Sigma Percentile
JEE Main 2009
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: If are non-coplanar vectors and are real numbers, then the equality holds for :

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Visualized Solution

Visualizing Non-Coplanar Vectors

  • Given vectors are non-coplanar.
  • This implies they form a parallelepiped with non-zero volume.
  • Mathematically: .

Properties of Scalar Triple Product

  • Linearity: where are scalars.
  • Cyclic Symmetry: .
  • Anti-Symmetry: (due to one swap).

Expanding the First Term

  • First term:
  • Pull out scalars:
  • Simplified:

Expanding the Second Term

  • Second term:
  • Pull out scalars:
  • Using cyclic property:
  • Simplified:

Expanding the Third Term

  • Third term:
  • Pull out scalars:
  • Using anti-cyclic property:
  • Simplified:

Combining the Terms

  • Substitute terms into the equation:
  • Factor out :

The Non-Coplanar Condition

  • We have .
  • Since are non-coplanar, .
  • Therefore, the scalar coefficient must be zero:

Analyzing the Quadratic Equation

  • To solve , complete the square:
  • Since are real, each squared term is .

Final Conclusion

  • For the sum to be zero, each term must be zero:
  • 1)
  • 2)
  • 3) (Consistent)
  • The only solution is .
  • Correct Option: exactly one value of

The Sigma Insight: Scalar Triple Product

Solution Diagram

Analyzing the Setup

Imagine you are standing in a three-dimensional room. You have three vectors, , , and , originating from the corner of the floor.
If they were coplanar, they would lie flat on the floor, and the volume they enclose would be zero. However, the problem specifies that they are non-coplanar.
This means they reach out into the third dimension, forming a parallelepiped with a definite, non-zero volume. In the language of JEE Advanced, this is our anchor: the scalar triple product $[\vec{u} \ \vec{v} \ \vec{w}] eq 0$. This is the key that will unlock the entire problem.

The Algebra of Symmetry

Before we touch the equation, let us sharpen our tools. The scalar triple product is not just a random collection of symbols; it is a highly structured operator.
We have three main properties: 1. Linearity, which allows us to pull scalar coefficients out of the box. 2. Cyclic Symmetry, which allows us to rotate the vectors without changing the value. 3. Anti-Symmetry, which forces a sign change if we swap two vectors.
Think of these as the laws of physics for our vector space.

Expanding the Terms

Let us break down the equation term by term. The first term is .
Using linearity, we extract the scalars , , and . This gives us:
Now, consider the second term: . We pull out and to obtain .
By applying cyclic symmetry, we know this is identical to . So, we get:
Finally, the third term is . We extract , , and , leaving us with .
Here is the trap: the order is . This is one swap away from , so we must introduce a negative sign:

The Quadratic Revelation

Now, we combine these into our master equation:
Factoring out the common box product, we arrive at:
Since we established that the box product is non-zero, we are left with the scalar equation:

Final Calculation

We can factor the quadratic expression as follows:
This implies that either or .
If the problem implies that and are real constants, there are infinitely many pairs satisfying this relationship. However, if the context requires a specific constraint or unique solution, one must verify the coefficients provided in the original prompt.
Based on the derived quadratic, the relationship between the variables is defined by the set of points lying on the lines and .

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