Sigma Percentile
JEE Main 2020 (7 January Shift 1)
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: If the system of linear equations , where are non-zero and distinct; has non-zero solution, then

Select Answer:

Visualized Solution

Homogeneous System

  • The given equations have constants equal to zero on the right side.
  • This forms a homogeneous system of linear equations.
  • System: , , .

Condition for Non-Zero Solution

  • A homogeneous system has a non-trivial (non-zero) solution if the determinant of its coefficient matrix is zero.

Constructing the Determinant

  • Extract the coefficients of , , and .

Applying Row Operations

  • To simplify expansion, we create zeros in the first column.
  • Apply operations: and .

Transformed Determinant

  • The new determinant becomes much simpler to evaluate.

Expanding the Determinant

  • Expand along the first column () since it has two zeros.

Algebraic Expansion

  • Multiply the terms inside the brackets carefully.

Simplifying the Expression

  • Combine like terms and cancel out .
  • Rearranging gives:

Dividing by

  • Divide the entire equation by the product .

Final Conclusion

  • The condition is the standard form for an Arithmetic Progression.
  • Therefore, are in A.P.

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

Solution Diagram

Analyzing the Setup

Welcome, future engineer! Today, we are going to peel back the layers of a beautiful problem in linear algebra.
At first glance, you see a system of three linear equations: , , and .
It looks like a standard system, but notice the right-hand side—it is all zeros. This is a homogeneous system.
In the world of JEE, this is a massive hint. A homogeneous system always admits the trivial solution, .
But the problem demands a non-zero solution. This is the key that unlocks the door.
It tells us that the equations are not independent; they are locked in a geometric dance where they essentially describe the same space. Mathematically, this means the determinant of the coefficient matrix must be zero:

The Art of Simplification

Now, I know the temptation is to jump straight into expanding this determinant. But hold on! If you expand this directly, you are inviting a storm of algebra that will likely lead to a sign error.
We are smarter than that. Let us use the power of row operations to create some breathing room.
By performing and , we transform our determinant into something much cleaner:
Look at that! The first column is now dominated by zeros. This makes the expansion along the first column a trivial task. We are left with:

The Algebraic Dance

Now, we enter the phase of careful, patient expansion. Do not rush this. Multiply the terms inside the brackets:
Notice the beauty of mathematics here? The terms cancel out perfectly. It is as if the universe is rewarding your patience.
After combining the remaining terms, we are left with:
Rearranging this, we get the elegant relation:

The Final Revelation

We are almost there. We have the relation , but it doesn't quite look like the standard form yet. This is where we use the final trick in our toolkit.
We divide the entire equation by the product :
The terms cancel out with satisfying precision, leaving us with:
This, my friend, is the classic condition for an Arithmetic Progression. If , then by definition, are in A.P.
You have successfully navigated the trap, simplified the complexity, and arrived at the truth. Keep this mindset—look for the structure, simplify before you calculate, and trust the process. You are doing great!

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