Animated Solution for Mathematics - Vector Algebra: Let a=2i^−j^+k^, b=i^+2j^−k^ and c=i^+j^−2k^ be three vectors. A vector in the plane of b and c, whose projection on a is of magnitude 2/3, is:
Select Answer:
* Multiple Correct
Visualized Solution
Defining the Vectors a,b,c
Given vectors:
a=2i^−j^+k^
b=i^+2j^−k^
c=i^+j^−2k^
Vector in the Plane of b and c
Let u be a vector in the plane of b and c.
Using coplanarity, we can write:
u=b+λc
Expressing u in Component Form
Substitute b and c:
u=(i^+2j^−k^)+λ(i^+j^−2k^)
Grouping the Components of u
Group the i^,j^,k^ components:
u=(1+λ)i^+(2+λ)j^+(−1−2λ)k^
The Projection Formula
The magnitude of the projection of u on a is 32.
Formula for projection magnitude:
Projection=∣a∣u⋅a=32
Calculating the Magnitude of a
a=2i^−j^+k^
∣a∣=22+(−1)2+12
∣a∣=4+1+1=6
Calculating the Dot Product u⋅a
u⋅a=(1+λ)(2)+(2+λ)(−1)+(−1−2λ)(1)
u⋅a=2+2λ−2−λ−1−2λ
u⋅a=−λ−1
Setting up the Projection Equation
Substitute into the projection formula:
6−λ−1=32
Simplifying the Equation
Multiply both sides by 6:
∣−λ−1∣=32×6
∣−λ−1∣=312=4=2
Solving for λ: Case 1
Remove absolute value: −λ−1=2 or −λ−1=−2
Case 1: −λ−1=2⇒λ=−3
Substitute λ=−3 into u:
u=(1−3)i^+(2−3)j^+(−1−2(−3))k^
u=−2i^−j^+5k^
Solving for λ: Case 2
Case 2: −λ−1=−2⇒λ=1
Substitute λ=1 into u:
u=(1+1)i^+(2+1)j^+(−1−2(1))k^
u=2i^+3j^−3k^
Final Answer
The two possible vectors are:
2i^+3j^−3k^
−2i^−j^+5k^
Both options A and C are correct.
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The Sigma Insight: Scalar (Dot) Product
Solution Diagram
Analyzing the Setup
Imagine you are standing in a vast, three-dimensional space. You have three vectors: a, b, and c.
Vector a is like a spear pointing into the distance, while b and c define a flat, infinite sheet—a plane. Our goal is to find a specific vector u that lies perfectly flat on this sheet, such that its shadow, or projection, onto our spear a has a specific length of 32.
The Linear Combination
Defining Our Vector
Since u must lie in the plane of b and c, it must be a linear combination of them. We can write this as u=b+λc.
λ is our degree of freedom. It allows us to slide along the plane, stretching and shrinking c to find the exact vector that satisfies our projection condition. Substituting the given components, we have:
u=(i^+2j^−k^)+λ(i^+j^−2k^)
By grouping the components, we obtain:
u=(1+λ)i^+(2+λ)j^+(−1−2λ)k^
This is our target vector, waiting for the right value of λ to reveal itself.
The Projection
The Shadow of the Vector
Now, we invoke the projection formula. The magnitude of the projection of u onto a is given by:
∣a∣u⋅a=32
First, let us find the magnitude of a=2i^−j^+k^. It is:
∣a∣=22+(−1)2+12=6
Next, the dot product u⋅a is calculated by multiplying corresponding components:
u⋅a=(1+λ)(2)+(2+λ)(−1)+(−1−2λ)(1)
Expanding this, we get 2+2λ−2−λ−1−2λ, which simplifies beautifully to −λ−1.
The Algebraic Climax
Solving for Lambda
We now have our equation:
6−λ−1=32
Multiplying both sides by 6, we get:
∣−λ−1∣=32×6=4=2
The absolute value tells us that −λ−1 can be either 2 or −2.
Case 1:−λ−1=2 leads to λ=−3. Substituting this back into our expression for u, we get:
u=−2i^−j^+5k^
Case 2:−λ−1=−2 leads to λ=1. Substituting this back, we get:
u=2i^+3j^−3k^
Both vectors are perfectly valid, existing in the plane and casting the exact shadow required. You have successfully navigated the geometry and the algebra.