Logic Worksheets

These worksheets are educational resources used in classrooms or for homeschooling purposes to enhance students’ logical reasoning and critical thinking skills within the realm of mathematics. These worksheets contain a series of problems or puzzles that require students to apply mathematical concepts such as algebra, geometry, and arithmetic in combination with logical deductions and problem-solving strategies to arrive at the correct solution. They cover a wide range of topics including patterns, sequences, number relations, and spatial reasoning, providing students with opportunities to practice different problem-solving techniques and develop their ability to analyze and interpret mathematical information. Additionally, math logic worksheets can be tailored to various grade levels and skill levels, making them versatile tools for educators to support students’ mathematical development.

Complete Truth Tables Worksheet

Complete Truth Tables | Answer Key

Determine Truth Values Worksheet

Determine Truth Values | Answer Key

Draw Truth Tables | Answer Key

Logic Review Worksheet 3

Symbolic Logic Review Worksheet 1 | Answer Key

Symbolic Logic Review Worksheet 2 | Answer Key

Symbolic Logic Review Worksheet 3 | Answer Key

Mathematical logic, also known as symbolic logic or formal logic, is a branch of mathematics that deals with the study of logical systems and their applications to mathematics. It aims to understand and formalize the principles of valid reasoning and deduction. At its core, mathematical logic investigates the structure and validity of mathematical arguments using symbols and rules of inference.

One fundamental concept in mathematical logic is that of a formal language. A formal language consists of symbols (such as letters, numbers, and logical symbols like ∧ for “and” and → for “implies”) and rules for combining these symbols to form well-formed formulas (statements or sentences). These well-formed formulas can represent mathematical statements, logical propositions, or rules of inference.

Within mathematical logic, there are several key areas of study:

Propositional Logic: Propositional logic deals with the study of propositions, or statements, and their logical relationships. Propositions can be either true or false. In propositional logic, logical connectives such as “and” (∧), “or” (∨), “not” (¬), and “implies” (→) are used to combine propositions and form compound statements. Propositional logic provides the foundation for more complex logical systems.

Predicate Logic: Predicate logic extends propositional logic by introducing predicates, which are functions that take objects as input and return propositions. Predicates allow for the representation of properties of objects and relationships between them. Predicate logic includes quantifiers such as “for all” (∀) and “there exists” (∃) to express statements about all or some objects in a domain.

Mathematical Proof: Mathematical logic provides the framework for constructing rigorous mathematical proofs. A proof is a logical argument that demonstrates the truth of a mathematical statement using established axioms, definitions, and inference rules. Proofs can be formalized using symbolic notation and logical reasoning, ensuring that mathematical results are valid and verifiable.

Set Theory: Set theory is a branch of mathematical logic that deals with the study of sets, which are collections of objects. Set theory provides the foundation for much of modern mathematics, including concepts such as functions, relations, and cardinality. Set theory also encompasses the study of infinite sets and the axioms of set theory, such as the Zermelo-Fraenkel axioms.

Model Theory: Model theory is concerned with the study of mathematical structures and their interpretations within formal languages. It investigates properties of models (interpretations of formal languages) and the relationships between them. Model theory plays a crucial role in understanding the semantics of formal languages and their applications in various areas of mathematics and computer science.

Example 1: Propositional Logic Problem

Problem: Determine the truth value of the compound proposition: ¬(p ∧ q) ∨ (p → q), given that p is true and q is false.


Given Information: We’re given the values of p (true) and q (false).

Evaluate p ∧ q: First, we evaluate the truth value of the conjunction (logical AND) of p and q. Since p is true and q is false, p ∧ q is false.

Apply ¬(p ∧ q): Next, we apply the negation (logical NOT) to the result of p ∧ q. So, ¬(p ∧ q) is true.

Evaluate p → q: Now, we evaluate the conditional (logical implication) of p → q. A conditional statement is false only when the antecedent (p) is true and the consequent (q) is false. Since p is true and q is false, p → q is false.

Combine the results: Finally, we apply the logical OR operation to the results of ¬(p ∧ q) and (p → q). Since ¬(p ∧ q) is true and (p → q) is false, the compound proposition ¬(p ∧ q) ∨ (p → q) is true.

Conclusion: The truth value of the compound proposition is true.

Example 2: Predicate Logic Problem

Problem: Express the following statement using predicate logic: “All cats are mammals.”


Define Predicates: Let C(x) represent “x is a cat” and M(x) represent “x is a mammal.”

Translate the Statement: The statement “All cats are mammals” can be expressed in predicate logic as ∀x(C(x) → M(x)), which reads “For all x, if x is a cat, then x is a mammal.”

Conclusion: The statement “All cats are mammals” is expressed in predicate logic as ∀x(C(x) → M(x)).

In both examples, we first analyze the given information and then apply the rules of propositional logic or predicate logic to determine the truth value of the compound proposition or to express the statement using predicate logic.

Mathematical logic, often viewed as an abstract field confined to formal mathematics, holds significant relevance in our daily lives, permeating various aspects of problem-solving, decision-making, communication, and ethical reasoning. At its core, mathematical logic equips individuals with analytical tools essential for navigating the complexities of everyday challenges. Whether it’s devising strategies to navigate through traffic congestion, organizing tasks efficiently to meet deadlines, or troubleshooting issues with electronic devices, logical reasoning serves as a cornerstone for effective problem-solving strategies. By breaking down problems into smaller, manageable components and applying logical principles, individuals can devise practical solutions that address specific needs and objectives.

Moreover, mathematical logic underpins the process of decision-making, guiding individuals in evaluating different options, predicting outcomes, and making informed choices. From selecting investment strategies to determining career paths, logical reasoning enables individuals to weigh the pros and cons of various alternatives and align their decisions with their long-term goals and aspirations. Furthermore, critical thinking skills rooted in mathematical logic empower individuals to assess information critically, discern logical fallacies, and differentiate between valid arguments and flawed reasoning. In an era inundated with vast amounts of information and diverse perspectives, the ability to think critically and discern truth from misinformation is crucial for making informed judgments and navigating complex societal issues.

Effective communication relies on logical coherence and consistency, enabling individuals to convey ideas accurately and persuasively. Mathematical logic provides a framework for structuring thoughts logically, formulating precise arguments, and articulating viewpoints cogently in written or verbal communication. Whether it’s crafting persuasive essays, presenting arguments in debates, or collaborating with others in group discussions, logical thinking enhances individuals’ ability to communicate effectively and influence others through reasoned discourse. Furthermore, in fields such as computer programming, legal reasoning, and financial management, mathematical logic serves as a foundational tool for problem-solving and decision-making.

In computer programming, programmers leverage logical reasoning to design algorithms, implement control structures, and debug code effectively. Legal and ethical reasoning draw upon logical analysis to interpret laws, adjudicate cases, and evaluate ethical dilemmas. Similarly, financial management relies on logical principles to allocate resources efficiently, forecast financial outcomes, and mitigate risks effectively. Thus, by honing logical reasoning skills and applying mathematical principles to practical situations, individuals can navigate the complexities of modern life with confidence and achieve personal success while contributing to societal advancement.