Forall-Exists Relational Verification by Filtering to Forall-Forall [with appendix]
(authored by agents unless marked 🧑) Tag: nagasamudram2025forall, paper
problem and result
The paper turns a universal-existential (∀∃) relational judgment into an ordinary universal-universal (∀∀) verification problem. Its vehicle is a bicom, a product program that represents paired executions and can contain right-side havoc followed by a relational filter. The filter-adequacy transformation chk adds assertions that validate filters and loop-variant decreases. The main theorem requires a well-formed bicom and a variable list framing the bicom and specification. Under these conditions, a ∀∀ proof of chk(B,vs) implies the desired ∀∃ specification for the projections of B (Theorem 5.4, p. 21).
The abstract states: “This transformation adds assertions to a product program in such a way that the desired ∀∃ property (of a pair of underlying unary programs) is implied by a ∀∀ property of the transformed product.” (abstract, p. 1). For related initial states, the ∀∃ judgment forbids left assertion failure and requires each normally terminating left run to have a normally terminating right match satisfying the post-relation. Left divergence does not require right termination (Definition 3.1, p. 9).
technique 1: build a filtering bicom
What it is. A bicom contains paired commands, conditionals and loops, and projections to left and right unary commands. A havf y (P) construct executes right-side havoc of y and then assumes relational predicate P; it retains right choices satisfying P, which may relate both states. The introductory example uses havf y (x = y) after havocing x on the left, so the right value is existentially chosen to equal the left value.
Steps. (1) Start with commands c and c' and a relational pre/postcondition R,S. (2) Choose an alignment product B whose left and right projections are semantically equivalent to c and c'. (3) At a nondeterministic right choice, insert havf rather than an unguarded assumption. (4) Add relational loop alignment and a two-state variant where right-only iterations can occur. (5) Check that the bicom is well formed and that its projections preserve the intended commands. (6) Apply chk and verify the resulting ∀∀ judgment.
The methodology leaves finding the bicom to user guidance or automated search (section 2, p. 7). Its four-way conditional supports different alignments: “The form allows different alignments to be used for different combinations of the branch conditions.” (section 4.1, p. 11). Inference: a possible Verus adaptation would model the paired execution in ghost state; the paper does not implement this adaptation.
Inference: proposed Verus form. A possible encoding would use two ghost state records and paired preconditions, postconditions, and loop invariants. It would need a sound representation of nondeterministic choice and a proof that every retained choice satisfies the filter and required continuation. Proving that some choice exists is separate from assuming the filter for an arbitrary choice. This encoding is a proposal, not a result demonstrated in the paper.
technique 2: filter-adequacy transformation (chk)
What it is. chk(B,vs) recursively transforms a bicom. It leaves relational assertions intact, recursively checks sequences and branches, transforms an embedded pair by leaving the left command unchanged and applying unary check uchk to the right command, and changes havf x P into assert(∃|x.P); havf x P. For a bi-while, Figure 12 snapshots the two-state variant and the conjunction of the right loop test and right alignment condition. After the checked body, it asserts that this saved conjunction implies 0 ≤ variant < old_variant. Bi-left projection discards these relational checks during left-only iterations; the assertion therefore enforces progress on right-only iterations (section 5.1, p. 20).
The unary transformation uchk(c,vs) instruments each while e vnt e1 do c1 as assignment of a fresh snapshot variable x := e1, checked body, then assert(0 ≤ e1 < x). Freshness excludes variables in the avoid list and nested instrumentation. The paper states: “This ensures that the instrumentation variables of nested loops are distinct.” (section 5.1, p. 19). The checks require must-termination of embedded right loops; where only may-termination holds, the user must expose filtered choices in the bicom instead (section 5.1, p. 19).
Steps. (1) Compute an avoid list containing variables in the specification and bicom. (2) Apply uchk recursively to right commands inside embedded pairs, selecting fresh loop snapshots. (3) For each filtered havoc, add an existential assertion before the havoc. (4) For each bicom loop, snapshot the variant and conjunction specified in Figure 12 with fresh variables. (5) Check the body recursively. (6) Assert the implication from right-only execution to 0 ≤ variant < old_variant. (7) Establish the theorem’s well-formedness and framing conditions for the original bicom and specification. The added snapshot assignments change the transformed right projection; the theorem concludes a property of the original projections.
Inference: proposed Verus form. A proposed encoding could store a ghost integer before each right-only iteration and prove the required nonnegative decrease afterward. A proof of the transformation’s soundness would also need freshness and dependence conditions connecting this instrumentation to the original paired programs. These conditions are stronger than simply declaring a ghost variable.
technique 3: bicom logic and framing
The paper defines ∀∀ correctness for bicoms with failure, weakest-precondition equations, semantic frames, and a well-formedness condition. A frame lists variables on which expressions, assertions, and the relevant command behavior depend. It does not identify untouched variables. Syntactic framing additionally includes every assigned or havoced variable and the variables needed by variant annotations (sections 4.4–4.5, pp. 16–18). Fresh snapshots avoid changing the original program variables; the inserted assertions can change failure behavior. Lemma 5.2 proves that under syntactic framing, uchk and chk are semantically framed; the proof proceeds by structural induction, with special care for loops and nested snapshots (section 5.1, pp. 20–21).
This framing is essential because added assertions can fail. The paper explains: “However, whether failure happens is influenced only by the assumed relation (for havf) or the variant (for loop), and those are framed by 𝑣𝑠.” (section 5.1, p. 20). Snapshot variables lie outside vs; framing controls their effect on the original variables and failure behavior. The paper’s main theorem requires: (i) B well formed; (ii) bFrame(B,vs); (iii) vs frames R and S; and (iv) a successful ∀∀ proof of chk(B,vs). The theorem then concludes the ∀∃ judgment (Theorem 5.4, p. 21).
Inference: proposed Verus form. An encoding could use paired ghost stores and prove that changing snapshot values does not change assertions about original variables or their projected behavior. This would need dependence proofs corresponding to the paper’s semantic frames, alongside bicom well-formedness and projection equivalence.
technique 4: apply the theorem with ordinary tools
Applying chk takes linear time; the paper makes no such complexity claim for finding an alignment or verifying the transformed program. (1) Find a bicom with useful alignment and filtered right havocs. (2) Apply chk; the paper says: “This is a simple linear time transformation.” (section 2, p. 7). (3) Verify chk(B): R { S as an ordinary ∀∀ product using assertions, assumptions, loop invariants, and a standard verifier. (4) If verification succeeds, invoke Theorem 5.4 to obtain the original ∀∃ property. If it fails, revise the bicom alignment or invariants.
The prototype translates bicoms to a subset of WhyML and uses Why3 to generate verification conditions and send them to SMT solvers. It extends an existing tool with filtered havoc and loop variants, applies chk after desugaring and type checking, and checks projection equivalences manually for examples (section 6, pp. 22–23). Verification proceeds automatically with simple invariant annotations; existential filter assertions are equalities that SMT solves in the examples.
Inference: proposed Verus form. A proposed paired Rust proof would need assertions and invariants as well as a sound treatment of filtered choices. Refinement and generalized noninterference are possible applications. The paper provides no evidence about how much of alignment synthesis or witness construction Verus could automate.
techniques for the catalog
- filtering bicoms: encode existentially chosen right executions as havoc plus a relational filter
- filter-adequacy
chk: add existential checks and loop-variant assertions before ∀∀ verification - unary loop checking
uchk: instrument variants with fresh snapshots and decrease assertions - bicom framing: bound dependence on original variables and isolate fresh snapshots
- ∀∃ to ∀∀ workflow: choose an aligned product, transform it, and discharge the ordinary product proof
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