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In Problems 21鈥24 verify that the indicated family of functions is a solution of the given differential equation. Assume an appropriate interval I of definition for each solution.

\({x^3}\frac{{{d^3}y}}{{d{x^3}}} + 2{x^2}\frac{{{d^2}y}}{{d{x^2}}} - x\frac{{dy}}{{dx}} + y = 12{x^2};y = {c_1}{x^{ - 1}} + {c_2}x + {c_3}xlnx + 4{x^2}\)

Short Answer

Expert verified

The indicated function is a solution of the given differential equation with the interval \(I:(0,\infty )\).

Step by step solution

01

Determine the derivatives of the function.

Let the given function be \(y = {c_1}{x^{ - 1}} + {c_2}x + {c_3}xlnx + 4{x^2}\).

Then, the first derivative of the function is,

\(\frac{{dy}}{{dx}} = - {c_1}{x^{ - 2}} + {c_2} + {c_3}(lnx + 1) + 8x\)

The second derivative of the function is,

\(\frac{{{d^2}y}}{{d{x^2}}} = 2{c_1}{x^{ - 3}} + {c_3}{x^{ - 1}} + 8\)

The third derivative of the function is,

\(\frac{{{d^3}y}}{{d{x^3}}} = - 6{c_1}{x^{ - 4}} - {c_3}{x^{ - 2}}\)

02

Determine the interval of the solution.

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

\(\begin{aligned}{c}{x^3}\left( { - 6{c_1}{x^{ - 4}} - {c_3}{x^{ - 2}}} \right) + 2{x^2}\left( {2{c_1}{x^{ - 3}} + {c_3}{x^{ - 1}} + 8} \right) - x\left( { - {c_1}{x^{ - 2}} + {c_2} + {c_3}(lnx + 1) + 8x} \right) + \left( {{c_1}{x^{ - 1}} + {c_2}x + {c_3}xlnx + 4{x^2}} \right) &= 12{x^2}\\{c_1}\left( { - 6{x^{ - 1}} + 4{x^{ - 1}} + {x^{ - 1}} + {x^{ - 1}}} \right) + {c_2}( - x + x) + {c_3}( - x + 2x - xlnx - x + xlnx) + \left( {16{x^2} - 8{x^2} + 4{x^2}} \right) &= 12{x^2}\\12{x^2} &= 12{x^2}\end{aligned}\)

That is same as the right-hand side of the differential equation. As the solution has logarithmic term, the solution is defined when \(x > 0\), (i.e.) \(I:(0,\infty )\). Thus, the indicated function is a solution of the given differential equation.

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Most popular questions from this chapter

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 \(\phi \).

In Problems \(15 - 18\) verify that the indicated function \(y = \phi (x)\) is an explicit solution of the given first-order differential equation. Proceed as in Example \(6\), by considering \(\phi \) simply as a function and give its domain. Then by considering \(\phi \) as a solution of the differential equation, give at least one interval \(I\) of definition.

\(2y' = {y^3}cosx;y = {(1 - sinx)^{ - 1/2}}\)

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 \(\sigma = .65\)?

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 desired percentage of SiO2 in a certain type of aluminous cement is 5.5. To test whether the true average percentage is 5.5 for a particular production facility, 16 independently obtained samples are analyzed. Suppose that the percentage of SiO颅2 in a sample is normally distributed with

蟽 =3 and that \(\overline x = 5.25\).

a.Does this indicate conclusively that the true average percentage differs from 5.5?

b.If the true average percentage is 碌 = 5.6 and a level 伪 = .01 test based on n=16 is used, what is the probability of detecting this departure from H0?

c.What value of n is required to satisfy 伪 = .01 and 尾( 5.6)= .01?

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