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ludmilkaskok [199]
3 years ago
5

Can I get help with finding the Fourier cosine series of F(x) = x - x^2

Mathematics
1 answer:
trapecia [35]3 years ago
4 0
Assuming you want the cosine series expansion over an arbitrary symmetric interval [-L,L], L\neq0, the cosine series is given by

f_C(x)=\dfrac{a_0}2+\displaystyle\sum_{n\ge1}a_n\cos nx

You have

a_0=\displaystyle\frac1L\int_{-L}^Lf(x)\,\mathrm dx
a_0=\dfrac1L\left(\dfrac{x^2}2-\dfrac{x^3}3\right)\bigg|_{x=-L}^{x=L}
a_0=\dfrac1L\left(\left(\dfrac{L^2}2-\dfrac{L^3}3\right)-\left(\dfrac{(-L)^2}2-\dfrac{(-L)^3}3\right)\right)
a_0=-\dfrac{2L^2}3

a_n=\displaystyle\frac1L\int_{-L}^Lf(x)\cos nx\,\mathrm dx

Two successive rounds of integration by parts (I leave the details to you) gives an antiderivative of

\displaystyle\int(x-x^2)\cos nx\,\mathrm dx=\frac{(1-2x)\cos nx}{n^2}-\dfrac{(2+n^2x-n^2x^2)\sin nx}{n^3}

and so

a_n=-\dfrac{4L\cos nL}{n^2}+\dfrac{(4-2n^2L^2)\sin nL}{n^3}

So the cosine series for f(x) periodic over an interval [-L,L] is

f_C(x)=-\dfrac{L^2}3+\displaystyle\sum_{n\ge1}\left(-\dfrac{4L\cos nL}{n^2L}+\dfrac{(4-2n^2L^2)\sin nL}{n^3L}\right)\cos nx
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A new surgical procedure is successful with probability of p. Assume that the operation is performed 5 times and the results are
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Answer:

a) P(X=5)=(5C5)(0.8)^5 (1-0.8)^{5-5}=0.32768

And we can use the following excel code: "=BINOM.DIST(5,5,0.8,FALSE)"

b) P(X=4)=(5C4)(0.6)^4 (1-0.6)^{5-4}=0.2592

And we can use the following excel code: "=BINOM.DIST(4,5,0.6,FALSE)"

c) P(X

And the excel code would be: "=BINOM.DIST(1,5,0.3,TRUE)"

d) E(X) =n*p= 5*0.5 =2.5

e) Var (X) = np(1-p) = 5*0.4*(1-0.4)=1.2

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest, on this case we know that:

X \sim Binom(n=5, p)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

Part a

For this case the value of p =0.8 and we want to find this probability:

P(X=5)=(5C5)(0.8)^5 (1-0.8)^{5-5}=0.32768

And we can use the following excel code: "=BINOM.DIST(5,5,0.8,FALSE)"

Part b

For this case the value of p =0.6 and we want this probability:

P(X=4)=(5C4)(0.6)^4 (1-0.6)^{5-4}=0.2592

And we can use the following excel code: "=BINOM.DIST(4,5,0.6,FALSE)"

Part c

The value of p assumed is 0.3. For this case we want this probability:

P(X

P(X=0)=(5C0)(0.3)^4 (1-0.3)^{5-0}=0.16807

P(X=1)=(5C1)(0.3)^4 (1-0.3)^{5-1}=0.36015

P(X

And the excel code would be: "=BINOM.DIST(1,5,0.3,TRUE)"

Part d

The expected value for the binomial distribution is given by np and since we are assuming p=0.5 we got:

E(X) =n*p= 5*0.5 =2.5

Part e

Assuming the value of p=0.4. The variance for the binomial distribution is given by:

Var (X) = np(1-p) = 5*0.4*(1-0.4)=1.2

7 0
3 years ago
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