Chapter 29: Problem 11
Evaluate the integrals. $$ \int \frac{3 x^{2}+3}{\left(x^{2}-1\right)(x-2)} d x $$
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Chapter 29: Problem 11
Evaluate the integrals. $$ \int \frac{3 x^{2}+3}{\left(x^{2}-1\right)(x-2)} d x $$
These are the key concepts you need to understand to accurately answer the question.
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Use the comparison theorem to determine whether the integral is convergent or divergent. \(\int_{1}^{\infty} \frac{\cos x}{x^{2}} d x\)
Determine whether the integral is convergent or divergent. Evaluate all convergent integrals. Be efficient. If \(\lim _{x \rightarrow \infty} \neq 0\), then \(\int_{a}^{\infty} f(x) d x\) is divergent. \(\int_{1}^{\infty} \frac{1}{x(x+1)} d x\)
Evaluate the integral. In many cases it will be advantageous to begin by doing a substitution. For example, in Problem 19, let \(w=\sqrt{x}, w^{2}=x ;\) then \(2 w d w=d x .\) This eliminates \(\sqrt{x}\) by replacing \(x\) with a perfect square. $$ \int_{1}^{e} \frac{\ln x}{x} d x $$
Determine whether the integral is convergent or divergent. Evaluate all convergent integrals. Be efficient. If \(\lim _{x \rightarrow \infty} \neq 0\), then \(\int_{a}^{\infty} f(x) d x\) is divergent. \(\int_{0}^{\infty} \frac{x^{2}+3}{x+1} d x\)
As mentioned at the beginning of this section, statisticians use probability density functions to determine the probability of a random variable falling in a certain interval. If \(p(x)\) is a probability density function, then \(p(x) \geq 0\) for all \(x\) and \(\int_{-\infty}^{\infty} p(x) d x=1 .\) A probability density function of the form \(p(x)=\left\\{\begin{array}{ll}\lambda e^{-\lambda x} & \text { for } x \geq 0, \\ 0 & \text { for } x<0\end{array}\right.\) where \(\lambda\) is a positive constant describes what is known as an exponential distribution. Verify that $$ \int_{-\infty}^{\infty} p(x) d x=1 $$
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