Test 1 Review Flashcards

(50 cards)

1
Q

Which Law of Logical Equivalency?
¬(p ∧ q) ≡ ¬p ∨ ¬q
¬(p ∨ q) ≡ ¬p ∧ ¬q

A

De Morgan’s Laws

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2
Q

State the Identity Laws

A

p ∧ T ≡ p
p ∨ F ≡ p

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3
Q

What is the order of operations when simplifying complex logical expressions?

Operators:
¬ “not
∨ “or”
➜ “implies”
“if and only if”
∧: “and”

A
  1. ¬ “not
  2. ∧: “and”
  3. ∨ “or”
  4. ➜ “implies”
  5. “if and only if”
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4
Q

Which Law of Logical Equivalency?
(p ∨ q) ∨ r ≡ p ∨ (q ∨ r)
(p ∧ q) ∧ r ≡ p ∧ (q ∧ r)

A

Associative Laws

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5
Q

State the Logical Equivalences for Each Biconditional Statement
p q
p q
p q
¬( p q ) ≡

A

p q ≡ ( pq ) ∧ (qp )
p q¬p ¬q
p q ≡ ( pq ) ∨ (¬p¬q)
¬( p q ) ≡ p ¬q

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6
Q

State the Idempotent Laws

A

p ∨ p ≡ p
p ∧ p ≡ p

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7
Q

List 8 common ways to express conditionals in English, pq, where p is the hypothesis and q is the conclusion.

A
  1. if p, then q
  2. q if p
  3. q follow from p
  4. p implies q
  5. q is necessary for p
  6. p is sufficient for q
  7. p only if q
  8. q unless ¬p
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8
Q

State the Double Negation Law

A

¬(¬p) ≡ p

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9
Q

State the Converse of “If I study, then I get an A on my exam.”

A

Converse: if q, then p
qp

If I get an A on my exam, I studied.

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10
Q

Which Law of Logical Equivalency?
p ∨ ¬p ≡ T
p ∧ ¬p ≡ F

A

Negation Laws

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11
Q

Which Law of Logical Equivalency?
p ∧ T ≡ p
p ∨ F ≡ p

A

Identity Laws

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12
Q

State the Converse, Inverse, Contrapostive, and Biconditional of if p, then q.
pq

A

Converse: if q, then p
qp

Inverse: if not p, then not q
¬p¬q

Contrapositive: if not q, then not p
¬q¬p

Biconditional: p if and only if q
p q

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13
Q

State the Associative Laws

A

(p ∨ q) ∨ r ≡ p ∨ (q ∨ r)
(p ∧ q) ∧ r ≡ p ∧ (q ∧ r)

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14
Q

State the Commutative Laws

A

p ∨ q ≡ q ∨ p
p ∧ q ≡ q ∧ p

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15
Q

State the De Morgan’s Laws

A

¬(p ∧ q) ≡ ¬p ∨ ¬q
¬(p ∨ q) ≡ ¬p ∧ ¬q

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16
Q

State the Absorption Laws

A

p ∨ (p ∧ q) ≡ p
p ∧ (p ∨ q) ≡ p

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17
Q

Which Law of Logical Equivalency?
p ∨ q ≡ q ∨ p
p ∧ q ≡ q ∧ p

A

Commutative Laws

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18
Q

State the Logical Equivalences for Each Conditional Statement
pq
pq
pq
pq
¬( pq ) ≡
( pq ) ∧ (pr ) ≡
( pr ) ∧ (qr ) ≡
( pq ) ∨ (pr ) ≡
( pr ) ∨ (qr ) ≡

A

pq ≡ ¬pq
pq ≡ ¬q ➜ ¬p
pq ≡ ¬pq
pq ≡ ¬(p ➜ ¬q)
¬( pq ) ≡ p ∧ ¬q
( pq ) ∧ (pr ) ≡ p ➜ ( qr )
( pr ) ∧ (qr ) ≡ ( pq ) ➜ r
( pq ) ∨ (pr ) ≡ p ➜ ( qr )
( pr ) ∨ (qr ) ≡ ( pq ) ➜ r

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19
Q

State the Negation Laws

A

¬p ∨ ¬p ≡ T
p ∧ ¬p ≡ F

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20
Q

State the Domination Laws

A

p ∨ T ≡ T
p ∧ F ≡ F

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21
Q

Which Law of Logical Equivalency?
p ∨ T ≡ T
p ∧ F ≡ F

A

Domination Laws

22
Q

Which Law of Logical Equivalency?
p ∨ p ≡ p
p ∧ p ≡ p

A

Idempotent Laws

23
Q

Which Law of Logical Equivalency?
p ∨ (p ∧ q) ≡ p
p ∧ (p ∨ q) ≡ p

A

Absorption Laws

24
Q

Which Law of Logical Equivalency?
p ∨ (q ∧ r) ≡ (p ∨ q) ∧ (p ∨ r)
p ∧ (q ∨ r) ≡ (p ∧ q) ∨ (p ∧ r)

A

Distributive Laws

25
State the Distributive Laws
p ∨ (q ∧ r) ≡ (p ∨ q) ∧ (p ∨ r) p ∧ (q ∨ r) ≡ (p ∧ q) ∨ (p ∧ r)
26
Which Law of Logical Equivalency? ¬(¬p) ≡ p
Double Negation
27
What is a Tautology?
A logical expression which is always true regardless of the truth values of the variables because it contains all possible outcomes. p ∨ ¬p
28
What is a Contradiction?
A logical expression which is always false regardless of the truth value of the variables. It is self-contradicting. p ∧ ¬p
29
What is a Contingency?
A logical expression which is neither a Tautology or Contradiction. p
30
Modus Tollens
p ➜ q ¬q ---------- ∴ ¬p ( ¬q ∧ ( p ➜ q )) ➜ ¬p
31
Hypothetical Syllogism
p ➜ q q ➜ r ---------- ∴ p ➜ r (( p ➜ q ) ∧ ( q ➜ r )) ➜ ( p ➜ r )
32
Disjunctive Syllogism
p v q ¬p ---------- ∴ q (( p v q ) ∧ ¬p ) ➜ q
33
Resolution
p v q ¬p v r ---------- ∴ q v r (( p v q ) ∧ ( ¬p v r )) ➜ q v r
34
Addition
p ---------- ∴ p v q p ➜ ( p v q )
35
Simplification
p ∧ q ---------- ∴ p ( p ∧ q ) ➜ p
36
Conjunction
p q ---------- ∴ p ∧ q ( p ∧ q ) ➜ ( p ∧ q )
37
Modus Ponens
p ➜ q p ---------- ∴ q ( p ∧ ( p ➜ q)) ➜ q
38
When True? When False? ∀x∀y P(x, y) ∀y∀x P(x, y)
True: P(x, y) is true for every pair x, y. False: There is a pair x , y for which P(x,y) is false.
39
When True? When False? ∀x∃y P(x, y)
True: For every x there is a y for which P(x,y) is true. False: There is an x such that P(x,y) is false for every y.
40
When True? When False? ∃x∀y P(x, y)
True: There is an x for which P(x,y) is true for every y. False: For every x there is a y for which P(x,y) is false.
41
When True? When False? ∃x∃y P(x, y) ∃y∃x P(x, y)
True: There is a pair x,y for which P(x,y) is true. False: P(x,y) is false for every pair x,y.
42
Universal Specification / Instantiation (US or UI)
∀xP(x) ---------- ∴ P(c) ♡ for any c in the domain Explanation: The universal quantifier ∀xP(x) states that P(x) is true for all x in the domain. Therefore, you can select any c (a particular element in the domain) and conclude that P(c) is true because the statement applies universally.
43
Universal Generalization (UG)
P(c) ---------- ∴ ∀xP(x) ♡ for an arbitrary c, not a particular one Explanation: Here, P(c) holds for a specific c, but the conclusion ∀xP(x) requires P(x) to hold for every x in the domain. This inference is only valid if c is chosen arbitrarily and represents any element in the domain (not a specific, particular one). If c were a specific element, this conclusion would be invalid.
44
Existential Specification / Instantiation (ES or EI)
∃xP(x) ---------- ∴ P(c) ♡ for some specific c (unknown) Explanation: The existential quantifier ∃xP(x) states that there exists at least one x such that P(x) is true. Form this, you can infer that there is some specific c (though it may not be explicitly identified) such that P(c) holds true. This c satisfies P(x), but we don't know exactly which one it is.
45
Existential Generalization (EG)
P(c) ---------- ∴ ∃xP(x) ♡ finding one c such that P(c) Explanation: If P(c) holds for a specific element c, you can conclude that ∃xP(x), since you've identified at least one instance c in the domain where P(x) is true. This c serves as a witness to the truth of the existential quantifier ∃xP(x).
46
True or False? Inverse and converse are logically equivalent.
True
47
True or False? It is possible to define disjunction using only negations and conjunction.
True ¬( ¬p ∧ ¬q )
48
True of False? Domain-restricted universal quantification is logically equivalent to the unrestricted universal quantification of a conditional.
True
49
True of False? Domain-restricted existential quantification is logically equivalent to the unrestricted existential quantification of a conditional.
False It is equal to the existential quantification of a conjunction.
50
The negation of a conjunction is the disjunction of the negations.
True ( p ∧ q) ≡ ¬( p ∧ q ) ≡ ( ¬p ∨ ¬q )