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il63 [147K]
3 years ago
10

Xe^(-x^2/128) absolute max and absolute min

Mathematics
1 answer:
adoni [48]3 years ago
6 0
f(x)=xe^{-x^2/128}
\implies f'(x)=e^{-x^2/128}+x\left(-\dfrac{2x}{128}\right)e^{-x^2/128}=\left(1-\dfrac1{64}x^2\right)e^{-x^2/128}

Extrema can occur when the derivative is zero or undefined.

\left(1-\dfrac1{64}x^2\right)e^{-x^2/128}=0\implies 1-\dfrac1{64}x^2=0\implies x^2=64\implies x=\pm8

Maxima occur where the first derivative is zero and the second derivative is negative; minima where the second derivative is positive. You have

f''(x)=-\dfrac1{32}xe^{-x^2/128}+\left(1-\dfrac1{64}x^2\right)\left(-\dfrac{2x}{128}\right)e^{-x^2/128}=\left(-\dfrac3{64}x+\dfrac1{4096}x^3\right)e^{-x^2/128}

At the critical points, you get

f''(-8)=\dfrac1{4\sqrt e}>0
f''(8)=-\dfrac1{4\sqrt e}

So you have a minimum at \left(-8,-\dfrac8{\sqrt e}\right) and a maximum at \left(8,\dfrac8{\sqrt e}\right).

Meanwhile, as x\to\pm\infty, it's clear that f(x)\to0, so these extrema are absolute on the function's domain.
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Suppose the variable x is represented by a standard normal distribution. What is the probability of x > 0.3 ? Please specify
uysha [10]

Answer: 0.38

Step-by-step explanation:

Since the variable x is represented by a standard normal distribution, the probability of x > 0.3 will be calculated thus:

P(x > 0.3)

Then, we will use a standard normal table

P(z > 0.3)

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sergejj [24]

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Step-by-step explanation:

3 0
3 years ago
What is the correct answer?
Tasya [4]

Given:

The function is

f(x)=(x+3)^2(x-5)^6

To find:

The zeros of the given function.

Solution:

The general form of polynomial is

P(x)=a(x-c_1)^{m_1}(x-c_2)^{m_2}...(x-c_n)^{m_n}       ...(i)

where, a is a constant, c_1,c_2,...,c_n are zeros of respective multiplicities m_1,m_2,...,m_n.

We have,

f(x)=(x+3)^2(x-5)^6

On comparing this with (i), we get

c_1=-3,m_1=2

c_2=5,m_2=6

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Therefore, the correct option is B.

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