微积分英文教材
微积分英文版3

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( x3 4cos x sin1) + x ( 3 x2 + 4sin x )
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有限次四则运算的求导法则
(u ± v)′ = u′ ± v′ (uv)′ = u′v + uv′
(Cu)′ = Cu′ ( C为常数 ) u ′ u′v uv′ (v ≠ 0) ( )= 2 v v
2. 曲线的切线斜率
曲线
在 M 点处的切线 割线 M N 的极限位置 M T (当 时)
y
y = f (x) N
C M
T
切线 MT 的斜率
o α x0
x x
= lim tan
f (x) f (x0 ) 割线 M N 的斜率 tan = x x0
→α
f (x) f (x0 ) k = lim x x0 x→x0
例.
y = x ( x 4cos x sin1) ,
3
3 解: y′ = ( x )′ ( x 4cos x sin1)
( x3 4cos x sin1)′ + x
2 x 1 y′ x=1 = (1 4cos1 sin1) + (3 + 4sin1) 2 7 7 = + sin1 2cos1 2 2
函数的可导性与连续性的关系
定理. 定理 证: 设 存在 , 因此必有 其中 故 所以函数 在点 x 连续 . 在点 x 处可导, 即
x →0
y= x
y
注意: 连续未必可导. 注意 函数在点 x 连续未必可导 反例: 反例 在 x = 0 处连续 , 但不可导.
微积分(下)英文教案资料

Chapter 1 Infinite SeriesGenerally, for the given sequence ,.......,......,3,21n a a a a the expression formed by the sequence ,.......,......,3,21n a a a a .......,.....321+++++n a a a ais called the infinite series of the constants term, denoted by∑∞=1n na, that is∑∞=1n na=.......,.....321+++++n a a a aWhere the nth term is said to be the general term of the series, moreover, the nth partial sum of the series is given by=n S ......321n a a a a ++++1.1 Determine whether the infinite series converges or diverges.While it ’s possible to add two numbers, three numbers, a hundred numbers, or even a million numbers, it ’s impossible to add an infinite number of numbers.To form an infinite series we begin with an infinite sequence of real numbers: .....,,,3210a a a a , we can not form the sum of all the k a (there is an infinite number of the term), but we can form the partial sums∑===0000k k a a S∑==+=1101k k a a a S∑==++=22102k k a a a a S∑==+++=332103k k a a a a a S……………….∑==+++++=nk k n n a a a a a a S 03210.......Definition 1.1.1If the sequence {n S } of partial sums has a finite limit L, We write ∑∞==0k k a Land say that the series ∑∞=0k kaconverges to L. we call L thesum of the series.If the limit of the sequence {n S } of partial sums don ’t exists, we say that the series∑∞=0k kadiverges.Remark it is important to note that the sum of a series is not a sum in the ordering sense. It is a limit.EX 1.1.1 prove the following proposition: Proposition1.1.1: (1) If 1<x then the∑∞=0k k a converges, and;110xx k k -=∑∞=(2)If ,1≥x then the∑∞=0k kxdiverges.Proof: the nth partial sum of the geometric series∑∞=0k katakes the form 1321.......1-+++++=n n x x x x S ① Multiplication by x gives).......1(1321-+++++=n n x x x x x xS =n n x x x x x +++++-1321.......Subtracting the second equation from the first, we find thatn n x S x -=-1)1(. For ,1≠x this givesxx S nn --=11 ③If ,1<x then 0→n x ,and this by equation ③.x xx S n n n n -=--=→→1111lim lim 00 This proves (1).Now let us prove (2). For x=1, we use equation ① and device that ,n S n =Obviously,∞=∞→nn Slim ,∑∞=0k kadiverges.For x=-1 we use equation ① and we deduce If n is odd, then 0=n S , If n is even, then .1-=n SThe sequence of partial sum n S like this 0,-1,0,-1,0,-1………..Because the limit of sequence }{n S of partial sum does not exist. By definition 1.1.1, we have the series ∑∞=0k Kxdiverges.(x=-1).For 1≠x with ,1>x we use equation ③. Since in thisinstance, we have -∞=--=∞→∞→xx S nn n n 11lim lim . The limit of sequence of partial sum not exist, the series∑∞=0k kxdiverges.Remark the above series is called the geometric series. It arises in so many different contexts that it merits special attention.A geometric series is one of the few series where we can actually give an explicit formula for n S ; a collapsing series is another.Ex.1.1.2 Determine whether or not the series converges∑∞=++0)2)(1(1k k k Solution in order to determine whether or not this series converges we must examine the partial sum. Since2111)2)(1(1+-+=++k k k kWe use partial fraction decomposition to write2111111........................41313121211)2111()111(..............)4131()3121()2111()2)(1(1)1(1..............3.212.11+-+++-++-+-+-=+-+++-++-+-+-=++++++⨯+⨯=n n n n n n n n n n n n S n Since all but the first and last occur in pairs with opposite signs, the sum collapses to give 211+-=n S n Obviously, as .1,→∞→n S n this means that the seriesconverges to 1. 1)211(lim lim =+-=∞→∞→n S n n n therefore 1)2)(1(10=++∑∞=n k k EX.1.1.3 proves the following theorem:Theorem 1.1.1 the kth term of a convergent series tends to 0; namely if∑∞=0k kaConverges, by definition we have the limit of thesequence }{n S of partial sums exists. Namelyl a S nk k n n n ==∑=∞→∞→0lim limObviously.lim lim 01l a S nk k n n n ==∑=∞→-∞→since 1--=n n s s a n ,we have0lim lim )(lim lim 11=-=-=-=-∞→∞→-∞→∞→l l S S S S a n n n n n n n n nA change in notation gives 0lim =∞→n k a .The next result is an obviously, but important, consequence of theorem1.1.1. Theorem 1.1.2 (A diverges test) if 0lim ≠∞→k k a , or ifn k a ∞→lim does not exist, then the series ∑∞=0k k a diverges.Caution, theorem 1.1.1 does not say that if 0lim =∞→k k a , and then∑∞=0k kaconverge. In fact, there are divergent series forwhich 0lim =∞→k k a .For example, theseries .....1. (2)11111++++=∑∞=nkk . Since it is sequence }{n S ofpartial sum nn n n S n =>+++=1 (2)111}{ is unbounded. So∞===∞→∞→n S n n n lim lim , therefore the series diverges.But 01lim lim ===∞→∞→ka k k kEX.1.1.3 determine whether or not the series: (54)433221010+++++=+∑∞=k k k Converges. Solution since 01111lim 1limlim ≠=+=+==∞→∞→∞→kk k a k k k k , this seriesdiverges.EX.1.1.4 Determine whether or not the series∑∞=021k kSolution 1 the given series is a geometric series.121,)21(00<==∑∑∞=∞=x and xk k k k, by proposition 1.1.1 we know thatseries converges.Solution 2 ,21 (412111)-++++=n n S ① ,2121.........21212121132n n n S +++++=-②①-② (1-21))211(2,211n n n n S S -=-=.2)211(2lim lim =-=∞→∞→n n n n SBy definition of converges of series, this series converges.EX.1.1.5 proofs the following theorem: Theorem 1.1.2 If the series ∑∑∞=∞=0k kk k band a converges, then(1))(0∑∞=+k k kb aalso converges, and is equal the sum of the twoseries.(2) If C is a real number, then ∑∞=0k kCaalso converges.Moreover ifl ak k=∑∞=0thenCl Cak k=∑∞=0.Proof let ∑∑====nk k nnk k nb S a S20)1(,∑∑===+=nk k nnk k k nCa S b a S40)3(,)(Note that )1()4()2()1()3(n n n n n CS S and S S S =+=Since (),lim ,lim )2(1m S l S n n n n ==∞→∞→ Then m l S S S S S n n n n n n n n n +=+=+=∞→∞→∞→∞→)2()1()2()1()3(lim lim )(lim lim .lim lim lim )1()1()4(Cl S C CS S n n n n n n ===∞→∞→∞→Theorem 1.1.4 (squeeze theorem)Suppose that }{}{n n c and a both converge to l and thatn n n c b a ≤≤ for ,k n ≥(k is a fixed integer), then }{n b alsoconverges to l .Ex.1.1.6 show that 0sin lim3=∞→nnn . Solution For,1≥n ,1)sin (13nn n n ≤≤- since,0)1(lim ,0)1(lim ==-∞→∞→n and nn n the result follows by the squeeze theorem.For sequence of variable sign, it is helpful to have the following result.EX1.1.7 prove that the following theorem holds.Theorem 1.1.5 If 0lim ,0lim==∞→∞→n n n n a then a , Proof since ,n n n a a a ≤≤- from the theorem 1.1.4 Namely the squeeze theorem, we know the result is true.Exercise 1.1(1) An expression of the form 123a a a +++…is called (2) A series 123a a a +++…is said to converge if the sequence{}S n converges, where S n =1. The geometric series 2a ar ar +++…converges if ; in this case the sum of the series is2. If lim 0n n a →∞≠, we can be sure that the series 1nn a∞==∑3. Evaluate 0(1),02k k r r r ∞=-<<∑.4. Evaluate 0(1),11k k k x x ∞=--<<∑.5. Show that 1ln1k kk ∞=+∑diverges. Find the sums of the series 6-116. 31(1)(2)k k k ∞=++∑ 7.112(1)k k k ∞=+∑ 8.11(3)k k k ∞=+∑ 9.0310k k ∞=∑10.0345k k k k ∞=+∑ 11.3023k k k +∞=∑12. Derive the following results from the geometric series 2201(1),||11k k k x x x ∞=-=<+∑. Test the following series for convergence:13. 11n n n ∞=+∑ 14.3012k k ∞+=∑1.2 Series With Positive Terms1.2.1 The comparison TestThroughout this section, we shall assume that our numbers n a are x 0≥, then the partial sum 12n n S a a a =+++… are increasing, i.e. 1231n n S S S S S +≤≤≤≤≤≤……If they are to approach a limit at all, they cannot become arbitrarily large. Thus in that case there is a number B such that n S B ≤ for all n. Such a number B is called an upperbound. By a least upper bound we mean a number S which is an upper bound, and such that every upper bound B is S ≥. We take for granted that a least upper bound exists. The collection of numbers {}n S has therefore a least upper bound, i.e., there is a smallest numbers such that n S S ≤ for all n. In that case, the partial sums n S approach S as a limit. In other words, given any positive number 0ε>, we have n S S S ε-≤≤ for all n sufficiently large.This simply expresses the fact S is the least of all upper bounds for our collection of numbers n S . We express this as a theorem.Theorem 1.2.1 Let {}(1,2,n a n =…) be a sequence of numbers 0≥and let 12n n S a a a =+++…. If the sequence of numbers {}n S is bounded, then it approaches a limit S , which is its least upper bound.Theorem 1.2.2 A series with nonnegative terms converges if and only if the sequence of partial sums is bounded above.Theorem 1.2.1 and 1.2.2 give us a very useful criterion todetermine when a series with positive terms converges.S 1 S 2 S n SThe convergence or divergence of a series with nonnegative terms is usually deduced by comparison with a series of known behavior.Theorem 1.2.3(The Ordinary Comparison Test) Let1nn a∞=∑and1nn b∞=∑be two series, with 0n a ≥ for all n and 0n b ≥ forall n. Assume that there is a numbers 0c >, such that n n a cb ≤ for all n, and that1nn b∞=∑ converges, then1nn a∞=∑converges, and11nn n n ac b ∞∞==≤∑∑.Proof: We have1212121()n n n n n a a a cb cb cb c b b b c b ∞=+++≤+++=+++≤∑……….This means that 1n n c b ∞=∑ is a bound for the partialsums 12n a a a +++….The least upper bound of these sums is therefore 1n n c b ∞=≤∑, thusproving our theorem.Theorem 1.2.3 has an analogue to show that a series does not converge.Theorem 1.2.4(Ordinary Comparison Test) Let1nn a∞=∑ and1nn b∞=∑ be two series, with n a and 0n b ≥ for all n. Assume thatthere is a number 0c > such that n n a cb ≥ for all n sufficiently large, and1nn b∞=∑ does not converge, then1nn a∞=∑ diverges. Proof. Assume n n a cb ≥for 0n n ≥, since 1nn b∞=∑diverges, wecan make the partial sum0001Nnn n N n n bb b b +==+++∑…arbitrarily largeas N becomes arbitrarilylarge. ButNNNnnnn n n n n n a cbc b ===≥=∑∑∑.Hencethepartialsum121NnN n aa a a ==+++∑… are arbitrarily large as N becomes arbitrarilylarge, are hence1nn a∞=∑ diverges, as was to be shown.Remark on notation you have easily seen that for each 0j ≥,kk a∞=∑ converges iff1kk j a∞=+∑ converges. This tells us that, indetermining whether or not a series converges, it does not matter where we begin the summation, where detailed indexing would contribute nothing, we will omit it and write∑without specifying where the summation begins. Forinstance, it makes sense to you that21k ∑ converges and1k ∑diverges without specifying where we begin the summation. But in the convergent case it does, however, affect the sum.Thus for example0122kk ∞==∑, 1112kk ∞==∑, 21122kk ∞==∑, and so forth. Ex 1.2.1 Prove that the series211n n ∞=∑ converges. Solution Let us look at the series:22222222211111111112345781516+++++++++++………We look at the groups of terms as indicated. In each group of terms, if we decrease the denominator in each term, then we increase the fraction. We replace 3 by 2 , then 4,5,6,7 by 4, then we replace the numbers from 8 to 15 by 8, and so forth. Ourpartial sums therefore less than or equal to222222221111111112244488++++++++++……… and we note that 2 occurs twice, 4 occurs four times, 8 occurs eight times, and so forth. Our partial sum are therefore less than or equal to222222221111111112244488++++++++++……… and we note that 2 occurs twice, 4 occurs four times, 8 occurs eight times, and so forth. Hence the partial sums are less than or equal to2222124811124848+++++++1…=1+?2 Thus our partial sums are less than or equal to those of the geometric series and are bounded. Hence our seriesconverges.Generally we have the following result: The series1111111234p p p p p n n n ∞==++++++∑……, where p is a constant, is called a p-series.Proposition1.2.1. If 1p >, the p-series converges; and if1p ≤, then the p-series diverges.Ex 1.2.2 Determine whether the series 2311n n n ∞=+∑ converges.Solution We write 2323111(1)1111n n n n n n ==++++. Then we see that 23111122n n n n≥=+. Since11n n ∞=∑ does not converge, it follows that the series 2311n n n ∞=+∑ does not converge either. Namely thisseries diverges.Ex 1.2.3 Prove the series 241723n n n n ∞=+-+∑ converges.Proof :Indeed we can write2222424334477(1)171331123(2())2()n n n n n n n n n n n n+++==-+-+-+ For n sufficiently large, the factor 23471312()n n n+-+ is certainly bounded, and in fact is near 1/2. Hence we can compare ourseries with21n ∑ to see converges, because ∑21n convergesand the factor is bounded.Ex.1.2.5 Show that1ln()k b +∑ diverges.Solution 1 We know that as k →∞,ln 0kk→. It follows that ln()0k b k b +→+, and thus that ln()ln()0k b k b k bk k b k+++=→+. Thus for k sufficiently large, ln()k b k +< and 11ln()k k b <+. Since 1k ∑diverges, we can conclude that1ln()k b +∑ diverges.Solution 2 Another way to show that ln()k b k +< for sufficiently large k is to examine the function ()ln()f x x x b =-+. At 3x = the function is positive:(3)3ln93 2.1970f =-=->Since '1()10f x x b=->+ for all 0x >, ()0f x > for all 3x >. It follows thatln()x b x +< for all 3x ≥.We come now to a somewhat more comparison theorem. Our proof relies on the basic comparison theorem.Theorem 1.2.5(The Limit Comparison Test) Letka∑ andkb∑ be series with positive terms. If lim()k k ka lb →∞=, where l issome positive number, then ka∑ andkb∑converge ordiverge together.Proof Choose ε between 0 and l , since k ka lb →, weknow for all k sufficiently large (for all k greater than some0k ) ||kka lb ε-<. For suchkwe have kka l lb εε-<<+, and thus()()k k k l b a l b εε-<<+ this last inequality is what we needed.(1) I fka∑converges, then()kl b ε-∑converges, and thuskb∑converges.(2) I fkb∑converges, then()kl bε+∑converges, and thuska∑converges.To apply the limit comparison theorem to a series k a ∑, we must first find a serieskb∑of known behavior for whichkka b converges to a positive number. Ex 1.2.6 Determine whether the series sinkπ∑convergesor diverges.Solution Recall that as sin 0,1x x x →→. As ,0k kπ→∞→ and thussin 1k kππ→. Sincek π∑diverges, sosin()k π∑diverges.Ex 1.2.7 Determine whether theseriesconverges or diverges.Solution For large value of k, dominates thenumeratorand 2k dominates the denominator, thus, forsuch k,252k=. Since22512k÷==→And2255122k k=∑∑converges, this series converges.Theorem 1.2.6 Letka∑and k b∑be series with positive terms and suppose thus 0kkab→, then(1)I fkb∑converges, then k a∑converges.(2)I fka∑diverges, then k b∑diverges.(3)I fka∑converges, then k b∑may converge or diverge.(4)I fkb∑diverges, then k a∑may converge or diverge.[Parts (3) and (4) explain why we stipulated 0l>in theorem1.2.5]1.2.2 The root test and the ratio testTheorem 1.2.7 (the root test, Cauchy test) let ∑k a be a series with nonnegative terms and suppose thatρ==∞→∞→kkkkkkaa1limlim, if ρ<1, ∑k a converges, if ρ>1, ∑k a diverges, if ρ=1, the test is inconclusive.Proof we suppose first ρ<1 and choose μso that1<<u ρ. Since ρ→kk a 1)(, we have μ<k ka 1, for all k sufficientlylarge thus k k a μ< for all k sufficiently large since∑kμconverges (a geometric series with 0<1<μ), we know by theorem 1.2.5 that∑kaconverges.We suppose now that 1>ρand choose μso that 1>>u ρ. since ρ→kk a 1)(, we have μ>kk a 1)( for all k sufficiently large. Thus k k a μ> for all k sufficiently large.Since∑kμdiverges (a geometric series with 1>μ ) thetheorem 1.2.6 tell us that∑kadiverges.To see the inconclusiveness of the root test when 1=ρ, note that 1)(1→kk a for both:112∑∑k and k ,11)1()1()(221121=→==kk kk k ka 11)1()(11→==k k kk kk aThe first series converges, but the second diverges. EX.1.2.7 Determine whether the series ∑k k )(ln 1convergesor diverges.Solution For the series ∑kk )(ln 1, applying the root test we have0ln 1lim)(lim 1==∞→∞→ka k kk k , the series converges. EX.1.2.8 Determine whether series ∑3)(2k kconverges ordiverges.Solution For the series ∑k k)3(2, applying the root test, wehave1212]1[2)1(.2)(3331>=⨯→==k k kk k k a . So the series diverges.EX1.2.9 Determines whether the series kk∑-)11(convergesor diverges.Solution in the case of kk ∑-)11(, we have 111)(1→-=ka k k . Ifapplying the root test, it is inconclusive. But sincek k k a )11(-=converges to e1and not to 0, the series diverges.We continue to consider only series with terms 0≥. To compare such a series with a geometric series, the simplest test is given by the ratio test theoremTheorem 1.2.8 (The ratio test, DAlembert test) let ∑kabea series with positive terms and suppose thatλ=+∞→kk k a a 1lim, If ,1<λ∑kaconverges, if ,1>λ∑kadiverges.If the ,1=λthe test is inconclusive.Proof we suppose first that ,1<λ since 1lim1<=+∞→λkk k a a So there exists some integer N such that if n ≥NC a a nn ≤+1Then N N N N N a C Ca a Ca a 212,1≤≤≤+++ and in general by induction ,N k k N a C a ≤+Thusca c c c c a a c a c ca a aNk N Nk N N N k N Nn n-≤++++≤++++≤∑+=11)........1( (322)Thus in effect, we have compared our series with a geometric series, and we know that the partial sums are bounded. This implies that our series converges.The ratio test is usually used in the case of a series with positive terms n a such that .1lim 1<=+∞→λnn n a a EX.1.2.10 show that the series∑∞=13n nnconverges. Solution we let ,3n n na = then 31.13.3111n n n n a a n n n n +=+=++, this ratioapproaches ∞→n as 31, and hence the ratio test is applicable: the series converges.EX1.2.11 show that the series ∑!k k kdiverges.Solution we have kk kk n n kk k k k k k a a )11()1(!)!1()1(11+=+=++=++ So e ka a k k n n n =+=∞→+∞→)11(lim lim1 Since 1>e , the series diverges. EX.1.2.12 proves the series∑+121k diverges.Solution since kkk k k k a a k k 32123212112.1)1(211++=++=+++=+ 13212limlim 1=++=∞→+∞→kk a a k kk k . Therefore the ratio test is inconclusive. We have to look further. Comparison with the harmonic series shows that the series diverges:∑++=+>+)1(21,11.21)1(21121k k k k dverges. Exercise 1.21. The ordinary comparison test says that if ____ and if∑ib converges. Then ∑kaalso converges.2. Assume that 00>≥k k b and a . The limit comparison Test says that if 0<____<+∞ then ∑kaand∑kbconverges or divergetogether. 3. Let nn n a a 1lim+∞→=ρ. The ratio Test says that a series ∑kaofpositive terms converges if ___, diverges if ____and may do either if ___.Determine whether the series converges or diverges 4.∑+13k k5.∑+2)12(1k 6.∑+11k 7.∑-kk 2218. ∑+-1tan 21k k9.∑321k10. ∑-k )43( 11.∑k kln 12.∑!10k k13. ∑k k 114.∑k k 100!15.∑++k k k 6232 16.kk ∑)32( 17.∑+k 11.18.∑k k 410!19. Let }{n a be a sequence of positive number and assume that na a n n 111-≥+ for all n. show that the series ∑nadiverges.1.3 Alternatingseries,Absolute convergenceandconditional convergenceIn this section we consider series that have both positive and negative terms.1.3.1 Alternating series and the tests for convergence The series of the form .......4321+-+-u u u u is called the alternating series, where 0>n u for all n, here two example:∑∞=--=+-+-+-11)1(....61514131211n n n ,11)1( (65544332211)+-=+-+-+-∑∞=n n nWe see from these examples that the nth term of an alternating series is the form n n n n n n u a or u a )1()1(1-=-=-, where n u is a positive number (in fact n n a u =.)The following test says that if the terms of an alternating series decrease toward 0 in absolute value, then the series converges.Theorem 1.3.1 (Leibniz Theorem)If the alternating seriesnn nu∑∞=-1)1(satisfy:(1) 1+≥n n u u (n=1,2………); (2) 0lim =∞→n n u ,then the series converges. Moreover, it is sum 1u s ≤, and the error n r make by using n s of the first n terms to approximate the sum s of the series is not more than 1+n u , that is, 1+≤n n u r namely 1+≤-=n n n u s s r .Before giving the proof let us look at figure 1.3.1 which gives a picture of the idea behind the proof. We first plot 11u s =on a number line.To find 2s we subtract 2u , so 2s is the left of 1s . Then to find3s we add 3u , so 3s is to the right of 2s . But, since 3u <2u , 3s is tothe left of 1s . Continuing in this manner, we see that the partial sums oscillate back and forth. Since 0→n u , the successive steps are becoming smaller and smaller. The even partial sums,........,,642s s s are increasing and the odd partial sums,........,,531s s s are decreasing. Thus it seems plausible that both areconverging to some number s, which is the sum of the series. Therefore, in the following proof we consider the even and odd partial sums separatelyWe give the following proof of the alternating series test. Wefirst consider the even partial sums: ,0212≥-=u u s Since 12u u ≤,)(24324s u u s s ≥-+= since u u ≤4In general, 22212222)(---≥-+=n n n n n s u u s s since 122-≤n n u u Thus .........................02642≤≤≤≤≤≤n s s s s But we can also writen n n n u u u u u u u u s 21222543212)(....)()(--------=--Every term in brackets is positive, so 12u s n ≤ for all n. therefore, the sequence }{2n s of even partial sums is increasing and bounded above. It is therefore convergent by the monotonic sequence theorem. Let ’s call it is limit s, that is, s s n n =∞→2limNow we compute the limit of the odd partial sums:scondition by s u s u s s n n n n n n n n n =+=+=+=+∞→∞→+∞→+∞→))2((0lim lim )(lim lim 12212212Since both the even and odd partial sums converge to s, we have s s n n =∞→lim , and so the series is convergent.EX.1.3.1 shows that the following alternating harmonic series is convergent:.)1( (41312111)1∑∞=--=+-+-n n n Solution the alternating harmonic series satisfies (1) nu n u n n 1111=<+=+; (2) 01lim lim ==∞→∞→n u n n n So the series is convergent by alternating series Test.Ex. 1.3.2 Test the series ∑∞=--1143)1(n n n nfor convergence anddivergence.Solution the given series is alternating but 043143lim 143limlim ≠=-=-=∞→∞→∞→nn n u n n n n So condition (2) is not satisfied. Instead, we look at the limit of the nth term of the series: 143)1(lim lim --=∞→∞→n na n n n This limit does not exist, so the series diverges by the test for divergence.EX.1.3.3 Test the series ∑∞=+-121)1(n nn for convergence ordivergence.Solution the given series is alternating so we try to verify conditions (1) and (2) of the alternating series test.Unlike the situation in example 1.3.1, it is not obvious the sequence given by 12+=n nu n is decreasing. If we consider the related function1)(2+=x xx f ,we easily find that 10)1(1)1(21)(22222222'><+-=+-+=x whenver x x x x x x f . Thus f is decreasing on [1,∞) and so )1()(+>n f n f . Therefore,}{n u is decreasingWe may also show directly that n n u u <+1, that is11)1(122+<+++n nn n This inequality it equivalent to the one we get by cross multiplication:nn n n n n n n n n n n n n n n +<⇔++<+++⇔++<++⇔+<+++2232322221221]1)1[()1)(1(11)1(1Since 1≥n , we know that the inequality 12>+n n is true. Therefore, n n u u <+1and }{n u is decreasing. Condition (2) is readily verified:011lim 1lim lim 2=+=+=∞→∞→∞→nn n n nu n n n n , thus the given series is convergent by the Alternating series Test.1.3.2 Absolute and conditional convergenceIn this section we consider series that have both positive and negative terms. Absolute and conditional convergence. Definition 1.3.1 suppose that the series ∑∞=1k kais not series withpositive terms, if the series∑∞=1k kaformed with the absolutevalue of the terms n a converges, the series ∑∞=1k kais calledabsolutely convergent. The series ∑∞=1k kais called conditionallyconvergent, if the series∑∞=1k kaconverges but∑∞=1k kadiverges.Theorem 1.3.2 if∑kaconverges, the ∑k a converges.Proof for each k, k k k a a a ≤≤-, and therefore k k k a a a 20≤+≤.if∑kaconverges, then∑∑=k ka a22converges, and therefore,by theorem 1.2.3 (the ordinary comparison theorem),∑+)(k ka aconverges. Since k k k k a a a a -+=)(by the theorem1.1.2 (1), we can conclude that∑kais convergence.The above theorem we just proved says that Absolutely convergent series are convergent.As well show presently, the converse is false. There are convergent series that are not absolutely convergent; such series are called conditionally convergent.EX.1.3.4 Prove the following series is absolutely convergent (5141312112)222++-+-Proof If we replace term by it ’s absolute value, we obtain the series (4)131211222++++This is a P series with P=2. It is therefore convergent. This means that the initial series is absolutely convergent.EX.1.3.5 proves that the following series is absolutely convergent: (2)12121212121212118765432+--+--+--Proof if we replace each term by its absolute value, we obtain。
超实用!ap微积分教材推荐

超实用!ap微积分教材推荐正在进行ap微积分备考的同学们,你们使用的是哪些ap微积分教材呢?在今天的文章中,留学小编就为同学们推荐了6本极为实用的教材:Cracking the ap calculus AB&BC exams 2008 Edition、Barron''s ap Calculus with CD-ROM、Barron’s ap微积分2008、Kaplan ap Calculus AB & BC 2009、《高等数学》和《微积分》以及高中数学课本,希望大家能够重视!提前预祝各位考生能够在ap微积分考试取得满意成绩!ap微积分课程包括微积分AB (Calculus AB) 和微积分BC(Calculus BC)两门课。
开设Calculus ap 课程的学校或者自学的同学,应该在高一高二进行合理安排,确定课程计划,以保证把学习微积分应具备的知识先行学习完毕。
下面,小编就为大家推荐几本及其实用的ap微积分教材,希望可以同学们在ap微积分考试中取得满意成绩!1.Cracking the ap calculus AB&BC exams 2008 Edition作者:David S.Kahn 2.Barron''s ap Calculus with CD-ROM (Paperback)作者:Shirley O. Hockett,David Bock Barron''s Educational Series3.Barron’s ap微积分2008(附1张cd-rom)作者:张鑫(译)世界图书出版公司北京公司4.Kaplan ap Calculus AB & BC 2009(Kaplan ap Calculus Ab and Bc)作者:Ruby Kaplan Publishing5.中文参考书:高等教育出版社出版的《高等数学》和《微积分》以及高中数学课本。
微积分英文版2

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外国经典高等数学教材

外国经典高等数学教材高等数学是一门重要的基础学科,为深入理解和应用数学提供了必要的工具和思维方式。
在全球范围内,外国经典高等数学教材在这一学科领域具有重要的地位和影响力。
本文将介绍一些外国经典高等数学教材以及它们的特点和优势。
一、《Thomas' Calculus》《Thomas' Calculus》是由美国数学家George B. Thomas撰写的一套经典高等数学教材。
该教材全面涵盖了微积分的各个领域,从基本的微分和积分开始,逐步深入讲解了微积分的概念、技巧和应用。
它以其清晰的讲解风格、丰富的例题和充分的习题练习而闻名,被广泛应用于各个高校的高等数学教学中。
二、《Advanced Engineering Mathematics》《Advanced Engineering Mathematics》是由英国数学家Erwin Kreyszig编写的一本高等数学经典教材。
该教材强调数学在工程学科中的应用,包括了常微分方程、偏微分方程、线性代数等内容。
其独特之处在于融合了数学理论和实际工程问题,将抽象的数学概念与实际问题相结合,帮助学生更好地理解和应用数学。
三、《Mathematical Analysis》《Mathematical Analysis》是法国数学家Jean Dieudonné编写的一套高等数学教材。
该教材注重推理和证明的训练,着重介绍数学分析中的定义、定理和证明方法。
它以其严谨的逻辑推理、完整的数学体系和深入的数学思想而受到学者们的推崇。
《Mathematical Analysis》被广泛应用于数学专业的教学和研究领域,为学生打下坚实的数学基础。
四、《Linear Algebra and Its Applications》《Linear Algebra and Its Applications》是由美国数学家Gilbert Strang 编写的一本高等数学教材。
国外数学经典教材

国外数学经典教材数学是一门普遍认为有一定难度的学科,但是透过合适的教材,学习数学将会大大容易许多。
在国外,有一些经典的教材被广泛使用并备受赞誉。
本文将为大家介绍一些国外的数学经典教材。
1.《高等代数》(Higher Algebra)这本教材由英国数学家哈罗德·道·韦斯本(Harold Davenport)所著,是一本被广泛认可的高等代数教材。
该教材以深入浅出的方式讲解了代数的各个方面,从线性代数到环论和域论等。
它涵盖了大量的例题和习题,并且给出了详细的解答和解题思路。
这本教材不仅适合大学本科生,也适合对代数感兴趣的高年级中学生。
2.《微积分》(Calculus: Early Transcendentals)由美国数学家詹姆斯·斯图尔特(James Stewart)所著,《微积分:早期应用》是一本广泛使用的微积分教材。
该教材覆盖了微积分的各个方面,包括极限、导数、积分以及微分方程等内容。
它以清晰的语言和丰富的图表展示了复杂的数学概念,并提供了大量的实例和练习题来帮助学生巩固知识。
3.《线性代数及其应用》(Linear Algebra and Its Applications)由美国数学家戴维·莱(David Lay)所编写,《线性代数及其应用》是一本经典的线性代数教材。
该教材介绍了线性代数的核心概念,包括向量空间、线性变换、特征值和特征向量等。
它提供了大量的实际应用示例,将线性代数与实际问题相结合,使学生能够更好地理解和应用所学知识。
4.《数理统计学:基本概念与实际应用》(Mathematical Statistics with Applications)这本教材是由美国统计学家丹尼斯·韦克勒(Dennis Wackerly)等人合著的,介绍了统计学的基本概念和实际应用。
它详细讲解了统计数据的收集、分析和推断等内容,同时提供了大量的案例和实际数据进行讲解。
AP微积分学教材分享
AP微积分学教材分享
据360教育集团介绍:我们今天重点介绍一下AP微积分教材,AP微积分课程包括微积分AB (Calculus AB) 和微积分BC(Calculus BC)两门课。
据360教育集团介绍,开设Calculus AP课程的学校或者自学的同学,应该在高一高二进行合理安排,确定课程计划,以保证把学习微积分应具备的知识先行学习完毕。
目前,经过检验,比较成熟和普遍使用的AP微积分教材有以下几种:
1.Cracking the AP calculus AB&BC exams 2008 Edition
作者:David S.Kahn
2.Barron‘s AP Calculus with CD-ROM (Paperback)
作者:Shirley O. Hockett,David Bock Barron’s Educational Series
3.Barron’s AP微积分2008(附1张cd-rom)
作者:张鑫(译 )世界图书出版公司北京公司
4.Kaplan AP Calculus AB & BC 2009(Kaplan Ap Calculus Ab and Bc)
作者:Ruby Kaplan Publishing
5.中文参考书:高等教育出版社出版的《高等数学》和《微积分》以及高中数学课本。
以上就是AP微积分学用的6本教材,由于AP微积分是一门大学水平的课程,具有挑战性,因此欲学习的学生必须具有坚实的数学基础。
微积分BC是微积分AB的延伸和扩展,不过对共同内容的理解深度和要求却是一致的。
翻译本:微积分
SYLLABUS (Calculus 1)Course informationCourse : 微積分Textbook : Calculus by Larson, Hostetler, Edwards, 8e翻譯本:微積分 張海潮譯 (第八版)E-mail :****************.twOffice : 行政大樓十樓 50室TEL : 381280Topics第一週函數;函數圖形第二週三角函數第三週§1.3 極限第四週§1.3~ 1.4 極限;單側極限第五週§1.4 連續和單側極限第六週§1.5 無窮極限第七週§3.5 在無窮遠處的極限第八週§2.1~ 2.3 導數和切線;基本微分規則第九週Midterm 1第十週§2.4 連鎖法則第十一週§2.5 隱微分法第十二週Midterm 2 (Chapter 2)第十三週§3.1 區間上的極值第十四週§3.3 函數的遞增、遞減和一階導數檢定第十五週§4.1 反導數和不定積分第十六週§4.3~ §4.4 定積分;微積分基本定理第十七週§4.5 變數代換法求不定積分第十八週 Final (Chapter 3 and 4 )Course Goal (課程目標)本課程目標在訓練學生邏輯思考能力並使學生熟習微積分的知識與計算技巧,以期能將所學應用於各專業科目,完成更高學問之追求。
Classroom Tasks (教學方法)本課程之教學以課堂上書寫黑板授課為主,必要時以電腦輔助教學以協助學生徹底瞭解。
鼓勵學生回答問題及發問問題。
嚴格要求上課秩序,要求學生注意聽講,課後立刻練習。
Grading Policy (評分方式)Participation and Attendance 10 %Quizzes 25 % Midterms 40 % (20 % each) Final 25 %Office HoursMonday to Friday 9:00 a.m. ~ 3:00 p.m.。
微积分故事英文版
微积分故事英文版Title: The Tale of Calculus: An English NarrativeIntroduction:The story of calculus is a fascinating journey through the annals of mathematical history.This narrative provides an engaging and informative account of the development of calculus, capturing the essence of its origins and evolution in the English language.Join us as we explore the intriguing tale of one of the most significant branches of mathematics.Chapter 1: The Birth of CalculusIn the 17th century, two brilliant minds, Isaac Newton and Gottfried Wilhelm Leibniz, laid the foundation for calculus.They independently developed the principles that would revolutionize mathematics and science.The story begins with their quest to understand the fundamental concepts of change and infinity.Chapter 2: Isaac Newton"s FluxionsIsaac Newton, an English physicist, and mathematician, developed a method called "fluxions" to study the rates of change of quantities.He focused on finding the tangent lines to curves and the areas under curves.Newton"s approach involved infinitesimals, which were infinitely small quantities that helped him manipulate and calculate derivativesand integrals.Chapter 3: Gottfried Wilhelm Leibniz"s Infinitesimal CalculusConcurrently, Gottfried Wilhelm Leibniz, a German philosopher, and mathematician, was working on a similar concept.He named his system "infinitesimal calculus" and introduced a more systematic notation, including the familiar symbols for integration anddifferentiation.Leibniz"s approach emphasized the use of infinite series and the manipulation of infinitesimals.Chapter 4: The ControversyThe story of calculus took an interesting turn when the controversy between Newton and Leibniz emerged.Both claimed to have invented calculus independently, leading to a bitter dispute overpriority.However, today, they are both recognized as the co-founders of calculus, each contributing valuable insights and techniques to the field.Chapter 5: The Development of CalculusAs calculus evolved, mathematicians expanded its applications and refined its theoretical foundation.Notable contributors, such as Augustin-Louis Cauchy, Bernhard Riemann, and Karl Weierstrass, developed the epsilon-delta definition of limits, improved the understanding of real numbers, and introduced the concept of uniform convergence.Chapter 6: Modern CalculusIn the 20th century, calculus experienced a renaissance with the advent of new mathematical theories and techniques.The study of complex analysis, vector calculus, and differential equations expanded the scope of calculus, enabling scientists and engineers to solve intricate problems in various fields, including physics, biology, economics, and computer science.Conclusion:The tale of calculus is a testament to human ingenuity and the pursuit of knowledge.From the pioneering works of Newton and Leibniz to the modern advancements in the field, calculus has transformed the way we understand and interact with the world.This story, now retold in the English language, highlights the importance of calculus in shaping the course of mathematics and science.。
高等数学(微积分学)专业术语名词概念定理等英汉对照
高等数学(微积分学)专业术语名词概念定理等英汉对照目录第一部分英汉微积分词汇Part 1 English-Chinese Calculus Vocabulary第一章函数与极限Chapter 1 function and Limi t (1)第二章导数与微分Chapter 2 Derivative and Differential (2)第三章微分中值定理Chapter 3 Mean Value theorem of differentials and the Application of Derivatives (3)第四章不定积分Chapter 4 Indefinite Intergrals (3)第五章定积分Chapter 5 Definite Integral (3)第六章定积分的应用Chapter 6 Application of the Definite Integrals (4)第七章空间解析几何与向量代数Chapter 7 Space Analytic Geomertry and Vector Algebra (4) 第八章多元函数微分法及其应用Chapter 8 Differentiation of functions Several variables and Its Application (5)第九章重积分Multiple Integrals (6)第十章曲线积分与曲面积分Chapter 10 Line(Curve ) Integrals and Surface Integral s (6) 第十一章无穷级数Chapter 11 Infinite Series (6)第十二章微分方程Chapter 12 Differential Equation (7)第二部分定理定义公式的英文表达Part 2 English Expression for Theorem,Definition and Formula第一章函数与极限Chapter 1 Function and Limi t (19)1.1映射与函数(Mapping and Function ) (19)1.2数列的极限(Limit of the Sequence of Number) (20)1.3函数的极限(Limit of Function) (21)1.4无穷小与无穷大(Infinitesimal and Inifinity) (23)1.5极限运算法则(Operation Rule of Limit) (24)1.6极限存在准则两个重要的极限(Rule for theExistence of Limits Two Important Limits) (25)1.7无穷小的比较(The Comparison of infinitesimal) (26)1.8函数的连续性与间断点(Continuity of FunctionAnd Discontinuity Points) (28)1.9连续函数的运酸与初等函数的连续性(OperationOf Continuous Functions and Continuity ofElementary Functions) (28)1.10闭区间上联系汗水的性质(Properties ofContinuous Functions on a Closed Interval) (30)第二章导数与数分Chapter2 Derivative and Differential (31)2.1 导数的概念(The Concept of Derivative) (31)2.2 函数的求导法则(Rules for Finding Derivatives) (33)2.3 高阶导数(Higher-order Derivatives) (34)2.4 隐函数及由参数方程所确定的函数的导数相关变化率(Derivatives ofImplicit Functions and Functions Determined by Parametric Equation andCorrelative Change Rate) (34)2.5 函数的微分(Differential of a Function) (35)第三章微分中值定理与导数的应用Chapter 3 Mean Value Theorem of Differentials and theApplication of Derivatives (36)3.1 微分中值定理(The Mean Value Theorem) (36)3.2 洛必达法则(L’Hopital’s Rule) (38)3.3 泰勒公式(Taylor’s Formula) (41)3.4 函数的单调性和曲线的凹凸性(Monotonicityof Functions and Concavity of Curves) (43)3.5 函数的极值与最大最小值(Extrema, Maximaand Minima of Functions) (46)3.6 函数图形的描绘(Graphing Functions) (49)3.7 曲率(Curvature) (50)3.8 方程的近似解(Solving Equation Numerically) (53)第四章不定积分Chapter 4Indefinite Integrals (54)4.1 不定积分的概念与性质(The Concept andProperties of Indefinite Integrals) (54)4.2 换元积分法(Substitution Rule for Indefinite Integrals) (56)4.3 分部积分法(Integration by Parts) (57)4.4 有理函数的积分(Integration of Rational Functions) (58)第五章定积分Chapter 5 Definite Integrals (61)5.1 定积分的概念和性质(Concept of Definite Integraland its Properties) (61)5.2 微积分基本定理(Fundamental Theorem of Calculus) (67)5.3 定积分的换元法和分部积分法(Integration by Substitution andDefinite Integrals by Parts) (69)5.4 反常积分(Improper Integrals) (70)第六章定积分的应用Chapter 6 Applications of the Definite Integrals (75)6.1 定积分的元素法(The Element Method of Definite Integra (75)6.2 定积分在几何学上的应用(Applications of the DefiniteIntegrals to Geometry) (76)6.3 定积分在物理学上的应用(Applications of the DefiniteIntegrals to Physics) (79)第七章空间解析几何与向量代数Chapter 7 Space Analytic Geometry and Vector Algebar (80)7.1 向量及其线性运算(Vector and Its Linear Operation) (80)7.2 数量积向量积(Dot Product and Cross Product) (86)7.3 曲面及其方程(Surface and Its Equation) (89)7.4 空间曲线及其方程(The Curve in Three-space and Its Equation (91)7.5 平面及其方程(Plane in Space and Its Equation) (93)7.6 空间直线及其方程(Lines in and Their Equations) (95)第八章多元函数微分法及其应用Chapter 8 Differentiation of Functions of SeveralVariables and Its Application (99)8.1 多元函数的基本概念(The Basic Concepts of Functionsof Several Variables) (99)8.2 偏导数(Partial Derivative) (102)8.3 全微分(Total Differential) (103)8.4 链式法则(The Chain Rule) (104)8.5 隐函数的求导公式(Derivative Formula for Implicit Functions). (104)8.6 多元函数微分学的几何应用(Geometric Applications of Differentiationof Ffunctions of Severalvariables) (106)8.7方向导数与梯度(Directional Derivatives and Gradients) (107)8.8多元函数的极值(Extreme Value of Functions of Several Variables) (108)第九章重积分Chapter 9 Multiple Integrals (111)9.1二重积分的概念与性质(The Concept of Double Integralsand Its Properities) (111)9.2二重积分的计算法(Evaluation of double Integrals) (114)9.3三重积分(Triple Integrals) (115)9.4重积分的应用(Applications of Multiple Itegrals) (120)第十章曲线积分与曲面积分Chapte 10 Line Integrals and Surface Integrals (121)10.1 对弧长的曲线积分(line Intergrals with Respect to Arc Length) (121)10.2 对坐标的曲线积分(Line Integrals with respect toCoordinate Variables) (123)10.3 格林公式及其应用(Green's Formula and Its Applications) (124)10.4 对面积的曲面积分(Surface Integrals with Respect to Aarea) (126)10.5 对坐标的曲面积分(Surface Integrals with Respect toCoordinate Variables) (128)10.6 高斯公式通量与散度(Gauss's Formula Flux and Divirgence) (130)10.7 斯托克斯公式环流量与旋度(Stokes's Formula Circulationand Rotation) (131)第十一章无穷级数Chapter 11 Infinite Series (133)11.1 常数项级数的概念与性质(The concept and Properties ofThe Constant series) (133)11.2 常数项级数的审敛法(Test for Convergence of the Constant Series) (137)11.3 幂级数(power Series). (143)11.4 函数展开成幂级数(Represent the Function as Power Series) (148)11.5 函数的幂级数展开式的应用(the Appliacation of the Power Seriesrepresentation of a Function) (148)11.6 函数项级数的一致收敛性及一致收敛级数的基本性质(The UnanimousConvergence of the Series of Functions and Its properties) (149)11.7 傅立叶级数(Fourier Series) (152)11.8 一般周期函数的傅立叶级数(Fourier Series of Periodic Functions) (153)第十二章微分方程Chapter 12 Differential Equation (155)12.1微分方程的基本概念(The Concept of DifferentialEquation) (155)12.2可分离变量的微分方程(Separable Differential Equation) (156)12.3齐次方程(Homogeneous Equation) (156)12.4 一次线性微分方程(Linear Differential Equation of theFirst Order) (157)12.5全微分方程(Total Differential Equation) (158)12.6可降阶的高阶微分方程(Higher-order DifferentialEquation Turned to Lower-order DifferentialEquation) (159)12.7高阶线性微分方程(Linear Differential Equation of HigherOrder) (159)12.8常系数齐次线性微分方程(Homogeneous LinearDifferential Equation with Constant Coefficient) (163)12.9常系数非齐次线性微分方程(Non HomogeneousDifferential Equation with Constant Coefficient) (164)12.10 欧拉方程(Euler Equation) (164)12.11 微分方程的幂级数解法(Power Series Solutionto Differential Equation) (164)第三部分常用数学符号的英文表达Part 3 English Expression of the Mathematical Symbol in Common Use第一部分英汉微积分词汇Part1 English-Chinese Calculus V ocabulary 第一章函数与极限Chapter1 Function and Limit集合set元素element子集subset空集empty set并集union交集intersection差集difference of set基本集basic set补集complement set直积direct product笛卡儿积Cartesian product开区间open interval闭区间closed interval半开区间half open interval有限区间finite interval区间的长度length of an interval无限区间infinite interval领域neighborhood领域的中心centre of a neighborhood领域的半径radius of a neighborhood左领域left neighborhood右领域right neighborhood 映射mappingX到Y的映射mapping of X ontoY 满射surjection单射injection一一映射one-to-one mapping双射bijection算子operator变化transformation函数function逆映射inverse mapping复合映射composite mapping自变量independent variable因变量dependent variable定义域domain函数值value of function函数关系function relation值域range自然定义域natural domain单值函数single valued function多值函数multiple valued function 单值分支one-valued branch函数图形graph of a function绝对值函数absolute value符号函数sigh function整数部分integral part阶梯曲线step curve当且仅当if and only if(iff)分段函数piecewise function上界upper bound下界lower bound有界boundedness无界unbounded函数的单调性monotonicity of a function 单调增加的increasing单调减少的decreasing单调函数monotone function函数的奇偶性parity(odevity) of a function对称symmetry偶函数even function奇函数odd function函数的周期性periodicity of a function周期period反函数inverse function直接函数direct function复合函数composite function中间变量intermediate variable函数的运算operation of function基本初等函数basic elementary function初等函数elementary function幂函数power function指数函数exponential function对数函数logarithmic function三角函数trigonometric function反三角函数inverse trigonometric function 常数函数constant function双曲函数hyperbolic function双曲正弦hyperbolic sine双曲余弦hyperbolic cosine双曲正切hyperbolic tangent反双曲正弦inverse hyperbolic sine反双曲余弦inverse hyperbolic cosine反双曲正切inverse hyperbolic tangent极限limit数列sequence of number收敛convergence收敛于 a converge to a发散divergent极限的唯一性uniqueness of limits收敛数列的有界性boundedness of a convergent sequence子列subsequence函数的极限limits of functions函数()f x当x趋于x0时的极限limit of functions () f x as x approaches x0左极限left limit右极限right limit单侧极限one-sided limits水平渐近线horizontal asymptote无穷小infinitesimal无穷大infinity铅直渐近线vertical asymptote夹逼准则squeeze rule单调数列monotonic sequence高阶无穷小infinitesimal of higher order低阶无穷小infinitesimal of lower order同阶无穷小infinitesimal of the same order 等阶无穷小equivalent infinitesimal函数的连续性continuity of a function增量increment函数()f x在x0连续the function ()f x is continuous at x0左连续left continuous右连续right continuous区间上的连续函数continuous function函数()f x在该区间上连续function ()f x is continuous on an interval不连续点discontinuity point第一类间断点discontinuity point of the first kind第二类间断点discontinuity point of the second kind初等函数的连续性continuity of the elementary functions定义区间defined interval最大值global maximum value (absolute maximum)最小值global minimum value (absolute minimum)零点定理the zero point theorem介值定理intermediate value theorem第二章导数与微分Chapter2 Derivative and Differential速度velocity匀速运动uniform motion平均速度average velocity瞬时速度instantaneous velocity圆的切线tangent line of a circle切线tangent line切线的斜率slope of the tangent line位置函数position function导数derivative可导derivable函数的变化率问题problem of the change rate of a function 导函数derived function左导数left-hand derivative右导数right-hand derivative单侧导数one-sided derivatives()f x在闭区间【a,b】上可导()f x is derivable on the closed interval [a,b]切线方程tangent equation角速度angular velocity成本函数cost function边际成本marginal cost链式法则chain rule隐函数implicit function显函数explicit function二阶函数second derivative三阶导数third derivative高阶导数nth derivative莱布尼茨公式Leibniz formula对数求导法log- derivative参数方程parametric equation相关变化率correlative change rata微分differential可微的differentiable函数的微分differential of function自变量的微分differential of independent variable微商differential quotient间接测量误差indirect measurement error 绝对误差absolute error 相对误差relative error第三章微分中值定理与导数的应用Chapter3 MeanValue Theorem of Differentials and the Application of Derivatives 罗马定理Rolle’s theorem费马引理Fermat’s lemma拉格朗日中值定理Lagrange’s mean value theorem驻点stationary point稳定点stable point临界点critical point辅助函数auxiliary function拉格朗日中值公式Lagrange’s mean value formula柯西中值定理Cauchy’s mean value theorem洛必达法则L’Hospital’s Rule0/0型不定式indeterminate form of type 0/0不定式indeterminate form泰勒中值定理Taylor’s mean value theorem泰勒公式Taylor formula余项remainder term拉格朗日余项Lagrange remainder term 麦克劳林公式Maclaurin’s formula佩亚诺公式Peano remainder term凹凸性concavity凹向上的concave upward, cancave up凹向下的,向上凸的concave downward’concave down拐点inflection point函数的极值extremum of function极大值local(relative) maximum最大值global(absolute) mximum极小值local(relative) minimum最小值global(absolute) minimum目标函数objective function曲率curvature弧微分arc differential平均曲率average curvature曲率园circle of curvature曲率中心center of curvature曲率半径radius of curvature渐屈线evolute渐伸线involute根的隔离isolation of root隔离区间isolation interval切线法tangent line method第四章不定积分Chapter4 Indefinite Integrals原函数primitive function(antiderivative) 积分号sign of integration被积函数integrand积分变量integral variable积分曲线integral curve积分表table of integrals换元积分法integration by substitution分部积分法integration by parts分部积分公式formula of integration by parts有理函数rational function真分式proper fraction假分式improper fraction第五章定积分Chapter5 Definite Integrals曲边梯形trapezoid with曲边curve edge窄矩形narrow rectangle曲边梯形的面积area of trapezoid with curved edge积分下限lower limit of integral积分上限upper limit of integral积分区间integral interval分割partition积分和integral sum可积integrable矩形法rectangle method积分中值定理mean value theorem of integrals函数在区间上的平均值average value of a function on an integvals牛顿-莱布尼茨公式Newton-Leibniz formula微积分基本公式fundamental formula of calculus换元公式formula for integration by substitution 递推公式recurrence formula反常积分improper integral反常积分发散the improper integral is divergent反常积分收敛the improper integral is convergent无穷限的反常积分improper integral on an infinite interval无界函数的反常积分improper integral of unbounded functions绝对收敛absolutely convergent第六章定积分的应用Chapter6 Applications of the Definite Integrals元素法the element method面积元素element of area平面图形的面积area of a luane figure直角坐标又称“笛卡儿坐标(Cartesian coordinates)”极坐标polar coordinates抛物线parabola椭圆ellipse旋转体的面积volume of a solid of rotation旋转椭球体ellipsoid of revolution, ellipsoid of rotation曲线的弧长arc length of acurve可求长的rectifiable光滑smooth功work水压力water pressure引力gravitation变力variable force第七章空间解析几何与向量代数Chapter7 Space Analytic Geometry and Vector Algebra向量vector自由向量free vector单位向量unit vector零向量zero vector相等equal平行parallel向量的线性运算linear poeration of vector 三角法则triangle rule平行四边形法则parallelogram rule交换律commutative law结合律associative law负向量negative vector差difference分配律distributive law空间直角坐标系space rectangular coordinates坐标面coordinate plane卦限octant向量的模modulus of vector向量a与b的夹角angle between vector a and b方向余弦direction cosine方向角direction angle向量在轴上的投影projection of a vector onto an axis数量积,外积,叉积scalar product,dot product,inner product 曲面方程equation for a surface球面sphere旋转曲面surface of revolution母线generating line轴axis圆锥面cone顶点vertex旋转单叶双曲面revolution hyperboloids of one sheet旋转双叶双曲面revolution hyperboloids of two sheets柱面cylindrical surface ,cylinder圆柱面cylindrical surface准线directrix抛物柱面parabolic cylinder二次曲面quadric surface椭圆锥面dlliptic cone椭球面ellipsoid单叶双曲面hyperboloid of one sheet双叶双曲面hyperboloid of two sheets旋转椭球面ellipsoid of revolution椭圆抛物面elliptic paraboloid旋转抛物面paraboloid of revolution双曲抛物面hyperbolic paraboloid马鞍面saddle surface 椭圆柱面elliptic cylinder双曲柱面hyperbolic cylinder抛物柱面parabolic cylinder空间曲线space curve空间曲线的一般方程general form equations of a space curve 空间曲线的参数方程parametric equations of a space curve螺转线spiral螺矩pitch投影柱面projecting cylinder投影projection平面的点法式方程pointnorm form eqyation of a plane法向量normal vector平面的一般方程general form equation of a plane两平面的夹角angle between two planes 点到平面的距离distance from a point to a plane空间直线的一般方程general equation of a line in space方向向量direction vector直线的点向式方程pointdirection form equations of a line方向数direction number直线的参数方程parametric equations of a line两直线的夹角angle between two lines垂直perpendicular直线与平面的夹角angle between a line and a planes平面束pencil of planes平面束的方程equation of a pencil of planes行列式determinant系数行列式coefficient determinant第八章多元函数微分法及其应用Chapter8 Differentiation of Functions of Several Variables and Its Application一元函数function of one variable多元函数function of several variables内点interior point外点exterior point边界点frontier point,boundary point聚点point of accumulation开集openset闭集closed set连通集connected set开区域open region闭区域closed region有界集bounded set无界集unbounded setn维空间n-dimentional space二重极限double limit多元函数的连续性continuity of function of seveal连续函数continuous function不连续点discontinuity point一致连续uniformly continuous偏导数partial derivative对自变量x的偏导数partial derivative with respect to independent variable x高阶偏导数partial derivative of higher order二阶偏导数second order partial derivative 混合偏导数hybrid partial derivative全微分total differential偏增量oartial increment偏微分partial differential全增量total increment可微分differentiable必要条件necessary condition充分条件sufficient condition叠加原理superpostition principle全导数total derivative中间变量intermediate variable隐函数存在定理theorem of the existence of implicit function 曲线的切向量tangent vector of a curve法平面normal plane向量方程vector equation向量值函数vector-valued function切平面tangent plane法线normal line方向导数directional derivative梯度gradient 数量场scalar field梯度场gradient field向量场vector field势场potential field引力场gravitational field引力势gravitational potential曲面在一点的切平面tangent plane to a surface at a point曲线在一点的法线normal line to a surface at a point无条件极值unconditional extreme values 条件极值conditional extreme values拉格朗日乘数法Lagrange multiplier method拉格朗日乘子Lagrange multiplier经验公式empirical formula最小二乘法method of least squares均方误差mean square error第九章重积分Chapter9 Multiple Integrals二重积分double integral可加性additivity累次积分iterated integral体积元素volume element三重积分triple integral直角坐标系中的体积元素volume element in rectangular coordinate system柱面坐标cylindrical coordinates柱面坐标系中的体积元素volume element in cylindrical coordinate system球面坐标spherical coordinates球面坐标系中的体积元素volume element in spherical coordinate system反常二重积分improper double integral曲面的面积area of a surface质心centre of mass静矩static moment密度density形心centroid转动惯量moment of inertia参变量parametric variable第十章曲线积分与曲面积分Chapter10 Line(Curve)Integrals and Surface Integrals对弧长的曲线积分line integrals with respect to arc hength第一类曲线积分line integrals of the first type对坐标的曲线积分line integrals with respect to x,y,and z第二类曲线积分line integrals of the second type有向曲线弧directed arc单连通区域simple connected region复连通区域complex connected region格林公式Green formula第一类曲面积分surface integrals of the first type对面的曲面积分surface integrals with respect to area有向曲面directed surface对坐标的曲面积分surface integrals with respect to coordinate elements第二类曲面积分surface integrals of the second type有向曲面元element of directed surface高斯公式gauss formula拉普拉斯算子Laplace operator格林第一公式Green’s first formula通量flux散度divergence斯托克斯公式Stokes formula环流量circulation旋度rotation,curl第十一章无穷级数Chapter11 Infinite Series一般项general term部分和partial sum余项remainder term等比级数geometric series几何级数geometric series公比common ratio调和级数harmonic series柯西收敛准则Cauchy convergence criteria, Cauchy criteria for convergence正项级数series of positive terms达朗贝尔判别法D’Alembert test柯西判别法Cauchy test 交错级数alternating series绝对收敛absolutely convergent条件收敛conditionally convergent柯西乘积Cauchy product函数项级数series of functions发散点point of divergence收敛点point of convergence收敛域convergence domain和函数sum function幂级数power series幂级数的系数coeffcients of power series 阿贝尔定理Abel Theorem收敛半径radius of convergence收敛区间interval of convergence泰勒级数Taylor series麦克劳林级数Maclaurin series二项展开式binomial expansion近似计算approximate calculation舍入误差round-off error,rounding error欧拉公式Euler’s formula魏尔斯特拉丝判别法Weierstrass test三角级数trigonometric series振幅amplitude角频率angular frequency初相initial phase矩形波square wave谐波分析harmonic analysis直流分量direct component基波fundamental wave二次谐波second harmonic三角函数系trigonometric function system 傅立叶系数Fourier coefficient傅立叶级数Forrier series周期延拓periodic prolongation正弦级数sine series余弦级数cosine series奇延拓odd prolongation偶延拓even prolongation傅立叶级数的复数形式complex form of Fourier series第十二章微分方程Chapter12 Differential Equation解微分方程solve a dirrerential equation 常微分方程ordinary differential equation偏微分方程partial differential equation,PDE微分方程的阶order of a differential equation微分方程的解solution of a differential equation微分方程的通解general solution of a differential equation初始条件initial condition微分方程的特解particular solution of a differential equation 初值问题initial value problem微分方程的积分曲线integral curve of a differential equation 可分离变量的微分方程variable separable differential equation 隐式解implicit solution隐式通解inplicit general solution衰变系数decay coefficient衰变decay齐次方程homogeneous equation一阶线性方程linear differential equation of first order非齐次non-homogeneous齐次线性方程homogeneous linear equation非齐次线性方程non-homogeneous linear equation常数变易法method of variation of constant暂态电流transient stata current稳态电流steady state current伯努利方程Bernoulli equation全微分方程total differential equation积分因子integrating factor高阶微分方程differential equation of higher order悬链线catenary高阶线性微分方程linera differential equation of higher order 自由振动的微分方程differential equation of free vibration强迫振动的微分方程differential equation of forced oscillation 串联电路的振荡方程oscillation equation of series circuit二阶线性微分方程second order linera differential equation线性相关linearly dependence线性无关linearly independce二阶常系数齐次线性微分方程second order homogeneour linear differential equation with constant coefficient二阶变系数齐次线性微分方程second order homogeneous linear differential equation with variable coefficient特征方程characteristic equation无阻尼自由振动的微分方程differential equation of free vibration with zero damping 固有频率natural frequency 简谐振动simple harmonic oscillation,simple harmonic vibration微分算子differential operator待定系数法method of undetermined coefficient共振现象resonance phenomenon欧拉方程Euler equation幂级数解法power series solution数值解法numerial solution勒让德方程Legendre equation微分方程组system of differential equations常系数线性微分方程组system of linera differential equations with constant coefficient第二部分定理定义公式的英文表达Part2 English Expression for Theorem, Definition and Formula第一章函数与极限Chapter 1 Function and Limit1.1 映射与函数 (Mapping and Function)一、集合 (Set)二、映射 (Mapping)映射概念 (The Concept of Mapping) 设X , Y 是两个非空集合 , 如果存在一个法则f ,使得对X 中每个元素x ,按法则f ,在Y 中有唯一确定的元素y 与之对应 , 则称f 为从X 到 Y 的映射 , 记作:f X Y →。
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Chapter 1 Infinite SeriesGenerally, for the given sequence,.......,......,3,21n a a a a theexpression formed by the sequence ,.......,......,3,21n a a a a .......,.....321+++++n a a a ais called the infinite series of the constants term, denoted by ∑∞=1n n a , that is∑∞=1n n a =.......,.....321+++++n a a a aWhere the nth term is said to be the general term of the series, moreover, the nth partial sum of the series is given by=n S ......321n a a a a ++++Determine whether the infinite series converges or diverges.Whil e it’s possible to add two numbers, three numbers, a hundred numbers, or even a million numbers, it’s impossible to add an infinite number of numbers.To form an infinite series we begin with an infinite sequence of real numbers: .....,,,3210a a a a , we can not form the sum of all the k a (there is an infinite number of the term), but we can form the partial sums∑===0000k k a a S∑==+=1101k k a a a S∑==++=22102k k a a a a S∑==+++=332103k k a a a a a S……………….∑==+++++=nk k n n a a a a a a S 03210.......Definition 1.1.1If the sequence {n S } of partial sums has a finite limit L, We write ∑∞==0k k a Land say that the series ∑∞=0k k a converges to L. we call L thesum of the series.If the limit of the sequence {n S } of partial sums don’t exists, we say that the series ∑∞=0k k a diverges.Remark it is important to note that the sum of a series is not a sum in the ordering sense. It is a limit.EX 1.1.1 prove the following proposition: Proposition1.1.1:(1) If 1<x then the ∑∞=0k k a converges, and ;110xx k k -=∑∞= (2)If ,1≥x then the ∑∞=0k k x diverges.Proof: the nth partial sum of the geometric series ∑∞=0k k atakes the form 1321.......1-+++++=n n x x x x S ① Multiplication by x gives).......1(1321-+++++=n n x x x x x xS =n n x x x x x +++++-1321.......Subtracting the second equation from the first, we find thatn n x S x -=-1)1(. For ,1≠x this givesxx S nn --=11 ③If ,1<x then 0→n x ,and this by equation ③.x x x S n n n n -=--=→→1111lim lim 00 This proves (1).Now let us prove (2). For x=1, we use equation ① and device that ,n S n =Obviously, ∞=∞→n n S lim , ∑∞=0k k a diverges.For x=-1 we use equation ① and we deduce If n is odd, then 0=n S , If n is even, then .1-=n S ThesequenceofpartialsumnS like this0,-1,0,-1,0,-1………..Because the limit of sequence }{n S of partial sum does not exist.By definition 1.1.1, we have the series ∑∞=0k K x diverges. (x=-1).For 1≠x with ,1>x we use equation ③. Since in thisinstance, we have -∞=--=∞→∞→xx S nn n n 11lim lim . The limit of sequence of partial sum not exist, the series ∑∞=0k k x diverges.Remark the above series is called the geometric series. It arises in so many different contexts that it merits special attention.A geometric series is one of the few series where we can actually give an explicit formula for n S ; a collapsing series is another.Ex.1.1.2 Determine whether or not the series converges∑∞=++0)2)(1(1k k k Solution in order to determine whether or not this series converges we must examine the partial sum. Since2111)2)(1(1+-+=++k k k kWe use partial fraction decomposition to write2111111........................41313121211)2111()111(..............)4131()3121()2111()2)(1(1)1(1..............3.212.11+-+++-++-+-+-=+-+++-++-+-+-=++++++⨯+⨯=n n n n n n n n n n n n S nSince all but the first and last occur in pairs with opposite signs, the sum collapses to give 211+-=n S n Obviously, as .1,→∞→n S n this means that the series convergesto 1. 1)211(lim lim =+-=∞→∞→n S n n n therefore 1)2)(1(10=++∑∞=n k k 1.1.3 p the following theorem:Theorem 1.1.1 the kth term of a convergent series tends to 0; namely if∑∞=0k kaConverges, by definition we have the limit of the sequence}{n S of partial sums exists. Namelyl a S nk k n n n ==∑=∞→∞→0lim limObviously .lim lim1l a S nk k n n n ==∑=∞→-∞→since 1--=n n s s a n, we have 0lim lim )(lim lim 11=-=-=-=-∞→∞→-∞→∞→l l S S S S a n n n n n n n n nA change in notation gives 0lim =∞→n k a .The next result is an obviously, but important, consequence of theorem1.1.1. Theorem (A diverges test) if 0lim ≠∞→k k a , or ifn k a ∞→lim does not exist, then the series ∑∞=0k k a diverges.Caution, theorem 1.1.1 does not say that if 0lim =∞→k k a , and then∑∞=0k kaconverge. In fact, there are divergent series forwhich 0lim =∞→k k a .For example, theseries.....1. (2)11111++++=∑∞=nkk . Since it is sequence}{n S of partial sumnnn nS n =>+++=1 (2)111}{ is unbounded. So∞===∞→∞→n S n n n lim lim , therefore the series diverges.But 01lim lim ===∞→∞→ka k k kEX.1.1.3 determine whether or not the series: (54)433221010+++++=+∑∞=k k k Converges. Solution since 01111lim 1limlim ≠=+=+==∞→∞→∞→kk k a k k k k , this series diverges.EX.1.1.4 Determine whether or not the series∑∞=021k kSolution 1 the given series is a geometric series.121,)21(00<==∑∑∞=∞=x and x k k k k , by proposition 1.1.1 we know that series converges.Solution 2 ,21 (412111)-++++=n n S ① ,2121.........21212121132n n n S +++++=-②①-② (1-21))211(2,211n n n n S S -=-=.2)211(2lim lim =-=∞→∞→nn n n S By definition of converges of series, this series converges.1.1.5 p the following theorem: Theorem 1.1.2 If the series ∑∑∞=∞=00k kk k banda converges, then(1) )(0∑∞=+k k k b a also converges, and is equal the sum of the twoseries.(2) If C is a real number, then ∑∞=0k k Ca also converges.Moreover if l a k k =∑∞=0then Cl Ca k k =∑∞=0.Proof let ∑∑====nk k nn k k nb S a S20)1(,∑∑===+=nk k nn k k k nCa S b a S40)3(,)(Note that )1()4()2()1()3(n n n n n CS S and S S S =+=Since (),lim ,lim )2(1m S l S n n n n ==∞→∞→ Then m l S S S S S n n n n n n n n n +=+=+=∞→∞→∞→∞→)2()1()2()1()3(lim lim )(lim lim .lim lim lim )1()1()4(Cl S C CS S n n n n n n ===∞→∞→∞→Theorem 1.1.4 (squeeze theorem)Suppose that }{}{n n c and a both converge to l and thatn n n c b a ≤≤ for ,k n ≥(k is a fixed integer), then }{n b alsoconverges to l .Ex.1.1.6 show that 0sin lim3=∞→nnn .Solution For,1≥n ,1)sin (13nn n n ≤≤- since,0)1(lim ,0)1(lim ==-∞→∞→n and nn n the result follows by the squeeze theorem.For sequence of variable sign, it is helpful to have the following result.EX1.1.7 prove that the following theorem holds.Theorem 1.1.5 If 0lim ,0lim==∞→∞→n n n n a then a , Proof since ,n n n a a a ≤≤- from the theorem 1.1.4 Namely the squeeze theorem, we know the result is true.Exercise(1) An expression of the form 123a a a +++…is called (2) A series 123a a a +++…is said to converge if the sequence{}S n converges, where S n =1. The geometric series 2a ar ar +++…converges if ; in this case the sum of the series is2. If lim 0n n a →∞≠, we can be sure that the series 1n n a ∞==∑3. Evaluate 0(1),02k k r r r ∞=-<<∑.4. Evaluate 0(1),11k k k x x ∞=--<<∑.5. Show that 1ln1k kk ∞=+∑diverges. Find the sums of the series 6-116. 31(1)(2)k k k ∞=++∑ 7.112(1)k k k ∞=+∑ 8.11(3)k k k ∞=+∑ 9.0310k k ∞=∑10.0345k k k k ∞=+∑ 11.3023k k k +∞=∑12. Derive the following results from the geometric series 2201(1),||11k k k x x x∞=-=<+∑. Test the following series for convergence:13. 11n n n ∞=+∑ 14.3012k k ∞+=∑1.2 Series With Positive Terms1.2.1 The comparison TestThroughout this section, we shall assume that our numbers n a are x 0≥, then the partial sum 12n n S a a a =+++… are increasing, .1231n n S S S S S +≤≤≤≤≤≤……If they are to approach a limit at all, they cannot become arbitrarily large. Thus in that case there is a number B such that n S B ≤ for all n. Such a number B is called an upper bound. By a least upper bound we mean a number S which is an upper bound, and such that every upper bound B is S ≥. We take for granted that a least upper bound exists. The collection of numbers {}n S has therefore a least upper bound, ., there is a smallest numbers such that n S S ≤ for all n. In that case, the partial sums n S approach S as a limit. In other words, givenany positive number 0ε>, we have n S S S ε-≤≤ for all n sufficiently large.This simply expresses the fact S is the least of all upper bounds for our collection of numbers n S . We express this as a theorem.Theorem 1.2.1 Let {}(1,2,n a n =…) be a sequence of numbers0≥and let 12n n S a a a =+++…. If the sequence of numbers {}n S isbounded, then it approaches a limit S , which is its least upper bound.Theorem 1.2.2 A series with nonnegative terms converges if and only if the sequence of partial sums is bounded above.Theorem 1.2.1 and give us a very useful criterion to determine when a series with positive terms converges.The convergence or divergence of a series with nonnegative terms is usually deduced by comparison with a series of known behavior.Theorem 1.2.3(The Ordinary Comparison Test) Let 1n n a ∞=∑and1nn b∞=∑be two series, with 0n a ≥ for all n and 0n b ≥for all n.S 1 S 2 S n SAssume that there is a numbers 0c >, such that n n a cb ≤ for all n, and that1nn b∞=∑ converges, then1nn a∞=∑converges, and11nn n n ac b ∞∞==≤∑∑.Proof: We have1212121()n n n n n a a a cb cb cb c b b b c b ∞=+++≤+++=+++≤∑……….This means that 1n n c b ∞=∑ is a bound for the partialsums 12n a a a +++….The least upper bound of these sums is therefore 1n n c b ∞=≤∑, thusproving our theorem.Theorem 1.2.3 has an analogue to show that a series does not converge.Theorem 1.2.4(Ordinary Comparison Test) Let 1n n a ∞=∑ and 1n n b ∞=∑be two series, with n a and 0n b ≥ for all n. Assume that there is a number 0c > such that n n a cb ≥ for all n sufficiently large, and 1n n b ∞=∑ does not converge, then 1n n a ∞=∑ diverges.Proof. Assume n n a cb ≥for 0n n ≥, since 1n n b ∞=∑diverges, we canmake the partial sum0001Nnn n N n n bb b b +==+++∑…arbitrarily large as N becomes arbitrarily large. But 0N N N n n n n n n n n n a cb c b ===≥=∑∑∑. Hence the partial sum 121Nn N n a a a a ==+++∑…are arbitrarily large as N becomes arbitrarily large, are hence1nn a∞=∑ diverges, as was to be shown.Remark on notation you have easily seen that for each 0j ≥,kk a∞=∑ converges iff1kk j a∞=+∑ converges. This tells us that, indetermining whether or not a series converges, it does not matter where we begin the summation, where detailed indexing would contribute nothing, we will omit it and write ∑without specifying where the summation begins. For instance, it makes sense to you that 21k ∑converges and 1k∑ diverges without specifying where we begin the summation. But in the convergent case it does, however, affect the sum. Thus for example0122k k ∞==∑, 1112k k ∞==∑, 21122kk ∞==∑, and so forth. Ex 1.2.1 Prove that the series 211n n ∞=∑converges. Solution Let us look at the series:22222222211111111112345781516+++++++++++………We look at the groups of terms as indicated. In each group ofterms, if we decrease the denominator in each term, then we increase the fraction. We replace 3 by 2 , then 4,5,6,7 by 4, then we replace the numbers from 8 to 15 by 8, and so forth.Our partial sums therefore less than or equal to222222221111111112244488++++++++++……… and we note that 2 occurs twice, 4 occurs four times, 8 occurs eight times, and so forth.Our partial sum are therefore less than or equal to222222221111111112244488++++++++++……… and we note that 2 occurs twice, 4 occurs four times, 8 occurs eight times, and so forth. Hence the partial sums are less than or equal to2222124811124848+++++++1…=1+?2 Thus our partial sums are less than or equal to those of the geometric series and are bounded. Hence our series converges.Generally we have the following result: The series1111111234p p p p pn nn ∞==++++++∑……, where p is a constant, is called a p-series.Proposition1.2.1. If 1p >, the p-series converges; and if1p ≤, then the p-series diverges.Ex 1.2.2 Determine whether the series 2311n n n ∞=+∑ converges.Solution We write 2323111(1)1111n n n n n n ==++++. Then we see that23111122n n n n ≥=+. Since 11n n ∞=∑ does not converge, it follows that the series 2311n n n ∞=+∑ does not converge either. Namely this seriesdiverges.Ex 1.2.3 Prove the series 241723n n n n ∞=+-+∑ converges.Proof :Indeed we can write2222424334477(1)171331123(2())2()n n n n n n n n n n n n+++==-+-+-+ For n sufficiently large, the factor23471312()n n n+-+ is certainly bounded, and in fact is near 1/2. Hence we can compare our series with 21n ∑to see converges, because ∑21n converges and the factor is bounded.Ex.1.2.5 Show that 1ln()k b +∑diverges.Solution 1 We know that as k →∞,ln 0kk→. It follows that ln()0k b k b +→+, and thus that ln()ln()0k b k b k bk k b k+++=→+. Thus for k sufficiently large, ln()k b k +< and 11ln()k k b <+. Since 1k ∑diverges, we can conclude that 1ln()k b +∑diverges.Solution 2 Another way to show that ln()k b k +< forsufficiently large k is to examine the function ()ln()f x x x b =-+. At 3x = the function is positive:(3)3ln93 2.1970f =-=->Since '1()10f x x b=->+ for all 0x >, ()0f x > for all 3x >. It follows thatln()x b x +< for all 3x ≥.We come now to a somewhat more comparison theorem. Our proof relies on the basic comparison theorem.Theorem 1.2.5(The Limit Comparison Test) Let k a ∑ and k b ∑ be series with positive terms. If lim()k k ka lb →∞=, where l is somepositive number, then ka∑ andkb∑converge or divergetogether.Proof Choose ε between 0 and l , since k ka lb →, we know forall k sufficiently large (for all k greater than some 0k )||kka lb ε-<. For such k we have kka l lb εε-<<+, and thus ()()k k k l b a l b εε-<<+ this last inequality is what we needed. (1)If k a ∑converges, then ()k l b ε-∑converges, and thuskb∑converges.(2)If k b ∑converges, then ()k l b ε+∑converges, and thuska∑converges.To apply the limit comparison theorem to a series k a ∑, we must first find a series k b ∑of known behavior for whichkka b converges to a positive number. Ex 1.2.6 Determine whether the series sin kπ∑converges ordiverges.Solution Recall that as sin 0,1x x x →→. As ,0k kπ→∞→ and thussin 1k kππ→. Since k π∑diverges, so sin()k π∑diverges.Ex 1.2.7 Determine whether theseriesconverges or diverges.Solution For large value of k, dominates the numeratorand 2k dominates the denominator, thus, for such k,252k=. Since22512k ÷==→And 2255122k k =∑∑converges, this series converges. Theorem 1.2.6 Let k a ∑ and k b ∑ be series with positive terms and suppose thus0kka b →, then (1) If k b ∑converges, then k a ∑converges. (2) If k a ∑diverges, then k b ∑diverges.(3)If k a ∑converges, then k b ∑may converge or diverge.(4)If k b ∑diverges, then k a ∑may converge or diverge.[Parts (3) and (4) explain why we stipulated 0l >in theorem 1.2.5]1.2.2 The root test and the ratio testTheorem 1.2.7 (the root test, Cauchy test) let ∑k a be a series with nonnegative terms and suppose thatρ==∞→∞→k kk k k k a a 1lim lim , if ρ<1,∑kaconverges, if ρ>1,∑kadiverges, if ρ=1, the test is inconclusive.Proof we suppose first ρ<1 and choose μ so that 1<<u ρ.Since ρ→kk a 1)(, we have μ<k ka 1, for all k sufficiently large thus k k a μ< for all k sufficiently large since ∑k μ converges (a geometric series with 0<1<μ), we know by theorem 1.2.5 that∑kaconverges.We suppose now that 1>ρand choose μso that 1>>u ρ. sinceρ→k k a 1)(, we have μ>kk a 1)( for all k sufficiently large. Thusk k a μ> for all k sufficiently large.Since ∑k μ diverges (a geometric series with 1>μ ) the theorem 1.2.6 tell us that ∑k a diverges.To see the inconclusiveness of the root test when 1=ρ, note that 1)(1→kk a for both:112∑∑k and k ,11)1()1()(221121=→==kk kk k ka 11)1()(11→==k k kk kk aThe first series converges, but the second diverges. EX.1.2.7 Determine whether the series ∑kk )(ln 1converges or diverges.Solution For the series ∑kk )(ln 1, applying the root test we have0ln 1lim)(lim 1==∞→∞→ka k kk k , the series converges. EX.1.2.8 Determine whether series ∑3)(2k kconverges ordiverges.Solution For the series ∑k k)3(2, applying the root test,we have1212]1[2)1(.2)(3331>=⨯→==k k kk k k a . So the series diverges.EX1.2.9 Determines whether the series kk∑-)11(converges ordiverges.Solution in the case of kk ∑-)11(, we have 111)(1→-=ka k k . Ifapplying the root test, it is inconclusive. But sincek k k a )11(-=converges to e1and not to 0, the series diverges.We continue to consider only series with terms 0≥. Tocompare such a series with a geometric series, the simplest test is given by the ratio test theoremTheorem 1.2.8 (The ratio test, DAlembert test) let ∑k a be a series with positive terms and suppose thatλ=+∞→kk k a a 1lim, If ,1<λ ∑k a converges, if ,1>λ ∑k a diverges. If the ,1=λthe test is inconclusive.Proof we suppose first that ,1<λ since 1lim1<=+∞→λkk k a a So there exists some integer N such that if n ≥NC a a nn ≤+1Then N N N N N a C Ca a Ca a 212,1≤≤≤+++ and in general by induction ,N k k N a C a ≤+Thusca c c c c a a c a c ca a aNk N Nk N N N k N Nn n-≤++++≤++++≤∑+=11)........1( (322)Thus in effect, we have compared our series with a geometric series, and we know that the partial sums are bounded. This implies that our series converges.The ratio test is usually used in the case of a series with positive terms n a such that .1lim1<=+∞→λnn n a a EX.1.2.10 show that the series ∑∞=13n nnconverges.Solution we let ,3n n na = then 31.13.3111n n n n a a n n n n +=+=++, this ratioapproaches ∞→n as 31, and hence the ratio test is applicable: the series converges.EX1.2.11 show that the series ∑!k k kdiverges.Solution we have kk kk n n kk k k k k k a a )11()1(!)!1()1(11+=+=++=++ So e ka a k k n n n =+=∞→+∞→)11(lim lim1 Since 1>e , the series diverges. 1.2.12 p the series ∑+121k diverges. Solution since kkk k k k a a k k 32123212112.1)1(211++=++=+++=+ 13212limlim 1=++=∞→+∞→kk a a k kk k . Therefore the ratio test is inconclusive. We have to look further. Comparison with the harmonic series shows that the series diverges:∑++=+>+)1(21,11.21)1(21121k k k k dverges. Exercise1. The ordinary comparison test says that if ____ and if∑ib converges. Then ∑kaalso converges.2. Assume that 00>≥k k b and a . The limit comparison Test says that if 0<____<+∞ then ∑k a and ∑k b converges or divergetogether. 3. Let nn n a a 1lim+∞→=ρ. The ratio Test says that a series ∑k a of positive terms converges if ___, diverges if ____and may do either if ___.Determine whether the series converges or diverges 4. ∑+13k k5. ∑+2)12(1k6. ∑+11k7. ∑-kk 221 8. ∑+-1tan 21k k 9. ∑321k 10. ∑-k)43( 11. ∑k k ln 12. ∑!10k k13. ∑k k 1 14. ∑k k 100!15. ∑++k k k 6232 16. kk ∑)32( 17.∑+k11.18. ∑kk 410!19. Let }{n a be a sequence of positive number and assume thatna a n n 111-≥+ for all n. show that the series ∑n a diverges.Alternating series, Absolute convergence and conditional convergenceIn this section we consider series that have both positive and negative terms.1.3.1 Alternating series and the tests for convergence The series of the form .......4321+-+-u u u u is called the alternating series, where 0>n u for all n, here two example:∑∞=--=+-+-+-11)1(....61514131211n n n ,11)1( (65544332211)+-=+-+-+-∑∞=n n nWe see from these examples that the nth term of an alternating series is the form n n n n n n u a or u a )1()1(1-=-=-, where n u is a positive number (in fact n n a u =.)The following test says that if the terms of an alternating series decrease toward 0 in absolute value, then the series converges.Theorem 1.3.1 (Leibniz Theorem)If the alternating series n n nu ∑∞=-1)1(satisfy:(1) 1+≥n n u u (n=1,2………); (2) 0lim =∞→n n u ,then the series converges. Moreover, it is sum 1u s ≤, and the error n r make by using n s of the first n terms to approximate the sum s of the series is not more than 1+n u , that is, 1+≤n n u r namely 1+≤-=n n n u s s r .Before giving the proof let us look at figure 1.3.1 which gives a picture of the idea behind the proof. We first plot 11u s =on a number line.To find 2s we subtract 2u , so 2s is the left of 1s . Then to find3s we add 3u , so 3s is to the right of 2s . But, since 3u <2u , 3s isto the left of 1s . Continuing in this manner, we see that thepartial sums oscillate back and forth. Since 0→n u , the successive steps are becoming smaller and smaller. The even partial sums ,........,,642s s s are increasing and the odd partial sums,........,,531s s s are decreasing. Thus it seems plausible that both areconverging to some number s, which is the sum of the series. Therefore, in the following proof we consider the even and odd partial sums separatelyWe give the following proof of the alternating series test. We first consider the even partial sums: ,0212≥-=u u s Since 12u u ≤,)(24324s u u s s ≥-+= since u u ≤4In general, 22212222)(---≥-+=n n n n n s u u s s since 122-≤n n u u Thus .........................02642≤≤≤≤≤≤n s s s s But we can also writen n n n u u u u u u u u s 21222543212)(....)()(--------=--Every term in brackets is positive, so 12u s n ≤ for all n. therefore, the sequence }{2n s of even partial sums is increasing and bounded above. It is therefore convergent by the monotonic sequence theorem. Let’s call it is limit s, that is, s s n n =∞→2limNow we compute the limit of the odd partial sums:scondition by s u s u s s n n n n n n n n n =+=+=+=+∞→∞→+∞→+∞→))2((0lim lim )(lim lim 12212212Since both the even and odd partial sums converge to s, we have s s n n =∞→lim , and so the series is convergent.EX.1.3.1 shows that the following alternating harmonic series is convergent:.)1( (41312111)1∑∞=--=+-+-n n n Solution the alternating harmonic series satisfies (1) nu n u n n 1111=<+=+; (2) 01lim lim ==∞→∞→n u n n n So the series is convergent by alternating series Test.Ex. 1.3.2 Test the series ∑∞=--1143)1(n n n nfor convergence anddivergence.Solution the given series is alternating but 043143lim 143limlim ≠=-=-=∞→∞→∞→nn n u n n n n So condition (2) is not satisfied. Instead, we look at the limit of the nth term of the series: 143)1(lim lim --=∞→∞→n na n n n This limit does not exist, so the series diverges by the test for divergence.EX.1.3.3 Test the series ∑∞=+-121)1(n nn for convergence ordivergence.Solution the given series is alternating so we try to verifyconditions (1) and (2) of the alternating series test. Unlike the situation in example 1.3.1, it is not obvious the sequence given by 12+=n nu n is decreasing. If we consider the related function1)(2+=x xx f ,we easily find that 10)1(1)1(21)(22222222'><+-=+-+=x whenver x x x x x x f . Thus f is decreasing on [1,∞) and so )1()(+>n f n f . Therefore,}{n u is decreasingWe may also show directly that n n u u <+1, that is11)1(122+<+++n n n n This inequality it equivalent to the one we get by cross multiplication:nn n n n n n n n n n n n n n n +<⇔++<+++⇔++<++⇔+<+++2232322221221]1)1[()1)(1(11)1(1Since 1≥n , we know that the inequality 12>+n n is true. Therefore, n n u u <+1and }{n u is decreasing. Condition (2) is readily verified:011lim 1lim lim 2=+=+=∞→∞→∞→nn n n nu n n n n , thus the given series is convergent by the Alternating series Test. 1.3.2 Absolute and conditional convergenceIn this section we consider series that have both positive andnegative terms. Absolute and conditional convergence. Definition 1.3.1 suppose that the series ∑∞=1k k a is not serieswith positive terms, if the series∑∞=1k kaformed with theabsolute value of the terms n a converges, the series ∑∞=1k k a iscalled absolutely convergent. The series∑∞=1k kais calledconditionally convergent, if the series ∑∞=1k k a converges but∑∞=1k kadiverges.Theorem 1.3.2 if ∑k a converges, the ∑k a converges. Proofforeachk,kk k a a a ≤≤-, and thereforekk k a a a 20≤+≤.if∑kaconverges,then∑∑=k ka a22converges, and therefore, by theorem 1.2.3 (theordinary comparison theorem),∑+)(k ka aconverges. Sincek k k k a a a a -+=)(by the theorem (1), we can conclude that∑kais convergence.The above theorem we just proved says that Absolutely convergent series are convergent.As well show presently, the converse is false. There are convergent series that are not absolutely convergent; such series are called conditionally convergent.1.3.4 P the following series is absolutely convergent (5)141312112222++-+-Proof If we replace term by it’s absolute value, we obtain the series (41)31211222++++This is a P series with P=2. It is therefore convergent. This means that the initial series is absolutely convergent. 1.3.5 p that the following series is absolutely convergent: (2)12121212121212118765432+--+--+--Proof if we replace each term by its absolute value, we obtain the series: (2)12121212121212118765432+++++++=+This is a convergent geometric series. The initial series is therefore absolutely convergent.1.3.6 p that the following series is only conditionally convergent:∑∞=-=++-+-+-1)1(.............61514131211n nnProof the given series is convergent. Since (1) ,1111nu n u n n =<+=+(2) 01lim lim ==∞→∞→n u n n n , So this series is convergent by the alternating series test, but it is not absolutely.Convergent: if we replace each term by it is absolute value,。