Sigma Percentile
JEE Main 2018 (Paper 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If the system of linear equations has a non-zero solution , then is equal to :

Select Answer:

Visualized Solution

System of Homogeneous Equations

  • Given system: , ,
  • The system is homogeneous because all constant terms are zero.

Condition for Non-Trivial Solution

  • For a homogeneous system to have a non-zero (non-trivial) solution, the determinant of the coefficient matrix must be zero.

Constructing the Determinant

  • Extract coefficients of from the equations.

Expanding the Determinant

  • Expand along the first row:

Solving for

  • Simplify the equation:

Substituting Back

  • Substitute into the first two equations:
  • (1)
  • (2)

Expressing and in terms of

  • Subtract (1) from (2):
  • Substitute in (1):

Setting up the Target Expression

  • We need to find the value of .
  • Substitute and :

Final Calculation

  • Numerator:
  • Denominator:
  • Expression becomes:
  • The terms cancel out:

Conclusion

  • The value of is .
  • Key Takeaway: For a homogeneous system , a non-zero solution implies . This allows us to find unknown parameters like .

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

Solution Diagram

Analyzing the Setup

Welcome, fellow traveler on the path to JEE mastery. Today, we are going to unravel a problem that might look like a standard system of linear equations, but it hides a beautiful, symmetric secret.
When you see a system of equations where every constant term on the right-hand side is zero, like , , and , you are looking at a homogeneous system.
This is not just a collection of lines; it is a geometric structure where every plane passes through the origin .

Phase 1

The Determinant Key
In a homogeneous system, the origin is always a solution. But the problem whispers a secret: there is a non-zero solution. This is our golden ticket.
For a system of linear equations to have a non-trivial solution, the equations must be linearly dependent. Mathematically, this means the determinant of the coefficient matrix, which we denote as or , must be exactly zero.
If $D eq 0$, the only solution would be the trivial one, , which contradicts our premise. So, we set our sights on the determinant:

Phase 2

The Algebra of
Now, let's expand this determinant along the first row. I know, I know—determinant expansion can feel tedious, but stay with me. It is the bridge to our answer.
Expanding along the first row, we get:
Let's simplify this step-by-step. The first term becomes . The second term is , which simplifies to , or . The third term is , which is .
Putting it all together:
Grouping the terms: . Grouping the constants: . Thus, , which leads us to the elegant result: .

Phase 3

The Ratio Game
Now that we have , our system is fully defined. We have:
(1)
(2)
We need to find the value of . A common trap here is to try and solve for and as absolute values. But remember, we are dealing with a dependent system! We can only find the ratios.
Let's subtract equation (1) from equation (2):
Now, substitute back into equation (1):

The Final Victory

We have expressed and in terms of . Now, let's look at our target expression: . Substitute our findings:
Look at that! The terms cancel out, leaving us with .
The complexity vanishes, and we are left with the clean, crisp answer of . This is the beauty of linear algebra—when you understand the underlying structure, the path clears itself.

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