Sigma Percentile
JEE Main 2004
LEVELBoard

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

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Visualized Solution

Introduction to Matrices and

  • Given matrix
  • Given matrix
  • We need to find given that .

The Fundamental Property of Inverse

  • By definition of inverse matrices:
  • Multiplying both sides by :

Defining the Target Matrix

  • The identity matrix
  • Therefore,

Strategy for Finding

  • We only need to calculate one element of the product .
  • is in the third column of .
  • Let's multiply Row 1 of with Column 3 of .

Equating to the Target Element

  • The product of Row 1 and Column 3 gives the element.
  • In the target matrix , the element is .

Raw Setup (Substitution)

  • Row 1 of :
  • Column 3 of :
  • Product:

Atomic Compute (Execution)

  • Simplifying the terms:
  • Equation becomes:

Final Conclusion

  • Combining constants:
  • Solving for :
  • The correct option is (1).

The Sigma Insight: Adjoint and Inverse of a Matrix

Solution Diagram

The Matrix Mystery

Why Brute Force is Your Enemy
Welcome, future engineers. Today, we are going to dismantle a classic matrix problem that often trips up even the brightest students.
When you see a matrix and a matrix where is the inverse of , your first instinct might be to jump into the deep end: calculating the inverse of . Stop. Take a breath.
In the world of JEE Advanced, the most elegant solution is rarely the one that requires the most writing. Let us embark on a journey to solve this using the 'Sniper Approach'.

The Fundamental Truth

We are given:
We are told . The definition of an inverse is simple yet profound: .
This is the bedrock of our solution. However, working with directly would introduce fractions, and fractions are where calculation errors love to hide.
Instead, let us multiply both sides of by . This gives us:
Now, we are working with the exact matrix provided in the question. No fractions, no mess, just pure linear algebra.

The Sniper Approach

Now, look at the target: . This is the identity matrix scaled by , which looks like this:
Notice the zeros in the off-diagonal positions? This is a goldmine.
We need to find , which sits in the second row, third column of . But wait—if we multiply the first row of by the third column of , we get the element at position of the product matrix.
Looking at our target , the element at is . This is our key! By focusing only on this specific multiplication, we bypass the need to calculate the entire matrix product.

The Calculation

Let us execute this with precision. We take the first row of , which is , and the third column of , which is .
The dot product is:
Simplifying this, we get:
Combining the constants, we have , which leads us directly to .

The Takeaway

Did you see how we turned a potentially tedious problem into a simple arithmetic equation? The beauty of this problem lies not in the complexity of the matrices, but in the strategy of the approach.
Always look for the property that simplifies the system. When you are in the exam hall, remember: don't just calculate—think. You have the tools, you have the logic, and now you have the strategy. Go forth and conquer.

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