Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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![## Finding a Directional Derivative
In Exercises 57 and 58, use Theorem 13.9 to find the directional derivative of the function at \( P \) in the direction of \( \mathbf{v} \).
### Exercise 57
Given:
- Function \( f(x, y) = x^2 y \)
- Point \( P(-5, 5) \)
- Direction vector \( \mathbf{v} = 3i - 4j \)
### Exercise 58
Given:
- Function \( f(x, y) = \frac{1}{4}y^2 - x^2 \)
- Point \( P(1, 4) \)
- Direction vector \( \mathbf{v} = 2i + j \)
#### Explanation of Theorem 13.9
Theorem 13.9 typically involves using the gradient of the function \( \nabla f \) and the given direction vector \( \mathbf{v} \) to find the directional derivative. The directional derivative \( D_{\mathbf{v}} f \) at a point \( P \) is given by:
\[ D_{\mathbf{v}} f = \nabla f \cdot \mathbf{u} \]
where \( \mathbf{u} \) is the unit vector in the direction of \( \mathbf{v} \) (i.e., \( \mathbf{u} = \frac{\mathbf{v}}{|\mathbf{v}|} \)) and \( \cdot \) represents the dot product.
#### Steps to Solve:
1. **Compute the Gradient \( \nabla f \)**: Find the partial derivatives of \( f(x, y) \) with respect to \( x \) and \( y \).
2. **Evaluate the Gradient at Point \( P \)**: Substitute the coordinates of \( P \) into \( \nabla f \) to obtain \( \nabla f(P) \).
3. **Normalize the Direction Vector \( \mathbf{v} \)**: Find the unit vector \( \mathbf{u} = \frac{\mathbf{v}}{|\mathbf{v}|} \).
4. **Compute the Dot Product**: Find the dot product of \( \nabla f(P) \) and \( \mathbf{u} \).
By following these steps, the directional derivatives for Exercises 57 and 58 can be calculated](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F89582d90-02f3-4eb0-8a49-695156c3db48%2Fbfb25181-80e8-4b96-9fb9-acdc36101d39%2Fp6ippem.png&w=3840&q=75)
Transcribed Image Text:## Finding a Directional Derivative
In Exercises 57 and 58, use Theorem 13.9 to find the directional derivative of the function at \( P \) in the direction of \( \mathbf{v} \).
### Exercise 57
Given:
- Function \( f(x, y) = x^2 y \)
- Point \( P(-5, 5) \)
- Direction vector \( \mathbf{v} = 3i - 4j \)
### Exercise 58
Given:
- Function \( f(x, y) = \frac{1}{4}y^2 - x^2 \)
- Point \( P(1, 4) \)
- Direction vector \( \mathbf{v} = 2i + j \)
#### Explanation of Theorem 13.9
Theorem 13.9 typically involves using the gradient of the function \( \nabla f \) and the given direction vector \( \mathbf{v} \) to find the directional derivative. The directional derivative \( D_{\mathbf{v}} f \) at a point \( P \) is given by:
\[ D_{\mathbf{v}} f = \nabla f \cdot \mathbf{u} \]
where \( \mathbf{u} \) is the unit vector in the direction of \( \mathbf{v} \) (i.e., \( \mathbf{u} = \frac{\mathbf{v}}{|\mathbf{v}|} \)) and \( \cdot \) represents the dot product.
#### Steps to Solve:
1. **Compute the Gradient \( \nabla f \)**: Find the partial derivatives of \( f(x, y) \) with respect to \( x \) and \( y \).
2. **Evaluate the Gradient at Point \( P \)**: Substitute the coordinates of \( P \) into \( \nabla f \) to obtain \( \nabla f(P) \).
3. **Normalize the Direction Vector \( \mathbf{v} \)**: Find the unit vector \( \mathbf{u} = \frac{\mathbf{v}}{|\mathbf{v}|} \).
4. **Compute the Dot Product**: Find the dot product of \( \nabla f(P) \) and \( \mathbf{u} \).
By following these steps, the directional derivatives for Exercises 57 and 58 can be calculated
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