Sigma Percentile
JEE Main 2023 (29 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Consider the following system of equations , , For some . Then which of the following is NOT correct.

Select Answer:

Visualized Solution

Setting up Determinant

  • To analyze solutions, we use Cramer's rule.
  • The determinant of the coefficient matrix is:

Expanding the Determinant

  • Expanding along the first row:

Simplifying the Expression

  • Simplifying the terms:

Factoring

  • Factoring the quadratic expression:

Analyzing Case

  • If , then .
  • We need to check to determine the nature of solutions.

Calculating

  • For , the determinant is:

Simplifying

  • Expanding :

Infinite Solutions Case

  • If and , then and .
  • Checking and also yields zero.
  • Thus, for , there are infinitely many solutions.

Identifying the Incorrect Statement

  • Statement (2) says: "It has no solution for and for all ".
  • This is incorrect because for and , solutions exist.
  • Therefore, the incorrect statement is (2).

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

Solution Diagram

The Geometry of Linear Systems

Imagine you are standing in a three-dimensional space, looking at three planes defined by our equations. Each equation represents a flat surface. A unique solution exists only if these three planes intersect at a single, precise point.
But what happens when the planes are parallel, or when they intersect along a line, or when they are all the same plane? This is the physical reality behind the algebraic condition .
When the determinant of the coefficient matrix is zero, the planes do not intersect at a single point. They are either parallel (no solution) or they intersect in a way that creates a line or plane of solutions (infinitely many solutions).

The Determinant as a Gatekeeper

We begin by setting up the determinant of the coefficient matrix:
This determinant is the gatekeeper; it tells us whether the system is well-behaved. Expanding along the first row, we calculate:
As we simplify this, we must be meticulous. Distributing the terms, we get:
Combining the like terms, we arrive at the elegant quadratic:
Factoring this, we find . This tells us that the system's behavior changes dramatically at and . These are our critical values.

The Singularity at

Let us focus on the case . At this value, , meaning the system is either inconsistent or dependent.
To distinguish between these, we look at the numerator determinant . We replace the first column of our matrix with the constants from the right-hand side: and :
Expanding this, we get:
Simplifying this, we find , which reduces to . This is a profound result.
If $\beta eq 2$, then $D_x eq 0$, and the system has no solution. However, if , then . In this specific scenario, checking and also yields zero, confirming that the system has infinitely many solutions.

The Final Verdict

We are now equipped to evaluate the options. Statement (2) claims that for , there is no solution for all .
We have just proven that this is false because when , the system actually has infinitely many solutions. Therefore, statement (2) is the incorrect one.
This problem teaches us that parameters are not just variables; they are the knobs that tune the geometry of the system. By understanding the determinant, we have mastered the system's behavior.

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