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165. IN Ch. IV we explained what was meant by saying that an infinite series is convergent, divergent, or oscillatory, and illustrated our definitions by a few simple examples, mainly derived from the geometrical series
and other series closely connected with it. In this chapter we shall pursue the subject in a more systematic manner, and prove a number of theorems which enable us to determine when the simplest series which commonly occur in analysis are convergent.We shall often use the notation
and write , or simply , for the infinite series .86166. Series of Positive Terms. The theory of the convergence of series is comparatively simple when all the terms of the series considered are positive.87 We shall consider such series first, not only because they are the easiest to deal with, but also because the discussion of the convergence of a series containing negative or complex terms can often be made to depend upon a similar discussion of a series of positive terms only.
When we are discussing the convergence or divergence of a series we may disregard any finite number of terms. Thus, when a series contains a finite number only of negative or complex terms, we may omit them and apply the theorems which follow to the remainder.
167. It will be well to recall the following fundamental theorems established in § 77.
A. A series of positive terms must be convergent or diverge to , and cannot oscillate.
B. The necessary and sufficient condition that should be convergent is that there should be a number such that
for all values of .C. The comparison theorem. If is convergent, and for all values of , then is convergent, and . More generally, if , where is a constant, then is convergent and . And if is divergent, and , then is divergent.88
Moreover, in inferring the convergence or divergence of by means of one of these tests, it is sufficient to know that the test is satisfied for sufficiently large values of , i.e. for all values of greater than a definite value . But of course the conclusion that does not necessarily hold in this case.
A particularly useful case of this theorem is
D. If is convergent and tends to a limit other than zero as , then is convergent .
168. First applications of these tests. The one important fact which we know at present, as regards the convergence of any special class of series, is that is convergent if and divergent if .89 It is therefore natural to try to apply Theorem C, taking . We at once find
1. The series is convergent if , where , for all sufficiently large values of .
When , this condition may be written in the form . Hence we obtain what is known as Cauchy’s test for the convergence of a series of positive terms; viz.
2. The series is convergent if , where , for all sufficiently large values of .
There is a corresponding test for divergence, viz.
2a. The series is divergent if for an infinity of values of .
This hardly requires proof, for involves . The two theorems 2 and 2a are of very wide application, but for some purposes it is more convenient to use a different test of convergence, viz.
3. The series is convergent if , , for all sufficiently large values of .
To prove this we observe that if when then
and the result follows by comparison with the convergent series . This test is known as d’Alembert’s test. We shall see later that it is less general, theoretically, than Cauchy’s, in that Cauchy’s test can be applied whenever d’Alembert’s can, and sometimes when the latter cannot. Moreover the test for divergence which corresponds to d’Alembert’s test for convergence is much less general than the test given by Theorem 2a. It is true, as the reader will easily prove for himself, that if for all values of , or all sufficiently large values, then is divergent. But it is not true (see Ex. LXVII. 9) that this is so if only for an infinity of values of , whereas in Theorem 2a our test had only to be satisfied for such an infinity of values. None the less d’Alembert’s test is very useful in practice, because when is a complicated function is often much less complicated and so easier to work with.In the simplest cases which occur in analysis it often happens that or tends to a limit as .90 When this limit is less than , it is evident that the conditions of Theorems 2 or 3 above are satisfied. Thus
4. If or tends to a limit less than unity as , then the series is convergent.
It is almost obvious that if either function tend to a limit greater than unity, then is divergent. We leave the formal proof of this as an exercise to the reader. But when or tends to these tests generally fail completely, and they fail also when or oscillates in such a way that, while always less than , it assumes for an infinity of values of values approaching indefinitely near to . And the tests which involve fail even when that ratio oscillates so as to be sometimes less than and sometimes greater than . When behaves in this way Theorem 2a is sufficient to prove the divergence of the series. But it is clear that there is a wide margin of cases in which some more subtle tests will be needed.
Examples LXVII. 1. Apply Cauchy’s and d’Alembert’s tests (as specialised in 4 above) to the series , where is a positive rational number.
[Here , so that d’Alembert’s test shows at once that the series is convergent if and divergent if . The test fails if : but the series is then obviously divergent. Since (Ex. XXVII. 11), Cauchy’s test leads at once to the same conclusions.]
2. Consider the series . [We may suppose positive. If the coefficient of is denoted by , then and, by D of §167, the series behaves like .]
3. Consider
[The series behaves like . The case in which , requires further consideration.]
4. We have seen (Ch. IV, Misc. Ex. 17) that the series
are convergent. Show that Cauchy’s and d’Alembert’s tests both fail when applied to them. [For .]5. Show that the series , where is an integer not less than , is convergent. [Since , this follows from the convergence of the series considered in Ex. 4. It has already been shown in §77, (7) that the series is divergent if , and it is obviously divergent if .]
6. Show that the series
is convergent if and divergent if .7. If is a positive integer, and , then the series is convergent if and divergent if . For example the series is convergent if and divergent if .
8. Sum the series to places of decimals when and to places when . [If , then the first terms give the sum , and the error is
If , then the first terms give the sum , and the error is less than .]9. If , then the series is convergent. Show that Cauchy’s test may be applied to this series, but that d’Alembert’s test fails. [For
10. The series and are convergent for all positive values of .
11. If is convergent then so are and .
12. If is convergent then so is . [For and is convergent.]
13. Show that
and[To prove the first result we note that
by theorems (8) and (6) of §77.]
14. Prove by a reductio ad absurdum that is divergent. [If the series were convergent we should have, by the argument used in Ex. 13,
or which is obviously absurd, since every term of the first series is less than the corresponding term of the second.]169. Before proceeding further in the investigation of tests of convergence and divergence, we shall prove an important general theorem concerning series of positive terms.
Dirichlet’s Theorem.91 The sum of a series of positive terms is the same in whatever order the terms are taken.
This theorem asserts that if we have a convergent series of positive terms, say, and form any other series
out of the same terms, by taking them in any new order, then the second series is convergent and has the same sum as the first. Of course no terms must be omitted: every must come somewhere among the s, and vice versa.The proof is extremely simple. Let be the sum of the series of s. Then the sum of any number of terms, selected from the s, is not greater than . But every is a , and therefore the sum of any number of terms selected from the s is not greater than . Hence is convergent, and its sum is not greater than . But we can show in exactly the same way that . Thus .
170. Multiplication of Series of Positive Terms. An immediate corollary from Dirichlet’s Theorem is the following theorem: if and are two convergent series of positive terms, and and are their respective sums, then the series is convergent and has the sum .
Arrange all the possible products of pairs in the form of a doubly infinite array
(1) We begin with the single term for which ; then we take the two terms , for which ; then the three terms , , for which ; and so on. We thus obtain the series
of the theorem.(2) We begin with the single term for which both suffixes are zero; then we take the terms , , which involve a suffix but no higher suffix; then the terms , , , , which involve a suffix but no higher suffix; and so on. The sums of these groups of terms are respectively equal to
and the sum of the first groups is
and tends to as . When the sum of the series is formed in this manner the sum of the first one, two, three, … groups comprises all the terms in the first, second, third, … rectangles indicated in the diagram above.The sum of the series formed in the second manner is . But the first series is (when the brackets are removed) a rearrangement of the second; and therefore, by Dirichlet’s Theorem, it converges to the sum . Thus the theorem is proved.
Examples LXVIII. 1. Verify that if then
2.92If either of the series , is divergent, then so is the series , except in the trivial case in which every term of one series is zero.
3. If the series , , converge to sums , , , then the series , where , the summation being extended to all sets of values of , , such that , converges to the sum .
4. If and converge to sums and , then the series , where , the summation extending to all pairs , for which , converges to the sum .
171. Further tests for convergence and divergence. The examples on pp. 1049–1054 suffice to show that there are simple and interesting types of series of positive terms which cannot be dealt with by the general tests of § 168. In fact, if we consider the simplest type of series, in which tends to a limit as , the tests of § 168 generally fail when this limit is . Thus in Ex. LXVII. 5 these tests failed, and we had to fall back upon a special device, which was in essence that of using the series of Ex. LXVII. 4 as our comparison series, instead of the geometric series.
The fact is that the geometric series, by comparison with which the tests of §168 were obtained, is not only convergent but very rapidly convergent, far more rapidly than is necessary in order to ensure convergence. The tests derived from comparison with it are therefore naturally very crude, and much more delicate tests are often wanted.
We proved in Ex. XXVII. 7 that as , provided , whatever value may have; and in Ex. LXVII. 1 we proved more than this, viz. that the series is convergent. It follows that the sequence , , , …, , …, where , diminishes more rapidly than the sequence , , , …, , …. This seems at first paradoxical if is not much less than unity, and is large. Thus of the two sequences
whose general terms are and , the second seems at first sight to decrease far more rapidly. But this is far from being the case; if only we go far enough into the sequences we shall find the terms of the first sequence very much the smaller. For example, while so that the th term of the first sequence is less than the th part of the corresponding term of the second sequence. Thus the series is far more rapidly convergent than the series , and even this series is very much more rapidly convergent than .93172. We shall proceed to establish two further tests for the convergence or divergence of series of positive terms, Maclaurin’s (or Cauchy’s) Integral Test and Cauchy’s Condensation Test, which, though very far from being completely general, are sufficiently general for our needs in this chapter.
In applying either of these tests we make a further assumption as to the nature of the function , about which we have so far assumed only that it is positive. We assume that decreases steadily with : i.e. that for all values of , or at any rate all sufficiently large values.
This condition is satisfied in all the most important cases. From one point of view it may be regarded as no restriction at all, so long as we are dealing with series of positive terms: for in virtue of Dirichlet’s theorem above we may rearrange the terms without affecting the question of convergence or divergence; and there is nothing to prevent us rearranging the terms in descending order of magnitude, and applying our tests to the series of decreasing terms thus obtained.
But before we proceed to the statement of these two tests, we shall state and prove a simple and important theorem, which we shall call Abel’s Theorem.94 This is a one-sided theorem in that it gives a sufficient test for divergence only and not for convergence, but it is essentially of a more elementary character than the two theorems mentioned above.
173. Abel’s (or Pringsheim’s) Theorem. If is a convergent series of positive and decreasing terms, then .
Suppose that does not tend to zero. Then it is possible to find a positive number such that for an infinity of values of . Let be the first such value of ; the next such value of which is more than twice as large as ; the next such value of which is more than twice as large as ; and so on. Then we have a sequence of numbers , , , … such that , , … and so , , …; and also , , …. But, since decreases as increases, we have
and so on. Thus we can bracket the terms of the series so as to obtain a new series whose terms are severally greater than those of the divergent series
and therefore is divergent.Examples LXIX. 1. Use Abel’s theorem to show that and are divergent. [Here or .]
2. Show that Abel’s theorem is not true if we omit the condition that decreases as increases. [The series
in which or , according as is or is not a perfect square, is convergent, since it may be rearranged in the form and each of these series is convergent. But, since whenever is a perfect square, it is clearly not true that .]3. The converse of Abel’s theorem is not true, i.e. it is not true that, if decreases with and , then is convergent.
[Take the series and multiply the first term by , the second by , the next two by , the next four by , the next eight by , and so on. On grouping in brackets the terms of the new series thus formed we obtain
and this series is divergent, since its terms are greater than those of which is divergent. But it is easy to see that the terms of the series satisfy the condition that . In fact if , and as .]174. Maclaurin’s (or Cauchy’s) Integral Test.95 If decreases steadily as increases, we can write and suppose that is the value assumed, when , by a continuous and steadily decreasing function of the continuous variable . Then, If is any positive integer, we have
when . Let so that Then is a series of positive terms, and Hence is convergent, and so or tends to a positive limit as .Let us write
so that is a continuous and steadily increasing function of . Then tends to a positive limit, not greater than , as . Hence is convergent or divergent according as tends to a limit or to infinity as , and therefore, since increases steadily, according as tends to a limit or to infinity as . Hence if is a function of which is positive and continuous for all values of greater than unity, and decreases steadily as increases, then the series does or does not converge according as does or does not tend to a limit as ; and, in the first case, the sum of the series is not greater than .The sum must in fact be less than . For it follows from (6) of §160, and Ch. VII, Misc. Ex. 41, that , unless throughout the interval ; and this cannot be true for all values of .
2. Prove that
3. Prove that if then
175. The series . By far the most important application of the Integral Test is to the series
where is any rational number. We have seen already (§ 77 and Exs. LXVII. 14, LXIX. 1) that the series is divergent when .If then it is obvious that the series is divergent. If then decreases as increases, and we can apply the test. Here
unless . If then as , and say. And if then as , and so . Thus the series is convergent if , divergent if , and in the first case its sum is less than .So far as divergence for is concerned, this result might have been derived at once from comparison with , which we already know to be divergent.
It is however interesting to see how the Integral Test may be applied to the series , when the preceding analysis fails. In this case
and it is easy to see that as . For if then But by putting we obtain and so , which shows that as .Examples LXXI. 1. Prove by an argument similar to that used above, and without integration, that , where , tends to infinity with .
2. The series , , are convergent, and their sums are not greater than , , respectively. The series , are divergent.
3. The series , where , is convergent or divergent according as or . [Compare with .]
4. Discuss the convergence or divergence of the series
where all the letters denote positive numbers and the ’s and ’s are rational and arranged in descending order of magnitude.5. Prove that
6. If then the series is convergent. If then it is divergent.
176. Cauchy’s Condensation Test. The second of the two tests mentioned in § 172 is as follows: if is a decreasing function of , then the series is convergent or divergent according as is convergent or divergent.
We can prove this by an argument which we have used already (§ 77) in the special case of the series . In the first place
If diverges then so do and , and then the inequalities just obtained show that diverges.
On the other hand
and so on. And from this set of inequalities it follows that if converges then so does . Thus the theorem is established.For our present purposes the field of application of this test is practically the same as that of the Integral Test. It enables us to discuss the series with equal ease. For will converge or diverge according as converges or diverges, i.e. according as or .
Examples LXXII. 1. Show that if is any positive integer greater than then is convergent or divergent according as is convergent or divergent. [Use the same arguments as above, taking groups of , , , … terms.]
2. If converges then it is obvious that . Hence deduce Abel’s Theorem of §173.
177. Infinite Integrals. The Integral Test of § 174 shows that, if is a positive and decreasing function of , then the series is convergent or divergent according as the integral function does or does not tend to a limit as . Let us suppose that it does tend to a limit, and that
Then we shall say that the integral is convergent, and has the value ; and we shall call the integral an infinite integral.So far we have supposed positive and decreasing. But it is natural to extend our definition to other cases. Nor is there any special point in supposing the lower limit to be unity. We are accordingly led to formulate the following definition:
If is a function of continuous when , and
then we shall say that the infinite integral(1) |
is convergent and has the value .
The ordinary integral between limits and , as defined in Ch. VII, we shall sometimes call in contrast a finite integral.
On the other hand, when
we shall say that the integral diverges to , and we can give a similar definition of divergence to . Finally, when none of these alternatives occur, we shall say that the integral oscillates, finitely or infinitely, as .These definitions suggest the following remarks.
(i) If we write
then the integral converges, diverges, or oscillates according as tends to a limit, tends to (or to ), or oscillates, as . If tends to a limit, which we may denote by , then the value of the integral is . More generally, if is any integral function of , then the value of the integral is .(ii) In the special case in which is always positive it is clear that is an increasing function of . Hence the only alternatives are convergence and divergence to .
(iii) The integral (1) of course depends on , but is quite independent of , and is in no way altered by the substitution of any other letter for (cf. §157).
(iv) Of course the reader will not be puzzled by the use of the term infinite integral to denote something which has a definite value such as or . The distinction between an infinite integral and a finite integral is similar to that between an infinite series and a finite series: no one supposes that an infinite series is necessarily divergent.
(v) The integral was defined in §§156 and 157 as a simple limit, i.e. the limit of a certain finite sum. The infinite integral is therefore the limit of a limit, or what is known as a repeated limit. The notion of the infinite integral is in fact essentially more complex than that of the finite integral, of which it is a development.
(vi) The Integral Test of §174 may now be stated in the form: if is positive and steadily decreases as increases, then the infinite series and the infinite integral converge or diverge together.
(vii) The reader will find no difficulty in formulating and proving theorems for infinite integrals analogous to those stated in (1)–(6) of §77. Thus the result analogous to (2) is that if is convergent, and , then is convergent and
178. The case in which is positive. It is natural to consider what are the general theorems, concerning the convergence or divergence of the infinite integral (1) of § 177, analogous to theorems A–D of § 167. That A is true of integrals as well as of series we have already seen in § 177, (ii). Corresponding to B we have the theorem that the necessary and sufficient condition for the convergence of the integral (1) is that it should be possible to find a constant such that for all values of greater than .
Similarly, corresponding to C, we have the theorem: if is convergent, and for all values of greater than , then is convergent and
We may observe that d’Alembert’s test (§ 168), depending as it does on the notion of successive terms, has no analogue for integrals; and that the analogue of Cauchy’s test is not of much importance, and in any case could only be formulated when we have investigated in greater detail the theory of the function , as we shall do in Ch. IX. The most important special tests are obtained by comparison with the integral
whose convergence or divergence we have investigated in § 175, and are as follows: if , where , when , then is convergent; and if , where , when , then the integral is divergent; and in particular, if , where , then the integral is convergent or divergent according as or .There is one fundamental property of a convergent infinite series in regard to which the analogy between infinite series and infinite integrals breaks down. If is convergent then ; but it is not always true, even when is always positive, that if is convergent then .
Consider for example the function whose graph is indicated by the thick line in the figure. Here the height of the peaks corresponding to the points , , , … is in each case unity, and the breadth of the peak corresponding
to is . The area of the peak is , and it is evident that, for any value of ,
so that is convergent; but it is not true that .Examples LXXIII. 1. The integral
where and are positive and is greater than the greatest root of the denominator, is convergent if and otherwise divergent.2. Which of the integrals , ,
are convergent? In the first two integrals it is supposed that , and in the last that is greater than the greatest root (if any) of the denominator.3. The integrals
oscillate finitely as .4. The integrals
where is any positive integer, oscillate infinitely as .5. Integrals to . If tends to a limit as , then we say that is convergent and equal to . Such integrals possess properties in every respect analogous to those of the integrals discussed in the preceding sections: the reader will find no difficulty in formulating them.
6. Integrals from to . If the integrals
are both convergent, and have the values , respectively, then we say that is convergent and has the value .7. Prove that
8. Prove generally that
provided that the integral is convergent.9. Prove that if is convergent then .
10. Analogue of Abel’s Theorem of §173. If is positive and steadily decreases, and is convergent, then . Prove this (a) by means of Abel’s Theorem and the Integral Test and (b) directly, by arguments analogous to those of §173.
11. If and , and , then the convergence of involves that of . If is always positive the converse statement is also true. [That the converse is not true in general is shown by the example in which , .]
179. Application to infinite integrals of the rules for substitution and integration by parts. The rules for the transformation of a definite integral which were discussed in § 161 may be extended so as to apply to infinite integrals.
(1) Transformation by substitution. Suppose that
(1) |
is convergent. Further suppose that, for any value of greater than , we have, as in § 161,
(2) |
where , . Finally suppose that the functional relation is such that as . Then, making and so tend to in (2), we see that the integral
(3) |
is convergent and equal to the integral (1).
On the other hand it may happen that as or as . In the first case we obtain
In the second case we obtain
(4) |
We shall return to this equation in § 181.
There are of course corresponding results for the integrals
which it is not worth while to set out in detail: the reader will be able to formulate them for himself.Examples LXXIV. 1. Show, by means of the substitution , that if and then
and verify the result by calculating the value of each integral directly.2. If is convergent then it is equal to one or other of
according as is positive or negative.3. If is a positive and steadily decreasing function of , and and are any positive numbers, then the convergence of the series implies and is implied by that of the series .
[It follows at once, on making the substitution , that the integrals
converge or diverge together. Now use the Integral Test.]4. Show that
[Put .]
5. Show that
[Put and integrate by parts.]
6. If as , and as , then
[For
The first of these two integrals may be expressed in the form
where as , and the modulus of the last integral is less than or equal to , where is the greatest value of throughout the interval . Hence The second integral may be discussed similarly.](2) Integration by parts. The formula for integration by parts (§ 161) is
Suppose now that . Then if any two of the three terms in the above equation which involve tend to limits, so does the third, and we obtain the result
There are of course similar results for integrals to , or from to .2. .
3. If and are positive integers, and
then Hence prove that .4. Show similarly that if
then Verify the result by applying the substitution to the result of Ex. 3.180. Other types of infinite integrals. It was assumed, in the definition of the ordinary or finite integral given in Ch. VII, that (1) the range of integration is finite and (2) the subject of integration is continuous.
It is possible, however, to extend the notion of the ‘definite integral’ so as to apply to many cases in which these conditions are not satisfied. The ‘infinite’ integrals which we have discussed in the preceding sections, for example, differ from those of Ch. VII in that the range of integration is infinite. We shall now suppose that it is the second of the conditions (1), (2) that is not satisfied. It is natural to try to frame definitions applicable to some such cases at any rate. There is only one such case which we shall consider here. We shall suppose that is continuous throughout the range of integration except for a finite number of values of , say , , …, and that or as tends to any of these exceptional values from either side.
It is evident that we need only consider the case in which contains one such point . When there is more than one such point we can divide up into a finite number of sub-intervals each of which contains only one; and, if the value of the integral over each of these sub-intervals has been defined, we can then define the integral over the whole interval as being the sum of the integrals over each sub-interval. Further, we can suppose that the one point in comes at one or other of the limits , . For, if it comes between and , we can then define as
assuming each of these integrals to have been satisfactorily defined. We shall suppose, then, that ; it is evident that the definitions to which we are led will apply, with trifling changes, to the case in which .Let us then suppose to be continuous throughout except for , while as through values greater than . A typical example of such a function is given by
where ; or, in particular, if , by . Let us therefore consider how we can define(1) |
The integral is convergent if (§ 175) and means . But if we make the substitution , we obtain
Thus , or, what is the same thing, exists provided that ; and it is natural to define the value of the integral (1) as being equal to this limit. Similar considerations lead us to define by the equationWe are thus led to the following general definition: if the integral tends to a limit as , we shall say that the integral is convergent and has the value .
Similarly, when as tends to the upper limit , we define as being
and then, as we explained above, we can extend our definitions to cover the case in which the interval contains any finite number of infinities of .An integral in which the subject of integration tends to or to as tends to some value or values included in the range of integration will be called an infinite integral of the second kind: the first kind of infinite integrals being the class discussed in §§ 177 et seq. Nearly all the remarks (i)–(vii) made at the end of § 177 apply to infinite integrals of the second kind as well as to those of the first.
181. We may now write the equation (4) of §179 in the form
(1) |
The integral on the right-hand side is defined as the limit, as , of the corresponding integral over the range , i.e. as an infinite integral of the second kind. And when has an infinity at the integral is essentially an infinite integral. Suppose for example, that , where , and , and that . Then , , and (1) becomes
(2) |
and the integral on the right-hand side is an infinite integral of the second kind.
On the other hand it may happen that is continuous for . In this case
is a finite integral, and in virtue of the corollary to Theorem (10) of §160. In this case the substitution transforms an infinite into a finite integral. This case arises if in the example considered a moment ago.Examples LXXVI. 1. If is continuous except for , while as , then the necessary and sufficient condition that should be convergent is that we can find a constant such that
for all values of , however small (cf. §178).It is clear that we can choose a number between and , such that is positive throughout . If is positive throughout the whole interval then we can of course identify and . Now
The first integral on the right-hand side of the above equation increases as decreases, and therefore tends to a limit or to ; and the truth of the result stated becomes evident.If the condition is not satisfied then . We shall then say that the integral diverges to . It is clear that, if as , then convergence and divergence to are the only alternatives for the integral. We may discuss similarly the case in which .
2. Prove that
if , while the integral is divergent if .3. If as and , where , then is convergent; and if , where , then the integral is divergent. [This is merely a particular case of a general comparison theorem analogous to that stated in §178.]
4. Are the integrals
convergent or divergent?
5. The integrals
are convergent, and the value of each is zero.6. The integral
is convergent. [The subject of integration tends to as tends to either limit.]7. The integral
is convergent if and only if .8. The integral
is convergent if .9. Show that
where , is convergent if . Show also that, if , the integrals alternate in sign and steadily decrease in absolute value. [Transform the integral whose limits are and by the substitution .]10. Show that
where , attains its greatest value when .11. The integral
is convergent if and only if , .12. Such an integral as
where , does not fall directly under any of our previous definitions. For the range of integration is infinite and the subject of integration tends to as . It is natural to define this integral as being equal to the sum provided that these two integrals are both convergent.The first integral is a convergent infinite integral of the second kind if . The second is a convergent infinite integral of the first kind if . It should be noted that when the first integral is an ordinary finite integral; but then the second is divergent. Thus the integral from to is convergent if and only if .
13. Prove that
is convergent if and only if .14. The integral
is convergent if and only if , . [It should be noticed that the subject of integration is undefined when ; but as from either side; so that the subject of integration becomes a continuous function of if we assign to it the value when .It often happens that the subject of integration has a discontinuity which is due simply to a failure in its definition at a particular point in the range of integration, and can be removed by attaching a particular value to it at that point. In this case it is usual to suppose the definition of the subject of integration completed in this way. Thus the integrals
are ordinary finite integrals, if the subjects of integration are regarded as having the value when .]15. Substitution and integration by parts. The formulae for transformation by substitution and integration by parts may of course be extended to infinite integrals of the second as well as of the first kind. The reader should formulate the general theorems for himself, on the lines of §179.
16. Prove by integration by parts that if , , then
17. If then
[Put .]
18. If then
19. If then
20. Show, by means of the substitution , that if and are both positive then
21. Show, by means of the substitution , that if , , and are all positive then
22. Prove that
(i) by means of the substitution , (ii) by means of the substitution , and (iii) by means of the substitution .23. If then
24. Establish the formulae
25. Prove that
[Put and use Ex. LXIII. 8.]
182. Some care has occasionally to be exercised in applying the rule for transformation by substitution. The following example affords a good illustration of this.
Let
We find by direct integration that . Now let us apply the substitution which gives . Since when and when , we appear to be led to the result The indefinite integral is and so we obtain the value , which is certainly wrong whichever sign we choose.The explanation is to be found in a closer consideration of the relation between and . The function has a minimum for , when . As increases from to , decreases from to , and is negative, so that
As increases from to , increases from to , and the other sign must be chosen. Thus a formula which will be found to lead to the correct result.Similarly, if we transform the integral by the substitution , we must observe that or according as or .
Example. Verify the results of transforming the integrals
by the substitutions , respectively.183. Series of positive and negative terms. Our definitions of the sum of an infinite series, and the value of an infinite integral, whether of the first or the second kind, apply to series of terms or integrals of functions whose values may be either positive or negative. But the special tests for convergence or divergence which we have established in this chapter, and the examples by which we have illustrated them, have had reference almost entirely to the case in which all these values are positive. Of course the case in which they are all negative is not essentially different, as it can be reduced to the former by changing into or into .
In the case of a series it has always been explicitly or tacitly assumed that any conditions imposed upon may be violated for a finite number of terms: all that is necessary is that such a condition (e.g. that all the terms are positive) should be satisfied from some definite term onwards. Similarly in the case of an infinite integral the conditions have been supposed to be satisfied for all values of greater than some definite value, or for all values of within some definite interval which includes the value near which the subject of integration tends to infinity. Thus our tests apply to such a series as
since when , and to such integrals as since when , and when .But when the changes of sign of persist throughout the series, i.e. when the number of both positive and negative terms is infinite, as in the series ; or when continually changes sign as , as in the integral
or as , where is a point of discontinuity of , as in the integral then the problem of discussing convergence or divergence becomes more difficult. For now we have to consider the possibility of oscillation as well as of convergence or divergence.We shall not, in this volume, have to consider the more general problem for integrals. But we shall, in the ensuing chapters, have to consider certain simple examples of series containing an infinite number of both positive and negative terms.
184. Absolutely Convergent Series. Let us then consider a series in which any term may be either positive or negative. Let
so that if is positive and if is negative. Further, let or , according as is positive or negative, and or , according as is negative or positive; or, what is the same thing, let or be equal to according as is positive or negative, the other being in either case equal to zero. Then it is evident that and are always positive, and thatIf, for example, our series is , then and , while or according as is odd or even and or according as is even or odd.
We can now distinguish two cases.
A. Suppose that the series is convergent. This is the case, for instance, in the example above, where is
Then both and are convergent: for (Ex. XXX. 18) any series selected from the terms of a convergent series of positive terms is convergent. And hence, by theorem (6) of § 77, or is convergent and equal to .We are thus led to formulate the following definition.
DEFINITION. When or is convergent, the series is said to be absolutely convergent.
And what we have proved above amounts to this: if is absolutely convergent then it is convergent; so are the series formed by its positive and negative terms taken separately; and the sum of the series is equal to the sum of the positive terms plus the sum of the negative terms.
The reader should carefully guard himself against supposing that the statement ‘an absolutely convergent series is convergent’ is a mere tautology. When we say that is ‘absolutely convergent’ we do not assert directly that is convergent: we assert the convergence of another series , and it is by no means evident a priori that this precludes oscillation on the part of .
Examples LXXVII. 1. Employ the ‘general principle of convergence’ (§84) to prove the theorem that an absolutely convergent series is convergent. [Since is convergent, we can, when any positive number is assigned, choose so that
when . A fortiori and therefore is convergent.]2. If is a convergent series of positive terms, and , then is absolutely convergent.
3. If is a convergent series of positive terms, then the series is absolutely convergent when .
4. If is a convergent series of positive terms, then the series , are absolutely convergent for all values of . [Examples are afforded by the series , of §88.]
5. Any series selected from the terms of an absolutely convergent series is absolutely convergent. [For the series of the moduli of its terms is a selection from the series of the moduli of the terms of the original series.]
6. Prove that if is convergent then
and that the only case to which the sign of equality can apply is that in which every term has the same sign.185. Extension of Dirichlet’s Theorem to absolutely convergent series. Dirichlet’s Theorem (§ 169) shows that the terms of a series of positive terms may be rearranged in any way without affecting its sum. It is now easy to see that any absolutely convergent series has the same property. For let be so rearranged as to become , and let , , be formed from as , , were formed from . Then is convergent, as it is a rearrangement of , and so are , , which are rearrangements of , . Also, by Dirichlet’s Theorem, and and so
186. Conditionally convergent series. B. We have now to consider the second case indicated above, viz. that in which the series of moduli diverges to .
DEFINITION. If is convergent, but divergent, the original series is said to be conditionally convergent.
In the first place we note that, if is conditionally convergent, then the series , of § 184 must both diverge to . For they obviously cannot both converge, as this would involve the convergence of or . And if one of them, say , is convergent, and divergent, then
(1) |
and therefore tends to with , which is contrary to the hypothesis that is convergent.
Hence , are both divergent. It is clear from equation (1) above that the sum of a conditionally convergent series is the limit of the difference of two functions each of which tends to with . It is obvious too that no longer possesses the property of convergent series of positive terms (Ex. XXX. 18), and all absolutely convergent series (Ex. LXXVII. 5), that any selection from the terms itself forms a convergent series. And it seems more than likely that the property prescribed by Dirichlet’s Theorem will not be possessed by conditionally convergent series; at any rate the proof of § 185 fails completely, as it depended essentially on the convergence of and separately. We shall see in a moment that this conjecture is well founded, and that the theorem is not true for series such as we are now considering.
187. Tests of convergence for conditionally convergent series. It is not to be expected that we should be able to find tests for conditional convergence as simple and general as those of §§ 167 et seq. It is naturally a much more difficult matter to formulate tests of convergence for series whose convergence, as is shown by equation (1) above, depends essentially on the cancelling of the positive by the negative terms. In the first instance there are no comparison tests for convergence of conditionally convergent series.
For suppose we wish to infer the convergence of from that of . We have to compare
If every and every were positive, and every less than the corresponding , we could at once infer that and so that is convergent. If the ’s only were positive and every numerically less than the corresponding , we could infer that and so that is absolutely convergent. But in the general case, when the ’s and ’s are both unrestricted as to sign, all that we can infer is that This would enable us to infer the absolute convergence of from the absolute convergence of ; but if is only conditionally convergent we can draw no inference at all.Example. We shall see shortly that the series is convergent. But the series is divergent, although each of its terms is numerically less than the corresponding term of the former series.
It is therefore only natural that such tests as we can obtain should be of a much more special character than those given in the early part of this chapter.
188. Alternating Series. The simplest and most common conditionally convergent series are what is known as alternating series, series whose terms are alternately positive and negative. The convergence of the most important series of this type is established by the following theorem.
If is a positive function of which tends steadily to zero as , then the series
is convergent, and its sum lies between and .Let us write , , … for , , …; and let
Then Hence , , , …, , … is a decreasing sequence, and therefore tends to a limit or to , and , , , …, , … is an increasing sequence, and therefore tends to a limit or to . But , from which it follows that both sequences must tend to limits, and that the two limits must be the same. That is to say, the sequence , , …, , … tends to a limit. Since , , it is clear that this limit lies between and .Examples LXXVIII. 1. The series
where , are conditionally convergent.
2. The series , where , is absolutely convergent if , conditionally convergent if , and oscillatory if .
3. The sum of the series of §188 lies between and for all values of ; and the error committed by taking the sum of the first terms instead of the sum of the whole series is numerically not greater than the modulus of the th term.
4. Consider the series
which we suppose to begin with the term for which , to avoid any difficulty as to the definitions of the first few terms. This series may be written in the form or say. The series is convergent; but is divergent, as all its terms are positive, and . Hence the original series is divergent, although it is of the form , where . This example shows that the condition that should tend steadily to zero is essential to the truth of the theorem. The reader will easily verify that , so that this condition is not satisfied.5. If the conditions of §188 are satisfied except that tends steadily to a positive limit , then the series oscillates finitely.
6. Alteration of the sum of a conditionally convergent series by rearrangement of the terms. Let be the sum of the series , and the sum of its first terms, so that .
Now consider the series
(1) |
in which two positive terms are followed by one negative term, and let denote the sum of the first terms. Then
Now
since the sum of the terms inside the bracket is clearly less than ; and by §§156 and 158. Hence and it follows that the sum of the series (1) is not , but the right-hand side of the last equation. Later on we shall give the actual values of the sums of the two series: see §213 and Ch. IX, Misc. Ex. 19.It can indeed be proved that a conditionally convergent series can always be so rearranged as to converge to any sum whatever, or to diverge to or to . For a proof we may refer to Bromwich’s Infinite Series, p. 68.
7. The series
diverges to . [Here where , which tends to a limit as .]189. Abel’s and Dirichlet’s Tests of Convergence. A more general test, which includes the test of §188 as a particular test case, is the following.
Dirichlet’s Test. If satisfies the same conditions as in §188, and is any series which converges or oscillates finitely, then the series is convergent.
The reader will easily verify the identity
where . Now the series is convergent, since the sum to terms is and ; and all its terms are positive. Also since , if not actually convergent, at any rate oscillates finitely, we can determine a constant so that for all values of . Hence the series is absolutely convergent, and so tends to a limit as . Also , and therefore , tends to zero. And therefore tends to a limit, i.e. the series is convergent.Abel’s Test. There is another test, due to Abel, which, though of less frequent application than Dirichlet’s, is sometimes useful.
Suppose that , as in Dirichlet’s Test, is a positive and decreasing function of , but that its limit as is not necessarily zero. Thus we postulate less about , but to make up for this we postulate more about , viz. that it is convergent. Then we have the theorem: if is a positive and decreasing function of , and is convergent, then is convergent.
For has a limit as , say : and . Hence, by Dirichlet’s Test, is convergent; and as is convergent it follows that is convergent.
This theorem may be stated as follows: a convergent series remains convergent if we multiply its terms by any sequence of positive and decreasing factors.
Examples LXXIX. 1. Dirichlet’s and Abel’s Tests may also be established by means of the general principle of convergence (§84). Let us suppose, for example, that the conditions of Abel’s Test are satisfied. We have identically
where
The left-hand side of (1) therefore lies between and , where and are the algebraically least and greatest of , , …, . But, given any positive number , we can choose so that when , and so
when . Thus the series is convergent.2. The series and oscillate finitely when is not a multiple of . For, if we denote the sums of the first terms of the two series by and , and write , so that and , we have
and so and are also not greater than . That the series are not actually convergent follows from the fact that their th terms do not tend to zero (Exs. XXIV. 7, 8).The sine series converges to zero if is a multiple of . The cosine series oscillates finitely if is an odd multiple of and diverges if is an even multiple of .
It follows that if is a positive function of which tends steadily to zero as , then the series are convergent, except perhaps the first series when is a multiple of . In this case the first series reduces to , which may or may not be convergent: the second series vanishes identically. If is convergent then both series are absolutely convergent (Ex. LXXVII. 4) for all values of , and the whole interest of the result lies in its application to the case in which is divergent. And in this case the series above written are conditionally and not absolutely convergent, as will be proved in Ex. LXXIX. 6. If we put in the cosine series we are led back to the result of §188, since .
3. The series , are convergent if , unless (in the case of the first series) is a multiple of and .
4. The series of Ex. 3 are in general absolutely convergent if , conditionally convergent if , and oscillatory if (finitely if and infinitely if ). Mention any exceptional cases.
5. If is convergent or oscillates finitely, then is convergent when .
6. If is a positive function of which tends steadily to as , and is divergent, then the series , are not absolutely convergent, except the sine-series when is a multiple of . [For suppose, e.g., that is convergent. Since , it follows that or
is convergent. But this is impossible, since is divergent and , by Dirichlet’s Test, convergent, unless is a multiple of . And in this case it is obvious that is divergent. The reader should write out the corresponding argument for the sine-series, noting where it fails when is a multiple of .]190. Series of complex terms. So far we have confined ourselves to series all of whose terms are real. We shall now consider the series
where and are real. The consideration of such series does not, of course, introduce anything really novel. The series is convergent if, and only if, the series are separately convergent. There is however one class of such series so important as to require special treatment. Accordingly we give the following definition, which is an obvious extension of that of § 184.DEFINITION. The series , where , is said to be absolutely convergent if the series and are absolutely convergent.
THEOREM. The necessary and sufficient condition for the absolute convergence of is the convergence of or .
For if is absolutely convergent, then both of the series , are convergent, and so is convergent: but
and therefore is convergent. On the other hand so that and are convergent whenever is convergent.It is obvious that an absolutely convergent series is convergent, since its real and imaginary parts converge separately. And Dirichlet’s Theorem (§§ 169, 185) may be extended at once to absolutely convergent complex series by applying it to the separate series and .
The convergence of an absolutely convergent series may also be deduced directly from the general principle of convergence (cf. Ex. LXXVII. 1). We leave this as an exercise to the reader.
191. Power Series. One of the most important parts of the theory of the ordinary functions which occur in elementary analysis (such as the sine and cosine, and the logarithm and exponential, which will be discussed in the next chapter) is that which is concerned with their expansion in series of the form . Such a series is called a power series in . We have already come across some cases of expansion in series of this kind in connection with Taylor’s and Maclaurin’s series (§ 148). There, however, we were concerned only with a real variable . We shall now consider a few general properties of power series in , where is a complex variable.
A. A power series may be convergent for all values of , for a certain region of values, or for no values except .
It is sufficient to give an example of each possibility.
1. The series is convergent for all values of . For if then
as , whatever value may have. Hence, by d’Alembert’s Test, is convergent for all values of , and the original series is absolutely convergent for all values of . We shall see later on that a power series, when convergent, is generally absolutely convergent.2. The series is not convergent for any value of except . For if then , which tends to with , unless . Hence (cf. Exs. XXVII. 1, 2, 5) the modulus of the th term tends to with ; and so the series cannot converge, except when . It is obvious that any power series converges when .
3. The series is always convergent when , and never convergent when . This was proved in §88. Thus we have an actual example of each of the three possibilities.
192. B. If a power series is convergent for a particular value of , say , then it is absolutely convergent for all values of such that .
For , since is convergent, and therefore we can certainly find a constant such that for all values of . But, if , we have
and the result follows at once by comparison with the convergent geometrical series .In other words, if the series converges at then it converges absolutely at all points nearer to the origin than .
Example. Show that the result is true even if the series oscillates finitely when . [If then we can find so that for all values of . But , and the argument can be completed as before.]
193. The region of convergence of a power series. The circle of convergence. Let be any point on the positive real axis. If the power series converges when then it converges absolutely at all points inside the circle . In particular it converges for all real values of less than .
Now let us divide the points of the positive real axis into two classes, the class at which the series converges and the class at which it does not. The first class must contain at least the one point . The second class, on the other hand, need not exist, as the series may converge for all values of . Suppose however that it does exist, and that the first class of points does include points besides . Then it is clear that every point of the first class lies to the left of every point of the second class. Hence there is a point, say the point , which divides the two classes, and may itself belong to either one or the other. Then the series is absolutely convergent at all points inside the circle .
For let be any such point. We can draw a circle, whose centre is and whose radius is
less than , so as to include inside it. Let this circle cut in . Then the series is convergent at , and therefore, by Theorem B, absolutely convergent at .
On the other hand the series cannot converge at any point outside the circle. For if it converged at it would converge absolutely at all points nearer to than ; and this is absurd, as it does not converge at any point between and (Fig. 51).
So far we have excepted the cases in which the power series (1) does not converge at any point on the positive real axis except or (2) converges at all points on the positive real axis. It is clear that in case (1) the power series converges nowhere except when , and that in case (2) it is absolutely convergent everywhere. Thus we obtain the following result: a power series either
(1) converges for and for no other value of ; or
(2) converges absolutely for all values of ; or
(3) converges absolutely for all values of within a certain circle of radius , and does not converge for any value of outside this circle.
In case (3) the circle is called the circle of convergence and its radius the radius of convergence of the power series.
It should be observed that this general result gives absolutely no information about the behaviour of the series on the circle of convergence. The examples which follow show that as a matter of fact there are very diverse possibilities as to this.
Examples LXXX. 1. The series , where , has a radius of convergence equal to . It does not converge anywhere on its circle of convergence, diverging when and oscillating finitely at all other points on the circle.
2. The series has its radius of convergence equal to ; it converges absolutely at all points on its circle of convergence.
3. More generally, if , or , as , then the series has as its radius of convergence. In the first case
which is less or greater than unity according as is less or greater than , so that we can use d’Alembert’s Test (§168, 3). In the second case we can use Cauchy’s Test (§168, 2) similarly.4. The logarithmic series. The series
is called (for reasons which will appear later) the ‘logarithmic’ series. It follows from Ex. 3 that its radius of convergence is unity.When is on the circle of convergence we may write , and the series assumes the form
The real and imaginary parts are both convergent, though not absolutely convergent, unless is an odd multiple of (Exs. LXXIX. 3, 4). If is an odd multiple of then , and the series assumes the form , and so diverges to . Thus the logarithmic series converges at all points of its circle of convergence except the point .
5. The binomial series. Consider the series
If is a positive integer then the series terminates. In general so that the radius of convergence is unity. We shall not discuss here the question of its convergence on the circle, which is a little more difficult.96194. Uniqueness of a power series. If is a power series which is convergent for some values of at any rate besides , and is its sum, then it is easy to see that can be expressed in the form
where as . For if is any number less than the radius of convergence of the series, and , then , where is a constant (cf. §192), and sowhere is a number independent of . It follows from Ex. LV. 15 that if for all values of whose modulus is less than some number , then for all values of . This result is capable of considerable generalisations into which we cannot enter now. It shows that the same function cannot be represented by two different power series.
195. Multiplication of Series. We saw in § 170 that if and are two convergent series of positive terms, then , where
We can now extend this result to all cases in which and are absolutely convergent; for our proof was merely a simple application of Dirichlet’s Theorem, which we have already extended to all absolutely convergent series.Examples LXXXI. 1. If is less than the radius of convergence of either of the series , , then the product of the two series is , where .
2. If the radius of convergence of is , and is the sum of the series when , and is less than either or unity, then , where .
3. Prove, by squaring the series for , that if .
4. Prove similarly that , the general term being .
5. The Binomial Theorem for a negative integral exponent. If , and is a positive integer, then
[Assume the truth of the theorem for all indices up to . Then, by Ex. 2, , where
as is easily proved by induction.]
6. Prove by multiplication of series that if
and , then . [This equation forms the basis of Euler’s proof of the Binomial Theorem. The coefficient of in the product series isThis is a polynomial in and : but when and are positive integers this polynomial must reduce to in virtue of the Binomial Theorem for a positive integral exponent, and if two such polynomials are equal for all positive integral values of and then they must be equal identically.]
7. If then . [For the series for is absolutely convergent for all values of : and it is easy to see that if , , then .]
8. If
then and9. Failure of the Multiplication Theorem. That the theorem is not always true when and are not absolutely convergent may be seen by considering the case in which
Then But , and so , which tends to ; so that is certainly not convergent.
1. Discuss the convergence of the series , where is real.
2. Show that
where and so on, is convergent if and only if , except when is a positive integer less than , when every term of the series is zero.[The result of Ch. VII, Misc. Ex. 11, shows that is in general of order .]
3. Show that
[Resolve the general term into partial fractions.]
4. Show that, if is any rational function of , we can determine a polynomial and a constant such that is convergent. Consider in particular the cases in which is one of the functions , .
5. Show that the series
is convergent provided only that is not a negative integer.6. Investigate the convergence or divergence of the series
where is real.
7. Discuss the convergence of the series
where and are real.8. Prove that the series
in which successive terms of the same sign form groups of , , , , … terms, is convergent; but that the corresponding series in which the groups contain , , , , … terms oscillates finitely.9. If , , , … is a decreasing sequence of positive numbers whose limit is zero, then the series
are convergent. [For if then , , , … is also a decreasing sequence whose limit is zero (Ch. IV, Misc. Exs. 8, 27). This shows that the first series is convergent; the second we leave to the reader. In particular the series are convergent.]10. If is a divergent series of positive and decreasing terms, then
11. Prove that if then .
12. Prove that . [It follows from §174 that
and it is easy to deduce that lies between and .]13. Find the sum of the series , where
for all real values of for which the series is convergent.[If is not equal to unity then the series has the sum . If then and the sum is . If then and the series oscillates finitely.]
14. Find the sums of the series
(in which all the indices are powers of ), whenever they are convergent.[The first series converges only if , its sum then being ; the second series converges to if and to if .]
15. If for all values of then the equation
cannot have a root whose modulus is less than , and the only case in which it can have a root whose modulus is equal to is that in which , when is a root.16. Recurring Series. A power series is said to be a recurring series if its coefficients satisfy a relation of the type
(1) |
where and , , …, are independent of . Any recurring series is the expansion of a rational function of . To prove this we observe in the first place that the series is certainly convergent for values of whose modulus is sufficiently small. For let be the greater of the two numbers
Then it follows from the equation (1) that , where is the modulus of the numerically greatest of the preceding coefficients; and from this that , where is independent of . Thus the recurring series is certainly convergent for values of whose modulus is less than .But if we multiply the series by , , …, , and add the results, we obtain a new series in which all the coefficients after the th vanish in virtue of the relation (1), so that
where , , …, are constants. The polynomial is called the scale of relation of the series.Conversely, it follows from the known results as to the expression of any rational function as the sum of a polynomial and certain partial fractions of the type , and from the Binomial Theorem for a negative integral exponent, that any rational function whose denominator is not divisible by can be expanded in a power series convergent for values of whose modulus is sufficiently small, in fact if , where is the least of the moduli of the roots of the denominator (cf. Ch. IV, Misc. Exs. 18 et seq.). And it is easy to see, by reversing the argument above, that the series is a recurring series. Thus the necessary and sufficient condition that a power series should be a recurring series is that it should be the expansion of such a rational function of .
17. Solution of Difference-Equations. A relation of the type of (1) in Ex. 16 is called a linear difference-equation in with constant coefficients. Such equations may be solved by a method which will be sufficiently explained by an example. Suppose that the equation is
Consider the recurring power series . We find, as in Ex. 16, that its sum is where , , and are numbers easily expressible in terms of , , and . Expanding each fraction separately we see that the coefficient of is The values of , , depend upon the first three coefficients , , , which may of course be chosen arbitrarily.18. The solution of the difference-equation is , where and are arbitrary constants.
19. If is a polynomial in of degree , then is a recurring series whose scale of relation is .
20. Expand in ascending powers of .
21. Prove that if is the coefficient of in the expansion of in powers of , then
where is a complex cube root of unity. Deduce that is equal to or or according as is of the form or or , and verify this by means of the identity .22. A player tossing a coin is to score one point for every head he turns up and two for every tail, and is to play on until his score reaches or passes a total . Show that his chance of making exactly the total is .
[If is the probability then . Also , .]
23. Prove that
if is a positive integer and is not one of the numbers , , …, .[This follows from splitting up each term on the right-hand side into partial fractions. When , the result may be deduced very simply from the equation
by expanding and in powers of and integrating each term separately. The result, being merely an algebraical identity, must be true for all values of save , , …, .]24. Prove by multiplication of series that
[The coefficient of will be found to be
Now use Ex. 23, taking .]25. If and as , then
[Let . Then the expression given is equal to
The first term tends to (Ch. IV, Misc. Ex. 27). The modulus of the second is less than , where is any number greater than the greatest value of : and this expression tends to zero.]
26. Prove that if and
then andHence prove that if the series , are convergent and have the sums , , so that , , then
Deduce that if is convergent then its sum is . This result is known as Abel’s Theorem on the multiplication of Series. We have already seen that we can multiply the series , in this way if both series are absolutely convergent: Abel’s Theorem shows that we can do so even if one or both are not absolutely convergent, provided only that the product series is convergent.27. Prove that
[Use Ex. 9 to establish the convergence of the series.]
28. For what values of and is the integral convergent? [If and are positive.]
29. Prove that if then
30. Establish the formulae
In particular, prove that if then
[In this and the succeeding examples it is of course supposed that the arbitrary functions which occur are such that the integrals considered have a meaning in accordance with the definitions of §§177 et seq.]
31. Show that if , where and are positive, then increases steadily from to as increases from to . Hence show that
32. Show that if , where and are positive, then two values of correspond to any value of greater than . Denoting the greater of these by and the less by , show that, as increases from towards , increases from towards , and decreases from to . Hence show that
and that
33. Prove the formula
34. If and are positive, then
Deduce that if , , and are positive, and , then where . Also deduce the last result from Ex. 31, by putting . The last two results remain true when , but their proof is then not quite so simple.35. Prove that if is positive then
36. Extend Schwarz’s inequality (Ch. VII, Misc. Ex. 42) to infinite integrals of the first and second kinds.
37. Prove that if is the function considered at the end of §178 then
38. Prove that
Establish similar results in which the limits of integration are and .
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