Introductory university-level calculus, linear algebra, abstract algebra, probability, statistics, and stochastic processes.
More on the limit of functions
Get link
Facebook
X
Pinterest
Email
Other Apps
-
There are a few variations of limits.
Definition (Divergence of a function)
If the function \(f(x)\) does not converge to any value as \(x \to a\), we say that \(f(x)\) diverges as \(x \to a\). In particular, if the value of \(f(x)\) increases arbitrarily as \(x \to a\), we say that \(f(x)\) diverges to positive infinity and write
\[\lim_{x\to a}f(x) = \infty.\]
If the value of \(f(x)\) is negative and its absolute value increases arbitrarily, we say that \(f(x)\) diverges to negative infinity and write
\[\lim_{x\to a}f(x) = -\infty.\]
Example. Consider the function
\[f(x) = \frac{1}{(x - 1)^2}\]
defined on \(\mathbb{R}\setminus\{1\}\). We have
\[\lim_{x \to 1}f(x) = \infty.\]
You should verify this by drawing a graph. □
There are a few variants of the notion of limit.
Definition (Left and right limits)
We define the left limit of the function \(f(x)\) at \(x=a\) \[\lim_{x \to a -0}f(x) = \alpha\] if the following is satisfied
For any \(\varepsilon > 0\), there exists \(\delta > 0\) such that for any \(x\in\text{dom}(f)\), if \(0 < a - x < \delta\) then \(|f(x) - \alpha| < \varepsilon\)
This mean \(x\) approaches \(a\) from the left (so ``\(x < a\)'' is kept).
We define the right limit of the function \(f(x)\) at \(x=a\) \[\lim_{x \to a +0}f(x) = \alpha\] if the following is satisfied
For any \(\varepsilon > 0\), there exists \(\delta > 0\) such that for any \(x\in\text{dom}(f)\), if \(0 < x - a < \delta\) then \(|f(x) - \alpha| < \varepsilon\).
This mean \(x\) approaches \(a\) from the right (so ``\(a < x\)'' is kept).
Remark. We write \(x \to +0\) instead of \(x \to 0+0\). Similarly \(x\to -0\) rather than \(x \to 0-0\). □
Example. Consider the function
\[f(x) = \frac{x(x + 1)}{|x|}\]
defined on \(\mathbb{R}\setminus\{0\}\).
If \(x > 0\), we have
\[f(x) = \frac{x(x + 1)}{x} = x + 1\]
so that
\[\lim_{x \to +0}f(x) = 1.\]
If \(x < 0\), we have
\[f(x) = \frac{x(x + 1)}{-x} = -x - 1\]
so that
\[\lim_{x \to -0}f(x) = -1.\]
□
Example. For the function \(f(x) = \frac{1}{x}\) defined on \(\mathbb{R}\setminus\{0\}\), we have
We define the limit at \(x \to \infty\) \[\lim_{x \to \infty}f(x) = \alpha\] if the following is satisfied
For any \(\varepsilon > 0\), there exists \(\delta > 0\) such that for any \(x\in\text{dom}(f)\), if \(x > \delta\) then \(|f(x) - \alpha| < \varepsilon\).
We define the limit at \(x \to -\infty\) \[\lim_{x \to -\infty}f(x) = \alpha\] if the following is satisfied
For any \(\varepsilon > 0\), there exists \(\delta > 0\) such that for any \(x\in\text{dom}(f)\), if \(x < -\delta\) then \(|f(x) - \alpha| < \varepsilon\).
Theorem
Let \(f(x)\) be a function defined on the open interval \(I = (a, b)\) \((a < b)\) such that \(\lim_{x\to a+0}f(x) = \alpha\) \((\alpha \in\mathbb{R})\).
For a given \(c\in\mathbb{R}\), if \(f(x) \geq c\) for all \(x\in I\), then \(\alpha \geq c\).
For a given \(d\in\mathbb{R}\), if \(f(x) \leq d\) for all \(x\in I\), then \(\alpha \leq d\).
Proof. We prove only part 1 and prove it by contradiction. Part 2 is similar.
Suppose \(\alpha < c\) and let \(\varepsilon = c - \alpha > 0\). Since \(\lim_{x\to a+0}f(x) = \alpha\), we can find \(\delta > 0\) such that \(0 < x - a < \delta\) implies \(|f(x) - \alpha| < \varepsilon\). But then \(f(x) < \alpha + \varepsilon = c\), which is a contradiction. ■
Theorem
Let \(f(x)\) be a function defined on an interval that includes \(x= a\).
If \(\lim_{x\to a}f(x) = \alpha\) exists, then the corresponding left and right limits also exist and \(\lim_{x\to a+0}f(x) = \lim_{x\to a-0}f(x) = \alpha\).
If both \(\lim_{x\to a+0}f(x)\) and \(\lim_{x\to a-0}f(x)\) exist and \(\lim_{x\to a+0}f(x) = \lim_{x\to a-0}f(x) = \alpha\), then \(\lim_{x\to a}f(x) = \alpha\).
In order to show \(e = \lim_{x\to 0}(1 + x)^{\frac{1}{x}}\), we need to show \(e = \lim_{x\to +0}(1 + x)^{\frac{1}{x}}\) and \(e = \lim_{x\to -0}(1 + x)^{\frac{1}{x}}\). By changing variables \(x = \frac{1}{y}\), \(\lim_{x\to +0}(1 + x)^{\frac{1}{x}} = \lim_{y\to\infty}\left(1 + \frac{1}{y}\right)^y\) and \(\lim_{x\to -0}(1 + x)^{\frac{1}{x}} = \lim_{y\to -\infty}\left(1 + \frac{1}{y}\right)^y\). Furthermore, by changing variables \(y = -t\), assuming \(t > 1\), we have
Since \(\lim_{t\to\infty}\left(1 + \frac{1}{t-1}\right) = 1\), we can see that we only need to show \(e = \lim_{x\to\infty}\left(1 + \frac{1}{x}\right)^{x}\).
For any \(x \geq 1\), we can find \(n\in\mathbb{N}\) such that
A similar result hold for the convergence of functions.
Theorem (Cauchy criterion for the right limit of a function)
Let \(f(x)\) be a function on \(I = (a,b]\). The right limit \(\lim_{x\to a+0}f(x)\) exists if and only if the following condition is satisfied:
For any \(\varepsilon > 0\), there exists a \(\delta > 0\) such that for all \(x, y\in I\), if \(a < x < a + \delta\) and \(a < y < a + \delta\) then \(|f(x) - f(y)| < \varepsilon\). (\(\star\))
Remark. Similarly, the left limit \(\lim_{x\to b-0}f(x)\) exists if and only if
For any \(\varepsilon > 0\), there exists a \(\delta > 0\) such that for all \(x, y\in I\), if \(b - \delta < x < b\) and \(b -\delta < y < b\) then \(|f(x) - f(y)| < \varepsilon\).
The limit \(\lim_{x\to\infty}f(x)\) exists if and only if
For any \(\varepsilon > 0\), there exists a \(\delta > 0\) such that for all \(x, y\in I\), if \(x > \delta\) and \(y > \delta\) then \(|f(x) - f(y)| < \varepsilon\).
The limit \(\lim_{x\to-\infty}f(x)\) exists if and only if
For any \(\varepsilon > 0\), there exists a \(\delta > 0\) such that for all \(x, y\in I\), if \(x < -\delta\) and \(y < -\delta\) then \(|f(x) - f(y)| < \varepsilon\).
□
Proof. (\(\Rightarrow\)) Suppose \(\lim_{x\to a+0}f(x)\) exists. Then there exists some real number \(\alpha\) such that \(\lim_{x\to a+0}f(x) = \alpha\). For any \(\varepsilon > 0\), there exists \(\delta > 0\) such that, for all \(x\in I\), if \(a < x < a + \delta\) then \(|f(x) - \alpha| < \frac{\varepsilon}{2}\). Let \(x\) and \(y\) be arbitrary real numbers such that \(a < x < a + \delta\) and \(a < y < a + \delta\). Then
(\(\Leftarrow\)) Suppose (\(\star\)) is satisfied. Let us define a sequence \(\{a_n\}\) by \(a_n = a + \frac{b-a}{n}\), \(n\in\mathbb{N}\). For any \(\varepsilon > 0\), choose a \(\delta > 0\) satisfying (\(\star\)). By Archimedes' principle, we can find an \(N\in \mathbb{N}\) such that \(N\delta > b - a\). Then for any \(n \geq N\), \(a_n - a = \frac{b-a}{n} < \frac{b-a}{N} < \delta\) so that \(a < a_n < a + \delta\). Therefore by (\(\star\)), for all \(n, m > N\), \(|f(a_n) - f(a_m)| < \varepsilon\) so that \(\{f(a_n)\}\) is a Cauchy sequence, and hence this sequence converges: \(\lim_{n\to\infty}f(a_n) = \alpha\) for some \(\alpha \in \mathbb{R}\).
Now, let us show that \(\lim_{x\to a+0}f(x) = \alpha\). By (\(\star\)), for any \(\varepsilon > 0\), we can find \(\delta > 0\) such that for all \(x,y \in (a, a+\delta)\), \(|f(x) - f(y)|< \frac{\varepsilon}{2}\). Also, since \(\lim_{n\to\infty}f(a_n) = \alpha\), we can find an \(N\in\mathbb{N}\) such that for all \(n \geq N\), \(|f(a_n) - \alpha| < \frac{\varepsilon}{2}\). If \(a < x < a + \delta\), choose \(n \geq N\) such that \(a < a_n < a+\delta\). Then
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 \(n_0\) cells at time \(t = 0\). Assume that the probability that any individual cell divides in the time interval \((t, t + \delta t)\) is proportional to \(\delta t\) for small \(\delta t\). Further assume that each cell division is independent of others. Let \(\lambda\) be the birth rate. The probability of a cell division for a population of \(n\) cells during \(\delta t\) is \(\lambda n \delta t\). We assume that the probability that two or more births take place in the time interval \(\delta t\) is \(o(\delta t)\). That is, it can be ignored. Consequently, the probability that no cell divides during \(\delta t\) is \(1 - \lambda n \delta t - o(\delta t)\). Note that this process is an example of the Markov chain with states \({n_0}, {n_0 + 1}, {n_0 + 2}...
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 \(\top\) and \(\bot\). 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 \(P\)...
Defining sets Set theory is the foundation of modern mathematics. Every mathematical notion is built on some set. What is a set? This is a very deep question beyond the scope of this lecture. Instead, we give the following very rough, informal definition. Definition (very informal) A set is a collection of distinct objects. Objects of a set are called elements of the set. To denote a set, we can enumerate its elements, enclosed by curly brackets. For example, \[\{1, 2, 3\}\] denotes a set consisting of three elements that are 1, 2, and 3. We may give a set a name as in \[S = \{1, 2, 3\},\] and say, for example, "the set \(S\) contains the elements 1, 2, and 3. Suppose \(S\) is any set. To denote that an object \(x\) is an element of \(S\), we write \[x \in S\] and say "\(x\) is in \(S\)" and so on. To denote that \(x\) is not in \(S\), we write \[x \not\in S.\] It is important that the elements of a set are distinct. For example, \[\{a, a, b, c\}\] is not a set beca...
Comments
Post a Comment