Sigma Percentile
JEE Advanced 1987
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: If the vectors , and () are coplanar, then the value of

Enter Numerical Value:

Visualized Solution

Visualizing Coplanar Vectors

  • We are given three vectors: , , and .
  • These vectors are coplanar, meaning they all lie in the exact same flat two-dimensional plane in three-dimensional space.
  • We are also given that .

The Scalar Triple Product Condition

  • For three vectors to be coplanar, the volume of the parallelepiped formed by them must be zero.
  • Condition:
  • In terms of determinants, the determinant of their components must equal zero.

Setting up the Determinant

  • Write the components of , , and as rows of a matrix.
  • The determinant is:

Applying Column Operations

  • To simplify the determinant, we can perform column operations.
  • Let's apply: and .
  • This will introduce zeros and help us factor out terms later.

The Transformed Determinant

  • Applying gives the first column: .
  • Applying gives the second column: .
  • The determinant becomes:

Factoring Out , , and

  • We want to find an expression involving , , and .
  • Let's factor out from the first row, from the second row, and from the third row.
  • Since , , and , these factors are non-zero.

The Factored Matrix Structure

  • Factoring from Row 1: .
  • Factoring from Row 2: .
  • Factoring from Row 3: .
  • Equation:

Expanding Along the First Row

  • Expand the determinant along the first row ():
  • This simplifies to:

Simplifying the Equation

  • Distributing the negative sign:
  • Rearranging the terms:

Transforming the Third Term

  • We need instead of .
  • Let's rewrite the numerator of the third term:

Finding the Final Value

  • Substitute back into our equation:
  • Rearranging to solve:
  • Key Takeaway: Coplanarity links vector geometry directly to determinant algebra.

The Sigma Insight: Scalar Triple Product

Analyzing the Setup

Imagine you are standing in a three-dimensional space. You have three vectors: , , and .
The problem states that these vectors are coplanar. This means that if you were to draw these vectors starting from the origin, they would all lie perfectly flat on a single, two-dimensional sheet.
In the language of linear algebra, this implies they are linearly dependent and cannot span a volume. The mathematical gatekeeper of volume in 3D space is the scalar triple product.
If the volume of the parallelepiped formed by these vectors is zero, the vectors are coplanar. Thus, our condition is simply:

The Determinant Strategy

We represent the scalar triple product as a determinant. We set the determinant of the components to zero:
To simplify this, we use column operations. We perform and . This transforms our matrix into a much more manageable form:

The Algebraic Alchemy

We now introduce the terms , , and by factoring. We factor from the first column, from the second, and from the third.
Since the problem guarantees $a, b, c eq 1$, we are safe from division by zero. After factoring, our determinant becomes:
Since the product of our factors is non-zero, the determinant itself must be zero. Expanding along the first row, we obtain:
This simplifies to the following expression:

The Final Flourish

We rewrite the term as , which is equivalent to .
Substituting this back into our equation, we get:
Moving the to the other side, we find the final result:
This journey from the geometric concept of coplanarity to the algebraic language of determinants demonstrates the essence of JEE Advanced mathematics: connecting disparate concepts to reveal a singular, elegant truth.

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