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In Exercises \(35-38\) , find the function with the given derivative whose graph passes through the point \(P\) . $$f^{\prime}(x)=-\frac{1}{x^{2}}, \quad x>0, \quad P(2,1)$$

Short Answer

Expert verified
The function is \(f(x) = 1/x + 1/2\).

Step by step solution

01

Find the Indefinite Integral

First, integrate the derivative to get the function. The integral of \(-1/x^2\) is \(1/x\). So, the function \(f(x)\) is \(1/x + C\), where \(C\) is the constant of integration.
02

Substitute the Point into the Function

Substitute the point \(P(2,1)\) into the function to solve for \(C\). So, we substitute \(x = 2\) and \(f(x) = 1\) into the function to get \(1 = 1/2 + C\).
03

Solve for the Constant of Integration

From the last step we have \(1 = 1/2 + C\). Solving for \(C\), we get \(C = 1 - 1/2 = 1/2\). Therefore, the original function is \(f(x) = 1/x + 1/2\).

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Key Concepts

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

Antiderivative
Understanding the antiderivative is crucial when dealing with integration. It is essentially the reverse process of taking a derivative. While a derivative represents the rate of change of a function, an antiderivative represents a function whose derivative is the given function. In simpler terms, if you're given a function's rate of change, can you determine the original function? That's what finding an antiderivative is all about. For instance, if the rate of change or derivative is given by \(-\frac{1}{x^2}\), the antiderivative would be a function whose derivative equals \(-\frac{1}{x^2}\). Finding antiderivatives, also known as indefinite integrals, is like solving a puzzle where you are trying to discover the original shape (function) from its pattern of change (derivative).

It is vital to acknowledge that the antiderivative is not unique. Since the derivative of a constant is zero, any constant added to a function doesn't affect the rate of change represented by the derivative. Therefore, the antiderivative is usually expressed as the general form of the function plus an arbitrary constant, often denoted as \(C\). In the given exercise, the antiderivative of \(-\frac{1}{x^2}\) was identified as \(\frac{1}{x}\), but we must not forget to append \(+ C\) to represent any possible constants that were lost during differentiation.
Constant of Integration
The concept of the constant of integration is a fundamental part of integration. When we find the antiderivative of a function, we are essentially retrieving a function from its derivative. However, because differentiation eliminates constant values (since their derivative is zero), when we integrate, we must consider all potential constant values that could have been present in the original function. This is why we add the constant of integration, denoted as \(C\), to the result of an indefinite integral. It represents all the constant values that would yield the same derivative.

In practice, if an initial condition is provided, such as a point through which the graph of the function must pass, we can use this information to solve for the constant. For example, in the given exercise, the function needed to pass through the point \(P(2, 1)\). By substituting these values into the integrated function, the constant \(C\) could be calculated, thus pinpointing the exact original function that not only has the specified rate of change but also fits the given condition.
Integration Techniques
When dealing with integrals, there are several techniques we can employ to find the antiderivative of a function. Common techniques include substitution, integration by parts, partial fractions, and trigonometric integration, among others. The best technique to use often depends on the form of the function we're integrating.

For simple power functions, such as \(x^n\), we apply the power rule for integration, which involves adding one to the exponent and dividing by the new exponent. In the exercise provided, the integral of \(-\frac{1}{x^2}\), or \(-x^{-2}\), was found using the power rule, resulting in \(1/x + C\). As the function is a simple power function, no advanced techniques were necessary. However, it's essential to recognize the integrand's form to choose the most appropriate integration technique. This step is crucial to simplifying the problem and solving the integral correctly.

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Most popular questions from this chapter

Group Activity Cardiac Output In the late 1860 s, Adolf Fick, a professor of physiology in the Faculty of Medicine in Wurtzberg, Germany, developed one of the methods we use today for measuring how much blood your heart pumps in a minute. Your cardiac output as you read this sentence is probably about 7 liters a minute. At rest it is likely to be a bit under 6 \(\mathrm{L} / \mathrm{min}\) . If you are a trained marathon runner running a marathon, your cardiac output can be as high as 30 \(\mathrm{L} / \mathrm{min.}\) Your cardiac output can be calculated with the formula $$$=\frac{Q}{D}$$ where \(Q\) is the number of milliliters of \(\mathrm{CO}_{2}\) you exhale in a minute and \(D\) is the difference between the \(\mathrm{CO}_{2}\) concentration \((\mathrm{mL} / \mathrm{L})\) in the blood pumped to the lungs and the \(\mathrm{CO}_{2}\) concentration in the blood returning from the lungs. With \(Q=233 \mathrm{mL} / \mathrm{min}\) and \(D=97-56=41 \mathrm{mL} / \mathrm{L}\) $$y=\frac{233 \mathrm{mL} / \mathrm{min}}{41 \mathrm{mL} / \mathrm{L}} \approx 5.68 \mathrm{L} / \mathrm{min}$$ fairly close to the 6 \(\mathrm{L} / \mathrm{min}\) that most people have at basal (resting) conditions. (Data courtesy of J. Kenneth Herd, M.D. Quillan College of Medicine, East Tennessee State University.) Suppose that when \(Q=233\) and \(D=41,\) we also know that \(D\) is decreasing at the rate of 2 units a minute but that \(Q\) remains unchanged. What is happening to the cardiac output?

Unique Solution Assume that \(f\) is continuous on \([a, b]\) and differentiable on \((a, b) .\) Also assume that \(f(a)\) and \(f(b)\) have op- posite signs and \(f^{\prime} \neq 0\) between \(a\) and \(b\) . Show that \(f(x)=0\) exactly once between \(a\) and \(b .\)

Geometric Mean The geometric mean of two positive numbers \(a\) and \(b\) is \(\sqrt{a b}\) . Show that for \(f(x)=1 / x\) on any interval \([a, b]\) of positive numbers, the value of \(c\) in the conclusion of the Mean Value Theorem is \(c=\sqrt{a b} .\)

How We Cough When we cough, the trachea (windpipe) contracts to increase the velocity of the air going out. This raises the question of how much it should contract to maximize the velocity and whether it really contracts that much when we cough. Under reasonable assumptions about the elasticity of the tracheal wall and about how the air near the wall is slowed by friction, the average flow velocity \(v(\) in \(\mathrm{cm} / \mathrm{sec})\) can be modeled by the equation $$v=c\left(r_{0}-r\right) r^{2}, \quad \frac{r_{0}}{2} \leq r \leq r_{0}$$ where \(r_{0}\) is the rest radius of the trachea in \(\mathrm{cm}\) and \(c\) is a positive constant whose value depends in part on the length of the trachea. (a) Show that \(v\) is greatest when \(r=(2 / 3) r_{0},\) that is, when the trachea is about 33\(\%\) contracted. The remarkable fact is that \(X\) -ray photographs confirm that the trachea contracts about this much during a cough. (b) Take \(r_{0}\) to be 0.5 and \(c\) to be \(1,\) and graph \(v\) over the interval \(0 \leq r \leq 0.5 .\) Compare what you see to the claim that \(v\) is a maximum when \(r=(2 / 3) r_{0}\) .

Analyzing Derivative Data Assume that \(f\) is continuous on \([-2,2]\) and differentiable on \((-2,2) .\) The table gives some values of \(f^{\prime}(x)\) $$ \begin{array}{cccc}\hline x & {f^{\prime}(x)} & {x} & {f^{\prime}(x)} \\\ \hline-2 & {7} & {0.25} & {-4.81} \\ {-1.75} & {4.19} & {0.5} & {-4.25} \\\ {-1.5} & {1.75} & {0.75} & {-3.31} \\ {-1.25} & {-0.31} & {1} & {-2}\end{array} $$ $$ \begin{array}{rrrr}{-1} & {-2} & {1.25} & {-0.31} \\ {-0.75} & {-3.31} & {1.5} & {1.75} \\ {-0.5} & {-4.25} & {1.75} & {4.19}\end{array} $$ $$ \begin{array}{cccc}{-0.25} & {-4.81} & {2} & {7} \\ {0} & {-5}\end{array} $$ $$ \begin{array}{l}{\text { (a) Estimate where } f \text { is increasing, decreasing, and has local }} \\ {\text { extrema. }} \\ {\text { (b) Find a quadratic regression equation for the data in the table }} \\ {\text { and superimpose its graph on a scatter plot of the data. }} \\ {\text { (c) Use the model in part (b) for } f^{\prime} \text { and find a formula for } f \text { that }} \\ {\text { satisties } f(0)=0 .}\end{array} $$

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