Addition
If P is true, then P or Q is true (for any Q)
P ⊢ P∨QAddition (also called Disjunction Introduction) is the rule that allows you to expand a true statement by adding alternatives. If you know P is true, then 'P or Q' must also be true, regardless of what Q is. This might seem counterintuitive at first, but it's logically sound.
Why Addition Works:
Since disjunction (OR) is true when at least one disjunct is true, and we know P is true, then P∨Q is automatically true regardless of Q's truth value.
Strategic Use:
While this rule might seem to add unnecessary information, it's strategically important in proofs where you need to create disjunctions for later use with other inference rules.
P ⊢ P ∨ Q (from any P, we can derive P or Q)Basic Addition
Given:
Therefore:
Real World Example
Fact:
Therefore:
Complex Propositions
Given:
Addition:
Key Point: Addition allows us to introduce disjunctions - we can always add alternatives to true statements.
Example 1: Basic Addition(Simple expansion)
Known fact:
Addition result:
Explanation: Addition allows us to expand our conclusions by introducing new possibilities, which is useful for creating fallback options.
Example 2: System Reliability(Fault tolerance)
Primary system:
Expanded reliability:
Explanation: In system design, addition helps establish multiple paths to success, improving overall reliability.
Example 3: Proof Strategy(Logical reasoning)
Established premise:
Strategic addition:
Explanation: Addition is strategically used in proofs to set up for elimination rules or case analysis by introducing relevant alternatives.
Addition (Expanding)
P ⊢ P∨Q
"From a specific fact, create a broader alternative"
Used for introducing disjunctions and expanding possibilities.
Disjunctive Syllogism (Eliminating)
P∨Q, ¬P ⊢ Q
"From alternatives, eliminate one to find the other"
Used for narrowing down from disjunctions to specific conclusions.
Proof Strategy
- • Setting up for Disjunctive Syllogism
- • Creating proof by cases
- • Establishing disjunctive premises
- • Constructive dilemma setup
Practical Reasoning
- • Creating broader categories
- • Option enumeration
- • Fallback planning
- • Risk assessment
Academic Contexts
- • Classification tasks
- • Multiple choice construction
- • Hypothesis formation
- • Research methodology
Programming Logic
- • Boolean OR operations
- • Condition expansion
- • Error handling paths
- • State machine design