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In Problems 23-44, use the given vectors $\mathbf{u}, \mathbf{v}$, and $\mathbf{w}$ to find each expression. $$ \mathbf{u}=2 \mathbf{i}-3 \mathbf{j}+\mathbf{k} \quad \mathbf{v}=-3 \mathbf{i}+3 \mathbf{j}+2 \mathbf{k} \quad \mathbf{w}=\mathbf{i}+\mathbf{j}+3 \mathbf{k} $$ Find a vector orthogonal to both $\mathbf{u}$ and $\mathbf{w}$.

   In Problems 23-44, use the given vectors $\mathbf{u}, \mathbf{v}$, and $\mathbf{w}$ to find each expression.
$$
\mathbf{u}=2 \mathbf{i}-3 \mathbf{j}+\mathbf{k} \quad \mathbf{v}=-3 \mathbf{i}+3 \mathbf{j}+2 \mathbf{k} \quad \mathbf{w}=\mathbf{i}+\mathbf{j}+3 \mathbf{k}
$$
Find a vector orthogonal to both $\mathbf{u}$ and $\mathbf{w}$.
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Precalculus: Concepts Through Functions, A Unit Circle Approach to Trigonometry
Precalculus: Concepts Through Functions, A Unit Circle Approach to Trigonometry
Michael Sullivan 4th Edition
Chapter 8, Problem 42 ↓

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Given vectors are $\mathbf{u} = 2\mathbf{i} - 3\mathbf{j} + \mathbf{k}$ and $\mathbf{w} = \mathbf{i} + \mathbf{j} + 3\mathbf{k}$.  Show more…

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In Problems 23-44, use the given vectors $\mathbf{u}, \mathbf{v}$, and $\mathbf{w}$ to find each expression. $$ \mathbf{u}=2 \mathbf{i}-3 \mathbf{j}+\mathbf{k} \quad \mathbf{v}=-3 \mathbf{i}+3 \mathbf{j}+2 \mathbf{k} \quad \mathbf{w}=\mathbf{i}+\mathbf{j}+3 \mathbf{k} $$ Find a vector orthogonal to both $\mathbf{u}$ and $\mathbf{w}$.
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Key Concepts

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Determinant Method for Cross Product
One common approach to computing the cross product involves the use of a determinant with the standard unit vectors i, j, and k in the first row, followed by the components of the two given vectors. This method provides a systematic way to compute the components of the resulting vector.
Vector Cross Product
The cross product is an operation on two vectors in three-dimensional space that results in a new vector which is orthogonal (perpendicular) to the plane containing the original vectors. Its magnitude is equal to the area of the parallelogram formed by the original vectors, and its direction is determined by the right-hand rule.
Orthogonality
Orthogonality refers to the condition where two vectors are at right angles to each other. In the context of vector operations, finding a vector that is orthogonal to two given vectors involves methods like the cross product, ensuring that the dot products between the resulting vector and each original vector are zero.

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