
If A is involutory matrix and I is unit matrix of same order, then (I-A)(I+A)
E. Zero matrix
F. A
G. I
H. 2A
Answer
232.8k+ views
Hint: If a matrix multiplied by itself yields the identity matrix, it is said to be an involutory matrix. The matrix that is its own inverse is an involutory matrix. If A\times A = I, the matrix A is referred to as an involutory matrix.
Complete step by step solution: We have given matrix A as an involutory matrix and I is the unit matrix of the same order.
We know that the matrix that is its own inverse is an involutory matrix
A^2 A = I
Therefore, on simplifying we get:
(I-A)(I+A)\\
=I^2-IA+IA-A^2\\
=I-{{A}^{2}} [\because A^2=I]\\
=O
So, (I-A)(I+A) is a zero matrix.
Option ‘A’ is correct
Note: An involutory matrix in mathematics is a square matrix that is its own inverse. In other words, if and only if A^2 = I, where I is the n × n identity matrix, then multiplying by the matrix A results in an involution.
Additional Information Involutory Matrix Properties
A is also an involutory matrix if A and B are involutory matrices with AB = BA.
An involutory matrix is also a block diagonal matrix A derived from an involutory matrix.
Involutory matrices' eigenvalues are always +1 and -1.
Any involutory matrix's determinant is always 1.
Each and every symmetric involutory matrix is an orthogonal involutory matrix, and the reverse is also true.
A matrix A is also involutory for all integers n if A is involutory. If n is even, then An = I, and if n is odd, then An = A.
If and only if A is an identity matrix, an involutory matrix A is an idempotent matrix.
Complete step by step solution: We have given matrix A as an involutory matrix and I is the unit matrix of the same order.
We know that the matrix that is its own inverse is an involutory matrix
A^2 A = I
Therefore, on simplifying we get:
(I-A)(I+A)\\
=I^2-IA+IA-A^2\\
=I-{{A}^{2}} [\because A^2=I]\\
=O
So, (I-A)(I+A) is a zero matrix.
Option ‘A’ is correct
Note: An involutory matrix in mathematics is a square matrix that is its own inverse. In other words, if and only if A^2 = I, where I is the n × n identity matrix, then multiplying by the matrix A results in an involution.
Additional Information Involutory Matrix Properties
A is also an involutory matrix if A and B are involutory matrices with AB = BA.
An involutory matrix is also a block diagonal matrix A derived from an involutory matrix.
Involutory matrices' eigenvalues are always +1 and -1.
Any involutory matrix's determinant is always 1.
Each and every symmetric involutory matrix is an orthogonal involutory matrix, and the reverse is also true.
A matrix A is also involutory for all integers n if A is involutory. If n is even, then An = I, and if n is odd, then An = A.
If and only if A is an identity matrix, an involutory matrix A is an idempotent matrix.
Recently Updated Pages
JEE Main 2023 April 6 Shift 1 Question Paper with Answer Key

JEE Main 2023 April 6 Shift 2 Question Paper with Answer Key

JEE Main 2023 (January 31 Evening Shift) Question Paper with Solutions [PDF]

JEE Main 2023 January 30 Shift 2 Question Paper with Answer Key

JEE Main 2023 January 25 Shift 1 Question Paper with Answer Key

JEE Main 2023 January 24 Shift 2 Question Paper with Answer Key

Trending doubts
JEE Main 2026: Session 2 Registration Open, City Intimation Slip, Exam Dates, Syllabus & Eligibility

JEE Main 2026 Application Login: Direct Link, Registration, Form Fill, and Steps

Understanding the Angle of Deviation in a Prism

Hybridisation in Chemistry – Concept, Types & Applications

How to Convert a Galvanometer into an Ammeter or Voltmeter

Understanding the Electric Field of a Uniformly Charged Ring

Other Pages
JEE Advanced Marks vs Ranks 2025: Understanding Category-wise Qualifying Marks and Previous Year Cut-offs

NCERT Solutions For Class 11 Maths Chapter 12 Limits and Derivatives (2025-26)

NCERT Solutions For Class 11 Maths Chapter 10 Conic Sections (2025-26)

JEE Advanced Weightage 2025 Chapter-Wise for Physics, Maths and Chemistry

Derivation of Equation of Trajectory Explained for Students

Understanding Electromagnetic Waves and Their Importance

