🔬 Tutorial problems kappa#

Note

This problems are designed to help you practice the concepts covered in the lectures. Not all problems may be covered in the tutorial, those left are for additional practice. The symbol 🍹 indicates additional problems.

\(\kappa\).1#

In the manufacture of a product, the marginal cost of producing \(x\) units is \(C'(x)\) and fixed costs are \(C(0)\). Find the total cost function \(C(x)\) when

(a) \(C'(x) = 3x + 4\) and \(C(0) = 40\)

(b) \(C'(x) = ax + b\) and \(C(0) = C_0\)

Source: SHSC Exercise 9.1.2, page 324

\(\kappa\).2#

Find the following integrals:

(a) \(\displaystyle \int \frac{(y - 2)^2}{\sqrt{y}} \mathop{dy}\)

(b) \(\displaystyle \int \frac{x^3}{x + 1} \mathop{dx}\)

(c) \(\displaystyle \int x(1 + x^2)^{15} \mathop{dx}\)

Hints:

  • In part (a), first expand \((y - 2)^2\), and then divide each term by \(\sqrt{y}\)

  • In part (b), note that \(x^3 = x^2 - x +1 -\frac{1}{x+1}\) (this is polynomial division as in Section 4.7 of SHSC)

  • In part (c), what is the derivative of \((1 + x^2)^{16}\)?

Source: SHSC Exercise 9.1.4, page 324

\(\kappa\).3#

Find the general form of a function \(f\) whose second derivative is \(x^2\).

If we require in addition that \(f(0) = 1\) and \(f'(0) = -1\), what is \(f(x)\)?

Source: SHSC Exercise 9.1.10, page 325

\(\kappa\).4#

Find the following integrals:

(a) \(\displaystyle \int_{1}^{\infty} \frac{5}{x^5} \mathop{dx}\)

(b) \(\displaystyle \int_{0}^{1} x^3(1 + x^4)^4 \mathop{dx}\)

(c) \(\displaystyle \int_{0}^{\infty} \frac{-5t}{e^t} \mathop{dt}\)

(d) \(\displaystyle \int_{1}^{e} (\ln x)^2 \mathop{dx}\)

(e) \(\displaystyle \int_{0}^{2} x^2 \sqrt{x^3 + 1} \mathop{dx}\)

(f) \(\displaystyle \int_{-\infty}^{0} \frac{e^{3z}}{e^{3z} + 5} \mathop{dz}\)

(g) \(\displaystyle \int_{1/2}^{e/2} x^3 (\ln 2x) \mathop{dx}\)

(h) \(\displaystyle \int_{1}^{\infty} \frac{e^{-\sqrt{x}}}{\sqrt{x}} \mathop{dx}\)

Source: SHSC Ch 9 Review Exercise 4, page 372

\(\kappa\).5#

Compute the area bounded by the graph of \(f(x) = \frac{1}{2}(e^x + e^{-x})\), the \(x\)-axis, and the two lines \(x = -1\) and \(x = 1\).

Source: SHSC Exercise 9.2.4, page 331

\(\kappa\).6#

Example 9.7.1 in SHSC tells us that the exponential distribution in statistics is defined by the density function \(f(x) = \lambda e^{-\lambda x}\), where \(x \geq 0\) and \(\lambda\) is a positive constant.

We now wish to find the following:

(a) \(\displaystyle \int_{0}^{\infty} x \lambda e^{-\lambda x} \mathop{dx}\)

(b) \(\displaystyle \int_{0}^{\infty} (x - 1/\lambda)^2 \lambda e^{-\lambda x} \mathop{dx}\)

(c) \(\displaystyle \int_{0}^{\infty} (x - 1/\lambda)^3 \lambda e^{-\lambda x} \mathop{dx}\)

The three numbers you obtain are called respectively the expectation, the variance, and the third central moment of the exponential distribution.

Source: SHSC Exercise 9.7.3, page 358