1. Suppose we have successfully formalized the classification theorem for finite simple groups in your favorite theorem prover (Lean, HOL, Coq, Mizar, whatever). In a century's time (or several centuries from now), do you think your theorem prover will still be around and backwards compatible? If not, what good would the formalization be?
1.1. Remark (Concerns have been partially realized). We stress, despite the concerns raised being hypothetical and distant, they have been partly realized already. The Automath project's efforts to translate Landau's Foundations of Analysis would have been lost to history but for Freek Wiedijk's heroic efforts. Or, hitting closer to home for many, Lean 3 broke compatibility with Lean 2; and, as I understand it, there still remains a large quantity of Lean 2 libraries not yet ported. Worse, Lean 4 broke compatibility with Lean 3, and the Xena project's library has not yet ported to Lean 4. The idea that we would encode mathematical knowledge in one single theorem prover seems riskier than encoding it in natural language. Why not try to have the best of both worlds?
2. Readable Proofs. One of the roles for proofs in mathematics is communication. Hence we need something analogous to the notion of "readable code" in programming: readable proofs. Consider the following proof, tell me what it does (no cheating!):
prove ('!p q. p * p = 2 * q * q ==> q = 0', MATCH_MP_TAC num_WF THEN REWRITE_TAC[RIGHT_IMP_FORALL_THM] THEN REPEAT STRIP_TAC THEN FIRST_ASSUM(MP_TAC o AP_TERM 'EVEN') THEN REWRITE_TAC[EVEN_MULT; ARITH] THEN REWRITE_TAC[EVEN_EXISTS] THEN DISCH_THEN(X_CHOOSE_THEN 'm:num' SUBST_ALL_TAC) THEN FIRST_X_ASSUM(MP_TAC o SPECL ['q:num'; 'm:num']) THEN POP_ASSUM MP_TAC THEN CONV_TAC SOS_RULE);;
Or the following:
Proof. rewrite EL2 with (p_prime := p_prime) (p_odd := p_odd) by (omega || auto). rewrite EL2 with (p_prime := q_prime) (p_odd := q_odd) by (omega || auto). rewrite m1_pow_compatible. rewrite <- m1_pow_morphism. f_equal. rewrite <- QR6. unfold a. unfold b. auto. rewrite <- Zmult_0_r with (n := (p - 1) / 2). apply Zmult_ge_compat_l. omega. omega. Qed.
I honestly wouldn't guess the first example had to do with proving ${\sqrt{2}\notin\mathbb{Q}}$, nor would I have imagined the second had to do with the law of quadratic recipricocity. (The first in HOL Light, the second in Coq.) What do you suppose mathematicians of the 25th century would think of these proofs? Would our efforts formalizing mathematics in a theorem prover yield fruit akin to Euclid's Elements, or would it be more indecipherable than Russell and Whitehead's Principia?
Hence, I would like to assess the following question:
3. Puzzle. What qualities make a proof "readable"?
4. Sources. We're not in the wilderness on this matter. Some very smart people have thought very hard about this question. But we haven't progressed much in the past few decades, compared to designing programming languages. We all seem to draw waters from the same well.
Andrzej Trybulec created Mizar [10] specifically for readability. Over the years, Mizar went from an abstract idea to a concrete realization, iteratively improving its input language to make it resemble a working mathematician's proofs. A cynical critic may deride Mizar as merely natural deduction in Pascal syntax, but that concedes the point: it's readable and understandable on its own, without relying on the computer to tell us the "proof state" and remaining goals in a proof. (Empirically, it turns out that Mizar reflects how mathematicians write, based on a cursory glance at 40k articles; see Josef Urban's email to the Mizar mailing list.)
(For our earlier examples, I personally think that Mizar's proof of the theorem of quadratic recipricocity, Th49 of int_5.miz
, while long, is clear and readable...even if I don't fully understand Mizar. Similarly, the proof that $\sqrt{2}\notin\mathbb{Q}$ is the first theorem in irrat_1.miz
. It's longer than I would find in a textbook, as are all formal proofs, but I have no difficulty making sense of it.)
The other major source of inspiration, I think, is Mark Wenzel's Isar front-end for Isabelle [13] (and enlightening discussion of a prototype [12]). Here the system emerges bottom-up, as discussed in §3.2 of Wenzel's thesis [13]. Other theorem provers attempted to simply copy/paste Isar commands, but apparently they never caught on. I suspect this is due to copying the superficialities, rather than drawing upon the underlying principles, produced an awkward input language.
There are other sources worth perusing, like Zammit's "Structured Proof Language" [17] among others. We also mention Isar inspired many prototypes to adapt Mizar-style proofs to other theorem provers (Corbineau's Czar [2], Giero and Wiedijk's MMode [3], Harrison's Mizar Mode for HOL [4]). Also worth mentioning is ForTheL [11] which emerged from the Soviet SAD theorem prover [9], possibly a future input language for Lean.
I especially want to point out ForTheL [11] as a stand-out, partly because it was designed behind the Iron Curtain, and partly because it's more of a controlled language which resembles natural language.
5. Declarative proofs. One bit of terminology, John Harrison [5] calls the structured proof style "declarative style proofs", which seems fine. Some fanatics of the procedural camp dislike the term. Giero and Wiedijk [3] point out the differences between procedural and declarative styles are:
- a procedural proof generally run backward (from goal to the assumptions), whereas declarative proofs run mostly forwards (from the assumptions to the goal);
- a procedural proof generally does not have statements containing the statements which occur in the proof states, whereas declarative proofs do;
- a procedural proofs have few proof cuts, whereas declarative proofs have nearly one cut for each proof step.
It turns out these qualities do make a difference on the readability of a proof script. But this is a bit like trying to learn an author's writing style by examining the statistics of the author's writing, like "Average number of words per sentence" or "Average number of syllables per word".
6. Natural deduction, vernacular. A key insight worth discussing further is that declarative/structured proofs emerge from the natural deduction calculus. Curiously, Jaśkowski [6] (who invented natural deduction independent of, and earlier than, Gentzen) does this in his original paper. Wiedijk [15] considers this avenue using a formal grammar for the proof steps, leaving notions like "term" and "formula" [i.e., the heart of a proposition/theorem] informal. So far, so good; but this has been predominantly first-order logic. How do we articulate readable proofs for type theory?
7. We construct proof steps for a declarative proof style by assigning "keywords" to rules of inference in natural deduction.
The problem with trying to find a readable proof format from natural deduction for type theory is, well, there are a lot more inference rules in the calculus of constructions (as opposed to, say, first-order logic).
The Lean4 developers have unwittingly started the road to reinventing lambda-typed lambda calculus, which has fewer rules and ostensibly could be encoded into a declarative proof style input.
8. One linguistic avenue may be found in de Bruijn's "mathematical vernacular" [1], which then evolved into WTT [7].
8.1. Remark (Soft typing). What's worth noting is de Bruijn [1] states in §1.17, "In particular we have a kind of meta-typing (the 'high typing', see Section 3.6) in the language, whereas most other systems would have such things in the metalanguage." We now call such 'high typing' either 'soft typing' [16], or 'semi-soft typing' [8].
9. Another avenue would be to weaken existing structured proof formats, so they become independent of foundations (e.g., instead of writing "${x\in\mathbb{N}}$", we would write "${x}$ be a natural number" — type theory provers would translate this into "${x{:}\mathbb{N}}$", and set theory provers would translate this into "${x\in\mathbb{N}}$" as before).
If GNU Hurd's failures have taught us anything about engineering, it's that "a bird in the hand is worth two in the bush." That is to say, it's wiser to take an existing working framework, and modify it slowly until it becomes what we want.
10. Conclusion? If this post seems less-than-satisfying, that's probably because I've only identified a problem. No solutions have been offered. That's because this is a hard problem somewhere between language design (very hard) and mathematical logic. Since we lack a robust framework for designing languages, this is far more of an art than science.
Although we have fewer than a half-dozen examples of declarative proof styles (really, maybe 3?), we have some avenues of exploration. But the design space may be much larger than we realize: we just lack the tools to describe it adequately.
One closing thought I'd pass off, though, is that type theorists encode logic in a rather protracted manner. It may be that structured proofs for type theory would be forced to "compile down" into many more steps, or maybe we just haven't adequately found a way to connect type theory to working mathematics.
Bibliography
- Nick de Bruijn,
"The Mathematical Vernacular".
In Proceedings of the workshop on programming logic
(eds. Peter Dybjer, Bengt Nordstrom, Kent Petersson, et al.),
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See also F.3 of Selected Papers on Automath for a revised version of this manuscript. - Pierre Corbineau, "A Declarative Language For The Coq Proof Assistant". In Marino Miculan, Ivan Scagnetto, and Furio Honsell, editors, Types for Proofs and Programs, International Conference, TYPES 2007, Cividale des Friuli, Italy, May 2-5, 2007, Revised Selected Papers, volume 4941 of Lecture Notes in Computer Science, pages 69–84. Springer, 2007. https://kluedo.ub.uni-kl.de/frontdoor/deliver/index/docId/2100/file/B-065.pdf
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- Vincent Zammit, (1999) "On the Readability of Machine Checkable Formal Proofs". PhD Thesis, Kent University, 1999. https://kar.kent.ac.uk/21861/