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Part IA Michaelmas, Lent Term

Conjunction and Disjunction

Conjunction (And)

The conjunction P∧QP \land Q means ”PP and QQ”.

Truth Table

PPQQP∧QP \land Q
TTT
TFF
FTF
FFF

P∧QP \land Q is true only when both PP and QQ are true.

Proof Strategy

To prove P∧QP \land Q:

  1. Prove PP
  2. Prove QQ

Both must be proved separately.

Disjunction (Or)

The disjunction P∨QP \lor Q means ”PP or QQ”.

In mathematics, “or” is inclusive: P∨QP \lor Q is true if at least one of PP, QQ is true.

Truth Table

PPQQP∨QP \lor Q
TTT
TFT
FTT
FFF

Proof Strategies for Disjunction

Method 1: Prove One Disjunct

Prove PP (then P∨QP \lor Q follows) or prove QQ.

Method 2: Proof by Cases (Disjunction Elimination)

To prove RR from P∨QP \lor Q:

  1. Case 1: Assume PP, prove RR
  2. Case 2: Assume QQ, prove RR
  3. Since P∨QP \lor Q and RR follows in either case, conclude RR

Method 3: Proof by Contradiction

To prove P∨QP \lor Q:

  1. Assume ¬(P∨Q)\neg(P \lor Q)
  2. By De Morgan, this means ¬P∧¬Q\neg P \land \neg Q
  3. Derive a contradiction

Example: Proof by Cases

Statement: For all integers nn, n2≥nn^2 \geq n.

This is false. But let us prove: For all integers nn, n2≥0n^2 \geq 0.

Proof by cases on n≥0n \geq 0 or n<0n < 0:

Case 1: n≥0n \geq 0.

Then n2≥0⋅n=0n^2 \geq 0 \cdot n = 0.

Case 2: n<0n < 0.

Then n=−kn = -k for some k>0k > 0. So n2=(−k)2=k2>0n^2 = (-k)^2 = k^2 > 0.

In either case, n2≥0n^2 \geq 0.

De Morgan’s Laws

For Statements

¬(P∧Q)≡¬P∨¬Q\neg(P \land Q) \equiv \neg P \lor \neg Q ¬(P∨Q)≡¬P∧¬Q\neg(P \lor Q) \equiv \neg P \land \neg Q

For Sets

S∖(A∩B)=(S∖A)∪(S∖B)S \setminus (A \cap B) = (S \setminus A) \cup (S \setminus B) S∖(A∪B)=(S∖A)∩(S∖B)S \setminus (A \cup B) = (S \setminus A) \cap (S \setminus B)

Verification by Truth Table

PPQQ¬(P∧Q)\neg(P \land Q)¬P∨¬Q\neg P \lor \neg Q
TTFF
TFTT
FTTT
FFTT

Distributivity

Conjunction over Disjunction

P∧(Q∨R)≡(P∧Q)∨(P∧R)P \land (Q \lor R) \equiv (P \land Q) \lor (P \land R)

Disjunction over Conjunction

P∨(Q∧R)≡(P∨Q)∧(P∨R)P \lor (Q \land R) \equiv (P \lor Q) \land (P \lor R)

Associativity and Commutativity

Both ∧\land and ∨\lor are:

  • Associative: P∧(Q∧R)≡(P∧Q)∧RP \land (Q \land R) \equiv (P \land Q) \land R
  • Commutative: P∧Q≡Q∧PP \land Q \equiv Q \land P

This allows us to write P1∧P2∧⋯∧PnP_1 \land P_2 \land \cdots \land P_n and P1∨P2∨⋯∨PnP_1 \lor P_2 \lor \cdots \lor P_n without parentheses.

Absorption Laws

P∧(P∨Q)≡PP \land (P \lor Q) \equiv P P∨(P∧Q)≡PP \lor (P \land Q) \equiv P

Idempotent Laws

P∧P≡PP \land P \equiv P P∨P≡PP \lor P \equiv P

Identity Laws

P∧True≡PP \land \text{True} \equiv P P∨False≡PP \lor \text{False} \equiv P

Domination Laws

P∧False≡FalseP \land \text{False} \equiv \text{False} P∨True≡TrueP \lor \text{True} \equiv \text{True}

Using Logical Equivalences

These equivalences allow us to transform statements into simpler or more convenient forms.

Example

Simplify ¬(P∧Q)∧P\neg(P \land Q) \land P.

¬(P∧Q)∧P≡(¬P∨¬Q)∧P\neg(P \land Q) \land P \equiv (\neg P \lor \neg Q) \land P (De Morgan) ≡(¬P∧P)∨(¬Q∧P)\equiv (\neg P \land P) \lor (\neg Q \land P) (Distributivity) ≡False∨(¬Q∧P)\equiv \text{False} \lor (\neg Q \land P) (Contradiction) ≡¬Q∧P\equiv \neg Q \land P (Identity)

Common Pitfalls

Confusing And/Or

Trap: “P or Q” in mathematics includes the case where both are true.

This is different from everyday English where “or” often means “exactly one”.

Forgetting a Case

Trap: When using proof by cases, check you have covered all possibilities.

If your cases are n>0n > 0 and n<0n < 0, you forgot n=0n = 0.

Overlapping Cases

Trap: Cases need not be disjoint, but each case must be proved.

Cases may overlap; what matters is each case individually leads to the conclusion.


Summary

  • P∧QP \land Q requires proving both PP and QQ
  • P∨QP \lor Q can be proved by proving one, or by cases
  • De Morgan’s laws: ¬(P∧Q)≡¬P∨¬Q\neg(P \land Q) \equiv \neg P \lor \neg Q and ¬(P∨Q)≡¬P∧¬Q\neg(P \lor Q) \equiv \neg P \land \neg Q
  • Both connectives are associative, commutative, and distributive over each other