Animated Solution for Mathematics - Matrices and Determinants: Let A=121−1111−31 and 10B=4−5120−22α3. If B is the inverse of matrix A, then α is
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Visualized Solution
Introduction to Matrices A and 10B
Given matrix A=121−1111−31
Given matrix 10B=4−5120−22α3
We need to find α given that B=A−1.
The Fundamental Property of Inverse
By definition of inverse matrices: AB=I
Multiplying both sides by 10: A(10B)=10I
Defining the Target Matrix 10I
The identity matrix I=100010001
Therefore, 10I=100001000010
Strategy for Finding α
We only need to calculate one element of the product A(10B).
α is in the third column of 10B.
Let's multiply Row 1 of A with Column 3 of 10B.
Equating to the Target Element
The product of Row 1 and Column 3 gives the (1,3) element.
In the target matrix 10I, the (1,3) element is 0.
Raw Setup (Substitution)
Row 1 of A: [1−11]
Column 3 of 10B: 2α3
Product: (1)(2)+(−1)(α)+(1)(3)=0
Atomic Compute (Execution)
Simplifying the terms:
(1)(2)=2
(−1)(α)=−α
(1)(3)=3
Equation becomes: 2−α+3=0
Final Conclusion
Combining constants: 5−α=0
Solving for α: α=5
The correct option is (1).
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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 A and a matrix 10B where B is the inverse of A, your first instinct might be to jump into the deep end: calculating the inverse of A. 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:
A=121−1111−31,10B=4−5120−22α3
We are told B=A−1. The definition of an inverse is simple yet profound: AB=I.
This is the bedrock of our solution. However, working with B directly would introduce fractions, and fractions are where calculation errors love to hide.
Instead, let us multiply both sides of AB=I by 10. This gives us:
A(10B)=10I
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: 10I. This is the identity matrix scaled by 10, which looks like this:
10I=100001000010
Notice the zeros in the off-diagonal positions? This is a goldmine.
We need to find α, which sits in the second row, third column of 10B. But wait—if we multiply the first row of A by the third column of 10B, we get the element at position (1,3) of the product matrix.
Looking at our target 10I, the element at (1,3) is 0. 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 A, which is [1−11], and the third column of 10B, which is 2α3.
The dot product is:
(1)(2)+(−1)(α)+(1)(3)=0
Simplifying this, we get:
2−α+3=0
Combining the constants, we have 5−α=0, which leads us directly to α=5.
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.