Chapter 13: Problem 30
a. Find the linear approximation for the following functions at the given point. b. Use part (a) to estimate the given function value. $$f(x, y)=(x+y) /(x-y) ;(3,2) ; \text { estimate } f(2.95,2.05)$$
Short Answer
Expert verified
Answer: The estimated value at the point (2.95, 2.05) is approximately $$4.9$$.
Step by step solution
01
Find the Partial Derivatives of the Function
To find the linear approximation, we need the partial derivatives of the function with respect to x and y. We will find these derivatives by applying the quotient rule. Let's first find the partial derivative with respect to x, $$\frac{\partial f}{\partial x}$$:
$$\frac{\partial f}{\partial x} = \frac{(1)(x-y)-(x+y)(1)}{(x-y)^2} = \frac{-2y}{(x-y)^2}$$
Now, let's find the partial derivative with respect to y, $$\frac{\partial f}{\partial y}$$:
$$\frac{\partial f}{\partial y} = \frac{(x+y)(-1)-(1)(x-y)}{(x-y)^2} = \frac{-2x}{(x-y)^2}$$
02
Evaluate Partial Derivatives at the Given Point
Now that we have the partial derivatives, we will evaluate them at the given point (3, 2):
$$\frac{\partial f}{\partial x}(3,2) = \frac{-2(2)}{(3-2)^2} = -4$$
$$\frac{\partial f}{\partial y}(3,2) = \frac{-2(3)}{(3-2)^2} = -6$$
03
Determine the Linear Approximation Equation
With the obtained partial derivative values, we can now write the linear approximation (also known as the tangent plane) at the point (3, 2):
$$L(x, y) = f(3, 2) + \frac{\partial f}{\partial x}(3,2)(x-3) + \frac{\partial f}{\partial y}(3,2)(y-2)$$
We also need to find the value of the function at the given point, f(3, 2):
$$f(3, 2) = \frac{3 + 2}{3 - 2} = \frac{5}{1} = 5$$
Now, substitute the function value and the partial derivatives into the equation:
$$L(x, y) = 5 - 4(x-3) - 6(y-2)$$
04
Estimate the Function Value at (2.95, 2.05)
Finally, we will use the linear approximation equation to estimate the function value at the point (2.95, 2.05):
$$L(2.95, 2.05) \approx 5 - 4(2.95-3) - 6(2.05-2) = 5 - 4(-0.05) - 6(0.05) = 5 + 0.2 - 0.3 = 4.9$$
Hence, we can estimate that the function value at the point (2.95, 2.05) is approximately $$4.9$$.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Partial Derivatives
In calculus, partial derivatives represent the rate at which a function changes as one of its variables changes while all other variables are held constant. For a function of two variables, like \( f(x, y) \), you can take the partial derivative with respect to \( x \) and \( y \).
To do this, you treat every other variable as if it were a constant.With our function \( f(x, y) = (x+y)/(x-y) \), we first have to calculate the partial derivatives with respect to each variable. Specifically, \( \frac{\partial f}{\partial x} \) and \( \frac{\partial f}{\partial y} \). These represent how \( f \) changes when either \( x \) or \( y \) changes.
To do this, you treat every other variable as if it were a constant.With our function \( f(x, y) = (x+y)/(x-y) \), we first have to calculate the partial derivatives with respect to each variable. Specifically, \( \frac{\partial f}{\partial x} \) and \( \frac{\partial f}{\partial y} \). These represent how \( f \) changes when either \( x \) or \( y \) changes.
- \( \frac{\partial f}{\partial x} = \frac{-2y}{(x-y)^2} \)
- \( \frac{\partial f}{\partial y} = \frac{-2x}{(x-y)^2} \)
Quotient Rule
The quotient rule is essential when differentiating a function that is the division of two other functions. When you have a function that looks like \( g(x) / h(x) \), the rule helps you find its derivative.Here's the formula for the quotient rule:\[\left( \frac{g}{h} \right)' = \frac{g' \cdot h - g \cdot h'}{h^2}\]In this problem, our function \( f(x, y) = \frac{x+y}{x-y} \) requires the quotient rule.
By substituting \( g = x + y \) and \( h = x - y \) into the formula, we differentiate with respect to \( x \) or \( y \) as needed.
By substituting \( g = x + y \) and \( h = x - y \) into the formula, we differentiate with respect to \( x \) or \( y \) as needed.
- When finding \( \frac{\partial f}{\partial x} \), treat \( y \) as a constant during differentiation.
- When finding \( \frac{\partial f}{\partial y} \), treat \( x \) as a constant.
Tangent Plane
The tangent plane is a linear approximation of a function at a given point. It provides a simple way to estimate function values close to this point with just a flat plane.For a function \( f(x, y) \), the equation for the tangent plane at a particular point \((a, b)\) is:\[L(x, y) = f(a, b) + \frac{\partial f}{\partial x}(a, b)(x-a) + \frac{\partial f}{\partial y}(a, b)(y-b)\]This formula uses the function value as well as its partial derivatives at the chosen point.
- In our example, with the point (3, 2), and \( f(3, 2) = 5 \), the tangent plane simplification helps us estimate nearby values.
- Thus, at (2.95, 2.05), the estimated function value using the tangent plane is very close to the actual value, approximately \( 4.9 \).