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Computing directional derivatives with the gradient Compute the directional derivative of the following functions at the given point \(P\) in the direction of the given vector. Be sure to use a unit vector for the direction vector. $$h(x, y)=e^{-x-y} ; P(\ln 2, \ln 3) ;\langle 1,1\rangle$$

Short Answer

Expert verified
Answer: The directional derivative is \(\frac{1}{3\sqrt{2}}\).

Step by step solution

01

Find the gradient at P

We start by finding the partial derivatives of the given function with respect to x and y. $$\frac{\partial h}{\partial x}=-e^{-x-y}$$ $$\frac{\partial h}{\partial y}=-e^{-x-y}$$ Now we need to find the gradient at the point \((\ln 2, \ln 3)\). We substitute these values into the partial derivatives. $$\nabla h|_{(\ln(2), \ln(3))} = \left<-\frac{1}{2}\cdot\frac{1}{3},-\frac{1}{2}\cdot\frac{1}{3} \right> = \left<-\frac{1}{6}, -\frac{1}{6}\right>$$
02

Find the unit vector

The given direction vector is \(\langle 1,1\rangle\). We need to find the unit vector in this direction, which is found by dividing the direction vector by its magnitude. The magnitude of the given vector is: $$\|\langle 1,1\rangle\|= \sqrt{1^2+1^2} = \sqrt{2}$$ Hence, the unit vector is: $$\frac{\langle 1,1\rangle}{\sqrt{2}}=\left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>$$
03

Compute the directional derivative

Now we have the gradient at point \(P\) and the unit vector in the direction of the given vector. We will find the directional derivative by taking the dot product of the gradient and the unit vector. $$D_{\left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>}h(x,y) = \nabla h|_{(\ln(2), \ln(3))} \cdot \left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>$$ $$D_{\left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>}h(x,y) = \left<-\frac{1}{6}, -\frac{1}{6}\right> \cdot \left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>$$ $$D_{\left<\frac{1}{\sqrt{2}},\frac{1}{\sqrt{2}}\right>}h(x,y) = \frac{1}{6\sqrt{2}}+\frac{1}{6\sqrt{2}} = \frac{1}{3\sqrt{2}}$$ The directional derivative of the function \(h(x, y)=e^{-x-y}\) at point \(P(\ln 2, \ln 3)\) in the direction of the vector \(\langle 1,1\rangle\) is \(\frac{1}{3\sqrt{2}}\).

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Key Concepts

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

Gradient
In mathematics, particularly in multivariable calculus, the concept of a gradient is fundamental. The gradient represents the rate and direction of change in a multi-variable function. If you have a function like \(h(x, y) = e^{-x-y}\), the gradient tells us which way we should go to increase or decrease the output the fastest.
  • The gradient is a vector, noted as \(abla h\) for function \(h\), which consists of its partial derivatives.
  • The components of this vector give us partial derivatives of the function with respect to each variable involved.
  • In our problem, the gradient \(abla h\) is found by calculating these partial derivatives, yielding a vector in terms of \(x\) and \(y\).
The gradient vector points in the direction of greatest increase of the function.
At point \(P(\ln 2, \ln 3)\), the gradient is \(abla h|_{(\ln(2), \ln(3))} = \langle-\frac{1}{6}, -\frac{1}{6}\rangle\). This tells us the rate of increase along each axis, showing a uniform rate of change along both the \(x\) and \(y\) directions.
Partial Derivatives
Partial derivatives are used to analyze how a function changes as one of its input variables changes while the others are held constant.
They are key when dealing with functions of multiple variables, like \(h(x, y) = e^{-x-y}\).
  • The partial derivative of a function with respect to \(x\), noted \(\frac{\partial h}{\partial x}\), means changing \(x\) slightly while keeping \(y\) unchanged, and observing the effect on the function.
  • Similarly, \(\frac{\partial h}{\partial y}\) represents how the function changes with slight variations in \(y\) while keeping \(x\) constant.
In our exercise, both partial derivatives of the function \(h(x, y)\) turned out to be identical, \(\frac{\partial h}{\partial x} = \frac{\partial h}{\partial y} = -e^{-x-y}\). This uniformity simplifies our calculations and reflects that the change influenced by both variables is symmetrical.
The partial derivatives become components of the gradient, showing us multi-dimensional changes in one go.
Unit Vector
A unit vector is a vector that has a magnitude of one, providing direction without scaling the size.
This is crucial in directional derivatives because the derivative must not be influenced by the length of the direction vector.
  • Given a direction vector, like \(\langle 1,1\rangle\), it's necessary to convert it into a unit vector by dividing each component by the vector's magnitude.
  • The magnitude (or length) of a vector \(\langle a,b\rangle\) is calculated using the formula \(\sqrt{a^2 + b^2}\).
  • In our case, it is calculated as \(\sqrt{1^2 + 1^2} = \sqrt{2}\).
Thus, the unit vector becomes \(\langle \frac{1}{\sqrt{2}}, \frac{1}{\sqrt{2}} \rangle\), ensuring that the directional derivative reflects only the direction of the vector, not its length.
This adjusted vector allows us to multiply with the gradient to find how fast and in which direction the function rises or falls at that point.

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Most popular questions from this chapter

Potential functions Potential functions arise frequently in physics and engineering. A potential function has the property that a field of interest (for example, an electric field, a gravitational field, or a velocity field) is the gradient of the potential (or sometimes the negative of the gradient of the potential). (Potential functions are considered in depth in Chapter \(17 .)\) The electric field due to a point charge of strength \(Q\) at the origin has a potential function \(\varphi=k Q / r,\) where \(r^{2}=x^{2}+y^{2}+z^{2}\) is the square of the distance between a variable point \(P(x, y, z)\) and the charge, and \(k>0\) is a physical constant. The electric field is given by \(\mathbf{E}=-\nabla \varphi,\) where \(\nabla \varphi\) is the gradient in three dimensions. a. Show that the three-dimensional electric field due to a point charge is given by $$\mathbf{E}(x, y, z)=k Q\left\langle\frac{x}{r^{3}}, \frac{y}{r^{3}}, \frac{z}{r^{3}}\right\rangle$$ b. Show that the electric field at a point has a magnitude \(|\mathbf{E}|=\frac{k Q}{r^{2}} .\) Explain why this relationship is called an inverse square law.

Prove that the level curves of the plane \(a x+b y+c z=d\) are parallel lines in the \(x y\) -plane, provided \(a^{2}+b^{2} \neq 0\) and \(c \neq 0\).

a. Determine the domain and range of the following functions. b. Graph each function using a graphing utility. Be sure to experiment with the window and orientation to give the best perspective on the surface. $$h(x, y)=\frac{x+y}{x-y}$$

a. Determine the domain and range of the following functions. b. Graph each function using a graphing utility. Be sure to experiment with the window and orientation to give the best perspective on the surface. $$g(x, y)=e^{-x y}$$

Use what you learned about surfaces in Sections 13.5 and 13.6 to sketch a graph of the following functions. In each case, identify the surface and state the domain and range of the function. $$G(x, y)=-\sqrt{1+x^{2}+y^{2}}$$

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