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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 $\mathbf{i}+\mathbf{j}$.

   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 $\mathbf{i}+\mathbf{j}$.
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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 43 โ†“

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We have: $$ \mathbf{u} = 2\mathbf{i} - 3\mathbf{j} + \mathbf{k} $$ and we are also given another vector: $$ \mathbf{a} = \mathbf{i} + \mathbf{j} $$ We need to find a vector that is orthogonal to both $\mathbf{u}$ and $\mathbf{a}$.  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 $\mathbf{i}+\mathbf{j}$.
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Key Concepts

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Orthogonality
Orthogonality refers to the relationship between two vectors that are perpendicular to each other. In mathematical terms, two vectors are orthogonal if their dot product equals zero. This concept is fundamental in linear algebra and vector calculus, as it is used to determine independence and perpendicularity in various coordinate systems.
Dot Product
The dot product is an operation that takes two vectors and produces a scalar. It is calculated by multiplying corresponding components of two vectors and then summing these products. The dot product is particularly useful for determining whether two vectors are orthogonal, as a result of the principle that the dot product of orthogonal vectors is zero.
Cross Product
The cross product is a vector operation applied to two vectors in three-dimensional space, resulting in a third vector that is orthogonal to both. It is computed using determinants of a matrix formed by the standard unit vectors and the components of the original vectors. This operation is immensely valuable in physics and engineering for determining normal vectors to surfaces and finding directions perpendicular to given planes.

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