Chapter 2: Problem 78
Let \(\hat{\mathbf{r}}\) be a unit vector satisfying \(\hat{\mathbf{r}} \times \mathbf{a}=\mathbf{b}\), where \(|\mathbf{a}|=\sqrt{3}\) and \(|\mathbf{b}|=\sqrt{2}\). Then, (a) \(\hat{\mathbf{r}}=\frac{2}{3}(\mathbf{a}+\mathbf{a} \times \mathbf{b})\) (b) \(\hat{r}=\frac{1}{3}(a+a \times b)\) (c) \(\hat{r}=\frac{2}{3}(a-a \times b)\) (d) \(\hat{r}=\frac{1}{3}(-a+a \times b)\)
Short Answer
Step by step solution
Understand the Cross Product Formula
Use Magnitudes and Cross Product Properties
Calculate the Sine Component
Determine the Relationship for \(\hat{\mathbf{r}}\)
Check Consistency with the Unit Magnitude
Validate Options Considering Orthogonality
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Cross Product
- The direction of the cross product is determined by the right-hand rule.
- The magnitude of the cross product is equal to the product of the magnitudes of the vectors and the sine of the angle between them.
- In this problem, \( \hat{\mathbf{r}} \times \mathbf{a} = \mathbf{b} \), meaning \( \mathbf{b} \) is perpendicular to both \( \hat{\mathbf{r}} \) and \( \mathbf{a} \).
Unit Vector
- The magnitude of a unit vector is always 1.
- They are usually defined by dividing a vector by its magnitude.
- In this context, \( \hat{\mathbf{r}} \) satisfies the condition \( \hat{\mathbf{r}} \times \mathbf{a} = \mathbf{b} \).
- We ensure our solution yields a unit vector by keeping its magnitude equal to 1.
Vector Magnitudes
- For a vector \( \mathbf{a} \), its magnitude is denoted \( |\mathbf{a}| \).
- In the exercise, \( |\mathbf{a}| = \sqrt{3} \) and \( |\mathbf{b}| = \sqrt{2} \).
- Calculations often involve substituting these magnitudes into formulas to solve for other unknowns such as the sine of the angle between two vectors, as shown by \( \sin(\theta) = \frac{|\mathbf{b}|}{|\mathbf{a}|} \).
Orthogonality
- Two vectors are orthogonal if their dot product is zero.
- In the context of the cross product, orthogonality helps define the relationship \( \mathbf{a} \cdot (\mathbf{a} \times \mathbf{b}) = 0 \).
- The cross product itself ensures orthogonality as its result is always perpendicular to both input vectors.