Orthogonal Matrix: Overview, Questions, Preparation

Matrices and Determinants 2021 ( Matrices and Determinants )

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Rachit Kumar Saxena

Rachit Kumar SaxenaManager-Editorial

Updated on Jul 25, 2021 12:03 IST

What is Orthogonal Matrix?

In mathematics, we all know that a matrix is an arrangement of numbers in rows and columns in a rectangular array. When a square matrix(matrix whose rows and columns are equal in number)whose inverse and transpose are identical, then the square matrix is orthogonal. Suppose we have a square matrix X of n*n order and if XT(Transpose) = X-1(Inverse), then X will be an orthogonal matrix.

Orthogonal_Matrix_1

The determinant of Orthogonal Matrix

Let A be a 2x2 square matrix, A =

Orthogonal_Matrix_2

Therefore whenever we evaluate the determinant of A,
|A| = a1.a4 - a2.a3, then |A| will always result into ±1 if it is a square matrix.

Orthogonal Matrix Properties

  • Only from the square matrix, we can obtain an orthogonal matrix.
  • All the elements present in the orthogonal matrix are real elements.
  • All the Identity matrices are the perfect example of an orthogonal matrix.
  • The determinant of an orthogonal matrix(denoted by O) is either +1 or -1.
  • If a matrix X is orthogonal, then its transpose, as well as its inverse matrix, will also result in an orthogonal matrix.

Weightage of Orthogonal Matrix

An orthogonal matrix is a part of class XII mathematics' chapter Matrices; the respective chapter is highly crucial for class XII and other competitive exams. In class XII mathematics exam, the chapter's question holds a total weightage by 8 to 10 marks. 

The chapter of matrices in class XII mathematics also contains other topics like

  • Diagonal Matrix: In this matrix, all the non-diagonal elements are zero.
  • Square Matrix: When the number of columns and rows are equal.
  • Scalar Matrix: When all the diagonal elements in a diagonal matrix are identical.
  • Identity Matrix: When all the diagonal elements are 1, the rest are 0 in a zero matrix.

Apart from that, the chapter also includes -

  • operations on the matrices
  • finding determinants
  • finding the matrix's transpose and inverse
  • calculating minors and co-factors, etc.

Illustrative Examples on Orthogonal Matrix

1.Check whether the matrix X is an orthogonal matrix or not?
X=

Orthogonal_Matrix_3

Solution.

We know that the orthogonal matrix's determinant is always ±1.
The determinant of X = cos x.cos x - sin x.(-sin x) 
= cos2x + sin2x = 1.
Value of |X| = 1, Hence it is an orthogonal matrix.

2. We have a matrix P of order 3 x 3.  Check if P is an orthogonal matrix or not?

Orthogonal_Matrix_4

Solution.

We can see that P is a diagonal matrix, and if we calculate the determinant of P and its transpose, then it will be equal. And this satisfies the property of the orthogonal matrix. Hence P is an orthogonal matrix.

3. Prove orthogonal property that multiplies the matrix by transposing results into an identity matrix if A is the given matrix.  

Solution.

Orthogonal_Matrix_5

FAQs on Orthogonal Matrix

Q:  What do we receive from the square matrix multiplication and transpose when the square matrix is orthogonal?

A: We receive an identity matrix in an orthogonal matrix from the multiplication of the matrix and its transpose.

Q: Does the product of 2 orthogonal matrices also result in an orthogonal matrix?

A: Yes, the result will also be an orthogonal matrix.

Q: What is the Orthogonal Group?

A: It is the collection of the orthogonal matrix of order n x n in a group.

Q: What is the determinant of identity and a zero matrix?

A: Determinant of Identity Matrix = 1, Determinant of Zero Matrix = 0.

Q: What is the Diagonal Matrix?

A: When the non-diagonal elements in a matrix are 0.

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