Sigma Percentile
JEE Main 2010
LEVELJEE Main

Animated Solution for Mathematics - Vector Algebra: If the vectors , and are mutually orthogonal, then

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Visualized Solution

The Three Vectors

  • We are given three vectors in 3D space:

Mutual Orthogonality

  • The vectors are mutually orthogonal.
  • This means every pair of vectors is perpendicular to each other.
  • The angle between any two vectors is .

The Dot Product Condition

  • For any two perpendicular vectors, their dot product is zero.

Checking and

  • Let's quickly verify :
  • The condition holds true!

Dot Product of and

  • Now, apply the condition to and :

First Linear Equation

  • Simplifying the expression:
  • --- (Equation 1)

Dot Product of and

  • Next, apply the condition to and :

Second Linear Equation

  • Simplifying the expression:
  • --- (Equation 2)

System of Linear Equations

  • We now have a system of two linear equations:
  • 1)
  • 2)
  • We need to solve for and .

Eliminating a Variable

  • Let's multiply Equation (2) by :
  • --- (Equation 3)

Solving for

  • Subtract Equation (1) from Equation (3):

Solving for

  • Substitute back into Equation (2):

Final Vector and Result

  • We found and .
  • The ordered pair is .
  • The complete vector is .

The Sigma Insight: Scalar (Dot) Product

Solution Diagram

Analyzing the Setup

Imagine you are standing in the center of a vast, empty room. You have three vectors, , , and , floating in front of you. They are locked in a rigid, beautiful dance; the problem states they are mutually orthogonal.
In the language of physics, this means they form a perfect, right-angled corner, much like the , , and axes of a standard coordinate system. When vectors are mutually orthogonal, they are independent and define the very space they inhabit.

The Dot Product

Your Mathematical Scalpel
To translate this geometric perfection into algebra, we use the dot product. For any two vectors and , the dot product is defined as:
If the angle is , then , and the entire product vanishes. This is our master key. We are given:
Because they are mutually orthogonal, we know that , , and .

Verifying the Foundation

Before we dive into the unknowns, let us verify the consistency of our given vectors and . It is a habit of elite problem solvers to check the ground they stand on.
Calculating the dot product:
The condition holds! The geometry is consistent, and we are ready to proceed.

The Algebraic Dance

We focus on the unknown vector with variables and . To solve for two variables, we need two independent equations derived from the orthogonality conditions and .
First, for :
Next, for :

Solving the System

We are left with a simple system of linear equations:
To eliminate , multiply the second equation by :
Now, subtract the first equation from this new one:
Substituting back into :

The Final Picture

We have found our values: and . The vector is .
We took an abstract geometric condition—mutual orthogonality—and used the dot product to slice through the complexity, turning it into a simple algebraic system. This is the essence of physics: translating the physical world into the language of mathematics, solving it, and translating it back.

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