Sigma Percentile
JEE Main 2019 (9 January)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If the system of linear equations , , is consistent, then :

Select Answer:

Visualized Solution

System of Linear Equations

  • Plane
  • Plane
  • Plane
  • Condition: The system is consistent.

Coefficient Matrix Determinant

  • Coefficient Matrix
  • Let's find the determinant .

Expanding

  • Expanding along the first column ():

Calculating

Condition for Consistency

  • Since , the system has either no solution or infinite solutions.
  • Given it is consistent, it must have infinite solutions.
  • Geometrically, the planes intersect along a common line.

Linear Dependency of Equations

  • For infinite solutions, the equations must be linearly dependent.
  • There exist constants (not all zero) such that:

Finding Dependency: -coefficients

  • Let's equate the coefficients of to zero:

Finding Dependency: -coefficients

  • Equating the coefficients of to zero:
  • Substitute :

Solving for

Choosing Values for

  • We have and .
  • Let's choose .
  • Then and .
  • The dependency is:

Verifying -coefficients

  • Let's quickly verify this with the coefficients:
  • (Verified!)

Applying Dependency to Constants

  • For the system to be consistent, the same linear dependency must apply to the constant terms on the Right Hand Side.
  • Substitute :

Final Answer

  • Final Relation:
  • This matches Option (2).
  • Key Takeaway: If and the system is consistent, the linear dependency in the LHS coefficients perfectly mirrors the dependency in the RHS constants.

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 are surrounded by three massive, flat sheets—these are our planes, defined by the equations , , and .
The problem asks us to find the condition under which this system is consistent. This means these three planes, in their infinite expanse, must share at least one common point.

The Heartbeat of the System

The Determinant
Before we dive into the geometry, we need to check the 'heartbeat' of our system: the determinant of the coefficient matrix . We extract the coefficients of and to form the matrix:
We calculate the determinant by expanding along the first column, which is the most efficient path due to the zero in the second row. The calculation unfolds as:

The Moment of Truth

Infinite Solutions
When , the system is at a crossroads. It either has no solution (the planes never meet) or infinitely many solutions (the planes intersect along a common line).
Since the problem guarantees consistency, we know we are in the realm of infinite solutions. Geometrically, this means our three planes are not independent; they are locked in a dance where one is essentially a combination of the others.

The Secret Handshake

Linear Dependency
To find the condition on and , we must uncover the 'linear dependency'—the hidden relationship between the equations. We assume there exist constants and such that .
Let's break this down by coefficients:
For : .
For : . Substituting , we get , which simplifies to , or , meaning .

The Grand Finale

By setting , we find and . Our dependency is . We verify this with the -coefficients: .
It works perfectly! For the system to be consistent, this same dependency must apply to the constants and on the right-hand side:
And there it is! The elegance of linear algebra reveals that the relationship between the planes is mirrored in their constants. The final condition for consistency is .

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