Sigma Percentile
JEE Main 2023 (25 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let and be respectively the sets of all for which the system of linear equations , , has unique solution and infinitely many solutions. Then

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Visualized Solution

System of Equations

  • We are given a system of three linear equations with variables , , and .
  • The coefficients depend on a parameter .
  • We need to find sets (unique solution) and (infinitely many solutions).

The Determinant

  • For a system of linear equations, the nature of solutions depends on the determinant of the coefficient matrix, .
  • If , the system has a unique solution.
  • Let's construct using the coefficients of , , and .

Factoring out

  • Notice the first row : , , .
  • We can factor out from to simplify the determinant.

Column Operations

  • To expand easily, we create zeros in the first row.
  • Apply operations: and .
  • This transforms the first row to .

Expanding

  • Expanding the determinant along the first row ().

Simplifying the Expression

  • Expanding the brackets:
  • Subtracting the two gives:

Analyzing the Quadratic

  • We have .
  • We are given . So, cannot make .
  • We must check if the quadratic part can ever be zero.

Checking the Discriminant

  • For the quadratic , let's find the discriminant .
  • Since and , the quadratic is always positive.

Final Conclusion

  • Since and , we conclude for all .
  • Therefore, the system always has a unique solution.
  • and .

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

Solution Diagram

The Gatekeeper of Linear Systems

Imagine you are standing before a complex system of three linear equations. With variables , , and dancing around a parameter , it feels like the system could behave in any number of ways.
In the world of JEE Advanced, we don't guess; we analyze. The key to unlocking this mystery lies in the determinant of the coefficient matrix, which we call .
Think of as the gatekeeper. If $\Delta eq 0$, the system is stable, predictable, and yields a unique solution. If , the system enters a state of flux, potentially leading to infinitely many solutions or no solution at all.
Our mission is to find the values of that make this gatekeeper open or close.

The Art of Simplification

We start by constructing our matrix from the coefficients of , , and :
Many students would jump straight into expansion here, but that is a trap. Look at the first row: . There is a common factor of waiting to be pulled out.
Let's extract it:
Now, we have a much cleaner matrix. We want to create zeros to make the expansion trivial. By applying the column operations and , we transform the first row into .
The determinant becomes:

The Quadratic Mystery

Expanding along the first row is now a breeze. We are left with a two-by-two determinant calculation:
Let's expand these products carefully. The first term gives us , and the second gives us . Subtracting them, we get:
Now, we must ask: when is ? Since the problem restricts to , the outside the bracket is never zero.
The only hope for is if the quadratic equals zero. To check this, we look at the discriminant :
Since , the quadratic has no real roots. Because the leading coefficient is positive, the quadratic is always positive and never touches the -axis.

The Final Realization

We have reached the climax of our journey. We have proven that is never zero for any .
This means the system is always well-behaved, always consistent, and always yields a unique solution. Therefore, the set (unique solutions) is the entire set , and the set (infinitely many solutions) is the empty set, .
We have navigated the trap, simplified the chaos, and arrived at the elegant truth. The structure of this system is perfectly unique.

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