Infinite Sequences
These notes cover sequences. They assume familiarity with sequences.
Properties of Sequences
A few examples of sequences:
example.
example.
Convergence
Historical Background
To better understand convergence â and ultimately, limits â it's best to put these ideas in context. The notion of convergence is all about control. What we want to be able to say, is: Given two real numbers and after some point the distance between and is so small, even if Why do we need this control? Think about the sequence As gets extremely large, will get smaller and smaller. At some point, we get some number comprising so many zeros that we'd sooner die writing them before ever seeing the 1. We want to be able to say that converges to That is, as gets very large (formally, "approaches infinity"), converges to 0.
It seems intuitive to say that converges to infinity, since we can see that gets smaller and smaller as gets larger and larger. But in mathematics, a thousand experiments do not make a theorem, nor do a million. The only way to firmly establish that converges to 0 is to prove it.
Now, why do we need sequences to converge? One reason is that without the notion of convergence, we'd never know with certainty if our approximations of functions are even remotely correct. We can never completely express but we can approximate it with a function, assuming the function converges to But there are other reasons. Some mathematical statements are completely false if we don't have the notion of convergence. The sum has the closed form fomula Without the notion of convergence, we'd have which is most definitely not what we want. Another reason is Zeno's Paradox: Suppose and are separated by 10 meters. To get from to we must walk 5 meters. Then we must walk 2.5 meters. Then we must walk another 1.25, and so on. We never get to We can solve these problems by defining the notion of convergence.1.
When Newton and Leibniz began working on calculus, there was no notion of convergence. Instead, there were infinitesimals â numbers that lie between any two real numbers, but aren't real numbers themselves. For example, an infinitesimal lies between and 1, but is not a real number. Almost immediately, we can see how this is difficult to think about. Mathematicians like Newton and Leibniz just "knew" when an infinitesimal would appear and disappear in their derivations. It was intuition that guided them, rather than some rigorous notion. The definition of convergence is aimed at making this idea more rigorous.
Formal Definition
If we think about the definition of a limit, the key requirement is "small." But the word "small" varies in meaning, depending on the listener and context. A thousand U.S. dollars might be small to a billionaire, but it certainly isn't small to those in abject poverty. Eight miles might seem small to marathon runners, but not to those who only run once every few years. Accordingly, we need a definition that appeases to everyone's idea of "small." Let's begin by defining some notation.
distance. Given we define the notation
closeness. Given and we say that and are close if and only if If and are close, we write Otherwise, we write
convergence. Let be a real number, let be a real number, and let be a sequence of real numbers. We write iff for all it is true that We say that a sequence is eventually close to iff there exists an such that We say that converges to iff is eventually close to
It's helpful to view different implementations of this definition. Below is the standard definition found in most textbooks:
convergence. We say that a sequence converges to a number if, and only if, for every there exists an index such that, given any index the relation is true.
Let's be very clear about what each of these variables are. What is is a sequence. It takes natural number indices, and pairs them up with real numbers â it establishes a specific ordering. What is is a real number. It is not a term of the sequence (otherwise we wouldn't need to look for a limit in the first place). What is is an index. What is is also an index. What is is a real number. What is is a term of the sequence. What does it mean when converges? That there's a threshold index where all sequence's terms (starting at ) map are real numbers -close to So, what does this tell us? If we want to prove that a sequence is divergent, we want to pick a so small that
example. The sequence is divergent. Assume is convergent. If is convergent, then converges to some That is, the terms of get arbitrarily close to Fix Then we can choose an such that:
Choose Then and since the former will yield 1, and the latter will yield -1 (the only two terms of ). It follows that and From the definition of the absolute value, we have
Transpose to and we get Transpose to and we get We have a contradiction. cannot both be less than 0 and greater than 0. Our initial assumption is false, so must be divergent.
Limit Definition
definition. Let be a real number, and let be a real sequence starting at index If converges to we call the limit of write and say that is convergent. If does not converge to any real number, we write and say that is divergent.
Uniqueness of Limits
limit uniqueness theorem. Let be a convergent real sequence and let It follows that and if, and only if, That is,
proof. Suppose and and Since let Because it follows that by definition. This implies that there exists an such that for all Likewise, since it follows that that there exists an such that for all If then and Given that we have This condtradicts the fact that per the definition of convergence. Hence, it cannot be true that a sequence of reals converges to and with Therefore, and if, and only if,
The limit uniqueness theorem has a particularly useful implication.
corollary. All real sequences have, at most, one limit
This stems from the fact that a real sequence will either diverge (no limit exists) or converge (a limit exists). And by the limit uniqueness theorem, if a real sequence does converge, it has exactly one limit
theorem. If a sequence is convergent, then is a Cauchy sequence.
proof. First, we know that every Cauchy sequence converges. Suppose converges to Then there exists an such that, for all and we have
Bounded Sequences
The sequence isn't convergent, but it is bounded.
sequence bounded above. A sequence is bounded above if, and only if, there exists a constant such that, for all indices the relation is true. To denote the fact that is bounded, we write
sequence bounded below. A sequence is bounded below if, and only if, there exists a constant such that, for all indices the relation is true. To denote the fact that is bounded below, we write
bounded sequence. A sequence is bounded if, and only if, is bounded above and bounded below. To denote the fact that is bounded, we write
Monotonicity
monotonicity. Let be a sequence. For all We say that is strictly increasing iff that is increasing iff that is strictly decreasing iff that is decreasing iff If is increasing or decreasing or both, then is monotonic. If is neither increasing nor decreasing, we say that is non-monotonic.
Subsequences
subsequence. Let and be sequences in We say that is a subsequence of if there exists a strictly increasing function such that, for every it follows that where
Sandwich Theorem
Also known as the Squeeze Theorem, the Sandwich Theorem allows us to determine if a given sequence converges, using sequences that we already know as convergent.
sandwich theorem. Let and be sequences, with and If then
The Bolzano-Weierstrass Theorem
A key theorem in real analysis is the Bolzano-Weierstrass Theorem. In short: Every bounded sequence of real numbers contains a convergent subsequence.
bolzano-weierstrass theorem. Let be a sequence in If is bounded, then has a convergent subsequence.
Footnotes
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Whether arguments built on the definition of convergence solve Zeno's paradox is not a settled matter, although most mathematicians and philosophers have settled on a theory based on convergence, called the standard solution. Doubts remain because of the solution's implications: Finite distances can contain an infinite number of points; a whole may be smaller than one of its parts; the sum of an infinite series can be finite; for each place along a line, there may not be a next place; and several others. Note further that the standard solution to Zeno's paradox is based on axioms that we decided on. The solution can be broken down by attacking the consistency of those very axioms. This is a topic left to the notes on logic. âŠ