Science Fair Project Encyclopedia
Knuth-Bendix completion algorithm
The Knuth-Bendix completion algorithm is an algorithm for transforming a set of equations (over terms) into a confluent term rewriting system. When the algorithm succeeds, it has effectively solved the word problem for the specified algebra. Hence, it can also be used to solve the coset enumeration problem. The word problem is, in general, undecidable, hence the algorithm cannot always terminate successfully. If it does not succeed, it will either run forever, or fail when it encounters an unorientable equation (i.e. an equation that it cannot turn into a rewrite rule). The enhanced completion without failure will not fail on unorientable equations and provides a semi-decision procedure for the word problem.
Description of the algorithm
Suppose we are given a presentation
, where X is a set of generators and R is a set of relations giving the rewriting system. Suppose further that we have a well-ordering < words generated by X. For each relation Pi = Qi in R, suppose Qi < Pi. Thus we begin with the set of reductions
.
First, if any relation Pi = Qi can be reduced, replace Pi and Qi with the reductions.
Next, we add more reductions (that is, rewriting rules) to eliminate possible exceptions of confluence. Suppose that Pi and Pj, where
, overlap. That is, either the prefix of Pi equals the suffix of Pj, or vice versa. In the former case, we can write Pi = BC,Pj = AB; in the latter case, Pi = AB,Pj = BC.
Reduce the word ABC using Pi first, then using Pj first. Call the results r1,r2, respectively. If
, then we have an instance where confluence could fail. Hence, add the reduction
to R.
After adding a rule to R, remove any rules in R that might have reducible left sides.
Repeat the procedure until all overlapping left sides have been checked.
Example
Consider the presentation
. We use the lexicographic ordering. In fact, this is an infinite group. Nevertheless, the Knuth-Bendix algorithm is able to solve the word problem.
Our beginning three reductions are therefore (1)
, (2)
, and (3)
.
First, we see an overlap of x in (1) and (3). Consider the word x3yxyxy. Reducing using (1), we get yxyxy. Reducing using (3), we get x2. Hence, we get yxyxy = x2, giving the reduction rule (4)
.
Similarly, using the overlap of y in (2) and (3), we get the reduction (5)
.
Both of these rules obsolete (3), so we remove it.
Next, consider the overlap of x of (1) and (5). Considering x3yxyx we get the rule yxyx = x2y2, so we get the rule (6)
. This obsoletes rule (4) and (5), so we remove them. Considering xyxyx3, we get xyxy = y2x2, so we get the rule (7)
.
Now, we are left with the rewriting system
- (1)
- (2)
- (6)
- (7)
Checking the overlaps of these rules, we find no potential failures of confluence. Therefore, we have a confluent rewriting system, and the algorithm terminates successfully.
The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details


