Sigma Percentile
JEE Main 2021 (27 Aug Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let be the greatest integer less than or equal to . The set of all values of for which the system of linear equations has a solution is:

Select Answer:

Visualized Solution

System of Linear Equations

  • Given System:
  • Goal: Find values of for which a solution exists.

Cramer's Rule: Coefficient Determinant

  • For a system to have a unique solution, the determinant of coefficients .

Expanding the Determinant

  • Expanding along the first row:

Simplifying

Case 1: Unique Solution Condition

  • For a unique solution, .
  • If , the system is consistent (has a unique solution).

Case 2: When

  • What if ?
  • If , the system can have no solution or infinitely many solutions.
  • We must check the values of .

Calculating for

  • Substitute into the constant terms.

Calculating and

  • Similarly, calculate and :

Conclusion for

  • Since , the system has infinitely many solutions.
  • Therefore, the system is consistent even when .

Final Answer

  • Summary:
  • If , unique solution exists.
  • If , infinitely many solutions exist.
  • In all cases, a solution exists!
  • Therefore, can be any real number.
  • Solution Set:

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

Analyzing the Setup

Imagine you are standing in a three-dimensional room. You have three sheets of glass, each representing an equation: , , and .
Your goal is to find where these sheets intersect. Do they meet at a single point, share a common line, or never touch at all? This is the heart of linear algebra.

The Diagnostic Tool

The Determinant
Before we dive into the deep end, we need a compass. In linear algebra, that compass is the determinant of the coefficient matrix, . If $D eq 0$, the system is "well-behaved" and possesses a unique solution.
We calculate as:
Expanding this along the first row, we get:
As you simplify this, the terms collapse beautifully into:
This is our "critical point." If $\lambda eq -9$, the system is guaranteed to have a unique solution.

The Moment of Truth

When
When , the determinant vanishes. The system loses its unique solution. To determine if it becomes impossible or infinitely flexible, we turn to the auxiliary determinants , , and .
These are the gatekeepers of consistency. If and , the system is consistent, meaning the planes intersect at a line or coincide.
Substituting into our system, we calculate :
It is zero! The tension breaks. If you repeat this for and , you will find they also vanish.
This tells us that even at the "danger zone" where , the system remains consistent. It simply shifts from having a unique point of intersection to having an infinite number of solutions along a line.

The Grand Conclusion

We checked the case where the system is unique ($\lambda eq -9$) and the case where it is dependent (). In both scenarios, the system has a solution.
Since the system is consistent for every value of , there is no value that makes the system inconsistent. Therefore, can be any real number.
The set of all values is . You have successfully navigated the geometry of these planes and proven that no matter how you tweak the parameter , the system holds together.

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