Animated Solution for Mathematics - Vector Algebra: The vectors a and b are not perpendicular and c and d are two vectors satisfying b×c=b×d and a⋅d=0. Then the vector d is equal to
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Visualized Solution
Problem Setup
We are given four vectors: a, b, c, and d.
Two key conditions are provided in the problem statement.
The Cross Product Equation
Given condition: b×c=b×d
Rearranging Terms
Subtract b×d from both sides:
b×c−b×d=0
Distributive Property of Cross Product
Apply the distributive property:
b×(c−d)=0
Collinearity Condition
If u×v=0, then u and v are parallel.
Therefore, (c−d) is parallel to b.
Expressing Parallel Vectors
Since (c−d)∥b:
c−d=λb
where λ is a scalar.
Isolating d
Rearrange to solve for d:
d=c−λb
The Dot Product Condition
We are given another condition:
a⋅d=0
This means a is perpendicular to d.
Substituting d
Substitute d=c−λb into the dot product equation:
a⋅(c−λb)=0
Expanding the Equation
Distribute a across the terms:
a⋅c−λ(a⋅b)=0
Finding the Scalar λ
Rearrange the terms:
a⋅c=λ(a⋅b)
Isolate λ:
λ=a⋅ba⋅c
Final Vector d
Substitute λ back into d=c−λb:
d=c−(a⋅ba⋅c)b
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The Sigma Insight: Vector (Cross) Product
Solution Diagram
Analyzing the Setup
Imagine you are standing in a three-dimensional coordinate system, watching vectors a, b, c, and d dance in space. This problem is defined by two powerful geometric clues: a cross product equality and a dot product orthogonality.
Our mission is to determine the identity of d based on these constraints.
The Cross Product Mystery
We begin with the condition b×c=b×d. Rather than attempting to cancel b, we must bring all terms to one side:
b×c−b×d=0
By applying the distributive property, we transform this into:
b×(c−d)=0
When the cross product of two vectors is the zero vector, it implies they are collinear. Thus, the vector (c−d) must be parallel to b.
Mathematically, we express this as c−d=λb, where λ is an unknown scalar. Rearranging this gives us our bridge to the solution:
d=c−λb
The Dot Product Constraint
Now, we introduce the second condition: a⋅d=0. This indicates that a is perpendicular to d.
We substitute our expression for d into this dot product:
a⋅(c−λb)=0
Using the distributive property of the dot product, we expand this to:
a⋅c−λ(a⋅b)=0
We isolate λ by rearranging the scalar terms:
a⋅c=λ(a⋅b)
λ=a⋅ba⋅c
Since the problem guarantees that a and b are not perpendicular, we know $\vec{a} \cdot \vec{b}
eq 0$, making this division valid.
Final Synthesis
We have found the missing piece of the puzzle. Substituting our value of λ back into our expression for d, we arrive at the final result:
d=c−(a⋅ba⋅c)b
This is the elegant result we were seeking. It demonstrates how vector conditions constrain the orientation and magnitude of vectors in space, turning abstract conditions into a concrete, logical conclusion.