The theory, as well as the computational practice, of solving systems of linear equations is relevant in a huge list of real-life settings. In this section we just outline the basic solution methods, without paying due attention to bothering issues such as the existence and uniqueness of a solution, or numerical precision. A linear equation… Continue reading SOLVING SYSTEMS OF LINEAR EQUATIONS
Month: February 2023
A MOTIVATING EXAMPLE: BINOMIAL OPTION PRICING
Options are financial derivatives that have gained importance, as well as a bad reputation, over the years. In Section 1.3.1 we considered forward contracts, another type of derivative. With a forward contract, two parties agree on exchanging an asset or a commodity, called the underlying asset, at a prescribed time in the future, for a fixed price determined… Continue reading A MOTIVATING EXAMPLE: BINOMIAL OPTION PRICING
A business view of definite integral
In this section we try to further motivate the use of definite integral, at least conceptually, for business management problems. To do so, we use the EOQ model of Section 2.1 once again. There, we have claimed that the contribution of inventory holding cost to average total cost per unit time is In the reasoning, a key… Continue reading A business view of definite integral
Improper integrals
So far, we have considered the integral of a continuous function on a bounded interval. The idea can be generalized to unbounded intervals and to functions featuring certain types of discontinuity. In fact, the integral might not exist, because the function has pathological behavior; in other cases, it could go to infinity, which may well… Continue reading Improper integrals
Calculating definite integrals
Using the definition above to compute an integral is cumbersome, to say the least. It may work in some simple cases, but we certainly need something more handy. Luckily, the following theorem, which really deserves the name fundamental,27 provides us with a practical way to compute definite integrals. THEOREM 2.22 (Fundamental theorem of calculus) Let F(x) be a function… Continue reading Calculating definite integrals
Motivation: definite integrals as an area
Consider a function f on interval [a, b]. If the function assumes nonnegative values on that interval, it will define a region below its graph; this is illustrated as the shaded region in Fig. 2.31. Now imagine that we are interested in the area of that region. If the function were constant or linear, we would get the… Continue reading Motivation: definite integrals as an area
DEFINITE INTEGRALS
The last section of this chapter deals with definite integrals. The concept of integral plays a fundamental role in calculus and applied mathematics and, as we shall see, it is in a sense the opposite operation with respect to taking derivatives. In the book, we use definite integrals essentially to deal with continuous random variables… Continue reading DEFINITE INTEGRALS
SEQUENCES AND SERIES
Series are another important topic in classical calculus. They have limited use in the remainder, so we will offer a very limited treatment, covering what is strictly necessary. To motivate the study of series, let us consider once again the price of a fixed-coupon bond, with coupon C and face value F, maturing at time T. If we discount… Continue reading SEQUENCES AND SERIES
An application to economics: optimal pricing
One of the most fruitful application fields of quantitative methods is revenue management. Revenue management is actually a group of techniques that can be applied in quite diverse settings, such as pricing of aircraft seats or perishable products. In this section we consider an idealized case in which a manufacturer has to find an optimal price… Continue reading An application to economics: optimal pricing
The role of convexity
Convexity and concavity play a major role in optimization. Consider a one-dimensional optimization problem, ; this problem is unconstrained, since x can be any point on the real line. Furthermore, assume that f is convex on the whole real line and that x* is a stationarity point. Property 2.18 applies to x*: for any , but this implies that x* is a global minimizer. We have proved the following theorem.… Continue reading The role of convexity