Animated Solution for Mathematics - Vector Algebra: If the vectors a=i^−j^+2k^, b=2i^+4j^+k^ and c=λi^+j^+μk^ are mutually orthogonal, then (λ,μ)=
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Visualized Solution
The Three Vectors
We are given three vectors in 3D space:
a=i^−j^+2k^
b=2i^+4j^+k^
c=λi^+j^+μk^
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 90∘.
The Dot Product Condition
For any two perpendicular vectors, their dot product is zero.
a⋅b=0
b⋅c=0
c⋅a=0
Checking a and b
Let's quickly verify a⋅b:
(1)(2)+(−1)(4)+(2)(1)
2−4+2=0
The condition holds true!
Dot Product of b and c
Now, apply the condition to b and c:
b⋅c=0
(2)(λ)+(4)(1)+(1)(μ)=0
First Linear Equation
Simplifying the expression:
2λ+4+μ=0
2λ+μ=−4 --- (Equation 1)
Dot Product of a and c
Next, apply the condition to a and c:
a⋅c=0
(1)(λ)+(−1)(1)+(2)(μ)=0
Second Linear Equation
Simplifying the expression:
λ−1+2μ=0
λ+2μ=1 --- (Equation 2)
System of Linear Equations
We now have a system of two linear equations:
1) 2λ+μ=−4
2) λ+2μ=1
We need to solve for λ and μ.
Eliminating a Variable
Let's multiply Equation (2) by 2:
2(λ+2μ)=2(1)
2λ+4μ=2 --- (Equation 3)
Solving for μ
Subtract Equation (1) from Equation (3):
(2λ+4μ)−(2λ+μ)=2−(−4)
3μ=6
μ=2
Solving for λ
Substitute μ=2 back into Equation (2):
λ+2(2)=1
λ+4=1
λ=1−4=−3
Final Vector and Result
We found λ=−3 and μ=2.
The ordered pair is (λ,μ)=(−3,2).
The complete vector is c=−3i^+j^+2k^.
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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, a, b, and c, 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 x, y, and z 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 u and v, the dot product is defined as:
u⋅v=∣u∣∣v∣cos(θ)
If the angle θ is 90∘, then cos(90∘)=0, and the entire product vanishes. This is our master key. We are given:
a=i^−j^+2k^b=2i^+4j^+k^c=λi^+j^+μk^
Because they are mutually orthogonal, we know that a⋅b=0, b⋅c=0, and c⋅a=0.
Verifying the Foundation
Before we dive into the unknowns, let us verify the consistency of our given vectors a and b. It is a habit of elite problem solvers to check the ground they stand on.
Calculating the dot product:
a⋅b=(1)(2)+(−1)(4)+(2)(1)=2−4+2=0
The condition holds! The geometry is consistent, and we are ready to proceed.
The Algebraic Dance
We focus on the unknown vector c with variables λ and μ. To solve for two variables, we need two independent equations derived from the orthogonality conditions b⋅c=0 and a⋅c=0.
First, for b⋅c=0:
(2)(λ)+(4)(1)+(1)(μ)=0
2λ+4+μ=0⟹2λ+μ=−4(Equation 1)
Next, for a⋅c=0:
(1)(λ)+(−1)(1)+(2)(μ)=0
λ−1+2μ=0⟹λ+2μ=1(Equation 2)
Solving the System
We are left with a simple system of linear equations:
2λ+μ=−4
λ+2μ=1
To eliminate λ, multiply the second equation by 2:
2λ+4μ=2
Now, subtract the first equation from this new one:
(2λ+4μ)−(2λ+μ)=2−(−4)
3μ=6⟹μ=2
Substituting μ=2 back into λ+2μ=1:
λ+2(2)=1⟹λ+4=1⟹λ=−3
The Final Picture
We have found our values: λ=−3 and μ=2. The vector c is −3i^+j^+2k^.
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.