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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,

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Most popular questions from this chapter

In Problems 25鈥28 use (12) to verify that the indicated function is a solution of the given differential equation. Assume an appropriate interval I of definition of each solution.

\(x\frac{{dy}}{{dx}} - 3xy = 1;y = {e^{3x}}\int_1^x {\frac{{{e^{ - 3t}}}}{t}} dt\)

A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1300 KN/m2 . The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with 蟽= 60. Let 碌 denote the true average compressive strength.

a.What are the appropriate null and alternative hypotheses?

b.Let \(\overline X \) denote the sample average compressive strength for n= 10 randomly selected specimens. Consider the test procedure with test statistic \(\overline X \) itself (not standardized). If \(\overline x = 1340\), should H0 be rejected using a significance level of .01? (Hint: What is the probability distribution of the test statistic when H0 is true?)

c.What is the probability distribution of the test statistic when 碌 = 1350? For a test with 伪 = .01, what is the probability that the mixture will be judged unsatisfactory when in fact 碌= 1350 (a type II error)?

The accompanying data on cube compressive strength (MPa) of concrete specimens appeared in the article 鈥淓xperimental Study of Recycled Rubber-Filled High-Strength Concrete鈥 (Magazine of Concrete Res., 2009: 549鈥556):

\(\begin{array}{l}112.3 97.0 92.7 86.0 102.0\\99.2 95.8 103.5 89.0 86.7\end{array}\)

a. Is it plausible that the compressive strength for this type of concrete is normally distributed?

b. Suppose the concrete will be used for a particular application unless there is strong evidence that true average strength is less than \(100MPa\). Should the concrete be used? Carry out a test of appropriate hypotheses.

Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The price of these bulbs is very favorable, so a potential customer has decided to go ahead with a purchase arrangement unless it can be conclusively demonstrated that the true average lifetime is smaller than what is advertised. A random sample of 50 bulbs was selected, the lifetime of each bulb determined, and the appropriate hypotheses were tested using Minitab, resulting in the accompanying output.

Variable N Mean StDev SE Mean Z P-Value

Lifetime 50 738.44 38.20 5.40 -2.14 0.016

What conclusion would be appropriate for a significance level of .05? A significance level of .01? What significance level and conclusion would you recommend?

The calibration of a scale is to be checked by weighing a 10-kg test specimen 25 times. Suppose that the results of different weightings are independent of one another and that the weight on each trial is normally distributed with 蟽 = .200 kg. Let 碌 denote the true average weight reading

on the scale.

a.What hypotheses should be tested?

b.With the sample mean itself as the test statistic, what is the P-value when \(\overline x = 9.85\), and what would you conclude at significance level .01?

c.For a test with 伪 =.01, what is the probability that recalibration is judged unnecessary when in fact 碌=10.1? When 碌= 9.8?

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