Create code in Python that produce truth tables for zyBooks end of section 1.3 Exercise 1.3.4: Truth tables for logical expressions (c,d) (See exercises below).  Include good, contextualized (i.e. in plain English) comments to explain each row of the truth tables. Give a truth table for each expression. (a) (¬p ∧ q) → p (b) (p → q) → (q → p) (c) (p ∨ q) ↔ (q → ¬p) (d) (p ↔ q) ⊕ (p ↔ ¬q) (e) (p ∨ q) ↔ (q ∧ p)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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Create code in Python that produce truth tables for zyBooks end of section 1.3 Exercise 1.3.4: Truth tables for logical expressions (c,d) (See exercises below).  Include good, contextualized (i.e. in plain English) comments to explain each row of the truth tables.

Give a truth table for each expression.

(a) (¬p ∧ q) → p
(b) (p → q) → (q → p)
(c) (p ∨ q) ↔ (q → ¬p)
(d) (p ↔ q) ⊕ (p ↔ ¬q)
(e) (p ∨ q) ↔ (q ∧ p)
Expert Solution
Step 1: Introduction

The task at hand is to create Python code that produces truth tables for several logical expressions. A truth table enumerates all possible combinations of truth values that a logical expression can take based on its variables. We specifically focus on five logical expressions involving the variables  and , along with logical connectives such as negation (¬), conjunction (and/∧), disjunction (or/∨), implication (→), equivalence (↔), and exclusive or (⊕). 

Algorithm


  1. Define a function to print the header of the truth table, indicating the logical expression being evaluated.
  2. Define a function to evaluate a logical expression based on the current truth values of its variables and .
  3. Define a function to generate and print the entire truth table by looping through all possible combinations of truth values for and .
  4. Store each logical expression as a Python evaluable string alongside its textual description.
  5. Loop through the expressions and call the function to generate the truth tables.

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