Logic III: Quantification and Its Rules, Axiomatic Systems, Fallacies, and Deduction and Induction

This chapter completes Unit 9. It takes "Quantification and Rules of Quantification", "Axiomatic System, Consistency, Completeness", "informal and formal Fallacies" and "Differences between Deductive and Inductive Logic". Quantification extends propositional logic to the internal structure of statements, so that arguments such as "all humans are mortal; Socrates is human; so Socrates is mortal" can be proved; the four quantifier rules and their restrictions are the part most often tested. Axiomatic systems are treated at the conceptual level the syllabus asks for, with the metalogical properties of consistency, completeness, soundness and decidability. The fallacies are classified, and the chapter ends with the difference between deduction and induction, correcting a common textbook mistake.

1. Quantification: symbolising general propositions

A singular proposition predicates something of an individual: "Socrates is human" is Hs, with a capital letter for the predicate and a small letter (a to w) for the individual constant. Replacing the constant by a variable gives a propositional function, Hx, which is neither true nor false until the variable is either replaced by a constant or bound by a quantifier. The universal quantifier (x), read "for every x", and the existential quantifier (∃x), read "there is at least one x such that", turn propositional functions into general propositions.

The four categorical forms in quantifier notation
FormStatementSymbolisation
AAll S are P(x)(Sx ⊃ Px)
ENo S are P(x)(Sx ⊃ ~Px)
ISome S are P(∃x)(Sx · Px)
OSome S are not P(∃x)(Sx · ~Px)
⚠️ ⊃ with the universal, · with the existential
"All S are P" is not (x)(Sx · Px), which says everything is both S and P. "Some S are P" is not (∃x)(Sx ⊃ Px), which is true if there is anything at all that is not S, since a conditional with a false antecedent is true. The universal forms carry no existential import, which is why the symbolisation matches the Boolean square: A and O, and E and I, are contradictories, and nothing else follows.

Quantifier negation (QN) links the two quantifiers: ~(x)Fx is equivalent to (∃x)~Fx ("not everything is F" means "something is not F"), and ~(∃x)Fx is equivalent to (x)~Fx ("nothing is F" means "everything is non-F"). Equally, (x)Fx ≡ ~(∃x)~Fx and (∃x)Fx ≡ ~(x)~Fx. QN is a rule of replacement and may be applied to parts of lines.

2. The rules of quantification and their restrictions

UI, EI, UG and EG
RuleFormRestriction
Universal instantiation (UI)(x)Fx ∴ Fa (or Fy)None: whatever is true of everything is true of any individual
Existential generalisation (EG)Fa ∴ (∃x)FxNone: if a particular individual is F, something is F
Existential instantiation (EI)(∃x)Fx ∴ FaThe constant must be new: it may not occur earlier in the proof (or in the conclusion), since all we know is that something is F, not which thing
Universal generalisation (UG)Fy ∴ (x)FxOnly from a variable standing for an arbitrarily selected individual; never from a constant, and never from a name introduced by EI (nor within a conditional-proof assumption containing it free)
Worked proof: all M are P; some S are M; therefore some S are P (Darii)
LineStatementJustification
1(x)(Mx ⊃ Px)Premise
2(∃x)(Sx · Mx)Premise
3Sa · Ma2 EI (a is new)
4Ma ⊃ Pa1 UI
5Ma · Sa3 Com
6Ma5 Simp
7Pa4, 6 MP
8Sa3 Simp
9Sa · Pa8, 7 Conj
10(∃x)(Sx · Px)9 EG
  • Order matters: EI is done at line 3, before UI at line 4. Had we instantiated the universal premise to a first (Ma ⊃ Pa), EI at the next step could not use a again, because a would no longer be new, and the proof would stall.
  • Why EI needs a new name: from (∃x)Fx and (∃x)Gx one may not infer (∃x)(Fx · Gx). "Something is even and something is odd" does not imply "something is both even and odd". The restriction blocks the bad step, since after Fa from the first premise, EI on the second must use a different constant, Gb, and Fa · Gb gives no common instance.
  • Why UG needs an arbitrary individual: from "Socrates is wise" (Ws) it does not follow that everyone is wise. UG is licensed only when the reasoning would have gone through for any individual whatever, which is guaranteed when the variable was introduced by UI from a universal premise and not by EI or as a specific constant.

3. Axiomatic systems: consistency, completeness and related properties

An axiomatic system consists of a formal language, a set of axioms (formulas accepted without proof) and rules of inference; a theorem is any formula derivable from the axioms by the rules. Euclid's geometry is the classical model, and Whitehead and Russell's Principia Mathematica (1910–13) gave an axiomatic system for logic, with five axioms for the propositional calculus (later shown to be reducible to four, as Paul Bernays proved one of them redundant) and the rule of modus ponens. Other systems, such as Hilbert's and Łukasiewicz's, use different axioms but prove the same theorems. What matters philosophically are the properties such a system may have, which are studied in metalogic.

Metalogical properties of a formal system
PropertyDefinitionStatus for classical logic
ConsistencyNo formula and its negation are both theorems; equivalently, not every formula is provablePropositional and first-order logic are consistent
SoundnessEvery theorem is valid (a tautology, or true in every interpretation)Both are sound
Completeness (semantic)Every valid formula is a theoremPropositional logic is complete (Post, 1921); first-order logic is complete (Gödel, 1929–30)
IndependenceNo axiom is derivable from the othersA matter of economy, not of correctness
DecidabilityThere is an effective procedure to tell, of any formula, whether it is a theoremPropositional logic is decidable (truth tables); first-order logic is undecidable (Church and Turing, 1936)
⚠️ Two different "completeness" results
Gödel's completeness theorem (1929–30) says first-order logic proves every valid formula. His incompleteness theorems (1931) say something different: any consistent formal system strong enough to express elementary arithmetic contains true sentences it cannot prove, and cannot prove its own consistency. The first is about logic, the second about arithmetic; they do not contradict each other.

4. Formal and informal fallacies

A formal fallacy is an argument whose form is invalid: affirming the consequent and denying the antecedent in propositional logic; four terms, undistributed middle, illicit major or minor, exclusive premises and the existential fallacy in syllogistic. An informal fallacy is an error that lies in the content or context of an argument rather than in its form alone, and is detected by attending to what is said. Copi's classification groups informal fallacies by their source.

Informal fallacies by type
GroupFallacies
Relevance: the premises are not relevant to the conclusionAppeal to force (ad baculum), to pity (ad misericordiam), to the people (ad populum), against the person (ad hominem, abusive or circumstantial), appeal to inappropriate authority (ad verecundiam), appeal to ignorance (ad ignorantiam), red herring, straw man, irrelevant conclusion (ignoratio elenchi)
Defective induction: the premises are too weakHasty generalisation (converse accident), false cause (post hoc ergo propter hoc), slippery slope, weak analogy
Presumption: an unwarranted assumption is built inAccident, complex question, begging the question (petitio principii), false dichotomy, suppressed evidence
Ambiguity: a shift in meaningEquivocation, amphiboly, accent, composition (what is true of parts is true of the whole), division (what is true of the whole is true of the parts)
🧠 Composition against hasty generalisation
Composition moves from the parts of one whole to that whole ("every part of this machine is light, so the machine is light"); hasty generalisation moves from a few members of a class to all members ("the two students I met were rude, so all students are rude"). Division is the reverse of composition, and accident the reverse of hasty generalisation.

5. Deductive and inductive logic

Deduction and induction compared
PointDeductiveInductive
ClaimThe conclusion follows with necessityThe conclusion is made probable
AppraisalValid or invalid (no degrees); sound if valid with true premisesStrong or weak (a matter of degree); cogent if strong with true premises
ContentNon-ampliative: the conclusion states nothing not already contained in the premisesAmpliative: the conclusion goes beyond the premises
Adding premisesCannot make a valid argument invalidCan strengthen or weaken the argument
ExamplesSyllogisms, MP and MT, mathematical proofGeneralisation from samples, analogy, causal inference by Mill's methods (agreement, difference, joint method, residues, concomitant variation)
⚠️ Not "general to particular" and "particular to general"
The old definition, deduction proceeds from general to particular and induction from particular to general, is inaccurate. "All humans are mortal; all Greeks are human; so all Greeks are mortal" is deductive with a general conclusion; "the sun has risen every day so far; so it will rise tomorrow" is inductive with a particular conclusion. The real difference lies in the kind of support claimed: necessity or probability. Hume's problem of induction is that no non-circular justification of the inductive step has been found.

Key takeaways

  • A: (x)(Sx ⊃ Px); E: (x)(Sx ⊃ ~Px); I: (∃x)(Sx · Px); O: (∃x)(Sx · ~Px). QN: ~(x)Fx ≡ (∃x)~Fx and ~(∃x)Fx ≡ (x)~Fx.
  • UI and EG are unrestricted; EI requires a constant new to the proof; UG only from an arbitrarily selected individual, never from a constant or an EI name. Do EI before UI on the same name.
  • Axiomatic system: axioms, rules, theorems (Principia Mathematica). Consistency (no p and ~p), soundness (theorems valid), completeness (valid formulas provable), independence, decidability; propositional logic is consistent, complete and decidable; first-order logic is complete (Gödel 1929–30) but undecidable (Church, Turing 1936).
  • Formal fallacies are invalid forms; informal fallacies are of relevance, defective induction, presumption and ambiguity; composition (parts to whole) differs from hasty generalisation (some members to all).
  • Deduction claims necessity (valid or invalid, non-ampliative); induction claims probability (strong or weak, ampliative); the "general to particular" definition is inaccurate.

Practice questions (10)

Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.

  1. In quantifier notation, "All S are P" is correctly symbolised as:

    1. (x)(Sx ⊃ Px)
    2. (∃x)(Sx · Px)
    3. (x)(Sx · Px)
    4. (∃x)(Sx ⊃ Px)
    Show answer

    Answer: A — (x)(Sx ⊃ Px)

    The universal A form uses the conditional: for everything, if it is S then it is P. (x)(Sx · Px) says everything is both S and P, (∃x)(Sx · Px) is the I form, and (∃x)(Sx ⊃ Px) is true whenever anything is not S.
  2. Which restriction applies to existential instantiation (EI)?

    1. The instantial constant must already occur in a premise
    2. EI may be applied only to the conclusion
    3. EI may be used only after UG
    4. The instantial constant must not have occurred earlier in the proof
    Show answer

    Answer: D — The instantial constant must not have occurred earlier in the proof

    From "something is F" we do not know which thing it is, so we must name it with a constant that says nothing else about it: one new to the proof. Using a constant already in play would smuggle in the assumption that the F-thing is that very individual.
  3. By quantifier negation, "~(x)Fx" is equivalent to:

    1. (∃x)Fx
    2. (∃x)~Fx
    3. ~(∃x)Fx
    4. (x)~Fx
    Show answer

    Answer: B — (∃x)~Fx

    "Not everything is F" means "at least one thing is not F". (x)~Fx and ~(∃x)Fx both mean "nothing is F", which is stronger.
  4. Consider:
    1. (∃x)Fx (premise);
    2. Fa (1, EI);
    3. (x)Fx (2, UG). The step from line 2 to line 3 is:

    1. Valid by UG, since a is arbitrary
    2. Invalid, because UG may not generalise on a name introduced by EI
    3. Valid, but only on the traditional interpretation
    4. Invalid, because EI requires the constant to have appeared earlier
    Show answer

    Answer: B — Invalid, because UG may not generalise on a name introduced by EI

    The name a was introduced by EI to stand for some particular F, not for an arbitrary individual, so UG cannot be applied to it; otherwise "something is F" would prove "everything is F". EI requires a new constant, not an old one, so the last option states the restriction backwards.
  5. "You cannot accept her argument for tax reform: she was once declared bankrupt." This commits the fallacy of:

    1. Composition
    2. Begging the question
    3. Appeal to force (ad baculum)
    4. Argument against the person (ad hominem, abusive)
    Show answer

    Answer: D — Argument against the person (ad hominem, abusive)

    The argument attacks the arguer's character or history instead of the argument, which is the abusive ad hominem. There is no threat (ad baculum), no circular premise (begging the question) and no inference from parts to whole (composition).
  6. Assertion (A): Propositional logic is decidable. Reason (R): First-order predicate logic is complete. Choose the correct option.

    1. Both A and R are true, and R is the correct explanation of A
    2. Both A and R are true, but R is not the correct explanation of A
    3. A is true, but R is false
    4. A is false, but R is true
    Show answer

    Answer: B — Both A and R are true, but R is not the correct explanation of A

    Both are true, but R does not explain A. Propositional logic is decidable because the truth-table method settles any formula in finitely many steps. The completeness of first-order logic (Gödel, 1929–30) is a separate result, and first-order logic, though complete, is undecidable.
  7. Assertion (A): Deductive arguments always proceed from general premises to particular conclusions. Reason (R): In a valid deductive argument it is impossible for the premises to be true and the conclusion false. Choose the correct option.

    1. Both A and R are true, and R is the correct explanation of A
    2. Both A and R are true, but R is not the correct explanation of A
    3. A is true, but R is false
    4. A is false, but R is true
    Show answer

    Answer: D — A is false, but R is true

    A is false: "all humans are mortal; all Greeks are human; so all Greeks are mortal" is deductive with a general conclusion, so the "general to particular" definition fails. R is true: it states what deductive validity is, which is the real mark of deduction.
  8. Which of the following are fallacies of relevance? Select all that apply.

    1. Equivocation
    2. Straw man
    3. Complex question
    4. Appeal to force (ad baculum)
    Show answer

    Answer: B — Straw man; D — Appeal to force (ad baculum)

    Ad baculum and straw man offer premises irrelevant to the conclusion (a threat; a distorted version of the opponent's view). Equivocation is a fallacy of ambiguity and complex question a fallacy of presumption.
  9. Which of the following properties does classical first-order predicate logic have? Select all that apply.

    1. Decidability
    2. Completeness
    3. Consistency
    4. Soundness
    Show answer

    Answer: B — Completeness; C — Consistency; D — Soundness

    First-order logic is sound, consistent and complete (Gödel's completeness theorem, 1929–30), but it is not decidable: Church and Turing showed in 1936 that no effective procedure decides validity for all first-order formulas.
  10. Test the argument "p ⊃ q, r ⊃ s, ~q ∨ ~s ∴ ~p ∨ ~r" by the shorter truth-table method. How many assignments make every premise true and the conclusion false? Type the number.

    Numerical answer — type the value.

    Show answer

    Answer: 0

    Zero. For the conclusion ~p ∨ ~r to be false, p = T and r = T. Then p ⊃ q true forces q = T, and r ⊃ s true forces s = T. But then ~q ∨ ~s is F ∨ F = F, so the third premise is false. No assignment is a counterexample, so the argument (destructive dilemma) is valid.