The Size of Interpolants in Modal Logics
Pith reviewed 2026-05-17 23:41 UTC · model grok-4.3
The pith
Tabular modal logics reduce strongest implicates to polynomial-sized propositional interpolants, while non-tabular logics require exponential size.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For tabular modal logics, the computation of strongest implicates can be reduced in polynomial time to uniform interpolant computation in classical propositional logic. Hence they are of polynomial dag-size iff NP is included in P/poly. The reduction also holds for Craig interpolants and uniform interpolants if the tabular modal logic has the Craig interpolation property. For normal modal logics contained in or containing S4 or GL we obtain the following dichotomy: tabular logics have propositionally sized interpolants while for non-tabular logics an unconditional exponential lower bound holds.
What carries the argument
Tabularity of the modal logic (finitely many non-equivalent formulas per modal depth), which permits the polynomial-time reduction of modal strongest implicates to classical propositional uniform interpolants.
If this is right
- Strongest implicates in any tabular modal logic have polynomial DAG size precisely when NP is contained in P/poly.
- In tabular modal logics that possess the Craig interpolation property, both Craig interpolants and uniform interpolants inherit the same polynomial-size characterization.
- Almost all non-tabular standard normal modal logics have an unconditional exponential lower bound on the size of their Craig interpolants and strongest implicates.
- Any normal modal logic contained in or containing S4 or GL obeys a strict size dichotomy: polynomial when tabular, exponential when non-tabular.
Where Pith is reading between the lines
- The tabularity distinction may serve as a general classifier for interpolant complexity across wider families of modal logics beyond those containing or contained in S4 or GL.
- Practical modal logics that turn out to be tabular could support efficient interpolant-based algorithms in verification or knowledge-base tasks.
- The reduction technique might be adapted to obtain size bounds for related notions such as Beth definability in the same tabular setting.
Load-bearing premise
The logic must be tabular to obtain the polynomial upper bound via reduction and non-tabular to obtain the unconditional exponential lower bound.
What would settle it
An explicit non-tabular normal modal logic for which some Craig interpolant or strongest implicate has only polynomial DAG size would refute the exponential lower bound.
read the original abstract
We start a systematic investigation of the size of Craig interpolants, uniform interpolants, and strongest implicates for (quasi-)normal modal logics. Our main upper bound states that for tabular modal logics, the computation of strongest implicates can be reduced in polynomial time to uniform interpolant computation in classical propositional logic. Hence they are of polynomial dag-size iff NP is included in P/poly. The reduction also holds for Craig interpolants and uniform interpolants if the tabular modal logic has the Craig interpolation property. Our main lower bound shows an unconditional exponential lower bound on the size of Craig interpolants and strongest implicates covering almost all non-tabular standard normal modal logics. For normal modal logics contained in or containing S4 or GL we obtain the following dichotomy: tabular logics have ``propositionally sized'' interpolants while for non-tabular logics an unconditional exponential lower bound holds.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims that for tabular modal logics, the computation of strongest implicates reduces in polynomial time to uniform interpolant computation in classical propositional logic, implying they have polynomial DAG-size if and only if NP is included in P/poly. The reduction extends to Craig interpolants and uniform interpolants when the logic has the Craig interpolation property. For almost all non-tabular standard normal modal logics, the paper establishes unconditional exponential lower bounds on the size of Craig interpolants and strongest implicates. For normal modal logics contained in or containing S4 or GL, this yields a dichotomy: tabular logics admit propositionally sized interpolants while non-tabular ones have unconditional exponential lower bounds.
Significance. If the central reductions and bounds hold, the results deliver a clean complexity-theoretic classification of interpolant sizes across tabular and non-tabular modal logics, directly tying modal interpolation to the propositional case and the P/poly question. The unconditional exponential lower bounds for non-tabular logics and the resulting dichotomy for logics around S4 and GL constitute a substantial advance, providing falsifiable predictions that distinguish broad classes of modal logics by interpolant size.
major comments (1)
- [Reduction for tabular logics (likely §4 or the main technical section establishing the upper bound)] The central upper-bound claim (abstract and the reduction for tabular logics) asserts a polynomial-time reduction from strongest-implicate computation to propositional uniform interpolation. However, tabularity only guarantees finitely many non-equivalent formulas per modal depth; this finite number is typically exponential (or worse) in the depth. The manuscript must specify the exact encoding used in the reduction and demonstrate that it can be constructed in polynomial time without explicit enumeration of equivalence classes, as any such enumeration would produce an exponential-size propositional instance and undermine both the polynomial-time claim and the subsequent complexity equivalence.
Simulated Author's Rebuttal
We thank the referee for their careful and constructive report. The comment on the reduction for tabular logics raises an important point about clarity in the presentation of the polynomial-time claim. We address it below and will revise the manuscript accordingly.
read point-by-point responses
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Referee: The central upper-bound claim (abstract and the reduction for tabular logics) asserts a polynomial-time reduction from strongest-implicate computation to propositional uniform interpolation. However, tabularity only guarantees finitely many non-equivalent formulas per modal depth; this finite number is typically exponential (or worse) in the depth. The manuscript must specify the exact encoding used in the reduction and demonstrate that it can be constructed in polynomial time without explicit enumeration of equivalence classes, as any such enumeration would produce an exponential-size propositional instance and undermine both the polynomial-time claim and the subsequent complexity equivalence.
Authors: We agree that the current presentation of the reduction in Section 4 could be clearer on this point. The reduction does not enumerate equivalence classes explicitly. Instead, it constructs a propositional formula whose variables are in one-to-one correspondence with the subformulas of the input modal formula (together with the propositional atoms), and tabularity is used only to guarantee that the uniform interpolant in the resulting propositional instance correctly captures the strongest implicate. Because the construction follows the syntax tree of the input formula, its size and running time remain polynomial in the size of the input; no enumeration of the (potentially exponential) set of types is performed. We will add a detailed description of this encoding together with a formal argument that the reduction avoids explicit enumeration, thereby preserving the polynomial-time bound and the complexity-theoretic equivalence. revision: yes
Circularity Check
No circularity: upper and lower bounds derived from independent reductions and frame arguments
full rationale
The paper establishes its main results through explicit polynomial-time reductions from strongest-implicate computation in tabular modal logics to uniform interpolant computation in propositional logic, plus direct exponential lower-bound arguments on non-tabular frames. These steps rely on the standard definition of tabular logics (finitely many inequivalent formulas per modal depth) and the Craig interpolation property when invoked, without any self-definitional equations, fitted parameters renamed as predictions, or load-bearing self-citations whose justification collapses back into the current paper. The derivation chain is therefore self-contained and externally verifiable against existing modal-logic complexity results.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Standard Kripke semantics and axioms for normal modal logics (including S4 and GL).
Lean theorems connected to this paper
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IndisputableMonolith/Foundation/AbsoluteFloorClosure.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Theorem 1.1: poly-time reduction of strongest L(σ)-implicates in tabular quasi-normal modal logics to uniform interpolants in propositional logic via trL/rtL and abstract Φ-models
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IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Theorem 6.1 and exponential-growth property used for unconditional exponential lower bounds on non-tabular logics containing S4 or GL
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
Noga Alon and Ravi B. Boppana. The monotone circuit complexity of boolean functions. Comb. , 7(1):1--22, 1987. https://doi.org/10.1007/BF02579196 doi:10.1007/BF02579196
-
[2]
Computational Complexity - A Modern Approach
Sanjeev Arora and Boaz Barak. Computational Complexity - A Modern Approach . Cambridge University Press, 2009. URL: http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521424264
work page 2009
-
[3]
Alessandro Artale, Jean Christoph Jung, Andrea Mazzullo, Ana Ozaki, and Frank Wolter. Living without B eth and C raig: Definitions and interpolants in description and modal logics with nominals and role inclusions. ACM Trans. Comput. Log. , 24(4):34:1--34:51, 2023. https://doi.org/10.1145/3597301 doi:10.1145/3597301
-
[4]
Uniform interpolation and propositional quantifiers in modal logics
Marta B \' lkov \' a . Uniform interpolation and propositional quantifiers in modal logics. Stud Logica , 85(1):1--31, 2007. URL: https://doi.org/10.1007/s11225-007-9021-5, https://doi.org/10.1007/S11225-007-9021-5 doi:10.1007/S11225-007-9021-5
-
[5]
Patrick Blackburn, Maarten de Rijke, and Yde Venema. Modal Logic . Cambridge Tracts in Theoretical Computer Science. Cambridge University Press, 2001
work page 2001
-
[6]
Chagrov and Michael Zakharyaschev
Alexander V. Chagrov and Michael Zakharyaschev. Modal Logic , volume 35 of Oxford logic guides . Oxford University Press, 1997
work page 1997
-
[7]
Logical questions concerning the mu-calculus: Interpolation, lyndon and los-tarski
Giovanna D'Agostino and Marco Hollenberg. Logical questions concerning the mu-calculus: Interpolation, lyndon and los-tarski. J. Symb. Log. , 65(1):310--332, 2000. https://doi.org/10.2307/2586539 doi:10.2307/2586539
-
[8]
Mechanised uniform interpolation for modal logics k, gl, and isl
Hugo F \' e r \' e e, Iris van der Giessen, Sam van Gool, and Ian Shillito. Mechanised uniform interpolation for modal logics k, gl, and isl. In Christoph Benzm \" u ller, Marijn J. H. Heule, and Renate A. Schmidt, editors, Automated Reasoning - 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3-6, 2024, Proceedings, Part II , volume 1...
-
[9]
Craig's interpolation theorem for modal logics
Dov M Gabbay. Craig's interpolation theorem for modal logics. In Conference in mathematical logic—London’70 , pages 111--127. Springer, 1972
work page 1972
-
[10]
Dov M. Gabbay and Larisa Maksimova. Interpolation and Definability: Modal and Intuitionistic Logics . Oxford University Press, 2005
work page 2005
-
[11]
Oxford Univer- sity Press (2018).https://doi.org/10.1093/oso/9780198814788.001.0001
Dov M. Gabbay and Larisa Maksimova. Interpolation and Definability: Modal and Intuitionistic Logics . Oxford University Press, 05 2005. https://doi.org/10.1093/acprof:oso/9780198511748.001.0001 doi:10.1093/acprof:oso/9780198511748.001.0001
work page doi:10.1093/acprof:oso/9780198511748.001.0001 2005
-
[12]
Silvio Ghilardi, Carsten Lutz, Frank Wolter, and Michael Zakharyaschev. Conservative extensions in modal logic. In Guido Governatori, Ian M. Hodkinson, and Yde Venema, editors, Advances in Modal Logic 6, papers from the sixth conference on "Advances in Modal Logic," held in Noosa, Queensland, Australia, on 25-28 September 2006 , pages 187--207. College Pu...
work page 2006
-
[13]
Silvio Ghilardi and Marek W. Zawadowski. Undefinability of propositional quantifiers in the modal system S4 . Stud Logica , 55(2):259--271, 1995
work page 1995
-
[14]
Modal separation of fixpoint formulae
Jean Christoph Jung and Jedrzej Kolodziejski. Modal separation of fixpoint formulae. In Olaf Beyersdorff, Michal Pilipczuk, Elaine Pimentel, and Kim Thang Nguyen, editors, 42nd International Symposium on Theoretical Aspects of Computer Science, STACS 2025, March 4-7, 2025, Jena, Germany , volume 327 of LIPIcs , pages 55:1--55:20. Schloss Dagstuhl - Leibni...
-
[15]
Computation of interpolants for description logic concepts in hard cases
Jean Christoph Jung, J e drzej Ko odziejski, and Frank Wolter. Computation of interpolants for description logic concepts in hard cases. arXiv preprint arXiv:2507.15689 , 2025
-
[16]
Separating data examples by description logic concepts with restricted signatures
Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, and Frank Wolter. Separating data examples by description logic concepts with restricted signatures. In Meghyn Bienvenu, Gerhard Lakemeyer, and Esra Erdem, editors, Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, Online event, November 3-...
-
[17]
In: 2021 36th Annual ACM/IEEE Sym- posium on Logic in Computer Science (LICS)
Jean Christoph Jung and Frank Wolter. Living without beth and craig: Definitions and interpolants in the guarded and two-variable fragments. In 36th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2021, Rome, Italy, June 29 - July 2, 2021 , pages 1--14. IEEE , 2021. https://doi.org/10.1109/LICS52264.2021.9470585 doi:10.1109/LICS52264.2021.9470585
-
[18]
Turing machines that take advice
Richard Karp. Turing machines that take advice. Enseign. Math. , 28:191--209, 1982
work page 1982
-
[19]
Some connections between nonuniform and uniform complexity classes
Richard M Karp and Richard J Lipton. Some connections between nonuniform and uniform complexity classes. In Proceedings of the twelfth annual ACM symposium on Theory of computing , pages 302--309, 1980
work page 1980
-
[20]
Interpolation in classical propositional logic, 2025
Patrick Koopmann, Christoph Wernhard, and Frank Wolter. Interpolation in classical propositional logic, 2025. URL: https://arxiv.org/abs/2508.11449, https://arxiv.org/abs/2508.11449 arXiv:2508.11449
-
[21]
Tools and Techniques in Modal Logic
Marcus Kracht. Tools and Techniques in Modal Logic . Elsevier, 1999
work page 1999
-
[22]
A non-uniform view of C raig interpolation in modal logics with linear frames
Agi Kurucz, Frank Wolter, and Michael Zakharyaschev. A non-uniform view of C raig interpolation in modal logics with linear frames. CoRR , abs/2312.05929, 2023
-
[23]
The ghosts of forgotten things: A study on size after forgetting
Paolo Liberatore. The ghosts of forgotten things: A study on size after forgetting. Ann. Pure Appl. Log. , 175(8):103456, 2024. URL: https://doi.org/10.1016/j.apal.2024.103456, https://doi.org/10.1016/J.APAL.2024.103456 doi:10.1016/J.APAL.2024.103456
-
[24]
Carsten Lutz and Frank Wolter. Foundations for uniform interpolation and forgetting in expressive description logics. In IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011 , pages 989--995. IJCAI/AAAI , 2011. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-170 doi:...
-
[25]
Maarten Marx. Interpolation in modal logic. In Proceedings of the 7th International Conference on Algebraic Methodology and Software Technology, AMAST 1998 , pages 154--163. Springer, 1998
work page 1998
-
[26]
A lower bound for the complexity of C raig's interpolants in sentential logic
Daniele Mundici. A lower bound for the complexity of C raig's interpolants in sentential logic. Arch. Math. Log. , 23(1):27--36, 1983. https://doi.org/10.1007/BF02023010 doi:10.1007/BF02023010
-
[27]
Exponential lower bounds on definable fixed points
Konstantinos Papafilippou and David Fern \' a ndez - Duque. Exponential lower bounds on definable fixed points. In J \" o rg Endrullis and Sylvain Schmitz, editors, 33rd EACSL Annual Conference on Computer Science Logic, CSL 2025, February 10-14, 2025, Amsterdam, Netherlands , volume 326 of LIPIcs , pages 25:1--25:19. Schloss Dagstuhl - Leibniz-Zentrum f ...
-
[28]
Andrew M. Pitts. On an interpretation of second order quantification in first order intuitionistic propositional logic. J. Symb. Log. , 57(1):33--52, 1992. https://doi.org/10.2307/2275175 doi:10.2307/2275175
-
[29]
Lower bounds on the monotone complexity of some boolean functions
Alexander Alexandrovich Razborov. Lower bounds on the monotone complexity of some boolean functions. In Doklady Akademii Nauk , volume 281, pages 798--801. Russian Academy of Sciences, 1985
work page 1985
-
[30]
Formulas versus circuits for small distance connectivity
Benjamin Rossman. Formulas versus circuits for small distance connectivity. SIAM J. Comput. , 47(5):1986--2028, 2018. https://doi.org/10.1137/15M1027310 doi:10.1137/15M1027310
-
[31]
A note on the size of C raig interpolants
Uwe Sch \" o ning and Jacobo Tor \' a n. A note on the size of C raig interpolants. In Thomas Schwentick, Denis Th \' e rien, and Heribert Vollmer, editors, Circuits, Logic, and Games, 08.11. - 10.11.2006 , volume 06451 of Dagstuhl Seminar Proceedings . Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, 20...
work page 2006
-
[32]
Uniform interpolation in coalgebraic modal logic
Fatemeh Seifan, Lutz Schr \" o der, and Dirk Pattinson. Uniform interpolation in coalgebraic modal logic. CoRR , abs/2205.00448, 2022. URL: https://doi.org/10.48550/arXiv.2205.00448, https://arxiv.org/abs/2205.00448 arXiv:2205.00448 , https://doi.org/10.48550/ARXIV.2205.00448 doi:10.48550/ARXIV.2205.00448
-
[33]
Definitorially complete description logics
Balder ten Cate, Willem Conradie, Maarten Marx, and Yde Venema. Definitorially complete description logics. In Proc.\ of KR , pages 79--89, 2006
work page 2006
-
[34]
Beth definability in expressive description logics
Balder ten Cate, Enrico Franconi, and Inan c Seylan. Beth definability in expressive description logics. J. Artif. Intell. Res. , 48:347--414, 2013
work page 2013
-
[35]
Uniform interpolation via nested sequents and hypersequents
Iris van der Giessen, Raheleh Jalali, and Roman Kuznets. Uniform interpolation via nested sequents and hypersequents. J. Log. Comput. , 35(6), 2025. URL: https://doi.org/10.1093/logcom/exae053, https://doi.org/10.1093/LOGCOM/EXAE053 doi:10.1093/LOGCOM/EXAE053
-
[36]
o del'96: Logical foundations of mathematics, computer science and physics---Kurt G \
Albert Visser et al. Uniform interpolation and layered bisimulation. In G \"o del'96: Logical foundations of mathematics, computer science and physics---Kurt G \"o del's legacy , pages 139--164. Association for Symbolic Logic, 1996
work page 1996
-
[37]
Frank Wolter and Michael Zakharyaschev. Modal decision problems. In Patrick Blackburn, J. F. A. K. van Benthem, and Frank Wolter, editors, Handbook of Modal Logic , volume 3 of Studies in logic and practical reasoning , pages 427--489. North-Holland, 2007. URL: https://doi.org/10.1016/s1570-2464(07)80010-3, https://doi.org/10.1016/S1570-2464(07)80010-3 do...
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