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Logical harmony

Logical harmony is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Logical harmony rather than just read about it. In short: Logical harmony, a name coined by Michael Dummett, is a property on the rules of inference that a given logical system can satisfy. Overview The logician Gerhard Gentzen proposed that the meanings of logical connectives does not need to be defined by a world outside of logic, but could be given by the rules for using them within logic itself.

Key takeaways

  • Logical harmony belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Logical harmony to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Logical harmony from memory before moving on to harder problems.

Reference excerpt

Logical harmony, a name coined by Michael Dummett, is a property on the rules of inference that a given logical system can satisfy.

Overview The logician Gerhard Gentzen proposed that the meanings of logical connectives does not need to be defined by a world outside of logic, but could be given by the rules for using them within logic itself. For example, if one believes that the sky is blue and one also believes that grass is green, then one can introduce the connective and as follows: The sky is blue AND grass is green. Gentzen's idea was that such rules give meaning to one's words, or at least to logical connectives. The idea has also been associated with the Wittgensteinian notion that in many cases we can say, meaning is use. It is also called inferential role semantics, or inferentialism. In a natural deduction system, each logical connectives has two types of rules: the introduction rules and the elimination rules. In this case, and is introduced and eliminated by the following rules: P Q P ∧ Q , P ∧ Q P , P ∧ Q Q {\displaystyle {\frac {P\quad Q}{P\land Q}},\quad {\frac {P\land Q}{P}},\quad {\frac {P\land Q}{Q}}} An apparent problem with this was pointed out by Arthur Prior: Why can't we have an expression (call it "tonk") whose introduction rule is that of OR (from "p" to "p tonk q") but whose elimination rule is that of AND (from "p tonk q" to "q")? This lets us deduce anything at all from any starting point. Prior suggested that this meant that inferential rules could not determine meaning, i.e. inferentialism is false. Nuel Belnap responded that introduction and elimination rules can constitute meaning, provided that the rules must meet certain constraints, such as not allowing us to deduce any new truths in the old vocabulary. The concept of harmony formalizes this. The introduction and elimination rules of a logical connective are in harmony if in any proof, maximal formulas can be eliminated by normalizing the proof. A maximal formula is a formula that is introduced, then eliminated later. The idea is that such maximal formulas behave similarly to lemmas, and while they can make the proof easier to write and shorter, are not strictly necessary. A normalized proof ought to only introduce logical connectives, and never eliminate them. The deeper reason for such a demand is that, ideally, the introduction rules for a connective describes the conditions that can justify the connective. For example, A ∧ B {\displaystyle A\land B} is justified given a proof of A {\displaystyle A} and a proof of B {\displaystyle B} . On the other side, the elimination rules for a connective describes the conditions that the connective can justify. For example, a proof of A ∧ B {\displaystyle A\land B} justifies A {\displaystyle A} and also justifies B {\displaystyle B} . The idea of harmony is that what a connective justifies should be exactly the same as what justifies that connective. This is the main idea of Prawitz's "Inversion Principle". The application of harmony to mathematical logic may be considered a special case of the philosophical concept. It makes sense to talk of harmony with respect to not only inferential systems, but also conceptual systems in human cognition, and to type systems in programming languages. Semantics of this form has not provided a very great challenge to that sketched in Tarski's semantic theory of truth, but many philosophers interested in reconstituting the semantics of logic in a way that respects Ludwig Wittgenstein's meaning is use have felt that harmony holds the key.

References

External links harmony at Greg Restall's Proof and Consequence wiki (archive copy, July 2012)

Worked examples

Example 1 — a first encounter with Logical harmony

Start with the simplest possible case. Write down what Logical harmony claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Logical harmony before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Logical harmony ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Logical harmony

In research
Logical harmony appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Logical harmony in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Logical harmony is common in secondary-school and first-year university syllabi. It links to neighbouring topics Logic, Philosophy of logic, so understanding it makes those chapters shorter.
In everyday life
Look for Logical harmony outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Logical harmony in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Logical harmony means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Logical harmony out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Logical harmony in simple terms?

Logical harmony, a name coined by Michael Dummett, is a property on the rules of inference that a given logical system can satisfy. Overview The logician Gerhard Gentzen proposed that the meanings of logical connectives does not need to be defined by a world outside of logic, but could be given by…

Why does Logical harmony matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Logical harmony?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Logical harmony.

Tags

  • Logic
  • Philosophy of logic

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