/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q71SE In Problems \(19\) and \(20\) ve... [FREE SOLUTION] | 91影视

91影视

In Problems \(19\) and \(20\) verify that the indicated expression is an implicit solution of the given first-order differential equation. Find atleast one explicit solution \(y = \phi (x)\) in each case. Use a graphing utility to obtain the graph of an explicit solution. Give an interval \(I\) of definition of each solution \(\phi \).

Short Answer

Expert verified

The indicated function is an explicit solution of the given differential equation and the interval \(I\) is \(( - \infty ,\ln 2)\) and \((\ln 2,\infty )\).

Step by step solution

01

Define an explicit function.

An explicit solution is one in which the dependent variable is expressed directly in terms of the independent variable and constants.

Let the expression be\(ln\left( {\frac{{2X - 1}}{{X - 1}}} \right) = t\).

Take exponential on both sides of the equation.

\({e^{ln\left( {\frac{{2X - 1}}{{X - 1}}} \right)}} = {e^t}\)

\(\begin{aligned}{l}\frac{{2X - 1}}{{X - 1}} &= {e^t}\\2X - 1 &= (X - 1){e^t}\end{aligned}\)

Simplify the equation by using the algebra.

\(\begin{aligned}{c}2X - X{e^t} &= 1 - {e^t}\\X &= \frac{{1 - {e^t}}}{{2 - {e^t}}}\end{aligned}\)

02

Determine the derivative of the function.

Let the first derivative of the above function is

\(\begin{aligned}{c}X' &= \frac{{dX}}{{dt}} &= \frac{{\left( {2 - {e^t}} \right)\left( { - {e^t}} \right) - \left( {1 - {e^t}} \right)\left( { - {e^t}} \right)}}{{{{\left( {2 - {e^t}} \right)}^2}}}\\X' &= \frac{{dX}}{{dt}} &= \frac{{ - 2{e^t} + {e^{2t}} + {e^t} - {e^{2t}}}}{{{{\left( {2 - {e^t}} \right)}^2}}}\\X' &= \frac{{dX}}{{dt}} &= \frac{{ - {e^t}}}{{{{\left( {2 - {e^t}} \right)}^2}}}\end{aligned}\)

03

Determine the explicit solution.

Substitute \(y\) and \(y'\) into the left-hand side of the differential equation.

\(\begin{aligned}{c}\frac{{ - {e^t}}}{{{{\left( {2 - {e^t}} \right)}^2}}} &= \left( {\frac{{ - 1}}{{2 - {e^t}}}} \right)\left( {\frac{{{e^t}}}{{2 - {e^t}}}} \right)\\\frac{{ - {e^t}}}{{{{\left( {2 - {e^t}} \right)}^2}}} &= \left( {\frac{{1 - {e^t}}}{{2 - {e^t}}} - 1} \right)\left( {1 - 2\left( {\frac{{1 - {e^t}}}{{2 - {e^t}}}} \right)} \right)\\\frac{{ - {e^t}}}{{{{\left( {2 - {e^t}} \right)}^2}}} &= \frac{{ - {e^t}}}{{{{\left( {2 - {e^t}} \right)}^2}}}\end{aligned}\)

That is same as the right-hand side of the differential equation. The indicated function is an explicit solution of the given differential equation.

04

Determine the graph of the solution.

Hence the interval of the solution while considering the solution as a function is,

\(\begin{array}{c}2 - {e^t} \ne 0\\2 \ne {e^t}\\t \ne ln2\end{array}\)

\(I\)is \(( - \infty ,\ln 2)\) and \((\ln 2,\infty )\).

Let the graph of the expression be,

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The melting point of each of 16 samples of a certain brand of hydrogenated vegetable oil was determined, resulting in \(\overline x = 94.32\). Assume that the distribution of the melting point is normal with 蟽 =1.20.

a.Test H0: 碌 =95 versus Ha: 碌鈮 95 using a two -tailed level .01 test.

b.If a level .01 test is used, what is 尾(94), the probability of a type II error when 碌=94?

c.What value of n is necessary to ensure that 尾(94) = .1 when 伪 = .01?

Reconsider the paint-drying situation of Example 8.5, in which drying time for a test specimen is normally distributed with 蟽 = 9. The hypotheses H0: 碌 =75 versus Ha: 碌 <75 are to be tested using a random sample of n= 25 observations.

a.How many standard deviations (of X) below the null value is \(\overline x = 72.3\)?

b.If \(\overline x = 72.3\), what is the conclusion using 伪 =.002?

c.For the test procedure with 伪 =.002, what is 尾(70)?

d.If the test procedure with 伪 =.002 is used, what n is necessary to ensure that 尾(70) = .01?

e.If a level .01 test is used with n5 100, what is the probability of a type I error when m5 76?Answer the following questions for the tire problem in Example 8.7.

a.If \(\overline x = 30,960\) 30,960 and a level 伪=.01 test is used, what is the decision?

b.If a level .01 test is used, what is 尾(30,500)?

c.If a level .01 test is used and it is also required that 尾(30,500) = .05, what sample size n is necessary?

d.If \(\overline x = 30,960\), what is the smallest 伪 at which H0 can be rejected (based on n = 16)?

The following observations are on stopping distance (ft) of a particular truck at \(20mph\) under specified experimental conditions (鈥淓xperimental Measurement of the Stopping Performance of a Tractor-Semitrailer from Multiple Speeds,鈥 NHTSA, DOT HS 811 488, June 2011):

\(32.1 30.6 31.4 30.4 31.0 31.9\)

The cited report states that under these conditions, the maximum allowable stopping distance is \(30\). A normal probability plot validates the assumption that stopping distance is normally distributed.

a. Does the data suggest that true average stopping distance exceeds this maximum value? Test the appropriate hypotheses using \(\alpha = .01\).

b. Determine the probability of a type II error when a 5 .01, \(\sigma = .65\), and the actual value of \(\mu \) is \(31\). Repeat this for \(\mu = 32\) (use either statistical software or Table A.17).

c. Repeat (b) using \(\sigma = .80\) and compare to the results of (b).

d. What sample size would be necessary to have \(\alpha = .01\) and \(\beta = .10\) when \(\mu = 31\) and \(\sigma = .65\)?

A manufacturer of plumbing fixtures has developed a new type of washer less faucet. Let \(p = P\) (a randomly selected faucet of this type will develop a leak within \(2\) years under normal use). The manufacturer has decided to proceed with production unless it can be determined that \(p\) is too large; the borderline acceptable value of \(p\) is specified as \(.10\). The manufacturer decides to subject \(n\) of these faucets to accelerated testing (approximating \(2\) years of normal use). With \(X = \) the number among the \(n\) faucets that leak before the test concludes, production will commence unless the observed X is too large. It is decided that if \(p = .10\), the probability of not proceeding should be at most \(.10\), whereas if \(p = .30\) the probability of proceeding should be at most \(.10\). Can \(n = 10\) be used? \(n = 20\)? \(n = 25\)? What are the actual error probabilities for the chosen n?

Water samples are taken from water used for cooling as it is being discharged from a power plant into a river. It has been determined that as long as the mean temperature of the discharged water is at most 150掳F, there will be no negative effects on the river鈥檚 ecosystem. To investigate whether the plant is in compliance with regulations that prohibit a mean discharge water temperature above 150掳, 50 water samples will be taken at randomly selected times and the temperature of each sample recorded. The resulting data will be used to test the hypotheses H0: 碌= 1500 versus Ha: 碌> 1500. In the context of this situation, describe type I and type II errors. Which type of error would you

consider more serious? Explain.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.