Sigma Percentile
JEE Main 2017
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If S is the set of distinct values of 'b' for which the following system of linear equations , , has no solution, then S is:

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Visualized Solution

The Given System

  • Given system of equations:
  • 1.
  • 2.
  • 3.
  • We need to find the set of values of for which the system has no solution.

The Determinant Condition

  • For the system to have no solution, the determinant of coefficients must be zero.

Expanding the Determinant

  • Expanding along the first row:

Simplifying

  • Canceling out and :
  • Factoring out the negative sign:

Finding the Value of

  • Equating to zero:

Substituting

  • Substitute back into the original system:
  • 1.
  • 2.
  • 3.
  • Notice that equations 1 and 2 are now identical.

Condition for No Solution

  • The system reduces to two distinct planes:
  • For no solution, these two planes must be strictly parallel (non-intersecting).

Applying Parallelism Condition

  • For planes and to be parallel:
  • Applying this to our planes:

Solving for

  • From the ratio :
  • Checking the constant ratio: (Condition satisfied).

Final Conclusion

  • The only value of that results in no solution is .
  • Therefore, the set .
  • Since contains exactly one element, it is a singleton set.

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

Solution Diagram

Analyzing the Setup

My dear student, welcome to the fascinating world of linear algebra. Today, we are not just solving a system of equations; we are exploring the geometric soul of three-dimensional space.
Imagine you are standing in a room where three large, flat sheets of glass represent our equations:
Our mission is to find the value of that makes these planes refuse to meet. This is the condition of 'no solution'.

The Gatekeeper

The Determinant
To begin, we must ask: when does a system of three equations fail to have a unique solution? The answer lies in the determinant of the coefficient matrix, which we denote as .
If $\Delta eq 0$, the planes intersect at a single, beautiful point. But we want chaos, we want no intersection! So, we must force .
Let us write down our matrix:
Expanding this along the first row, we get:
Simplifying this, we see the terms . Notice how the and terms vanish into thin air! We are left with , which is simply .
Setting this to zero, we find that must be . This is our first major breakthrough.

The Collapse

When Planes Align
Now, let us substitute back into our original system. The equations become:
Look closely! The first two equations are identical. They represent the exact same plane.
Our system has collapsed from three planes down to just two distinct planes: and . For there to be no solution, these two remaining planes must be strictly parallel. They must be like two train tracks that run forever without ever touching.

The Final Showdown

Parallelism
How do we ensure two planes are parallel? We look at their normal vectors. For planes and , they are parallel if:
Applying this to our system, we have:
The equality immediately tells us that . Checking the constant terms, $1 eq 0$ is a true statement, confirming that the planes are indeed distinct and parallel.
We have arrived at our destination. The set of values for is simply the singleton set . It is elegant, it is precise, and it is the only way to satisfy the condition of no solution.

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