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JEE Main 2005
LEVELBoard

Animated Solution for Mathematics - Matrices and Determinants: If , then the inverse of is

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Visualized Solution

Given Matrix Equation

  • We are given the matrix equation:
  • Here, is a square matrix, and represents the identity matrix of the same order.
  • Our goal is to find an expression for the inverse matrix, .

Strategy: Pre-multiplying by

  • To introduce into the equation, we can multiply both sides of the equation by .
  • Since matrix multiplication is not commutative in general, we must be consistent: we will pre-multiply (multiply from the left) both sides.
  • Equation becomes:

Applying the Distributive Law

  • Matrix multiplication distributes over addition and subtraction:
  • So, the equation expands to:

Simplifying

  • Recall that .
  • Using the associative property:
  • Since , we get:

Simplifying and

  • By definition of the inverse matrix:
  • By definition of the identity matrix:
  • Substituting these back gives:

Isolating the Inverse Matrix

  • We have the simplified equation:
  • To isolate , we move and to the right-hand side.
  • This gives:

Final Answer & Key Takeaway

  • The inverse of matrix is indeed .
  • This matches Option 4.
  • Verification: We can verify by multiplying with :
  • . Since . Thus, is indeed the inverse!

The Sigma Insight: Adjoint and Inverse of a Matrix

Solution Diagram

Analyzing the Setup

Imagine you are standing at the threshold of a new dimension in mathematics. You have encountered the equation .
At first glance, it looks like a simple quadratic equation, but you are dealing with matrices—the architects of linear transformations. This is not just arithmetic; it is the language of how space and vectors shift, rotate, and scale.

The Strategy

The Power of Pre-multiplication
In standard algebra, if you had , you might reach for the quadratic formula. But here, we have a matrix . We cannot simply 'divide' by because matrix division is not defined.
Instead, we use a surgical tool: pre-multiplication. We want to introduce into the equation. By multiplying the entire equation from the left by , we are essentially applying the 'undo' transformation to the entire system.
We write:
The right side is easy; any matrix multiplied by the zero matrix remains the zero matrix. The left side, however, is where the magic happens.

The Expansion

Distributing the Inverse
Matrix multiplication is distributive. This means we can distribute to every term inside the parentheses:
Now, let us look at each term with the eye of a master. The first term, , is . By the associative property, this is , which simplifies to , and finally to .
The second term, , is the very definition of the identity matrix . The third term, , is simply , because the identity matrix is the 'unity' of the matrix world—it leaves any matrix unchanged.

The Final Revelation

Isolating the Inverse
Substituting these back, we get:
We are almost at the finish line. We want to isolate . With a simple rearrangement, we move and to the other side:
It is beautiful, isn't it? The inverse of is simply the identity matrix minus itself. This result is not just a solution; it is a testament to the internal consistency of linear algebra.
We can even verify it:
Since , it follows that . The circle is complete. You have successfully navigated the matrix landscape. Keep this intuition—that matrices are transformations—and you will find that no equation is too daunting to solve.

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