely of ordered pairs of natural numbers, and will be the graph of the factorial function ''f'', as desired.
The restriction to recursion equations that can be recast as recursive operators ensures that the recursion equations actually define a least fixed point. For example, consider the set of recursion equations:
<math display="block">\begin{align}
&g(n + 1) = 1\\
\end{align}</math>
There is no function ''g'' satisfying these equations, because they imply ''g''(2) = 1 and also imply ''g''(2) = 0. Thus there is no fixed point ''g'' satisfying these recursion equations. It is possible to make an enumeration operator corresponding to these equations, but it will not be a recursive operator.
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