
A matrix is an ordered rectangular array of numbers (real or complex) or functions which are known as elements or the entries of the matrix. It is denoted by the upper-case letters i.e., A, B, C etc. The array is enclosed by brackets , the parentheses and the double vertical bars .
(1) A matrix having m rows and n columns is called a matrix of order (read as “m by n” matrix). And a matrix A of order is depicted as ; .
(2) Also, in general, means an element lying in the ith row and jth
(3) No. of elements in the matrix is given by .
In real life, a "matrix" refers to a rectangular array of numbers, variables, or symbols arranged in rows and columns. This structure is used in various fields to represent and manipulate data, solve equations, and perform transformations.
In a classroom setting, a matrix can be used to represent data organized in rows and columns, such as the attendance of students in a class or the grades of students in a particular subject. For instance, a 5x3 matrix could represent the attendance of five students over three days, where each cell in the matrix indicates whether a student was present or absent on a specific day.
- Mathematical Definition
- How Set is different from Matrix?
- Order Of a Matrix
- Equality of a Matrices:
- Transpose of a Matrix:
- Symmetric Matrix
- Skew Symmetric Matrix
- Invertible Matrix
- Operations on Matrix
- Important Points to Remember
Mathematical Definition
A matrix is a rectangular arrangement of elements, usually numbers, in rows and columns. We can alter exact elements using rules of algebra, like addition, subtraction, and multiplication. Matrices are used in linear algebra to represent linear transformations, solve systems of equations, and perform various calculations.
How Set is different from Matrix?
A set is a collection of distinct objects, while a matrix is a rectangular array of numbers or elements arranged in rows and columns. Sets focus on inclusion (whether an element belongs to a set), whereas matrices are structured for operations and transformations.
Order Of a Matrix
The order of a matrix represents its dimensions, specifically the number of rows and columns it has. It is denoted as m × n, where 'm' is the number of rows and 'n' is the number of columns.
Example:
A 2 × 3 matrix: This matrix has 2 rows and 3 columns. It could be represented as:
The order of this matrix is 2 × 3.
A 3 × 4 matrix: This matrix has 3 rows and 4 columns. It could be represented as:
The order of this matrix is 3 × 4.
To determine the order of a matrix, simply count the number of rows and columns and represent it as "rows × columns".
The order of a matrix, denoted as m x n, indicates the number of rows (m) and columns (n) it has. i and j are used to represent the row and column indices, respectively, when describing the location of a specific element within the matrix.
Explanation:
a) m: Represents the number of rows in the matrix.
b) n: Represents the number of columns in the matrix.
c) aij: Represents the element in the i-th row and j-th column of the matrix. For example, a12refers to the element in the first row and second column.
Equality of a Matrices:
Two matrices are considered equal if they have the same dimensions (same number of rows and columns) and all corresponding elements are identical. In simpler terms, if you compare each element in one matrix to the element in the same position in the other matrix, they must all be the same.
Transpose of a Matrix:
The transpose of a matrix is a new matrix formed by interchanging its rows and columns. If a matrix A has m rows and n columns, its transpose, denoted as A', will have n rows and m columns.
Symmetric Matrix
A symmetric matrix is a square matrix where the elements are mirrored across the main diagonal (top-left to bottom-right). In other words, if you were to flip the matrix over its diagonal, it would look the same.
Skew Symmetric Matrix
A skew-symmetric matrix is also a square matrix, but its transpose is equal to the negative of the original matrix. This means the elements across the diagonal are opposites of each other, and the diagonal elements are always zero.
Invertible Matrix
Operations on Matrix
Important Points to Remember
Maths Matrices Exam
Student Forum
Other Topics under this Chapter
Other Class 12th Maths Chapters
- Quantitative Aptitude Prep Tips for MBA
- Maths Integrals
- Maths Differential Equations
- Maths Vector Algebra
- Maths Matrices
- Maths Determinants
- Maths Inverse Trigonometric Functions
- Maths Differentiation
- NCERT Class 12 Maths
- Maths Continuity and Differentiability
- Maths Applications of Derivatives
- Maths Application of Integrals
- Maths Linear Programming
Popular Courses After 12th
Exams accepted
CA FoundationExams accepted
ICSI ExamExams accepted
BHU UET | GLAET | GD Goenka TestBachelor of Business Administration & Bachelor of Law
Exams accepted
CLAT | LSAT India | AIBEExams accepted
IPMAT | NMIMS - NPAT | SET
Exams accepted
BHU UET | KUK Entrance Exam | JMI Entrance ExamBachelor of Design in Animation (BDes)
Exams accepted
UCEED | NIFT Entrance Exam | NID Entrance ExamBA LLB (Bachelor of Arts + Bachelor of Laws)
Exams accepted
CLAT | AILET | LSAT IndiaBachelor of Journalism & Mass Communication (BJMC)
Exams accepted
LUACMAT | SRMHCAT | GD Goenka Test