Math Problem Statement

Consider the following function. f(x, y) = 8y sin(xy) Find the partial derivatives. fx(x, y)

fy(x, y)

Find the gradient vector field ∇f of f. ∇f(x, y) =

Solution

To find the partial derivatives of the function f(x,y)=8ysin(xy)f(x, y) = 8y \sin(xy) with respect to xx and yy, we proceed as follows:

Partial Derivative with respect to xx, fx(x,y)f_x(x, y)

Using the product rule and chain rule: fx(x,y)=x(8ysin(xy))f_x(x, y) = \frac{\partial}{\partial x} \left( 8y \sin(xy) \right) Since 8y8y is a constant with respect to xx, we only differentiate sin(xy)\sin(xy) with respect to xx, treating yy as a constant: fx(x,y)=8ycos(xy)y=8y2cos(xy)f_x(x, y) = 8y \cdot \cos(xy) \cdot y = 8y^2 \cos(xy) So, fx(x,y)=8y2cos(xy)f_x(x, y) = 8y^2 \cos(xy)

Partial Derivative with respect to yy, fy(x,y)f_y(x, y)

Now, differentiating f(x,y)=8ysin(xy)f(x, y) = 8y \sin(xy) with respect to yy: fy(x,y)=y(8ysin(xy))f_y(x, y) = \frac{\partial}{\partial y} \left( 8y \sin(xy) \right) Using the product rule: fy(x,y)=8sin(xy)+8ycos(xy)xf_y(x, y) = 8 \sin(xy) + 8y \cdot \cos(xy) \cdot x Simplifying, fy(x,y)=8sin(xy)+8xycos(xy)f_y(x, y) = 8 \sin(xy) + 8xy \cos(xy)

Gradient Vector Field f\nabla f

The gradient vector field f\nabla f of ff is given by: f(x,y)=(fx(x,y),fy(x,y))\nabla f(x, y) = \left( f_x(x, y), f_y(x, y) \right) Substituting the partial derivatives we found: f(x,y)=(8y2cos(xy),8sin(xy)+8xycos(xy))\nabla f(x, y) = \left( 8y^2 \cos(xy), \, 8 \sin(xy) + 8xy \cos(xy) \right)

Summary

fx(x,y)=8y2cos(xy)f_x(x, y) = 8y^2 \cos(xy) fy(x,y)=8sin(xy)+8xycos(xy)f_y(x, y) = 8 \sin(xy) + 8xy \cos(xy) f(x,y)=(8y2cos(xy),8sin(xy)+8xycos(xy))\nabla f(x, y) = \left( 8y^2 \cos(xy), \, 8 \sin(xy) + 8xy \cos(xy) \right)

Would you like further details or have any questions?

Here are 5 related questions:

  1. How would we find higher-order partial derivatives of f(x,y)f(x, y)?
  2. What is the interpretation of the gradient vector field in a physical context?
  3. How would we find the directional derivative of f(x,y)f(x, y) at a point?
  4. What does setting fx(x,y)=0f_x(x, y) = 0 and fy(x,y)=0f_y(x, y) = 0 imply about the function ff?
  5. How can we visualize the gradient vector field of f(x,y)f(x, y) for specific values of xx and yy?

Tip: Remember, the gradient vector points in the direction of the steepest increase of a function.

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Math Problem Analysis

Mathematical Concepts

Calculus
Partial Derivatives
Gradient Vector Field

Formulas

Partial derivative with respect to x: f_x(x, y) = 8y^2 cos(xy)
Partial derivative with respect to y: f_y(x, y) = 8 sin(xy) + 8xy cos(xy)
Gradient vector field: ∇f(x, y) = (f_x(x, y), f_y(x, y))

Theorems

Product Rule
Chain Rule

Suitable Grade Level

Undergraduate Calculus (College Level)