Sigma Percentile
JEE Main 2021 (26 February Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Consider the following system of equations: where and are real constants. Then the system of equations :

Select Answer:

Visualized Solution

Identifying the System of Equations

  • Given system of equations:

The Cramer's Rule Framework

  • To analyze the solutions, we use Cramer's Rule.
  • The nature of solutions depends on the determinant of the coefficient matrix, denoted as .

Setting up the Determinant

  • Extracting coefficients of :

Expanding along Row

  • Expanding along :

Calculating the Value of

Implications of

  • Since , a unique solution is not possible.
  • The system either has:
  • Infinite solutions (if )
  • No solution (if any )

Setting up

  • To find the condition for infinite solutions, we calculate .
  • Replace the first column of with constants :

Expanding

  • Expanding along :

Simplifying

  • Distributing the terms:
  • Grouping like terms:

Factoring

  • Factoring out the common multiple :

Applying the Condition for Infinite Solutions

  • For infinite solutions, we require .

Final Conclusion

  • By symmetry, if , then and will also evaluate to .
  • Therefore, when , the system satisfies .
  • The system has an infinite number of solutions.

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

Solution Diagram

Analyzing the Setup

Imagine you are standing in a three-dimensional space, looking at three distinct planes. Each equation in our system, , , and , represents one of these planes.
The question of whether this system has a solution is essentially asking: do these three planes meet? Do they collide at a single point, share a line, or perhaps never meet at all?

The Gatekeeper

The Determinant
To answer this, we turn to the most powerful tool in our linear algebra toolkit: the determinant of the coefficient matrix, . Think of as the 'gatekeeper' of the system. It tells us whether the system is well-behaved.
We construct it by extracting the coefficients of , , and :
Expanding this along the first row, we carefully compute:
Crunching the numbers, we get , which simplifies to . The gatekeeper has spoken: .
This tells us that the system is not 'well-behaved' in the sense of having a unique solution. We are now at a crossroads: the system either has infinite solutions or no solution at all.

The Hunt for Consistency

To distinguish between these two paths, we use Cramer's Rule. For the system to have infinite solutions, the numerator determinants—, , and —must also be zero.
Let's calculate by replacing the first column of our original matrix with the constants , , and :
Expanding this along the first row, we get:
Grouping the terms, we find . Simplifying this expression, we obtain:

The Grand Finale

For the system to have infinite solutions, we require . Setting our expression to zero, we get .
This simplifies beautifully to the condition:
This is the condition that forces the planes to align in a way that they share an infinite number of points. It is a moment of mathematical elegance—where the chaos of three variables and three constants collapses into a single, clean, and powerful relationship. You have successfully navigated the system and found the key to its infinite nature!

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