Answer on Question #67156 – Math – Linear Algebra
Question
Under what condition A.B is not equal to zero and A × B A \times B A × B is equal to zero when A and B are two non-zero vectors?
Solution
A. B is not equal to zero and A × B A \times B A × B is equal to zero when vectors A and B are collinear.
Let's show it.
Let B \mathbf{B} B be λ A \lambda \mathbf{A} λ A , that is,
B = ( B x , B y , B z ) = ( λ A x , λ A y , λ A z ) , \mathbf {B} = \left(B _ {x}, B _ {y}, B _ {z}\right) = \left(\lambda A _ {x}, \lambda A _ {y}, \lambda A _ {z}\right), B = ( B x , B y , B z ) = ( λ A x , λ A y , λ A z ) ,
then
A ⋅ B = A x B x + A y B y + A z B z = λ ( A x A x + A y A y + A z A z ) = λ ( A x 2 + A y 2 + A z 2 ) . \mathbf {A} \cdot \mathbf {B} = A _ {x} B _ {x} + A _ {y} B _ {y} + A _ {z} B _ {z} = \lambda \left(A _ {x} A _ {x} + A _ {y} A _ {y} + A _ {z} A _ {z}\right) = \lambda \left(A _ {x} ^ {2} + A _ {y} ^ {2} + A _ {z} ^ {2}\right). A ⋅ B = A x B x + A y B y + A z B z = λ ( A x A x + A y A y + A z A z ) = λ ( A x 2 + A y 2 + A z 2 ) .
If A \mathbf{A} A is a non-zero vector, then A ⋅ B = λ ( A x 2 + A y 2 + A z 2 ) > 0 \mathbf{A} \cdot \mathbf{B} = \lambda \left(A_x^2 + A_y^2 + A_z^2\right) > 0 A ⋅ B = λ ( A x 2 + A y 2 + A z 2 ) > 0 .
Next, we find A × B \mathbf{A} \times \mathbf{B} A × B :
A × B = ∣ i j k A x A y A z B x B y B z ∣ = ∣ i j k A x A y A z λ A x λ A y λ A z ∣ = i ∣ A y A z λ A y λ A z ∣ − j ∣ A x A z λ A x λ A z ∣ + k ∣ A x A y λ A x λ A y ∣ = = i ( λ A y A z − λ A y A z ) − j ( λ A x A z − λ A x A z ) + k ( λ A x A y − λ A x A y ) = 0 \begin{array}{l}
\mathbf {A} \times \mathbf {B} = \left| \begin{array}{c c c} \mathbf {i} & \mathbf {j} & \mathbf {k} \\ A _ {x} & A _ {y} & A _ {z} \\ B _ {x} & B _ {y} & B _ {z} \end{array} \right| = \left| \begin{array}{c c c} \mathbf {i} & \mathbf {j} & \mathbf {k} \\ A _ {x} & A _ {y} & A _ {z} \\ \lambda A _ {x} & \lambda A _ {y} & \lambda A _ {z} \end{array} \right| \\
= \mathbf {i} \left| \begin{array}{l l} A _ {y} & A _ {z} \\ \lambda A _ {y} & \lambda A _ {z} \end{array} \right| - \mathbf {j} \left| \begin{array}{l l} A _ {x} & A _ {z} \\ \lambda A _ {x} & \lambda A _ {z} \end{array} \right| + \mathbf {k} \left| \begin{array}{l l} A _ {x} & A _ {y} \\ \lambda A _ {x} & \lambda A _ {y} \end{array} \right| = \\
= \mathbf {i} \left(\lambda A _ {y} A _ {z} - \lambda A _ {y} A _ {z}\right) - \mathbf {j} \left(\lambda A _ {x} A _ {z} - \lambda A _ {x} A _ {z}\right) + \mathbf {k} \left(\lambda A _ {x} A _ {y} - \lambda A _ {x} A _ {y}\right) = 0 \\
\end{array} A × B = ∣ ∣ i A x B x j A y B y k A z B z ∣ ∣ = ∣ ∣ i A x λ A x j A y λ A y k A z λ A z ∣ ∣ = i ∣ ∣ A y λ A y A z λ A z ∣ ∣ − j ∣ ∣ A x λ A x A z λ A z ∣ ∣ + k ∣ ∣ A x λ A x A y λ A y ∣ ∣ = = i ( λ A y A z − λ A y A z ) − j ( λ A x A z − λ A x A z ) + k ( λ A x A y − λ A x A y ) = 0
Answer: if vectors A \mathbf{A} A and B \mathbf{B} B are collinear, non-zero vectors, then A ⋅ B ≠ 0 \mathbf{A} \cdot \mathbf{B} \neq 0 A ⋅ B = 0 and A × B = 0 \mathbf{A} \times \mathbf{B} = 0 A × B = 0 .
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