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Archy [21]
3 years ago
8

Let: u, v, w \varepsilon R3 Prove: (u x v) * [(v x w) x (w x u)] = [u * (v x w)]2

Mathematics
1 answer:
sweet [91]3 years ago
4 0

Recall that for 3 vectors a,b,c, all in \mathbb R^3, the vector triple product

a\times(b\times c)=(a\cdot c)b-(a\cdot b)c

So

(v\times w)\times(w\times u)=((v\times w)\cdot u)w-((v\times w)\cdot w)u

Also recall the scalar triple product,

a\cdot(b\times c)

which gives the signed volume of the parallelipiped generated by the three vectors a,b,c. When either a=b or a=c, the parallelipepid is degenerate and has 0 volume, so

(v\times w)\cdot w=0

and the above reduces to

(v\times w)\times(w\times u)=((v\times w)\cdot u)w

so that

(u\times v)\cdot[(v\times w)\times(w\times u)]=(u\times v)\cdot((v\times w)\cdot u)w

The scalar triple product has the following property:

a\cdot(b\times c)=b\cdot(c\times a)=c\cdot(a\times b)

Since (v\times w)\cdot u is a scalar, we can factor it out to get

((v\times w)\cdot u)((u\times v)\cdot w)

and by the property above we have

(u\times v)\cdot w=u\cdot(v\times w)

and so we end up with

[u\cdot(v\times w)]^2

as required.

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answer: 5

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2 years ago
according the the american hotel and motel association, women are expected to account for half of all business travelers by the
Slav-nsk [51]

Answer:  0.71221

Step-by-step explanation:

We know that for binomial distribution :-

\mu=np\ \ ;\ \sigma=\sqrt{np(1-p)}, where p is the proportion of success in each trial and n is the sample size.

Given : p=0.80  ;   n=20

Then, \mu=20(0.8)=16\ \ ;\ \sigma=\sqrt{20(0.8)(0.2)}=1.79

Let X be the binomial variable.

z-score : z=\dfrac{x-\mu}{\sigma}

For x=9

z=\dfrac{9-16}{1.79}=-3.91

For x=17

z=\dfrac{17-16}{1.79}=0.56

Then, the probability that more than 9 but less than 17 of the hotels in the sample is given by :-

P(9

Hence, the probability that more than 9 but less than 17 of the hotels in the sample = 0.71221

5 0
3 years ago
POSTING THIS AGAIN PLEASE I NEED HELP I CAN'T FAIL THIS TEST
kotegsom [21]

Answer:

729 : 9 = 80 +1 is correct

4 0
2 years ago
2. Addison bought 9 pumpkin pies for $27. How much will she pay for 11 pumpkin pies? Use numbers and words to explain your answe
Olin [163]

Answer:

$33

Step-by-step explanation:

Since 9 pies is 27 dollars that means you have to divide 27 by 9 to find out what 1 pie costs

1 pie ends cause costing $3

now you multiply the cost for 1 pie and 11 so it comes out to be $33

4 0
2 years ago
Read 2 more answers
The distribution of head circumference for full term newborn female infants is approximately normal with a mean of 33.8 cm and a
enyata [817]

Using the normal distribution, it is found that 95.65% of full term newborn female infants with a head circumference between 31 cm and 36 cm.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 33.8, \sigma = 1.2

The proportion of full term newborn female infants with a head circumference between 31 cm and 36 cm is the <u>p-value of Z when X = 36 subtracted by the p-value of Z when X = 31</u>, hence:

X = 36:

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

Z = \frac{36 - 33.8}{1.2}

Z = 1.83

Z = 1.83 has a p-value of 0.9664.

X = 31:

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

Z = \frac{31 - 33.8}{1.2}

Z = -2.33

Z = -2.33 has a p-value of 0.0099.

0.9664 - 0.0099 = 0.9565.

0.9565 = 95.65% of full term newborn female infants with a head circumference between 31 cm and 36 cm.

More can be learned about the normal distribution at brainly.com/question/24537145

#SPJ1

4 0
2 years ago
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