Sigma Percentile
JEE Main 2022 (25 June Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: The system of equations , , is consistent for all in the set

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Visualized Solution

Conditions for Consistency

  • A system of linear equations is consistent if it has at least one solution.
  • Unique solution: .
  • Infinitely many solutions: and .
  • Inconsistent (no solution): and at least one of .

Forming the Determinant

  • The coefficient determinant is formed by the coefficients of :

Expanding along

  • Expanding along the first row ():

Simplifying

Critical Values for

  • For a unique solution, we need .
  • and .
  • We must check the system's behavior exactly at and .

Evaluating at

  • If , . Let's check :
  • Since and , the system is inconsistent for .

Evaluating at

  • If , . Let's check :
  • Since and , the system is inconsistent for .

Final Solution Set

  • The system is consistent for all except where it is inconsistent.
  • Inconsistency occurs exactly at and .
  • Therefore, the system is consistent for .

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

Analyzing the Setup

Welcome, future engineers! Today, we are going to peel back the layers of a classic linear algebra problem. Imagine you are standing in a 3D room, and these three equations represent three planes.
Consistency is simply the question: "Do these planes meet?" If they meet at a single point, the system is consistent with a unique solution. If they meet along a line or coincide, they are still consistent, but with infinitely many solutions. If they never meet, the system is inconsistent.
Our goal is to find the values of for which this system is consistent.

The Determinant as a Gatekeeper

To analyze this, we use the main coefficient determinant, . This determinant is the gatekeeper of our system. If $\Delta eq 0$, the system is guaranteed to have a unique solution, and thus, it is consistent.
The matrix is formed by the coefficients of , , and :
Expanding this along the first row, we get:
Simplifying this, we find:
This reduces beautifully to:

The Danger Zones

Now, the plot thickens. If , we are in a "danger zone" where the system might be inconsistent. Setting gives us and .
For any other value of , the system is perfectly consistent. But what happens at these two critical points? We must test them.
We use Cramer's Rule: if and at least one of the auxiliary determinants () is non-zero, the system is inconsistent.
Let's test by calculating :
After careful expansion, we find , which is clearly not zero. Since and $\Delta_z eq 0$, the system is inconsistent at .
Repeating this for , we find , which is also non-zero. Thus, the system is inconsistent at both and .

The Final Verdict

We have systematically dismantled the problem. The system is consistent for all real numbers except for the two points where it breaks down.
Therefore, the set of consistent values is .
You have successfully navigated the logic of linear systems. Keep this analytical mindset, and no problem will ever be too daunting!

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