Introductory university-level calculus, linear algebra, abstract algebra, probability, statistics, and stochastic processes.
Series: Introduction
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Given a sequence , the expression
is called a series (or infinite series). This expression may or may not have value. At this point, it is purely formal. Note that the order of addition matters: We first add and , to the result of which we add , to the result of which we add , and so on (Not something like we first add and , then add , and so on). We will see, however, that for a special class of series (the positive term series), the order of addition does not matter if the series converges.
Example. The sum of a geometric progression , that is, is called a geometric series. It is understood that including the case when . □
Given a series and a number , the sum
is called the -th partial sum. We may define a new sequence , that is,
This sequence is called the partial sum sequence of the series . If the partial sum sequence converges, the series is said to have a sum or to converge. In this case, if , then the value of the series is denoted as , that is,
Example. Consider the geometric series . We have
Thus, the series has a sum when , and then the sum is
□
Theorem (Linearity of sums)
Suppose the series and have sums. For any constants and , has a sum and
Proof. Recall the linearity of limits: . The rest is exercise. ■
It should be also clear that the series has a sum if and only if its partial sum sequence is a Cauchy sequence, that is,
For any , there exists an such that, for all , if , then .
In the above condition, if , then , which implies that the sequence converges to 0. Thus, we have just proved the following theorem.
Theorem (Necessary condition for convergence of series)
If the series has a sum, then the sequence converges to 0.
However, the converse of this theorem does not necessarily hold, as the next example shows.
Example. Consider the harmonic sequence . Clearly, . On the other hand,
Thus, the series diverges to . □
Positive term series
In a finite sum, the result of addition does not depend on the order of addition. In other words, the commutative law holds: .
In a series involving a sum of infinitely many terms, the commutative law may not apply (i.e., the result may depend on the order of addition).
To see why we first consider positive term series.
Definition (Positive term series)
The series is said to be a positive term series if for all .
Remark. . □
The partial sum sequence of a positive term series is clearly monotone increasing. If is bounded above, then the series has a sum, according to the monotone convergence theorem.
Example. The series has a sum if . This can be shown as follows. Let be any natural number. If , then
Therefore, the series is bounded above by , and hence it has a sum. □
Theorem (Converging positive term series can be summed in any order)
Suppose the positive term series has a sum. Let us arbitrarily permute the index of the sequence to define another sequence . Then the series also has a sum, and its value is the same as the original sum. That is,
Proof. Let . For each , consider the first terms in the series : . Let us define . Then, all of are present among so that
This implies that the series is bounded above (by ), and hence it has a sum. Let . Then .
Note that the terms in the original series may be regarded as a permutation of the terms in the series . Therefore, applying the same argument as above, it follows that . Thus, . ■
Definition (Dominating series)
Let be a positive term series. Another series is said to be a dominating series of if it has a sum and for all .
Theorem (Dominated series theorem)
A positive term series has a sum if it has a dominating series.
Proof. Consider a positive term series that is dominated by the converging series . Then, the partial sum sequence of is bounded above by . By the monotone converging theorem, the series converges. □
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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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