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Hyperformalism for Relevant Modal Logics

This paper extends the concept of hyperformalism to relevant modal logics by introducing MPos-hyperformalism, proving that the weak logic B-Box possesses this property, investigating its closure under specific non-uniform substitutions, refining the variable sharing property, and defining K-MPos as the largest MPos-hyperformal sublogic of classical modal logic K.

Original authors: Thomas Macaulay Ferguson (Rensselaer Polytechnic Institute), Shay Allen Logan (Kansas State University)

Published 2026-07-01
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Original authors: Thomas Macaulay Ferguson (Rensselaer Polytechnic Institute), Shay Allen Logan (Kansas State University)

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you are a strict librarian in a library of logic. In this library, every book (or formula) is made of sentences built from basic building blocks called "atoms" (like pp, qq, rr).

The Old Way: The Uniform Rule

Traditionally, librarians followed a simple rule: Uniform Substitution.
If a book says, "If pp happens, then pp happens again," and you decide to swap the letter pp for the word "Rain," you must swap every single instance of pp with "Rain."

  • Before: If it rains, it rains.
  • After: If it rains, it rains.
    You can't change just one pp to "Rain" and the other to "Snow." They are treated as the exact same thing, everywhere.

The New Idea: Hyperformalism

The authors of this paper introduce a much more flexible, "hyper" way of organizing the library called Hyperformalism.

Imagine a special kind of librarian who looks at where a word appears in a sentence. They realize that two instances of the same letter might actually be doing different jobs depending on their location.

  • The Analogy: Think of a word appearing in a sentence as a person wearing a different hat depending on where they stand in a room.
    • If pp is standing alone, it wears a "Red Hat."
    • If pp is standing inside a box (a conditional statement like "If... then..."), it wears a "Blue Hat."
    • If pp is standing inside a box inside another box, it wears a "Green Hat."

In a Hyperformal logic, the librarian says: "Because the pp in the Red Hat is in a different spot than the pp in the Green Hat, they are actually different people." You can swap the Red-Hat pp with "Rain" and the Green-Hat pp with "Snow" without breaking the rules of the library.

This paper shows that this "different hats" approach works incredibly well for Relevant Logics (logics that demand the "if" part of a sentence actually has something to do with the "then" part).

Adding the "Box" (Modal Logic)

The paper takes this idea a step further by adding Modal Logic (the logic of "necessity" or "possibility," represented by a box symbol \square).

  • In standard logic, p\square p means "It is necessary that pp."
  • The authors ask: Does the "hat" system work when we have these boxes?

They define a new system called MPos-hyperformalism. Here, the "hat" (or position) of a letter depends on:

  1. How many boxes it is inside.
  2. Whether it is on the left or right side of an "If/Then" statement.
  3. Whether it is negated (inside a "Not" statement).

The Big Discovery (Theorem 2.1):
The authors prove that a specific, very weak logic called BB_\square is "MPos-hyperformal."

  • What this means: In this logic, you can treat every single instance of a letter as a unique individual based on its exact location in the sentence structure. If a sentence is a valid theorem, it will remain valid even if you swap different instances of the same letter with completely different words, as long as you respect their "hats" (positions).

The "Variable Sharing" Rule

Relevant logics have a golden rule: Variable Sharing.

  • The Rule: In a valid "If AA, then BB" statement, AA and BB must share at least one common ingredient (a variable). You can't say "If the moon is made of cheese, then I am a potato" because they share nothing.
  • The Twist: Because of the "hat" system, the authors found that in BB_\square, the shared ingredient must be in the same type of hat.
    • If pp is shared, it must be in the same number of boxes in both the "If" part and the "Then" part.
    • This creates a very strict, precise version of relevance.

The "Grand Champion" Logic: KMPosK_{MPos}

The paper also introduces a new logic called KMPosK_{MPos}.

  • Think of KK as the "Classical" library, which is huge and allows almost anything.
  • The authors asked: "What is the largest possible section of the Classical library that still follows our strict 'Hat' rules (Hyperformalism)?"
  • They found it: KMPosK_{MPos}.

Why is KMPosK_{MPos} special?

  1. It's the biggest: It contains every possible sentence that fits the "Hat" rules.
  2. It's safe: Unlike some other "relevant" logics that are just classical logic with a "sieve" (a filter) slapped on top, KMPosK_{MPos} is built from the ground up to be consistent.
  3. It doesn't break: The authors prove that this logic is transitive.
    • Analogy: If "If A then B" is true, and "If B then C" is true, then "If A then C" is definitely true. Some weird "relevant" logics break this chain, but KMPosK_{MPos} keeps it intact.

Summary of the Authors' Conclusion

The authors are essentially saying:
"We have shown that the 'different hats' approach (MPos-hyperformalism) works perfectly for weak relevant logics like BB_\square. But if you want the strongest, most robust logic that still follows these rules, you shouldn't stick with BB_\square. You should look at KMPosK_{MPos}."

They challenge other logicians: "If you prefer the old, weaker logics, you need to give us a good reason why. If your reason isn't about 'variable sharing' or 'classicality,' then you might be missing out on the superior KMPosK_{MPos}."

In short: The paper builds a new, highly organized system for logic where the location of a word determines its identity, proves this system works for specific types of logic, and then finds the "ultimate" version of this system that is stronger and more reliable than previous attempts.

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