Properties of Boolean Algebra
Last Updated :
25 Oct, 2024
The Boolean Algebra uses sets of rules for analyzing digital gates and circuits. In this article, we will be going through the Properties or Laws of the Boolean algebra. So first we will start our article by defining what are the properties of Boolean Algebra, and then we will go through what are Boolean Addition and Multiplication. Then we will go through the different properties of Boolean Algebra such as Annulment, Identity law, Idempotent law, etc.
What are the Properties of Boolean Algebra?
The Boolean Algebra uses sets of rules for analyzing digital gates and circuits which are known as Laws or properties of Boolean Algebra. These laws or properties help to simplify complex Boolean expressions by reducing the number of logic gates required for a given operation.
Variables in the Boolean Algebra are binary which takes only values of either 0 or 1. While expression can be written in an infinite number of variables, each variable can only assume one of these two values. For example, variables labelled as A, B, C, etc., can be utilized to formulate logical expressions such as A + B = C.
Boolean Addition
It is the fundamental operation in Boolean algebra, it is similar to the OR Operation. In digital circuits, it is used to compute the sum term without necessitating the AND operation. The sum term evaluates to true if one or more literals are true, and false if all literals are false. Some of the examples of it are A+B, A'+B, A'+C'.
Boolean Multiplication
It is also one of the fundamental operations in Boolean algebra and it is similar to the AND operation. In a digital circuit, it is used to determine the product term, without using the OR operations. The product term evaluates to true only if all literals are true; otherwise, false. Some of the examples of the AND operation are A.C, A.D.E.
Properties of Boolean Algebra
Switching algebra is also known as Boolean Algebra. It is used to analyze digital gates and circuits It is logical to perform a mathematical operation on binary numbers i.e., on '0' and '1'. Boolean Algebra contains basic operators like AND, OR, and NOT, etc. Operations are represented by '.' for AND, and '+' for OR. Operations can be performed on variables that are represented using capital letters e.g., 'A', 'B' etc.
Properties of Switching Algebra
The Primary objective of the logic design is to solve the expression to its simplest form. This simplification process is important to ensure that the final implementation of a logic circuit is as Simple as possible. By reducing complexity, we can increase efficiency and ease of implementation and making the overall design process more simple.
Annulment law
a variable ANDed with 0 gives 0, while a variable ORed with 1 gives 1, i.e.,
A.0 = 0
A + 1 = 1
Identity law
In this law variable remains unchanged it is ORed with '0' or ANDed with '1', i.e.,
A.1 = A
A + 0 = A
Idempotent law
A variable remains unchanged when it is ORed or ANDed with itself, i.e.,
A + A = A
A.A = A
Complement law
In this Law if a complement is added to a variable it gives one, if a variable is multiplied with its complement it results in '0', i.e.,
A + A' = 1
A.A' = 0
Double Negation Law
A variable with two negations, its symbol gets cancelled out and original variable is obtained, i.e.,
((A)')'=A
Commutative law
A variable order does not matter in this law, i.e.,
A + B = B + A
A.B = B.A
Associative law
The order of operation does not matter if the priority of variables are the same like '*' and '/', i.e.,
A+(B+C) = (A+B)+C
A.(B.C) = (A.B).C
Distributive law
This law governs the opening up of brackets, i.e.,
A.(B+C) = (A.B)+(A.C)
(A+B)(A+C) = A + BC
Absorption law
The absorption law consists of two dual statements:
X.(X+Y)=X
X+XY=X
De Morgan law
In De Morgan law, the operation of an AND or OR logic circuit is unchanged if all inputs are inverted, the operator is changed from AND to OR, and the output is inverted, i.e.,
(A.B)' = A' + B'
(A+B)' = A'.B'
Consensus theorem
AB + A'C + BC = AB + A'C
References
- GATE CS 2013, Question 65
- GATE CS 2009, Question 6
- GATE CS 2007, Question 85
Solved Examples
Question 1: Simplify A . B + A . B'.
Solution:
A . B + A . B' = A . (B + B')
= A . (1)
= A
Question 2: Simplify A + A' . B.
Solution:
A + A' . B = (A + A') . (A + B)
= (1) . (A + B)
= A + B
Question 3: Simplify (A + B) . (A + B') + (B . B').
Solution:
(A + B) . (A + B') + (B . B') = (A + B) . (A + B') + (0)
= A + (B . B')
= A + (0)
= A
Question 4: Simplify A . (B + C) + A' . (B + C)
Solution:
A . (B + C) + A' . (B + C) = (A + A') . (B + C)
= 1 . (B + C)
= B + C
Question 5: Simplify A + B . A' + C . C'
Solution:
A + B . A' + C . C' = A + B . A' + 0
= A + B
Properties of Boolean Algebra - Unsolved Problems
- 1. Simplify A + A . B.
- 2. Simplify (A . B) + (A . B') + (B . B').
- 3. Simplify A + B + A' . B.
- 4. Simplify (A . B) + (A . B') + (A' . B).
- 5. Simplify A + B + A . B.
- 6. Simplify (A + B) . (A' + B').
- 7. Simplify A . (B + C) + A' . (B + C).
- 8. Simplify A + B . A' + C . C'.
- 9. Simplify A . B' + A' . B + B . C.
- 10. Simplify A . (B + B').
Related Articles:
Conclusion
In this article, we have gone through different through what are Properties of Boolean Algebra, then we have gone through Boolean Addition and multiplication in brief and after that we have gone through different laws or properties in detail.
Similar Reads
Discrete Mathematics Tutorial Discrete Mathematics is a branch of mathematics that is concerned with "discrete" mathematical structures instead of "continuous". Discrete mathematical structures include objects with distinct values like graphs, integers, logic-based statements, etc. In this tutorial, we have covered all the topic
3 min read
Mathematical Logic
Propositional LogicLogic is the basis of all mathematical reasoning and all automated reasoning. The rules of logic specify the meaning of mathematical statements. These rules help us understand and reason with statements such as -\exists~x~such~that~x~\neq~a^2~+~b^2,~where~\:x,~a,~b\in~ZWhich in Simple English means
10 min read
Discrete Mathematics - Applications of Propositional LogicA proposition is an assertion, statement, or declarative sentence that can either be true or false but not both. For example, the sentence "Ram went to school." can either be true or false, but the case of both happening is not possible. So we can say, the sentence "Ram went to school." is a proposi
11 min read
Propositional EquivalencesPropositional equivalences are fundamental concepts in logic that allow us to simplify and manipulate logical statements. Understanding these equivalences is crucial in computer science, engineering, and mathematics, as they are used to design circuits, optimize algorithms, and prove theorems. This
7 min read
Predicates and QuantifiersPredicates and Quantifiers are fundamental concepts in mathematical logic, essential for expressing statements and reasoning about the properties of objects within a domain. These concepts are widely used in computer science, engineering, and mathematics to formulate precise and logical statements.
6 min read
Mathematics | Some Theorems on Nested QuantifiersQuantifiers are expressions that indicate the scope of the term to which they are attached, they are predicates. A predicate is a property the subject of the statement can have. For example, in the statement "the sum of x and y is greater than 5", the predicate 'Q' is- sum is greater than 5, and the
6 min read
Rules of InferenceRules of Inference: Rules of inference are logical tools used to derive conclusions from premises. They form the foundation of logical reasoning, allowing us to build arguments, prove theorems, and solve problems in mathematics, computer science, and philosophy. Understanding these rules is crucial
9 min read
Mathematics | Introduction to ProofsMathematical proof is an argument we give logically to validate a mathematical statement. To validate a statement, we consider two things: A statement and Logical operators. A statement is either true or false but not both. Logical operators are AND, OR, NOT, If then, and If and only if. Coupled wit
7 min read
Sets and Relations
Set TheorySet theory is a branch of mathematics that deals with collections of objects, called sets. A set is simply a collection of distinct elements, such as numbers, letters, or even everyday objects, that share a common property or rule.Example of SetsSome examples of sets include:A set of fruits: {apple,
3 min read
Types Of SetsIn mathematics, a set is defined as a well-defined collection of distinct elements that share a common property. These elementsâ like numbers, letters, or even other sets are listed in curly brackets "{ }" and represented by capital letters. For example, a set can include days of the week. The diffe
13 min read
Irreflexive Relation on a SetA relation is a subset of the cartesian product of a set with another set. A relation contains ordered pairs of elements of the set it is defined on. To learn more about relations refer to the article on "Relation and their types". What is Irreflexive Relation? A relation R on a set A is called irre
6 min read
Check Reflexive Relation on SetA relation is a subset of the cartesian product of a set with another set. A relation contains ordered pairs of elements of the set it is defined on. To learn more about relations refer to the article on "Relation and their types".What is a Reflexive Relation?A relation R on a set A is called reflex
7 min read
Check Transitive Relation on a SetA relation is a subset of the cartesian product of a set with another set. A relation contains ordered pairs of elements of the set it is defined on. To learn more about relations refer to the article on "Relation and their types".What is a Transitive Relation?A relation R on a set A is called trans
9 min read
Set OperationsA set is simply a collection of distinct objects. These objects can be numbers, letters, or even peopleâanything! We denote a set using curly brackets.For example: A = {1, 2, 3}Set Operations can be defined as the operations performed on two or more sets to obtain a single set containing a combinati
10 min read
Types of FunctionsFunctions are defined as the relations which give a particular output for a particular input value. A function has a domain and codomain (range). f(x) usually denotes a function where x is the input of the function. In general, a function is written as y = f(x).A function is a relation between two s
15 min read
Mathematics | Sequence, Series and SummationsSequences, series, and summations are fundamental concepts of mathematical analysis and it has practical applications in science, engineering, and finance.Table of ContentWhat is Sequence?Theorems on SequencesProperties of SequencesWhat is Series?Properties of SeriesTheorems on SeriesSummation Defin
8 min read
Representation of Relation in Graphs and MatricesUnderstanding how to represent relations in graphs and matrices is fundamental in engineering mathematics. These representations are not only crucial for theoretical understanding but also have significant practical applications in various fields of engineering, computer science, and data analysis.
8 min read
Relations in MathematicsRelation in Mathematics is defined as the relationship between two sets. If we are given two sets set A and set B and set A has a relation with set B then each value of set A is related to a value of set B through some unique relation. Here, set A is called the domain of the relation, and set B is c
9 min read
Closure of RelationsClosure of Relations: In mathematics, especially in the context of set theory and algebra, the closure of relations is a crucial concept. It involves extending a given relation to include additional elements based on specific properties, such as reflexivity, symmetry, and transitivity. Understanding
6 min read
Mathematical Induction
Boolean Algebra
Ordered Sets & Lattices
Probability Theory
Graph Theory
Graph and its representationsA Graph is a non-linear data structure consisting of vertices and edges. The vertices are sometimes also referred to as nodes and the edges are lines or arcs that connect any two nodes in the graph. More formally a Graph is composed of a set of vertices( V ) and a set of edges( E ). The graph is den
12 min read
Mathematics | Graph Theory Basics - Set 1A Graph is just a way to show connections between things. It is set of edges and vertices where each edge is associated with unordered pair of vertices. Graph is a data structure that is defined by two components :Node or Vertex: It is a point or joint between two lines like people, cities, or websi
5 min read
Types of Graphs with ExamplesA graph is a mathematical structure that represents relationships between objects by connecting a set of points. It is used to establish a pairwise relationship between elements in a given set. graphs are widely used in discrete mathematics, computer science, and network theory to represent relation
9 min read
Walks, Trails, Paths, Cycles and Circuits in GraphWalks, trails, paths, cycles, and circuits in a graph are sequences of vertices and edges with different properties. Some allow repetition of vertices and edges, while others do not. In this article, we will explore these concepts with examples.What is Walk?A walk in a graph is a sequence of vertice
6 min read
Dijkstra's Algorithm to find Shortest Paths from a Source to allGiven a weighted undirected graph represented as an edge list and a source vertex src, find the shortest path distances from the source vertex to all other vertices in the graph. The graph contains V vertices, numbered from 0 to V - 1.Note: The given graph does not contain any negative edge. Example
12 min read
Primâs Algorithm for Minimum Spanning Tree (MST)Primâs algorithm is a Greedy algorithm like Kruskal's algorithm. This algorithm always starts with a single node and moves through several adjacent nodes, in order to explore all of the connected edges along the way.The algorithm starts with an empty spanning tree. The idea is to maintain two sets o
15+ min read
Kruskalâs Minimum Spanning Tree (MST) AlgorithmA minimum spanning tree (MST) or minimum weight spanning tree for a weighted, connected, and undirected graph is a spanning tree (no cycles and connects all vertices) that has minimum weight. The weight of a spanning tree is the sum of all edges in the tree. In Kruskal's algorithm, we sort all edges
9 min read
Check whether a given graph is Bipartite or notGiven a graph with V vertices numbered from 0 to V-1 and a list of edges, determine whether the graph is bipartite or not.Note: A bipartite graph is a type of graph where the set of vertices can be divided into two disjoint sets, say U and V, such that every edge connects a vertex in U to a vertex i
8 min read
Eulerian path and circuit for undirected graphGiven an undirected connected graph with v nodes, and e edges, with adjacency list adj. We need to write a function that returns 2 if the graph contains an eulerian circuit or cycle, else if the graph contains an eulerian path, returns 1, otherwise, returns 0.A graph is said to be Eulerian if it con
9 min read
Special Graph
Group Theory
Mathematics | Graph Theory Basics - Set 1A Graph is just a way to show connections between things. It is set of edges and vertices where each edge is associated with unordered pair of vertices. Graph is a data structure that is defined by two components :Node or Vertex: It is a point or joint between two lines like people, cities, or websi
5 min read
Homomorphism & Isomorphism of GroupWe can say that  "o" is the binary operation on set G if: G is a non-empty set & G * G = { (a,b) : a , bâ G } and o : G * G --> G. Here, aob denotes the image of ordered pair (a,b) under the function/operation o.Example - "+" is called a binary operation on G (any non-empty set ) if & onl
7 min read
Group Isomorphisms and AutomorphismsIn the study of algebraic structures, group isomorphisms and automorphisms play a fundamental role. By defining internal symmetries inside a group (automorphisms) and when two groups have the same structure (isomorphisms), these ideas aid in our understanding of the structure and symmetry of groups.
7 min read
Group in Maths: Group TheoryGroup theory is one of the most important branches of abstract algebra which is concerned with the concept of the group. A group consists of a set equipped with a binary operation that satisfies four key properties: specifically, it includes property of closure, associativity, the existence of an id
13 min read