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JEE Main 2022 (29 July Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let and be two non-zero real matrices such that is a zero matrix. Then

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Visualized Solution

Given Matrix Equation

  • Given: are non-zero real matrices.
  • (where is the zero matrix).
  • Goal: Determine the nature of solutions for the system .

Determinant Property

  • Using the property:
  • Therefore,

Testing Invertibility of

  • Assume .
  • Then is non-singular and exists.
  • Pre-multiplying by :

The Contradiction

  • But it is given that .
  • This is a contradiction.

Determinant of is Zero

  • Hence, our assumption is wrong.
  • Therefore, .
  • Matrix is a singular matrix.

Analyzing System

  • For a homogeneous system :
  • If , there is a unique (trivial) solution .
  • If , there are infinitely many solutions.

Final Answer

  • Since , the system has infinitely many solutions.
  • Note: , so is not invertible.
  • Correct Option: The system of linear equations has infinitely many solutions.

The Sigma Insight: Solution of System of Linear Equations (Matrix Method and Cramer's Rule)

Solution Diagram

Analyzing the Setup

We are given two non-zero real matrices, and , such that their product is the zero matrix .
At first glance, one might assume that at least one of the matrices must be the zero matrix. However, in the elegant and counter-intuitive world of linear algebra, this is not necessarily true.

The Determinant Bridge

To understand the nature of these matrices, we utilize the property of determinants. We start with the given equation:
Taking the determinant of both sides, we have . Since the determinant of a zero matrix is , we obtain:
Invoking the multiplicative property of determinants, , we arrive at the crucial realization:
This equation implies that at least one of the determinants must be zero.

The Proof by Contradiction

Suppose, for the sake of argument, that $|A| eq 0$. If this were true, matrix would be non-singular and possess an inverse, .
We test this assumption by pre-multiplying the original equation by :
Using the associative property of matrix multiplication, we get . Since (the identity matrix), this simplifies to:
However, the problem explicitly states that is a non-zero matrix. This creates a contradiction, forcing us to conclude that . Thus, matrix must be a singular matrix.

The Geometric Reality of

With established, we examine the homogeneous system of linear equations .
In linear systems, the determinant acts as a gatekeeper. When , the transformation collapses space, projecting 3D space onto a lower-dimensional subspace such as a plane or a line.
Because the transformation is not injective, there exists a non-zero null space (or kernel). Any vector in this null space satisfies . Since the null space contains infinitely many vectors, the system must have infinitely many solutions.

The Final Elegance

We have proven that , which directly implies that the system has infinitely many solutions.
As a further observation, consider the adjoint matrix, . We know the identity:
For a matrix, this becomes:
Since , the determinant of the adjoint is also zero, meaning is not invertible. The beauty of this problem lies in how it forces us to abandon the simple rules of scalar arithmetic and embrace the structural properties of linear transformations.

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