14 – x2 – y2 Find the gradient of f(x, y) Find the gradient at point P(1, 4).

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter3: The Derivative
Section3.5: Graphical Differentiation
Problem 2E
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**Problem Statement:**

1. **Find the gradient of \( f(x, y) = \frac{14 - x^2 - y^2}{9} \).**
    ![Placeholder for answer]

2. **Find the gradient at point \( P(1, 4) \).**
    ![Placeholder for answer]

**Explanation:**

- The gradient of a function \( f(x, y) \) is a vector containing the partial derivatives with respect to \( x \) and \( y \), respectively.
- **Gradient Formula:**

    For a function \( f(x, y) \):
    \[
    \nabla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right)
    \]
- **Steps to Solve:**

    1. Calculate the partial derivative of \( f \) with respect to \( x \).
    2. Calculate the partial derivative of \( f \) with respect to \( y \).
    3. Evaluate the gradient at the given point \( P(1, 4) \).

- **Partial Derivatives Calculation:**

    For \( f(x, y) = \frac{14 - x^2 - y^2}{9} \), let's compute:

    1. \[
       \frac{\partial f}{\partial x} = \frac{\partial}{\partial x} \left(\frac{14 - x^2 - y^2}{9}\right)
       \]
    2. \[
       \frac{\partial f}{\partial y} = \frac{\partial}{\partial y} \left(\frac{14 - x^2 - y^2}{9}\right)
       \]
- **Evaluating at Point \( P(1, 4) \):**

    Once the partial derivatives are found, substitute \( x = 1 \) and \( y = 4 \) into the gradient components to find the value at \( P(1, 4) \).

**Note:** Graphs or diagrams are not provided in this image. The solution involves vector calculus concepts and manual computation of derivatives.
Transcribed Image Text:**Problem Statement:** 1. **Find the gradient of \( f(x, y) = \frac{14 - x^2 - y^2}{9} \).** ![Placeholder for answer] 2. **Find the gradient at point \( P(1, 4) \).** ![Placeholder for answer] **Explanation:** - The gradient of a function \( f(x, y) \) is a vector containing the partial derivatives with respect to \( x \) and \( y \), respectively. - **Gradient Formula:** For a function \( f(x, y) \): \[ \nabla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right) \] - **Steps to Solve:** 1. Calculate the partial derivative of \( f \) with respect to \( x \). 2. Calculate the partial derivative of \( f \) with respect to \( y \). 3. Evaluate the gradient at the given point \( P(1, 4) \). - **Partial Derivatives Calculation:** For \( f(x, y) = \frac{14 - x^2 - y^2}{9} \), let's compute: 1. \[ \frac{\partial f}{\partial x} = \frac{\partial}{\partial x} \left(\frac{14 - x^2 - y^2}{9}\right) \] 2. \[ \frac{\partial f}{\partial y} = \frac{\partial}{\partial y} \left(\frac{14 - x^2 - y^2}{9}\right) \] - **Evaluating at Point \( P(1, 4) \):** Once the partial derivatives are found, substitute \( x = 1 \) and \( y = 4 \) into the gradient components to find the value at \( P(1, 4) \). **Note:** Graphs or diagrams are not provided in this image. The solution involves vector calculus concepts and manual computation of derivatives.
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