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IrinaVladis [17]
2 years ago
13

Find the indefinite integral 1/x^2-8x+39 dx

Mathematics
1 answer:
kondaur [170]2 years ago
7 0

Complete the square in the denominator:

x^2 - 8x + 39 = x^2 - 8x + 16 + 23 = (x-4)^2 + 23

Then in the integral, substitute x - 4 = \sqrt{23} \tan(t) and dx = \sqrt{23} \sec^2(t) \, dt.

\displaystyle \int \frac{dx}{x^2 - 8x + 39} = \int \frac{\sqrt{23} \sec^2(t) \, dt}{\left(\sqrt{23}\tan(t)\right)^2 + 23} = \frac1{\sqrt{23}} \int \frac{\sec^2(t)}{\tan^2(t)+1} \, dt

Recall that tan²(x) + 1 = sec²(x) for all x (such that cos(x) ≠ 0, anyway). Then the integral reduces to the trival

\displaystyle \frac1{\sqrt{23}} \int dt = \frac1{\sqrt{23}} t + C

and putting the result back in terms of x, we get

\displaystyle \int \frac{dx}{x^2 - 8x + 39} = \boxed{\frac1{\sqrt{23}} \tan^{-1}\left(\frac{x-4}{\sqrt{23}}\right) + C}

If you want to proceed via partial fractions, there's more work involved. We can use the complete-square expression to easily find the roots of the denominator:

(x-4)^2 + 23 = 0 \implies (x-4)^2 = -23 \implies x - 4 = \pm i \sqrt{23} \implies x = 4 \pm i \sqrt{23}

Then we factorize

x^2 - 8x + 39 = \left(x - 4 - i\sqrt{23}\right) \left(x - 4 + i \sqrt{23}\right)

and the PFD would be

\dfrac1{x^2-8x+39} = \dfrac a{x - 4 - i\sqrt{23}} + \dfrac b{x - 4 + i\sqrt{23}}

Solve for the coefficients:

1 = a\left(x - 4 + i\sqrt{23}\right) + b\left(x - 4 - i\sqrt{23}\right)

\implies \begin{cases}a+b = 0 \\ \left(-4+i\sqrt{23}\right) a - \left(4+i\sqrt{23}\right) b = 1 \end{cases} \implies a = \dfrac i{2\sqrt{23}}, b=-\dfrac i{2\sqrt{23}}

Then the integral is

\displaystyle \int \frac{dx}{x^2-8x+39} = \dfrac i{2\sqrt{23}} \ln\left|x - 4 - i\sqrt{23}\right| - \dfrac i{2\sqrt{23}} \ln\left|x - 4 + i\sqrt{23}\right| + C

and we can condense the logarithms to

\displaystyle \int \frac{dx}{x^2-8x+39} = \dfrac i{2\sqrt{23}} \ln\dfrac{\left|x - 4 - i\sqrt{23}}{\left|x - 4 + i\sqrt{23}\right|} + C

Now we fight the urge to be discouraged by the presence of imaginary numbers in this result. The two antiderivatives are one and the same!

For any complex number z, the following identity holds:

\tan^{-1}(z) = -\dfrac i2 \ln \left(\dfrac{i-z}{i+z}\right)

With some rewriting, we have for instance

\dfrac i{2\sqrt{23}} \ln\dfrac{\left|x - 4 - i\sqrt{23}\right|}{\left|x - 4 + i\sqrt{23}\right|} = -\dfrac1{\sqrt{23}} \times -\dfrac i2 \ln \left|\dfrac{\frac{x-4}{\sqrt{23}} - i}{\frac{x-4}{\sqrt{23}} + i}\right| \\\\ = -\dfrac1{\sqrt{23}} \tan^{-1}\left(-\dfrac{x-4}{\sqrt{23}}\right) \\\\ = \dfrac1{\sqrt{23}} \tan^{-1}\left(\dfrac{x-4}{\sqrt{23}}\right)

Admittedly, I skip over a bunch of details, but the point is that both methods end with the same result, but the first method is much simpler to  follow and execute, in my opinion.

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Step-by-step explanation:

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f(x) = 10x + 2

Replacing f(x) with y

y = 10x + 2

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The score on an exam from a certain MAT 112 class, X, is normally distributed with μ=78.1 and σ=10.8.
salantis [7]

a) X

b) 0.1539

c) 0.1539

d) 0.6922

Step-by-step explanation:

a)

In this problem, the score on the exam is normally distributed with the following parameters:

\mu=78.1 (mean)

\sigma = 10.8 (standard deviation)

We call X the name of the variable (the score obtained in the exam).

Therefore, the event "a student obtains a score less than 67.1) means that the variable X has a value less than 67.1. Mathematically, this means that we are asking for:

X

And the probability for this to occur can be written as:

p(X

b)

To find the probability of X to be less than 67.1, we have to calculate the area under the standardized normal distribution (so, with mean 0 and standard deviation 1) between z=-\infty and z=Z, where Z is the z-score corresponding to X = 67.1 on the s tandardized normal distribution.

The z-score corresponding to 67.1 is:

Z=\frac{67.1-\mu}{\sigma}=\frac{67.1-78.1}{10.8}=-1.02

Therefore, the probability that X < 67.1 is equal to the probability that z < -1.02 on the standardized normal distribution:

p(X

And by looking at the z-score tables, we find that this probability is:

p(z

And so,

p(X

c)

Here we want to find the probability that a randomly chosen score is greater than 89.1, so

p(X>89.1)

First of all, we have to calculate the z-score corresponding to this value of X, which is:

Z=\frac{89.1-\mu}{\sigma}=\frac{89.1-78.1}{10.8}=1.02

Then we notice that the z-score tables give only the area on the left of the values on the left of the mean (0), so we have to use the following symmetry property:

p(z>1.02) =p(z

Because the normal distribution is symmetric.

But from part b) we know that

p(z

Therefore:

p(X>89.1)=p(z>1.02)=0.1539

d)

Here we want to find the probability that the randomly chosen score is between 67.1 and 89.1, which can be written as

p(67.1

Or also as

p(67.1

Since the overall probability under the whole distribution must be 1.

From part b) and c) we know that:

p(X

p(X>89.1)=0.1539

Therefore, here we find immediately than:

p(67.1

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