Introductory university-level calculus, linear algebra, abstract algebra, probability, statistics, and stochastic processes.
Elementary functions
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Below we list some frequently used elementary functions.
Algebraic functions
Exponential functions
Logarithm
Trigonometric functions
Inverse trigonometric functions
Hyperbolic functions
Algebraic functions
A polynomial of
where is a continuous function on . Such functions are called polynomial functions.
If and are polynomial functions such that , the function defined by
is continuous on . Such functions are called rational functions. If then so any polynomial functions are also rational functions (i.e., polynomial functions are a special case of rational functions).
We can ``algebraically'' define functions other than polynomial or rational functions. For example, is not a rational function, but satisfies an algebraic equality
Definition (Algebraic function)
The continuous function is said to be an algebraic function if there exist polynomial functions such that the following identity is satisfied:
Example. Rational functions are a special case of algebraic functions. □
Example. Let us prove that the function defined on is continuous.
First, consider the case when . For all , let us define . Then, if and ,
Next, consider the case when . For any , take . If , then . Thus, . Therefore, is continuous at all . □
Exponential functions
Definition (Exponential function)
Let be a real number. The function defined by
is called an exponential function with base . In particular, when we simply say the exponential function, the base is (Napier's constant).
Exponential functions are continuous everywhere on . If , then is a strictly increasing function. If , then is a strictly decreasing function. If , then for all .
But what do we mean by , exactly? Review how we introduced through .
First, we provide the following theorem without proof.
Theorem
Let be a continuous and strictly monotone increasing function defined on an interval . Then has the inverse which is also continuous and strictly monotone increasing.
Let be a continuous and strictly monotone decreasing function defined on an interval . Then has the inverse which is also continuous and strictly monotone decreasing.
Remark. If is a strictly monotone function (either increasing or decreasing) on an interval , then the function is a bijection from to . For every bijection, there exists an inverse map that is also bijective. □
Using this theorem, we can see that for each exponential function , there is its inverse function which we define as the logarithmic function with base denoted . When the base is (Napier's constant), , this is the logarithm we have defined earlier and we often omit the base to write simply or .
Theorem
We have the following limits.
Proof.
Let . Then As , so using the result of Part 1.
■
Trigonometric functions
We already know and . The tangent function is defined as
Quiz. Why do we exclude the points , from the domain of the tangent function? □
and have the fundamental period of whereas has the fundamental period of . That is, for ,
We give here the following result without proof (for the moment):
Example.
Inverse trigonometric functions
Since , , and are periodic functions (and hence not monotone), they don't have inverse functions. Nevertheless, by restricting their domains, we may define the inverse functions.
is strictly monotone increasing on the closed interval . Therefore it has an inverse function on this domain, which we define as . In other words, we consider as a function
so its inverse function is
Similarly, we restrict the domain of to to define its inverse, which we call :
and
We restrict the domain of to the open interval to define its inverse, which we call :
and
Note that these definitions of inverse trigonometric functions are not unique. We could restrict the domains of the trigonometric functions differently. For example, we could restrict the domain of as
to define
Example. Let us find the value of . First note that (why?) and . Therefore . □
Hyperbolic functions
The hyperbolic cosine, hyperbolic sine, and hyperbolictangent are defined, respectively, by
The domain of these functions is .
Why are their names similar to trigonometric functions? Note that
Recall that the equation represents the unit hyperbola on .
Defining the birth process Consider a colony of bacteria that never dies. We study the following process known as the birth process , also known as the Yule process . The colony starts with cells at time . Assume that the probability that any individual cell divides in the time interval is proportional to for small . Further assume that each cell division is independent of others. Let be the birth rate. The probability of a cell division for a population of cells during is . We assume that the probability that two or more births take place in the time interval is . That is, it can be ignored. Consequently, the probability that no cell divides during is . Note that this process is an example of the Markov chain with states \({n_0}, {n_0 + 1}, {n_0 + 2}...
Generational growth Consider the following scenario (see the figure below): A single individual (cell, organism, etc.) produces descendants with probability , independently of other individuals. The probability of this reproduction, , is known. That individual produces no further descendants after the first (if any) reproduction. These descendants each produce further descendants at the next subsequent time with the same probabilities. This process carries on, creating successive generations. Figure 1. An example of the branching process. Let be the random variable representing the population size (number of individuals) of generation . In the above figure, we have , , , , We shall assume as the initial condition. Ideally, our goal would be to find how the population size grows through generations, that is, to find the probability for e...
In mathematics, we must prove (almost) everything and the proofs must be done logically and rigorously. Therefore, we need some understanding of basic logic. Here, I will informally explain some rudimentary formal logic. Definitions (Proposition): A proposition is a statement that is either true or false. "True" and "false" are called the truth values, and are often denoted and . Here is an example. "Dr. Akira teaches at UBD." is a statement that is either true or false (we understand the existence of Dr. Akira and UBD), hence a proposition. The following statement is also a proposition, although we don't know if it's true or false (yet): Any even number greater than or equal to 4 is equal to a sum of two primes. See also: Goldbach's conjecture Next, we define several operations on propositions. Note that propositions combined with these operations are again propositions. (Conjunction, logical "and"): Let ...
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