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JEE Main 2025 (January)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: The system of equations has no solution if

Select Answer:

Visualized Solution

System of Equations

  • System of equations:

Cramer's Rule Logic

  • For no solution:
  • (Main determinant must be zero)
  • At least one of

Matrix of Coefficients

Expanding along

  • Expanding along the first row:

Simplifying

Finding for

  • For no solution, :

Determinant

  • To ensure no solution, we need .

Expanding

  • Expanding along the first row:

Simplifying

Finding Constraint on

  • For no solution, :

Final Result

  • Final Conditions:
  • Correct Option:

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 vast, three-dimensional space. You have three flat, infinite sheets of glass—these are your planes, defined by the equations , , and .
In a perfect world, these three planes would meet at a single, beautiful point, representing the unique solution . But today, we are looking for the chaos—the moment when these planes refuse to meet. We are looking for the condition of no solution.

The Gatekeeper

The Determinant
To understand why a system fails, we must look at the coefficient matrix . Think of as the 'DNA' of the system; it tells us whether the equations are linearly independent.
If $D eq 0$, the planes are oriented such that they must intersect at exactly one point. If , the planes are 'linearly dependent'—they are either parallel or they intersect in a way that does not provide a single point of convergence.
We calculate the determinant:
Expanding this along the first row, we get:
As we simplify this, the tension builds. We find , which collapses beautifully into .
For the system to have any chance of being inconsistent, we must have . Thus, the first piece of our puzzle falls into place: . If were anything else, the system would have a unique solution, and our search for 'no solution' would be over before it began.

The Trap

Distinguishing Inconsistency from Infinity
Now, here is where most students stumble. They find and stop. But wait! If , the system could either have no solution or infinitely many solutions.
To tell the difference, we look at the 'replacement' determinants, specifically . Think of as the 'test of consistency'. We replace the third column of our matrix with the constants from the right-hand side of our equations:
Expanding this, we get:
Simplifying this expression, we arrive at , which simplifies to .

The Final Revelation

If were zero, the planes would be perfectly aligned to intersect along a line, giving us infinitely many solutions. But we want no solution. We want the planes to be parallel or shifted such that they never touch.
Therefore, we demand that $D_z eq 0$. This leads us to the final condition: $\mu - 18 eq 0$, or simply $\mu eq 18$.
When you look at the final result— and $\mu eq 18$—you aren't just looking at numbers. You are looking at the geometric configuration where the planes are forced into a state of perpetual disagreement.
You have mastered the logic of the system, navigated the trap of infinite solutions, and arrived at the truth. Every time you face a system of equations, remember: you are not just solving for and ; you are orchestrating the geometry of space itself.

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