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Levart [38]
3 years ago
13

Use lagrange multipliers to find the points on the cone z2 = x2 + y2 that are closest to (16, 6, 0).

Mathematics
1 answer:
Inga [223]3 years ago
4 0
Minimize (x-16)^2+(y-6)^2+z^2 subject to z^2=x^2+y^2. The Lagrangian would be

L(x,y,z,\lambda)=(x-16)^2+(y-6)+z^2+\lambda(z^2-x^2-y^2)

and has partial derivatives

\begin{cases}L_x=2(x-16)-2\lambda x\\L_y=2(y-6)-2\lambda y\\L_z=2z+2\lambda z\\L_\lambda z^2-x^2-y^2\end{cases}

Setting each partial derivative to 0, we have

\begin{cases}2(x-16)-2\lambda x=0\implies (1-\lambda)x=16\\2(y-6)-2\lambda y=0\implies(1-\lambda)y=6\\2z+2\lambda z=0\implies(1+\lambda)z=0\\z^2-x^2-y^2=0\implies z^2=x^2+y^2\end{cases}

From the third equation, it follows that either \lambda=-1 or z=0. In the second case, we arrive at a contradiction:

z^2=x^2+y^2=0\implies x=y=0

since both x^2 and y^2 must be non-negative, yet this would mean e.g. (1-\lambda)x=0=16. So it must be that \lambda=-1.

The first and second equations then tell us that

(1-\lambda)x=2x=16\implies x=8
(1-\lambda)y=2y=6\implies y=3

from which we obtain z^2=8^2+3^2=73\implies z=\pm\sqrt{73}.

Thus the points on the cone closest to (16, 6, 0) are (8,3,\pm\sqrt{73}).
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A math professor notices that scores from a recent exam are normally distributed with a mean of 61 and a standard deviation of 8
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Answer:

a) 25% of the students exam scores fall below 55.6.

b) The minimum score for an A is 84.68.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean of 61 and a standard deviation of 8.

This means that \mu = 61, \sigma = 8

(a) What score do 25% of the students exam scores fall below?

Below the 25th percentile, which is X when Z has a p-value of 0.25, that is, X when Z = -0.675.

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

-0.675 = \frac{X - 61}{8}

X - 61 = -0.675*8

X = 55.6

25% of the students exam scores fall below 55.6.

(b) Suppose the professor decides to grade on a curve. If the professor wants 0.15% of the students to get an A, what is the minimum score for an A?

This is the 100 - 0.15 = 99.85th percentile, which is X when Z has a p-value of 0.9985. So X when Z = 2.96.

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

2.96 = \frac{X - 61}{8}

X - 61 = 2.96*8

X = 84.68

The minimum score for an A is 84.68.

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= 36 - 12 - 5
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