StarFree Regular Languages and Logic
Part 1 of a twopart series
Daniel Winton is a graduate student in mathematics at Buffalo. He did an independent study with me last semester on descriptive complexity.
Today we begin a twopart series written by Daniel on a foundational result in this area involving firstorder logic and starfree languages.
Dick and I have discussed how GLL might act during the terrible coronavirus developments. We could collect quantitative and theoretical insights to help understand what is happening and possibly contribute to background for attempts to deal with it. Our March 12 post was this kind, and was on the wavelength of an actual advance in group testing announced in Israel two days ago, as noted in a comment. We could try to be even more active than that. We could focus on entertainment and diversion. Our annual St. Patrick’s Day post mentioned the ongoing Candidates Tournament in chess, with links to follow it live 7am–noon EDT. Game analysis may be found here and elsewhere.
Here we’re doing what we most often do: present a hopefully sprightly angle on a technical subject. We offer this in solidarity with the many professors and teachers who are beginning to teach online to many students. The subject of regular languages is the start of many theory courses and sometimes taught in high schools. Accordingly, Dick and I decided to prefix a section introducing regular languages as a teaching topic and motivating the use of logic, before entering the main body written by Daniel.
Regular Languages and Logic
Regular languages are building blocks used throughout computer science. They can be defined in many ways. Two major types of descriptions are:

Regular expressions. For example, the regular expression
describes the set of strings over the alphabet that have an even number of ‘s.
 Finite automata, for example:
The regular languages defined by (1) and (2) are the same. All regular expressions have corresponding finite automata. This equivalence makes a powerful statement about the concept of regular languages. The more and more diverse definitions we have, the better we understand a concept. This leads us to consider other possible definitions.
A natural kind of definition involves logic. Studying complexity classes through logic and model theory has proven fruitful, creating descriptive complexity as an area. Good news: there are logic definitions equivalent to the regular languages. Bad news: they require going up to secondorder logic. We would like to stay with firstorder logic. So we ask:
What kind of languages can we define using only firstorder logic (FOL) and simple predicates like “the th bit of is ” and “place comes before place “?
The answer is the starfree languages, which form a subclass of the regular languages. They were made famous in the book CounterFree Automata by Robert McNaughton and Seymour Papert, where the equivalence to FOL was proved. A portentous fact is that these automata cannot solve simple tasks involving modular counting. Nor can perceptrons—the title subject of a book at the same time by Papert with Marvin Minsky, which we discussed in relation to both AI and circuit complexity. This post will introduce and FOL, prove the easier direction of the characterization, and give two lemmas for next time. The second post will present a new way to visualize the other direction. The rest of this post is by Daniel Winton.
No Stars Upon Thars
A regular language over an alphabet is one with an expression that can be obtained by applying the union, concatenation, and Kleene star operations a finite number of times on the empty set and singleton subsets of . Starfree languages are defined similarly but give up the use of the Kleene star operation, while adding complementation () as a basic operation. The starfree languages are a subset of the regular languages, because regular languages are closed under complementation.
Complementation often helps find starfree expressions that we ordinarily write using stars. For instance, if the alphabet is , then gives . The following lemma gives a family of regular expressions that use Kleene star but are really starfree.
Lemma 1 The language given by taking the Kleene star operation on a union of singleton elements in an alphabet is starfree.
Proof. For we have that can be given by
For example, the language is starfree because is by this lemma. This idea extends also to forbidden substrings—e.g., the set of strings with no is .
The language is not the same, however, and it is not starfree. Intuitively this is because it involves modular counting: an in an odd position is OK but not even. The parity language from the introduction is another example. So is a proper subset of the regular languages. What kind of subset? This is where having a third description via logic is really useful.
The First Order of Business
In addition to the familiar Boolean operations and truth values, firstorder logic provides variables that range over elements of a structure and quantifiers on those variables. Since we will be concerned with Boolean strings , the variables will range over places in the string , where . A logic also specifies a set of predicates that relate variables and interact with the structure. For strings we have:
 , meaning that the symbol indexed in is the character . The logic gives one such predicate for each .
 , with the obvious meaning for natural numbers and .
We can take the for granted since we are talking about strings, but we need to say that predicates like and are excluded, so we call this . We could define equality by but we regard equality as inherent.
We can use to define the successor relation , which denotes that position comes immediately after position :
Note the use of quantifiers. We can use quantifiers to say things about the string too. For instance, the language of strings having no substrings is defined by the logical sentence
It is implicit here that and are always inbounds. If were a legal constant with always false then a string like (which belongs to ) would falsify with and .
How big is ? We'll see it is no more and no less than .
From SF to FO
To prove that any language in has a definition in , we will not only give a sentence but also a formula . We will define this formula to indicate that for a given string , the portion of the string between indices and is in . Then for the correct choices of and , gives . We define to test middle portions of strings, because it handles lengths better for the induction in the concatenation case.
Theorem 2
Every language in is definable in .
The proof is a nice example where “building up” to prove something more general—involving two extra variables—makes induction go smoothly.
Proof: Let be a starfree regular language and the portion of the string between indices (inclusive) and (exclusive) is contained in . Let be the formula denoting that for a given string , that is, is the representation of in . We will show that such a exists via induction on . This is sufficient, as for a given symbol that always represents the length of a string , is the formula in representing the language .
First, we must show that is in for one of the basis languages, , and , for some in . We have that:
Now, we must show that given starfree languages and with FO translations and respectively, we have , , and are in . Then:
Since starfree languages can be obtained by applying the union, concatenation, and complementation operations a finite number of times on and singleton subsets of , this completes the proof of .
Two Lemmas For Next Time
Prefatory to showing (in the next post) that is contained in , we prove properties about substrings on the ends of starfree languages, rather than in the middle as with the trick in the proof of Theorem 2.
Let be a language over an alphabet and be a word in for some . Define , the right quotient of by , by and , the left quotient of by , by . First we handle right quotients:
Lemma 3 If is starfree, then is starfree.
Proof: For any word over we define a function by where . If , then , and so the statement of the lemma trivially holds. So let for some string and character . Note that . Thus for all . Hence it suffices to define for any single character by recursion on . We have:
and recursively:
In general, if , then
Lemma 4 If is starfree, then is starfree.
The proof of Lemma 4 is similar to the proof of Lemma 3. The main differences lie in the concatenation subcase for the case and the order of quotienting when using this operation repeatedly.
Proof: For any word over we define a function by where . If , then , and so the statement of the lemma trivially holds. So let for some string and character . Note that . Thus for all . Hence it suffices to define for any single character by recursion on . We have:
and recursively:
In general, if , then
Open Problems
There are richer systems such as and . Note that allows defining the relation via . We can define nonregular languages such as in . The class famously equals uniform , see chapter 5 of Neil Immerman's book Descriptive Complexity. Thus we hope our new style for proving (to come in the next part) will build a nice foundation for visualizing these higher results.
SF = FO[<] is known as Theorem of Schützenberger. What is not very wellknown is that
Schützenberger gave another characterization of SF in terms of regular expressions:
A language is starfree iff it expressible by regular expressions where the use of the star
operation is only allowed over (prefix?)codes of bounded synchronization delay.
Thanks. More detail is available in this 2007 survey, and we followed its ascriptions.
SInce FO[<] is in my mind an alias of SF, I made this mistake. Sch. related automata and syntactic monoids to expressions, while the relations to logic are off course due to M.+P. Sorry for that.
NB: The reference to Schützenberger's other characterization of SF was given to me by one of the authors of the survey.
Maybe I misunderstood something. I think the proposal for defining equality in FOL[<] contains a typo? Doesn't seem to be wellformed. If I'm mistaken, please clarify. thanks!
Given only ‘<', you'd want to say neither i < j nor j < i.
Thanks! Something went strange in the translation of “lor” and “land” and only there. I think what happened is that the text “neither i j” made the middle part get parsed as an HTML anglebracket item. Hard to spot… Added: in fact, it happened again or “neither i < j nor i > j, and probably to you in your first comment… So “neither I < j nor j < i" it has to be…
This is great! I really enjoyed reading through this article.
Thank yo so much