Sigma Percentile
JEE Main 2020 (8 January Shift 2)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: The system of linear equations , , has:

Select Answer:

Visualized Solution

System of Equations

  • Given system of equations:

Coefficient Determinant

  • Let be the determinant of the coefficient matrix.

Expanding

  • Expanding along the first row:

Simplifying

Critical Values of

  • For non-unique solutions (no solution or infinitely many), we must have .
  • Multiplying by :

Solving for

  • Factorizing the quadratic equation:
  • or

Testing

  • Let's check the case when .
  • We calculate (or ) by replacing the first column of with the constant terms .

Forming

  • The first column of consists of the constants from the RHS of the equations.
  • Constants:

Evaluating

  • Expanding along the first row:

Value of

  • Since , .

Conclusion

  • For :
  • Therefore, the system has no solution.

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 planes defined by the equations:
These planes are like sheets of glass floating in space, and their intersection is what we call the solution to our system. The parameter shifts these planes, and our mission is to find the specific values of that cause these planes to either never meet or to overlap in a way that creates a line or plane of intersection.

The Determinant as the Gatekeeper

To unlock this mystery, we turn to the most powerful tool in our linear algebra arsenal: the determinant of the coefficient matrix, . Think of as the 'volume' or 'scaling factor' of the transformation defined by our system.
If $D eq 0$, the system is well-behaved and has a unique solution. When , the system collapses, and we enter the realm of inconsistency or dependency. Let us calculate :
Expanding this along the first row, we get:
Simplifying this expression, we find:

Finding the Critical Points

Now, we set to find the values of where the system's behavior changes. The equation is equivalent to:
Factoring this quadratic, we look for two numbers that multiply to and add to . Those numbers are and . Thus:
This gives us the critical values and .

The Investigation of

Let us test the case where . We know , but we must determine if the system is inconsistent or dependent. We calculate by replacing the first column of the coefficient matrix with the constants :
Expanding this, we get:
Since $D_1 = 16 eq 0$, the system is inconsistent. This means that when , the planes do not share a common point of intersection.
The algebraic conclusion is clear: there is no solution for this value. By systematically checking the determinant, you have proven that for , the system is inconsistent.

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