Chapter 10: Problem 36
Find a unit vector orthogonal to both \(\vec{u}\) and \(\vec{v} .\) \(\vec{u}=\langle 1,-2,1\rangle, \quad \vec{v}=\langle 3,2,1\rangle\)
Short Answer
Expert verified
The unit vector orthogonal to both is \( \left\langle \frac{-2}{\sqrt{21}}, \frac{1}{\sqrt{21}}, \frac{4}{\sqrt{21}} \right\rangle \).
Step by step solution
01
Understand Orthogonal Vectors
Two vectors are orthogonal if their dot product is zero. To find a vector orthogonal to both given vectors, we will use the cross product.
02
Calculate the Cross Product
The cross product of vectors \( \vec{u} = \langle 1, -2, 1 \rangle \) and \( \vec{v} = \langle 3, 2, 1 \rangle \) is calculated using the determinant of a matrix:\[ \vec{u} \times \vec{v} = \begin{vmatrix} \vec{i} & \vec{j} & \vec{k} \ 1 & -2 & 1 \ 3 & 2 & 1 \end{vmatrix} = \vec{i}(( -2) \cdot 1 - 1 \cdot 2) - \vec{j}(1 \cdot 1 - 1 \cdot 3) + \vec{k}(1 \cdot 2 - (-2) \cdot 3) \]Simplifying each component:\[ = \vec{i}(-2 - 2) - \vec{j}(1 - 3) + \vec{k}(2 + 6) \]\[ = \vec{i}(-4) + \vec{j}(2) + \vec{k}(8) \]The cross product is \( \vec{w} = \langle -4, 2, 8 \rangle \).
03
Find the Magnitude of the Cross Product
The magnitude of \( \vec{w} = \langle -4, 2, 8 \rangle \) is calculated using the formula:\[ |\vec{w}| = \sqrt{(-4)^2 + 2^2 + 8^2} \]\[ = \sqrt{16 + 4 + 64} \]\[ = \sqrt{84} \]\[ = 2\sqrt{21} \]
04
Calculate the Unit Vector
A unit vector \( \vec{u} \) is found by dividing \( \vec{w} \) by its magnitude:\[ \vec{u}_{unit} = \frac{1}{|\vec{w}|} \times \langle -4, 2, 8 \rangle \]\[ = \frac{1}{2\sqrt{21}} \times \langle -4, 2, 8 \rangle \]\[ = \left\langle \frac{-4}{2\sqrt{21}}, \frac{2}{2\sqrt{21}}, \frac{8}{2\sqrt{21}} \right\rangle \]The unit vector is:\[ \left\langle \frac{-2}{\sqrt{21}}, \frac{1}{\sqrt{21}}, \frac{4}{\sqrt{21}} \right\rangle \]
05
Simplify the Unit Vector (if necessary)
The unit vector is already in its simplest form using the factors of \( \sqrt{21} \). We can also write each component in terms of decimal approximation for clarity, but the fractions provide an exact solution.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Unit Vector
A **unit vector** is a vector that has a magnitude of exactly one. It is often used to indicate direction rather than magnitude and is denoted by the vector symbol with a hat, such as \( \hat{u} \). To create a unit vector from any vector, we divide each component of the vector by the vector's magnitude.
- For example, if you have a vector \( \vec{a} = \langle a_1, a_2, a_3 \rangle \), the unit vector \( \hat{a} \) would be computed as \( \hat{a} = \frac{1}{|\vec{a}|} \times \langle a_1, a_2, a_3 \rangle \).
- This transformation ensures that the resulting unit vector maintains the same direction as the original vector, but with a length of 1.
- Unit vectors are particularly useful in physics and engineering to describe a direction vector independent of its magnitude.
Cross Product
The **cross product** is a binary operation on two vectors in three-dimensional space. Unlike the dot product, the result of a cross product is a vector rather than a scalar. The cross product vector is orthogonal (perpendicular) to both of the original vectors.
- For vectors \( \vec{u} = \langle u_1, u_2, u_3 \rangle \) and \( \vec{v} = \langle v_1, v_2, v_3 \rangle \), the cross product is given by:
\[ \vec{u} \times \vec{v} = \begin{vmatrix} \vec{i} & \vec{j} & \vec{k} \ u_1 & u_2 & u_3 \ v_1 & v_2 & v_3 \end{vmatrix} \] - The result is: \( (u_2v_3 - u_3v_2)\vec{i} - (u_1v_3 - u_3v_1)\vec{j} + (u_1v_2 - u_2v_1)\vec{k} \), which is a new vector perpendicular to the original pair.
- One important use of the cross product is to find a normal vector to a plane defined by the two vectors.
Magnitude of a Vector
The **magnitude of a vector** represents the length or size of the vector, which is akin to the distance from the origin point to the vector's tip in Euclidean space. It is always a non-negative number.
- For a vector \( \vec{v} = \langle v_1, v_2, v_3 \rangle \), the magnitude \( |\vec{v}| \) is calculated by the formula:
\[ |\vec{v}| = \sqrt{v_1^2 + v_2^2 + v_3^2} \] - This formula is derived from the Pythagorean theorem and measures the vector's length in the three-dimensional space.
- Understanding the magnitude is crucial because it provides insight into how large the vector is relative to other vectors.