# Controlling Infinite Evaluation

The general principle that the Wolfram Language follows in evaluating expressions is to go on applying transformation rules until the expressions no longer change. This means, for example, that if you make an assignment like , the Wolfram Language should go into an infinite loop. In fact, the Wolfram Language stops after a definite number of steps, determined by the value of the global variable $RecursionLimit. You can always stop the Wolfram Language earlier by explicitly interrupting it.

$RecursionLimit | maximum depth of the evaluation stack |

$IterationLimit | maximum length of an evaluation chain |

Global variables that limit infinite evaluation.

The variables $RecursionLimit and $IterationLimit control the two basic ways that an evaluation can become infinite in the Wolfram Language. $RecursionLimit limits the maximum depth of the evaluation stack, or equivalently, the maximum nesting depth that would occur in the list structure produced by Trace. $IterationLimit limits the maximum length of any particular evaluation chain, or the maximum length of any single list in the structure produced by Trace.

$RecursionLimit and $IterationLimit are by default set to values that are appropriate for most computations, and most computer systems. You can, however, reset these variables to any integer (above a lower limit), or to Infinity. Note that on most computer systems, you should never set $RecursionLimit=Infinity, as discussed in "Memory Management".

In[6]:= |

In[8]:= |

It is important to realize that infinite loops can take up not only time but also computer memory. Computations limited by $IterationLimit do not normally build up large intermediate structures. But those limited by $RecursionLimit often do. In many cases, the size of the structures produced is a linear function of the value of $RecursionLimit. But in some cases, the size can grow exponentially, or worse, with $RecursionLimit.

An assignment like is obviously circular. When you set up more complicated recursive definitions, however, it can be much more difficult to be sure that the recursion terminates, and that you will not end up in an infinite loop. The main thing to check is that the right‐hand sides of your transformation rules will always be different from the left‐hand sides. This ensures that evaluation will always "make progress", and the Wolfram Language will not simply end up applying the same transformation rule to the same expression over and over again.

Some of the trickiest cases occur when you have rules that depend on complicated conditions (see "Putting Constraints on Patterns"). One particularly awkward case is when the condition involves a "global variable". The Wolfram Language may think that the evaluation is finished because the expression did not change. However, a side effect of some other operation could change the value of the global variable, and so should lead to a new result in the evaluation. The best way to avoid this kind of difficulty is not to use global variables in conditions. If all else fails, you can type Update[s] to tell the Wolfram Language to update all expressions involving s. Update[] tells the Wolfram Language to update absolutely all expressions.