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Consider the function \(f(x, y)=8-x^{2} / 2-y^{2},\) whose graph is a paraboloid (see figure). a. Fill in the table with the values of the directional derivative at the points \((a, b)\) in the directions given by the unit vectors \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{w}\) b. Interpret each of the directional derivatives computed in part (a) at the point (2,0)

Short Answer

Expert verified
Question: Find the directional derivatives of the function f(x, y) = 8 - x^2/2 - y^2 at the point (2, 0) and in the directions of the unit vectors \(\mathbf{u} = (1/\sqrt{2}, 1/\sqrt{2})\), \(\mathbf{v} = (-1/\sqrt{2}, 1/\sqrt{2})\), and \(\mathbf{w} = (0, 1)\), and explain what they represent. To compute the directional derivatives at the point (2, 0), we plug in the values for x and y into the gradient we found in Step 1: $$ \nabla f(2, 0) = (-2, 0) $$ Now, we can find the directional derivatives in each of the given directions: 1. In the direction of \(\mathbf{u}\): $$ D_{\mathbf{u}}f(2, 0) = \nabla f(2, 0) \cdot \mathbf{u} = (-2, 0) \cdot \left(\frac{1}{\sqrt{2}}, \frac{1}{\sqrt{2}}\right) = -\frac{2}{\sqrt{2}} = -\sqrt{2} $$ 2. In the direction of \(\mathbf{v}\): $$ D_{\mathbf{v}}f(2, 0) = \nabla f(2, 0) \cdot \mathbf{v} = (-2, 0) \cdot \left(-\frac{1}{\sqrt{2}}, \frac{1}{\sqrt{2}}\right) = \frac{2}{\sqrt{2}} = \sqrt{2} $$ 3. In the direction of \(\mathbf{w}\): $$ D_{\mathbf{w}}f(2, 0) = \nabla f(2, 0) \cdot \mathbf{w} = (-2, 0) \cdot (0, 1) = 0 $$ Interpretation: The directional derivatives give us the rate of change of the function f(x, y) in the direction of the given unit vectors at the point (2, 0). For the unit vector \(\mathbf{u}\), the function is decreasing at a rate of \(-\sqrt{2}\) at this point. For the unit vector \(\mathbf{v}\), the function is increasing at a rate of \(\sqrt{2}\) at this point. And for the unit vector \(\mathbf{w}\), the function is not changing at all in that direction.

Step by step solution

01

Find the gradient of the function f(x, y)

To find the gradient of the function f(x, y) = 8 - x^2/2 - y^2, we need to find the partial derivatives with respect to x and y: $$ \nabla f(x, y) = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}\right) $$ Now, let's calculate the partial derivatives: $$ \frac{\partial f}{\partial x} = -x $$ and $$ \frac{\partial f}{\partial y} = -2y $$ So, the gradient is: $$ \nabla f(x, y) = (-x, -2y) $$
02

Derive the directional derivative formula

The directional derivative of a function f(x, y) in the direction of a unit vector \(\mathbf{u}\) is defined as the following: $$ D_{\mathbf{u}}f(x, y) = \nabla f(x, y) \cdot \mathbf{u} $$ where \(\nabla f(x, y)\) is the gradient of the function f(x, y) and \(\mathbf{u}\) is a given unit vector.
03

Calculate and fill the table

According to the given exercise, we need to find the directional derivatives at the point (a, b) in the directions given by the unit vectors \(\mathbf{u}, \mathbf{v}\), and \(\mathbf{w}\). Since we are not provided with specific values for (a, b) or the unit vectors \(\mathbf{u}, \mathbf{v}\), and \(\mathbf{w}\), it is not possible to compute the derivatives at this point. An example needs to be provided for us to proceed.
04

Interpret the directional derivatives computed in part (a) at the point (2, 0)

As we were not given the specific values for the point (2, 0) and the unit vectors \(\mathbf{u}, \mathbf{v}\), and \(\mathbf{w}\) in part (a), there is no way to provide an interpretation of the directional derivatives computed at this point.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Gradient
In mathematics, the gradient is a vector that describes the direction and rate of fastest increase of a scalar field, which in this case is our function. The function given is \( f(x, y) = 8 - \frac{x^2}{2} - y^2 \).
To find the gradient \( abla f(x, y) \), we compute the partial derivatives of \( f \) with respect to each variable.
  • The partial derivative with respect to \( x \) is \( \frac{\partial f}{\partial x} = -x \).
  • The partial derivative with respect to \( y \) is \( \frac{\partial f}{\partial y} = -2y \).
Thus, the gradient is given by:\[abla f(x, y) = (-x, -2y)\]The gradient vector points in the direction of the steepest ascent of the function. Its magnitude indicates how steep the ascent is.
Evaluating the gradient at any specific point, like (2,0), helps understand the function's behavior at that point.
Partial Derivatives
Partial derivatives involve taking the derivative of a function with multiple variables with respect to one variable at a time, treating all other variables as constants. For the function \( f(x, y) = 8 - \frac{x^2}{2} - y^2 \), we have a surface in 3D space, a paraboloid.
  • To find \( \frac{\partial f}{\partial x} \), treat \( y \) as constant and differentiate with respect to \( x \), obtaining \( -x \).
  • To find \( \frac{\partial f}{\partial y} \), treat \( x \) as constant and differentiate with respect to \( y \), resulting in \( -2y \).
These derivatives provide information about how the function changes as we vary \( x \) or \( y \), independently.
Using partial derivatives, we can construct the gradient vector, which combines changes in all directions.
Unit Vector
A unit vector is a vector with a magnitude of 1. It is used to specify a direction without changing size of the vectors involved in calculations, particularly directional derivatives.
  • The magnitude of a unit vector \( \mathbf{u} = (a, b) \) is calculated as \( \sqrt{a^2 + b^2} = 1 \).
  • It ensures the directional derivative accurately relates to just direction influence and not vector length.
We compute the directional derivative of \( f \) at a point in the direction of a unit vector \( \mathbf{u} \) using:\[D_{\mathbf{u}}f(x, y) = abla f(x, y) \cdot \mathbf{u}\]The dot product integrates both the gradient and the directional unit vector to reveal the rate and direction of change at that point on the surface.
This makes unit vectors essential in calculus for exploring how functions behave when we consider movement in specific directions.

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Most popular questions from this chapter

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