A matrix (plural: matrices) is a rectangular arrangement of symbols along rows and columns that might be real or complex numbers. Thus, a system of m x n symbols arranged in a rectangular formation along m rows and n columns is called an m by n matrix (which is written as m x n matrix). There are special types of matrices like Orthogonal matrices, Unitary matrices, and Idempotent matrices. In real life, we use orthogonal matrices in Euclidean space, Multivariate time series analysis, and multichannel signal processing.
JEE Main 2025: Sample Papers | Mock Tests | PYQs | Study Plan 100 Days
JEE Main 2025: Maths Formulas | Study Materials
JEE Main 2025: Syllabus | Preparation Guide | High Scoring Topics
In this article, we will cover the concept of Orthogonal matrices. This category falls under the broader category of Matrices, which is a crucial Chapter in class 12 Mathematics. It is not only essential for board exams but also for competitive exams like the Joint Entrance Examination(JEE Main) and other entrance exams such as SRMJEE, BITSAT, WBJEE, BCECE, and more. A total of twelve questions have been asked on this topic in JEE MAINS(2013 - 2023) including one in 2021 and one in 2023.
The square matrix is the matrix in which the number of rows = number of columns. So a matrix is said to be a square matrix when m = n.
E.g.
A matrix is said to be an orthogonal matrix if the product of a matrix and its transpose gives an identity matrix. A square matrix with real numbers or elements is said to be an orthogonal matrix if its transpose is equal to its inverse matrix.
A square matrix is said to be an orthogonal matrix if AA’ = I, where I is the identity matrix.
1) . AA’ = I ⇒ A-1 = A
2) The product of two orthogonal matrices is also an orthogonal matrix. If A and B are orthogonal then AB is also orthogonal.
3) The inverse of the orthogonal matrix is also orthogonal. If A is orthogonal the A-1 is also orthogonal.
4) All the orthogonal matrices are invertible.
5) The determinant of an orthogonal matrix is always equal to the -1 or +1. If A is orthogonal then | A| =1 or -1
6) All orthogonal matrices are square matrices but not all square matrices are orthogonal.
7) All identity matrices are orthogonal matrices.
8) The transpose of the orthogonal matrix is also orthogonal. If A is orthogonal then A’ is also orthogonal.
Example 1: A is a orthogonal matrix where . Then find the value of .
1) 1
2)
3)
4) None of these
Solution:
Orthogonal matrix -
- wherein
is transpose matrix of matrix and is identity matrix
Orthogonal matrix
No value of 2 exist
Example 2: If A = is orthogonal, then find a,b,c
1)
2)
3)
4)
Solution: We know that Orthogonal matrix -
where, is a transpose matrix of matrix and is the identity matrix
For Orthogonal Matrices, AA' = I
On comparing
Hence, the answer is option 3.
Example 3: Which of the following statements about an orthogonal matrix \( A \) is **not** true?
1) \( A^{-1} = A^T \)
2) The columns of \( A \) are orthonormal vectors.
3) The determinant of \( A \) is always zero.
4) \( A A^T = I \)
Solution:
1) True. For an orthogonal matrix \( A \), \( A^{-1} = A^T \).
2) True. The columns (and rows) of an orthogonal matrix are orthonormal vectors.
3) False. The determinant of an orthogonal matrix is \( \pm 1 \), not zero.
4) True. For an orthogonal matrix, \( A A^T = I \).
Hence, the answer is option 3.
Example 4: Suppose that a, b, and c are real numbers such that a + b + c = 1. If the matrix is orthogonal, then:
1) At least one of a, b, and c is negative
2) |A| is negative
3) a3 + b3 + c3 – 3abc = 1
4) All of these
Solution: we know that Circulant determinant - The elements of the rows (or columns) are in a cyclic arrangement
eg:-
AAT = ATA = I. Also AT = A, so A2 = I A is an involuntary matrix.
|A2| = |A|2 = 1 or |A| = ±1
But |A| =
|A| = ab + bc + ca – a2 – b2 – c2
a2 + b2 + c2 – ab – bc – ca 0
So |A| = -1. Hence a3 + b3 + c3 – 3abc = 1.
Again a2 + b2 + c2 – ab – bc – ca = 1 1 – 3(ab + bc + c(A) = 1, so ab + bc + ca = 0
At least one of a, b, and c is negative.
Hence, the answer is the option (4).
Example 5: Let , where x,y, and z are real numbers such that
If then the value of is______ [JEE MAINS 2021]
1) 7
2) 2
3) 5
4) 9
Solution
Thus,
Hence, the answer is the option 1.
Orthogonal matrices are a special type of matrices. Orthogonal matrices have the ability to preserve lengths and angles during transformations like rotations and reflections. They are fundamental in fields such as geometry, signal processing, and quantum mechanics, where their properties play a key role in both theoretical understanding and practical applications.
A matrix is said to be an orthogonal matrix if the product of a matrix and its transpose gives an identity matrix. A square matrix with real numbers or elements is said to be an orthogonal matrix if its transpose is equal to its inverse matrix.
The product of two orthogonal matrices is also an orthogonal matrix. If A and B are orthogonal then AB is also orthogonal.
The determinant of an orthogonal matrix is always equal to the -1 or +1. If A is orthogonal then | A| =1 or -1
No, All orthogonal matrices are square matrices but not all square matrices are orthogonal.
The square matrix is the matrix in which the number of rows = number of columns. So a matrix is said to be a square matrix when m = n
19 Sep'24 02:02 PM
19 Sep'24 11:55 AM
19 Sep'24 11:49 AM
19 Sep'24 11:38 AM
19 Sep'24 11:37 AM
19 Sep'24 11:25 AM
19 Sep'24 11:17 AM
19 Sep'24 11:00 AM
19 Sep'24 10:46 AM
19 Sep'24 10:39 AM