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Find an equation for the plane that is tangent to the given surface at the given point. $$ z=e^{-\left(x^{2}+y^{2}\right)}, \quad(0,0,1) $$

Short Answer

Expert verified
The equation of the tangent plane is \(z = 1\).

Step by step solution

01

Recall the Formula for a Tangent Plane

The equation for the tangent plane to a surface at a point \((x_0, y_0, z_0)\) is given by: \( z = z_0 + f_x(x_0, y_0)(x - x_0) + f_y(x_0, y_0)(y - y_0) \), where \(f_x\) and \(f_y\) are the partial derivatives of the surface equation with respect to \(x\) and \(y\), respectively.
02

Find the Partial Derivatives

First, we calculate the partial derivatives of the function \(z = e^{-(x^2 + y^2)}\). The partial derivative with respect to \(x\) is: \[ f_x = \frac{d}{dx}[e^{-(x^2 + y^2)}] = -2x \, e^{-(x^2 + y^2)}. \]Similarly, the partial derivative with respect to \(y\) is:\[ f_y = \frac{d}{dy}[e^{-(x^2 + y^2)}] = -2y \, e^{-(x^2 + y^2)}. \]
03

Evaluate Partial Derivatives at the Point

Now, evaluate the partial derivatives at the point \((0, 0, 1)\). Substitute \(x = 0\) and \(y = 0\) into the equations for \(f_x\) and \(f_y\):\[ f_x(0, 0) = -2 \, (0) \, e^{-(0^2 + 0^2)} = 0, \]\[ f_y(0, 0) = -2 \, (0) \, e^{-(0^2 + 0^2)} = 0. \]
04

Write the Equation of the Tangent Plane

Using the formula for the tangent plane from Step 1 and substituting \(x_0 = 0\), \(y_0 = 0\), \(z_0 = 1\), and the partial derivatives evaluated at the point, we get:\[ z = 1 + 0 \, (x - 0) + 0 \, (y - 0), \]which simplifies to:\[ z = 1. \]

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Key Concepts

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

Partial Derivatives and Their Role
In calculus, a partial derivative is a way to take a derivative of a function with multiple variables while holding all but one variable constant. This is particularly important when dealing with surfaces that are a function of two variables, like \( z = f(x, y) \).
For the surface given by the equation \( z = e^{-(x^2 + y^2)} \), the partial derivatives help identify how \( z \) changes with respect to changes in \( x \) and \( y \).
This is crucial for establishing the tangent plane, as the tangent plane represents the linear approximation of the surface at a specific point.
  • To calculate the partial derivative with respect to \( x \), treat \( y \) as a constant and differentiate \( z \) concerning \( x \).
  • Similarly, to find the partial derivative with respect to \( y \), consider \( x \) as constant and differentiate accordingly.
Understanding partial derivatives provides essential insight into the behavior of the surface in various directions, which in turn informs the shape and position of the tangent plane.
Surface Equation and Tangent Plane
The surface equation represents a function defining values for a surface in three-dimensional space. In our example, the surface is represented by \( z = e^{-(x^2 + y^2)} \). Such equations allow us to understand how variables interact in forming a surface.
The tangent plane is a flat surface that touches the surface equation at exactly one point, without intersecting it. It serves as an approximation of the surface at a specific point, often facilitating easier calculations.
In order to find the equation of the tangent plane, we first need to understand the form of the equation. For a surface given as \( z = f(x, y) \), the tangent plane equation at a point \((x_0, y_0, z_0)\) is expressed as:\[ z = z_0 + f_x(x_0, y_0)(x - x_0) + f_y(x_0, y_0)(y - y_0) \] where \( f_x \) and \( f_y \) are the partial derivatives previously calculated.
Evaluating Derivatives at a Point
Evaluating derivatives at a specific point allows us to determine the rate of change of a surface precisely at that location. This forms a critical step in calculating the tangent plane.
In our task, we evaluated the partial derivatives of the surface \( z = e^{-(x^2 + y^2)} \) at the point \( (0, 0, 1) \). When we substituted these coordinates into our partial derivatives, additional terms containing \( x \) or \( y \) zero out, simplifying our equation further.
At this point, the evaluated partial derivatives \( f_x(0, 0) = 0 \) and \( f_y(0, 0) = 0 \) reflect no changes, indicating that any small movement from \( (0, 0) \) directions won't change the surface height at this point, given the surface shape around \( (0, 0, 1) \).
Upon substitution into the tangent plane equation, we derive \( z = 1 \), indicating a horizontal plane at \( z = 1 \).

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Most popular questions from this chapter

You will explore functions to identify their local extrema. Use a CAS to perform the following steps: a. Plot the function over the given rectangle. b. Plot some level curves in the rectangle. c. Calculate the function's first partial derivatives and use the CAS equation solver to find the critical points. How do the critical points relate to the level curves plotted in part (b)? Which critical points, if any, appear to give a saddle point? Give reasons for your answer. d. Calculate the function's second partial derivatives and find the discriminant \(f_{x x} f_{y y}-f_{x y}^{2}\) . e. Using the max-min tests, classify the critical points found in part (c). Are your findings consistent with your discussion in part (c)? $$\begin{array}{l}{f(x, y)=x^{4}+y^{2}-8 x^{2}-6 y+16,-3 \leq x \leq 3} \\\ {-6 \leq y \leq 6}\end{array}$$

In Exercises \(57-60,\) use the limit definition of partial derivative to compute the partial derivatives of the functions at the specified points. $$ f(x, y)=\left\\{\begin{array}{ll}{\frac{\sin \left(x^{3}+y^{4}\right)}{x^{2}+y^{2}},} & {(x, y) \neq(0,0)} \\ {0,} & {(x, y)=(0,0)} \\ {\frac{\partial f}{\partial x} \text { and } \frac{\partial f}{\partial y} \text { at }(0,0)}\end{array}\right. $$

Use a CAS to perform the following steps implementing the method of Lagrange multipliers for finding constrained extrema: a. Form the function \(h=f-\lambda_{1} g_{1}-\lambda_{2} g_{2},\) where \(f\) is the function to optimize subject to the constraints \(g_{1}=0\) and \(g_{2}=0\) . b. Determine all the first partial derivatives of \(h\) , including the partials with respect to \(\lambda_{1}\) and \(\lambda_{2},\) and set them equal to \(0 .\) c. Solve the system of equations found in part (b) for all the unknowns, including \(\lambda_{1}\) and \(\lambda_{2}\) . d. Evaluate \(f\) at each of the solution points found in part (c) and select the extreme value subject to the constraints asked for in the exercise. Minimize \(f(x, y, z)=x^{2}+y^{2}+z^{2}\) subject to the constraints \(x^{2}-x y+y^{2}-z^{2}-1=0\) and \(x^{2}+y^{2}-1=0.\)

In Exercises \(51-54,\) verify that \(w_{x y}=w_{y x}\) $$w=\ln (2 x+3 y)$$

Extrema on a circle of intersection Find the extreme values of the function \(f(x, y, z)=x y+z^{2}\) on the circle in which the plane \(y-x=0\) intersects the sphere \(x^{2}+y^{2}+z^{2}=4.\)

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