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In Problems 25–28 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.

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

Short Answer

Expert verified

The indicated function is a solution of the differential function.

Step by step solution

01

Simplify the given differential equation.

Let the given differential equation be \(y = {e^{3x}}\int_1^x {\frac{{{e^{ - 3t}}}}{t}} dt\).

Multiply each side of the equation by \({e^{ - 3x}}\).

\(\begin{array}{l}y{e^{ - 3x}} = {e^{3x}}{e^{ - 3x}}\int_1^x {\frac{{{e^{ - 3t}}}}{t}} \;dt\\y{e^{ - 3x}} = \int_1^x {\frac{{{e^{ - 3t}}}}{t}} \;dt\end{array}\)

02

Determine the solution of the indicated function.

Take differential on both sides of the equation.

Multiply \(x\) on both sides of the equation.

\(x{e^{ - 3x}}\frac{{dy}}{{\;dx}} - 3yx{e^{ - 3x}} = {e^{ - 3x}}\)

Divide\({e^{ - 3x}}\)on both sides of the equation.

\(x\frac{{dy}}{{\;dx}} - 3yx = 1\)

Hence, the indicated function is a solution of the differential function.

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Most popular questions from this chapter

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?

A random sample of \(150\) recent donations at a certain blood bank reveals that \(82\) were type A blood. Does this suggest that the actual percentage of type A donations differs from \(40\% \), the percentage of the population having type A blood? Carry out a test of the appropriate hypotheses using a significance level of \(.01\). Would your conclusion have been different if a significance level of \(.05\) had been used?

Pairs of P-values and significance levels, α, are given.

For each pair, state whether the observed P-value would lead to rejection of H0 at the given significance level.

a.P­-value = .084, α= .05

b.P­-value = .003, α= .001

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d.P-­value = .084, α= .10

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f.P-­value = .218, α = .10

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