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BigorU [14]
3 years ago
10

Solve the given initial-value problem. the de is a bernoulli equation. x2 dy dx − 2xy = 4y4, y(1) = 1 2

Mathematics
1 answer:
mario62 [17]3 years ago
4 0
x^2\dfrac{\mathrm dy}{\mathrm dx}-2xy=4y^4
x^2y^{-4}\dfrac{\mathrm dy}{\mathrm dx}-2xy^{-3}=4

Substitute z=y^{-3}, so that \dfrac{\mathrm dz}{\mathrm dx}=-3y^{-4}\dfrac{\mathrm dy}{\mathrm dx}. Then the ODE in terms of z(x) is


-\dfrac13x^2\dfrac{\mathrm dz}{\mathrm dx}-2xz=4
x^2\dfrac{\mathrm dz}{\mathrm dx}+6xz=-12
x^6\dfrac{\mathrm dz}{\mathrm dx}+6x^5z=-12x^4

\dfrac{\mathrm d}{\mathrm dx}\left[x^6z\right]=-12x^4
\implies x^6z=-\dfrac{12}5x^5+C
\implies z=-\dfrac{12}{5x}+\dfrac C{x^6}
\implies\dfrac1{y^3}=-\dfrac{12}{5x}+\dfrac C{x^6}

and you can attempt to solve for y explicitly from here if you wish.
In any case, given that y(1)=\dfrac12 (presumably that's what you meant to write), we'd get

\dfrac1{\left(\frac12\right)^3}=-\dfrac{12}{5\cdot1}+\dfrac C{1^6}
8=-\dfrac{12}5+C\implies C=\dfrac{52}5

giving a particular solution of

\dfrac1{y^3}=-\dfrac{12}{5x}+\dfrac{52}{5x^6}
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Answer:

a) 56.91% probability that the customer will have to wait between 5 and 10 minutes.

b) 65.49% probability that the client will have to wait less than 6 minutes of more than 9 minutes.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 9.2, \sigma = 2.6

(a) Between 5 and 10 minutes

This is the pvalue of Z when X = 10 subtracted by the pvalue of Z when X = 5. So

X = 10

Z = \frac{X - \mu}{\sigma}

Z = \frac{10 - 9.2}{2.6}

Z = 0.31

Z = 0.31 has a pvalue of 0.6217

X = 5

Z = \frac{X - \mu}{\sigma}

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Z = -1.62 has a pvalue of 0.0526

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56.91% probability that the customer will have to wait between 5 and 10 minutes.

(b) Less than 6 minutes or more than 9 minutes

Less than 6

pvalue of Z when X = 6

Z = \frac{X - \mu}{\sigma}

Z = \frac{6 - 9.2}{2.6}

Z = -1.23

Z = -1.23 has a pvalue of 0.1230

12.30% probability that the client will have to wait less than 6 minutes

More than 9

1 subtracted by the pvalue of Z when X = 9.

Z = \frac{X - \mu}{\sigma}

Z = \frac{9 - 9.2}{2.6}

Z = -0.08

Z = -0.08 has a pvalue of 0.4681

1 - 0.4681 = 0.5319

53.19% probability that the client will have to wait more than 9 minutes

Less than 6 or more than 9

12.30 + 53.19 = 65.49% probability that the client will have to wait less than 6 minutes of more than 9 minutes.

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