Learning Goals of CS245 Logic and Computation
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1 Learning Goals of CS245 Logic and Computation Alice Gao April 27, 2018 Contents 1 Propositional Logic 2 2 Predicate Logic 4 3 Program Verification 6 4 Undecidability 7 1
2 1 Propositional Logic Introduction to logic Give a one-sentence high-level definition of logic. Give examples of applications of logic in computer science. Propositions Define a proposition. Define an atomic proposition and a compound proposition. Translations Determine if an English sentence is a proposition. Determine if an English sentence is an atomic proposition. For an English sentence with no logical ambiguity, translate the sentence into a propositional formula. For an English sentence with logical ambiguity, translate the sentence into multiple propositional formulas and show that the propositional formulas are not logically equivalent using a truth table. Well-formed formulas Describe the three types of symbols in propositional logic. Give the inductive definition of well-formed formulas. Determine and justify whether a given formula is well formed. Write the parse tree for a well-formed formula. Structural induction Prove properties of well-formed propositional formulas using structural induction. Prove properties of a recursively defined concept using structural induction. Truth valuation, truth table, and valuation tree Define a truth valuation. Determine the truth value of a formula given a truth valuation. Give a truth valuation under which a formula is true or false. Draw a truth table given a formula. Draw the valuation tree given a formula. The meanings of connectives Define the meaning of the connectives: negation, conjunction, disjunction, conditional, and bi-conditional, using truth tables. Understand the subtleties of the implication: Explain the relationship between the truth values of the premise, the conclusion, and the implication. Properties of formulas 2
3 Define tautology, contradiction, and satisfiable formula. Determine if a given formula is a tautology, a contradiction, and/or a satisfiable formula. Logical equivalence Prove that two formulas are logically equivalent using truth tables. Prove that two formulas are logically equivalent using logical identities. Translate a condition in a block of code into a propositional formula. Simplify an if statement. Determine whether a piece of code is live or dead. Adequate set of connectives Describe what it means for one connective to be definable in terms of a set of connectives. Describe what it means for a set of connectives to be adequate for propositional logic. Prove that a set of connectives is adequate. Prove that a set of connectives is not adequate. Semantic entailment Determine if a set of formulas is satisfiable. Define semantic entailment. Explain subtleties of semantic entailment. Prove that a semantic entailment holds/does not hold by using the definition of semantic entailment, and/or truth tables. Natural deduction Describe rules of inference for natural deduction. Prove that a conclusion follows from a set of premises using natural deduction inference rules. Soundness and completeness of natural deduction Define soundness and completeness. Prove that a semantic entailment holds using natural deduction and the soundness of natural deduction. Show that no natural deduction proof exists using the contrapositive of the soundness of natural deduction. 3
4 2 Predicate Logic Introduction to Predicate Logic Give examples of English sentences that can be modeled using predicate logic but cannot be modeled using propositional logic. Translations Translate an English sentence into a predicate formula. Syntax of predicate logic Define term. Define formula. Define free and bound variables. Determine whether a variable in a formula is free or bound. Determine the scope of a quantifier in a formula. Describe the problem when a variable is captured in a substitution. Perform substitution in a formula to avoid capture. Semantics of predicate logic Define interpretation. Define environment. Determine the truth value of a formula given an interpretation and an environment. Give an interpretation and an environment that make a formula true. Given an interpretation and an environment that make a formula false. Determine and justify whether a formula is valid, satisfiable, and/or unsatisfiable. Semantic entailment for predicate logic Define semantic entailment for predicate logic. Prove that a semantic entailment holds. Prove that a semantic entailment does not hold. Natural deduction for predicate logic Describe the rules of inference for natural deduction. Prove that a conclusion follows from a set of premises using natural deduction inference rules. Soundness and completeness of natural deduction Define soundness and completeness. Prove that a semantic entailment holds using natural deduction and the soundness of natural deduction. 4
5 Show that no natural deduction proof exists using semantic entailment and the soundness natural deduction. Axioms of equality Describe the two axioms of equality. Prove the symmetry of equality. Prove the transitivity of equality. Describe the derived inference rules EQsubs and EQtrans. 5
6 3 Program Verification Introduction Give reasons for performing formal verification rather than testing. Define a Hoare triple. Define partial correctness. Define total correctness. Total correctness for assignment and conditional statements Prove that a Hoare triple is satisfied under total correctness for a program containing assignment and conditional statements. Partial correctness for while loops Determine whether a given formula is an invariant for a while loop. Find an invariant for a given while loop. Prove that a Hoare triple is satisfied under partial correctness for a program containing while loops. Total correctness for while loops Determine whether a given formula is a variant for a while loop. Find a variant for a given while loop. Prove that a Hoare triple is satisfied under total correctness for a program containing while loops. Partial correctness for array assignments Prove that a Hoare triple is satisfied under partial correctness for a program containing array assignment statements. 6
7 4 Undecidability Introduction to undecidability Define decision problem. Define decidable problem. Define undecidable problem. Prove that a decision problem is decidable by giving an algorithm to solve it. The halting problem Describe the halting problem. Prove that the halting problem is undecidable. Proving that a problem is undecidable by a reduction from the halting problem Define reduction. Describe at a high level how we can use reduction to prove that a decision problem is undecidable. Prove that a decision problem is undecidable by using a reduction from the halting problem. 7
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