Presentation is loading. Please wait.

Presentation is loading. Please wait.

CorePure2 Chapter 2 :: Series

Similar presentations


Presentation on theme: "CorePure2 Chapter 2 :: Series"β€” Presentation transcript:

1 CorePure2 Chapter 2 :: Series
Last modified: 7th August 2018

2 www.drfrostmaths.com Everything is completely free. Why not register?
Register now to interactively practise questions on this topic, including past paper questions and extension questions (including MAT + UKMT). Teachers: you can create student accounts (or students can register themselves), to set work, monitor progress and even create worksheets. With questions by: Dashboard with points, trophies, notifications and student progress. Questions organised by topic, difficulty and past paper. Teaching videos with topic tests to check understanding.

3 Chapter Overview 1:: Method of differences 2:: Maclaurin Expansions
Those who have done either IGCSE Mathematics, IGCSE Further Mathematics or Additional Mathematics would have encountered this content. Otherwise it will be completely new! 1:: Method of differences 2:: Maclaurin Expansions Representing functions as a power series (i.e. infinitely long polynomial) 𝑒 π‘₯ =1+π‘₯+ π‘₯ 2 2! + π‘₯ 3 3! +… 3:: Maclaurin Expansions for Composite Functions β€œGiven that terms in π‘₯ 𝑛 , 𝑛>4 may be neglected, use the series for 𝑒 π‘₯ and sin π‘₯ to show that 𝑒 sin π‘₯ β‰ˆ1+π‘₯+ π‘₯ 2 2 ” Teacher Note: This is just the two old FP2 chapters on Method of Differences and Maclaurin Expansions/Taylor Series. Taylor Series has been moved to (the new) FP1.

4 STARTER – Round 1! 1 2 Γ— 2 3 Γ— 3 4 ×…× π‘›βˆ’1 𝑛 = 𝟏 𝒏 ? ?
1βˆ’ βˆ’ βˆ’ … 1βˆ’ 1 𝑛 2 = πŸβˆ’ 𝟏 𝟐 𝟏+ 𝟏 𝟐 πŸβˆ’ 𝟏 πŸ‘ 𝟏+ 𝟏 πŸ‘ … πŸβˆ’ 𝟏 𝒏 𝟏+ 𝟏 𝒏 = 𝟏 𝟐 Γ— πŸ‘ 𝟐 Γ— 𝟐 πŸ‘ Γ— πŸ’ πŸ‘ Γ— πŸ‘ πŸ’ Γ— πŸ“ πŸ’ ×…× π’βˆ’πŸ 𝒏 Γ— 𝒏+𝟏 𝒏 = 𝒏+𝟏 πŸπ’ ? ?

5 STARTER – Round 2! Fro Hint: Perhaps write out the first few terms? π‘Ÿ=1 𝑛 1 π‘Ÿ βˆ’ 1 π‘Ÿ+1 = 𝟏 𝟏 βˆ’ 𝟏 𝟐 + 𝟏 𝟐 βˆ’ 𝟏 πŸ‘ +…+ 𝟏 𝒏 βˆ’ 𝟏 𝒏+𝟏 =πŸβˆ’ 𝟏 𝒏+𝟏 = 𝒏 𝒏+𝟏 ? ! If 𝑒 𝑛 =𝑓 𝑛 βˆ’π‘“ 𝑛+1 then π‘Ÿ=1 𝑛 𝑒 π‘Ÿ =𝑓 1 βˆ’π‘“ 𝑛+1 Known as β€˜method of differences’.

6 Example ? ? ? ? [Textbook] Show that 4 π‘Ÿ 3 = π‘Ÿ 2 π‘Ÿ+1 2 βˆ’ π‘Ÿβˆ’1 2 π‘Ÿ 2
4 π‘Ÿ 3 = π‘Ÿ 2 π‘Ÿ+1 2 βˆ’ π‘Ÿβˆ’1 2 π‘Ÿ 2 Hence prove, by the method of differences that π‘Ÿ=1 𝑛 π‘Ÿ 3 = 1 4 𝑛 2 𝑛+1 2 Exam Note: Exam questions usually have two parts: Showing some expression is equivalent to one in form 𝑓 𝑛 βˆ’π‘“(𝑛+1) Using method of differences to simplify summation. π‘Ÿ 2 π‘Ÿ+1 2 βˆ’ π‘Ÿβˆ’1 2 π‘Ÿ 2 = π‘Ÿ 2 π‘Ÿ 2 +2π‘Ÿ+1 βˆ’ π‘Ÿ 2 π‘Ÿ 2 βˆ’2π‘Ÿ+1 =…=4 π‘Ÿ 3 =𝐿𝐻𝑆 π‘Ÿ=1 𝑛 π‘Ÿ 2 π‘Ÿ+1 2 βˆ’ π‘Ÿβˆ’1 2 π‘Ÿ 2 = βˆ’ βˆ’ βˆ’ …+ 𝑛 2 𝑛+1 2 βˆ’ π‘›βˆ’1 2 𝑛 2 = 𝑛 2 𝑛+1 2 Therefore 4 π‘Ÿ=1 𝑛 π‘Ÿ 3 = 𝑛 2 𝑛+1 2 So π‘Ÿ=1 𝑛 π‘Ÿ 3 = 𝑛 2 𝑛+1 2 ? ? ? Carefully look at the pattern of cancelling. The second term in each pair is cancelled out by the first term in the previous pair. Thus in the last pair the first term won’t have been cancelled out. While not essential, I like to put brackets around pairs to see the exact matchings more easily. ?

7 Partial Fraction Example
Find π‘Ÿ=1 𝑛 1 4 π‘Ÿ 2 βˆ’1 using the method of differences. First split into partial fractions in hope that we get form 𝑓 π‘Ÿ βˆ’π‘“ π‘Ÿ+1 or something similar. 1 2π‘Ÿ+1 2π‘Ÿβˆ’1 = 𝐴 2π‘Ÿ+1 + 𝐡 2π‘Ÿβˆ’1 𝐴=βˆ’ 1 2 , 𝐡= 1 2 Thus π‘Ÿ=1 𝑛 1 4 π‘Ÿ 2 βˆ’1 = 1 2 π‘Ÿ=1 𝑛 1 2π‘Ÿβˆ’1 βˆ’ 1 2π‘Ÿ+1 = βˆ’ βˆ’ βˆ’ …+ 1 2π‘›βˆ’1 βˆ’ 1 2𝑛+1 = βˆ’ 1 2𝑛+1 = 𝑛+1βˆ’1 2𝑛+1 = 𝑛 2𝑛+1 ? ? ? ? ? ?

8 Test Your Understanding
FP2 June 2013 Q1 (a) Express 2 2π‘Ÿ+1 2π‘Ÿ+3 in partial fractions. (b) Using your answer to (a), find, in terms of 𝑛, π‘Ÿ=1 𝑛 3 2π‘Ÿ+1 2π‘Ÿ+3 Give your answer as a single fraction in its simplest form. ?

9 Harder Ones: 𝑓 π‘Ÿ βˆ’π‘“ π‘Ÿ+2 Usually in exams, they try to make it slightly harder by using the form 𝑓 π‘Ÿ βˆ’π‘“(π‘Ÿ+2) instead of 𝑓 π‘Ÿ βˆ’π‘“ π‘Ÿ+1 . The result is that terms don’t cancel in adjacent pairs, but in pairs further away. You just have to be really really careful (really) when you see what terms cancel. π‘Ÿ=1 𝑛 1 π‘Ÿ βˆ’ 1 π‘Ÿ+2 = 1 1 βˆ’ βˆ’ βˆ’ βˆ’ 1 6 …+ 1 𝑛 βˆ’ 1 𝑛+2 = βˆ’ 1 𝑛+1 βˆ’ 1 𝑛+2 = 𝑛 3𝑛+5 2 𝑛+1 𝑛+2 ? ? We can see the second term of each pair is cancelled out by the first term of two pairs later. This means the first term of the first two pairs won’t be cancelled, and the second term of the last two pairs won’t cancel. ?

10 Test Your Understanding
FP2 June 2013 (R) Q3 Express 2 π‘Ÿ+1 π‘Ÿ+3 in partial fractions. Hence show that: π‘Ÿ=1 𝑛 2 π‘Ÿ+1 π‘Ÿ+3 = 𝑛 5𝑛 𝑛+2 𝑛+3 Evaluate π‘Ÿ= π‘Ÿ+1 π‘Ÿ+3 , giving your answer to 3 significant figures. ? ? ?

11 Exercise 2A Pearson Core Pure Year 2 Pages 36-37
Note: This exercise has few examples of the β€œdiffer by 2” type questions that were extremely common in the old FP2 exams. I have a compilation of exam questions on this topic here:

12 Higher Derivatives ? ? ? ? ? ? ? ? ? Original Function 1st Derivative
We have seen in Pure Year 1 that we used the second derivative to classify a turning point as a minimum, maximum or point of inflection. It simply meant that we differentiated a second time, i.e. 𝑑 𝑑π‘₯ 𝑑𝑦 𝑑π‘₯ = 𝑑 2 𝑦 𝑑 π‘₯ 2 Original Function 1st Derivative 2nd Derivative 𝒏th Derivative ? ? ? Lagrange’s Notation 𝑓(π‘₯) 𝑓′(π‘₯) 𝑓′′(π‘₯) 𝑓 (𝑛) (π‘₯) ? ? ? Leibniz’s Notation 𝑑𝑦 𝑑π‘₯ 𝑑 2 𝑦 𝑑 π‘₯ 2 𝑑 𝑛 𝑦 𝑑 π‘₯ 𝑛 𝑦 ? ? ? Newton’s Notation 𝑛 𝑦 𝑦 𝑦 𝑦 I have an idea for a great movie: tan⁑(π‘₯) is trying to defeat his sworn enemy, so he trains really hard (cue montage) and emerges all buffed up as sec 2 π‘₯ . What do you think? It’s a bit derivative. Joke used with kind permission of Frost Jokes Ltd.

13 Examples [Textbook] Given that 𝑦= ln 1βˆ’π‘₯ , find the value of 𝑑 3 𝑦 𝑑 π‘₯ 3 when π‘₯= 1 2 . [Textbook] 𝑓 π‘₯ = 𝑒 π‘₯ 2 . Show that 𝑓 β€² π‘₯ =2π‘₯ 𝑓(π‘₯) By differentiating the result in part a twice more with respect to π‘₯, show that: (i) 𝑓 β€²β€² π‘₯ =2𝑓 π‘₯ +2π‘₯ 𝑓 β€² π‘₯ (ii) 𝑓 β€²β€²β€² π‘₯ =2π‘₯ 𝑓 β€²β€² π‘₯ +4𝑓′(π‘₯) Deduce the values of 𝑓 β€² 0 , 𝑓 β€²β€² 0 , 𝑓′′′(0) ? Recall β€˜bla’ method for chain rule: ln⁑(π‘π‘™π‘Ž) differentiates to 1 π‘π‘™π‘Ž . Then multiply by the π‘π‘™π‘Ž differentiated (i.e. βˆ’1) 𝑑𝑦 𝑑π‘₯ = 1 1βˆ’π‘₯ Γ— βˆ’1 =βˆ’ 1 1βˆ’π‘₯ 𝑑 2 𝑦 𝑑 π‘₯ 2 = 𝑑 𝑑π‘₯ βˆ’ 1βˆ’π‘₯ βˆ’1 =βˆ’1 1βˆ’π‘₯ βˆ’2 𝑑 3 𝑦 𝑑 π‘₯ 3 =βˆ’2 1βˆ’π‘₯ βˆ’3 When π‘₯= 1 2 , 𝑑 3 𝑦 𝑑 π‘₯ 3 =βˆ’ 2 1βˆ’ =βˆ’16 ? 𝑓 β€² π‘₯ =2π‘₯ 𝑒 π‘₯ 2 =2π‘₯ 𝑓 π‘₯ 𝑓 β€²β€² π‘₯ =2𝑓 π‘₯ +2π‘₯ 𝑓 β€² π‘₯ 𝑓 β€²β€²β€² π‘₯ =2 𝑓 β€² π‘₯ +2 𝑓 β€² π‘₯ +2π‘₯ 𝑓 β€²β€² π‘₯ =4 𝑓 β€² π‘₯ +2π‘₯ 𝑓 β€²β€² π‘₯ 𝑓 0 = 𝑒 0 =1 𝑓 β€² 0 =2 0 (1)=0 𝑓 β€²β€² 0 = 𝑓 β€² 0 =2 𝑓 β€²β€²β€² 0 = 𝑓 β€²β€² 0 =0 We will see the point of finding 𝑓 β€² 0 , 𝑓 β€²β€² 0 , 𝑓′′′(0) in the next section.

14 Why we might represent functions as power series
𝒆 𝒙 =𝟏+ 𝒙 𝟏! + 𝒙 𝟐 𝟐! + 𝒙 πŸ‘ πŸ‘! +… Example: Recall that a polynomial is an expression of the form π‘Ž+𝑏π‘₯+𝑐 π‘₯ 2 +…, i.e. a sum of π‘₯ terms with non-negative integer powers. A power series is an infinitely long polynomial. Reasons why this is awesome Not all functions can be integrated. For example, there is no way in which we can write π‘₯ π‘₯ 𝑑π‘₯ in terms of standard mathematical functions. 𝑒 π‘₯ 2 𝑑π‘₯ is another well known example of a function we can’t integrate. Since the latter is used in the probability (density) function of a Normal Distribution, and we’d have to integrate to find the cumulative distribution function (see S2), this explains why it’s not possible to calculate 𝑧-values on a calculator. However, polynomials integrate very easily. We can approximate integrals to any arbitrary degree of accuracy by replacing the function with its power series. It allows us/calculators to find irrational numbers in decimal form to an arbitrary amount of accuracy. Since for example tan βˆ’1 (π‘₯) =π‘₯βˆ’ 1 3 π‘₯ π‘₯ 5 βˆ’ 1 7 π‘₯ 7 +… then plugging in 1, we get tan βˆ’ = πœ‹ 4 =1βˆ’ βˆ’ 1 7 and hence πœ‹=4βˆ’ βˆ’ 4 7 +…*. We can similarly find 𝑒. It allows us to find approximate solutions to more difficult differential equations. 1 2 3 * This is a poor method of generating digits of πœ‹ though: because the denominator is only increasing by 2 each time, it converges very slowly! There are better power series where the denominator has a much higher growth rate and hence the terms become smaller quicker.

15 Now onto the good stuff! ? sin⁑(π‘₯)= π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +…
We’ve already seen in Pure Year 2 in Binomial expansions how we can express say 1+π‘₯ as a power series: π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 +… But we can do it for more general functions. The reason we’re doing the expansion at π‘₯=0 is because all the terms involving π‘₯ will be wiped out, allowing us to match only the constant term. original func power series sin⁑(π‘₯)= π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +… 𝑓 π‘₯ = 0= π‘Ž 0 𝑓 0 = We obviously want to line of the polynomial to match the 𝑠𝑖𝑛 function as best as possible. Just suppose we were only interested how well the lines match where π‘₯=0. What might be a sensible thing to require about the two lines at π‘₯=0? What should we set π‘Ž 0 to be to achieve this? We want the π’š values to be the same. π’š=π’”π’Šπ’ 𝒙 π’š=𝟎 ?

16 Maclaurin Expansion ? ? ? sin⁑(π‘₯)= π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +…
original func power series 𝑓 π‘₯ = sin⁑(π‘₯)= π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +… cos π‘₯ = π‘Ž 1 +2 π‘Ž 2 π‘₯+3 π‘Ž 3 π‘₯ 2 𝑓′ π‘₯ = ? 1= π‘Ž 1 𝑓′ 0 = ? To get a better match, what might we always require is the same at π‘₯=0? The gradients, i.e. 𝒇′(𝟎). π’š=𝟎+πŸπ’™ π’š=π’”π’Šπ’ 𝒙 ?

17 Maclaurin Expansion original func power series 𝑓 π‘₯ = sin π‘₯ = π‘Ž 0 + π‘Ž 1 π‘₯+ π‘Ž 2 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +… cos π‘₯ = π‘Ž 1 +2 π‘Ž 2 π‘₯+3 π‘Ž 3 π‘₯ 2 +4 π‘Ž 4 π‘₯ 3 +… 𝑓′ π‘₯ = βˆ’ sin π‘₯ =2 π‘Ž 2 +6 π‘Ž 3 π‘₯+12 π‘Ž 4 π‘₯ 2 +… 𝑓′′ π‘₯ = ? 𝑓′′ 0 = ? 0= 2π‘Ž 2 And what about even better? The second derivatives match, i.e. 𝒇′′(𝟎). π’š=𝟎+πŸπ’™+𝟎 𝒙 𝟐 ? π’š=π’”π’Šπ’ 𝒙 (So the second derivatives matched already.)

18 Maclaurin Expansion original func power series sin π‘₯ = π‘Ž 0 + π‘Ž 1 π‘₯+0 π‘₯ 2 + π‘Ž 3 π‘₯ 3 +… cos π‘₯ = π‘Ž 1 + π‘Ž 2 π‘₯+3 π‘Ž 3 π‘₯ 2 +4 π‘Ž 4 π‘₯ 3 +5 π‘Ž 5 π‘₯ 4 βˆ’ sin π‘₯ = π‘Ž 2 +6 π‘Ž 3 π‘₯+12 π‘Ž 4 π‘₯ π‘Ž 5 π‘₯ 3 𝑓 π‘₯ = 𝑓′ π‘₯ = 𝑓′′ π‘₯ = 𝑓′′′ π‘₯ = ? βˆ’ cos π‘₯ =6 π‘Ž π‘Ž 4 π‘₯+60 π‘Ž 5 π‘₯ 2 +… βˆ’1= 6π‘Ž 3 β†’ π‘Ž 3 =βˆ’ 1 6 𝑓′′′ 0 = ? And what about even better? The third derivatives match, i.e. 𝒇′′′(𝟎). ? π’š=π’”π’Šπ’ 𝒙 π’š=𝟎+πŸπ’™+𝟎 𝒙 𝟐 βˆ’ 𝟏 πŸ” 𝒙 πŸ‘ Can you guess the pattern in the coefficients π‘Ž 𝑖 ? When the derivative is even we get 0 (as 𝐬𝐒𝐧 𝟎 =𝟎). For odd derivatives, we get (one over) the factorial of the original power, because each time we’re multiplying by a number one less. ?

19 Maclaurin Expansion 1 Fro Note: We can see that the curve matches up pretty much exactly around π‘₯=0. But even at other values of π‘₯ we can see the curve is starting to match. If the expansion eventually matches up for all values of π‘₯, it is known as an β€˜entire function’ (but this word is not in the syllabus). Exponential functions and other trig functions are also β€˜entire’. 5 3 9 7 sin π‘₯ =π‘₯βˆ’ π‘₯ 3 3! + π‘₯ 5 5! βˆ’ π‘₯ 7 7! + π‘₯ 9 9! βˆ’β€¦ These curves show the successive curves as we keep matching more and more derivatives. ! For the continuous function 𝑓, then provided 𝑓 0 , 𝑓 β€² 0 , 𝑓 β€²β€² 0 ,… are finite, then 𝑓 π‘₯ =𝑓 0 + 𝑓 β€² 0 π‘₯+ 𝑓 β€²β€² 0 2! π‘₯ 2 + 𝑓 β€²β€²β€² 0 3! π‘₯ 3 +…+ 𝑓 π‘Ÿ 0 π‘Ÿ! π‘₯ π‘Ÿ is the Maclaurin expansion/series for 𝑓(π‘₯).

20 Example Find the Maclaurin series for 𝑒 π‘₯ . Find the Maclaurin series for cos π‘₯ . 𝑓 π‘₯ = cos π‘₯ β†’ 𝑓 0 =1 𝑓 β€² π‘₯ =βˆ’ sin π‘₯ β†’ 𝑓′ 0 =0 𝑓 β€²β€² π‘₯ =βˆ’ cos π‘₯ β†’ 𝑓 β€²β€² 0 =βˆ’ 𝑓 3 π‘₯ = sin π‘₯ β†’ 𝑓 =0 𝑓 4 π‘₯ = cπ‘œπ‘  π‘₯ β†’ 𝑓 =1 cos π‘₯ =1βˆ’ π‘₯ 2 2! + π‘₯ 4 4! βˆ’ π‘₯ 6 6! +… ? 𝑓 π‘₯ = 𝑒 π‘₯ β†’ 𝑓 0 =1 𝑓 β€² π‘₯ = 𝑒 π‘₯ β†’ 𝑓′ 0 =1 𝑓 β€²β€² π‘₯ = 𝑒 π‘₯ β†’ 𝑓 β€²β€² 0 =1 𝑒 π‘₯ =1+π‘₯+ π‘₯ 2 2! + π‘₯ 3 3! +… ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? As you can see from the animation, the curves match for all values of π‘₯, not just at π‘₯=0 (so 𝑒 π‘₯ is β€˜entire’) 𝑓 π‘₯ =𝑓 0 + 𝑓 β€² 0 π‘₯+ 𝑓 β€²β€² 0 2! π‘₯ 2 + 𝑓 β€²β€²β€² 0 3! π‘₯ 3 +…+ 𝑓 π‘Ÿ 0 π‘Ÿ! π‘₯ π‘Ÿ +… is the Maclaurin expansion/series for 𝑓(π‘₯).

21 Example Find the Maclaurin series for ln⁑(1+π‘₯). Using only the first three terms of the series in (a), find estimates for (i) ln (ii) ln (iii) ln 1.8 ln 1.05 β‰ˆ0.05βˆ’ = … (correct to 5dp) ln 1.25 β‰ˆ (correct to 2dp) ln 1.8 β‰ˆ0.650… (not even correct to 1dp!) ? 𝑓 π‘₯ =ln⁑(1+π‘₯) β†’ 𝑓 0 =0 𝑓 β€² π‘₯ = 1+π‘₯ βˆ’ β†’ 𝑓′ 0 =1 𝑓 β€²β€² π‘₯ =βˆ’ 1+π‘₯ βˆ’ β†’ 𝑓 β€²β€² 0 =βˆ’1 𝑓 β€²β€²β€² π‘₯ = βˆ’1 βˆ’2 1+π‘₯ βˆ’3 β†’ 𝑓 β€²β€²β€² 0 =2! 𝑓 π‘Ÿ π‘₯ =βˆ’ βˆ’1 βˆ’2 … π‘Ÿβˆ’1 1+π‘₯ βˆ’π‘Ÿ ln 1+π‘₯ =𝟎+πŸπ’™+ βˆ’πŸ! 𝒙 𝟐 𝟐! + 𝟐! 𝒙 πŸ‘ πŸ‘! +… =π’™βˆ’ 𝒙 𝟐 𝟐 + 𝒙 πŸ‘ πŸ‘ βˆ’ 𝒙 πŸ’ πŸ’ +…+ βˆ’πŸ π’“βˆ’πŸ 𝒙 𝒓 𝒓! +… ? ? ? ? ? ? ? ? ? ? ? 𝑓 π‘₯ =𝑓 0 + 𝑓 β€² 0 π‘₯+ 𝑓 β€²β€² 0 2! π‘₯ 2 + 𝑓 β€²β€²β€² 0 3! π‘₯ 3 +…+ 𝑓 π‘Ÿ 0 π‘Ÿ! π‘₯ π‘Ÿ +… is the Maclaurin expansion/series for 𝑓(π‘₯).

22 Example We previously said that we can only guarantee the curve is the same, i.e. the expansion is valid, β€˜around’ π‘₯=0. For 𝑒 π‘₯ and cos π‘₯ we got lucky in that the curve turned out to be the same everywhere, for all π‘₯. But as per the animation above, we can see that away from π‘₯=0, the curve actually gets worse with more terms in the expansion! Looking at the graph on the left, for what range of π‘₯ is this expansion valid for? βˆ’πŸβ‰€π’™<𝟏 ?

23 Exercise 2C Pearson Core Pure Year 2 Page 43-44

24 Composite Functions ? ! Standard Expansions (given in formula booklet)
𝑒 π‘₯ =1+π‘₯+ π‘₯ 2 2! + π‘₯ 3 3! + π‘₯ 4 4! +…+ π‘₯ π‘Ÿ π‘Ÿ! +… (valid for all π‘₯) ln 1+π‘₯ =π‘₯βˆ’ π‘₯ π‘₯ 3 3 βˆ’β€¦+ βˆ’1 π‘Ÿβˆ’1 π‘₯ π‘Ÿ π‘Ÿ +… βˆ’1<π‘₯≀1 sin π‘₯ =π‘₯βˆ’ π‘₯ 3 3! + π‘₯ 5 5! βˆ’ π‘₯ 7 7! +…+ βˆ’1 π‘Ÿ π‘₯ 2π‘Ÿ+1 2π‘Ÿ+1 ! +… (valid for all π‘₯) cos π‘₯ =1βˆ’ π‘₯ 2 2! + π‘₯ 4 4! βˆ’β€¦+ βˆ’1 π‘Ÿ π‘₯ 2π‘Ÿ 2π‘Ÿ! +… (valid for all π‘₯) arctan π‘₯ =π‘₯βˆ’ π‘₯ π‘₯ 5 5 βˆ’β€¦+ βˆ’1 π‘Ÿ π‘₯ 2π‘Ÿ+1 2π‘Ÿ+1 βˆ’β€¦ βˆ’1≀π‘₯≀1 We can also apply these when the input to the function is different. cos 2 π‘₯ 2 =πŸβˆ’ 𝟐 𝒙 𝟐 𝟐 𝟐! + 𝟐 𝒙 𝟐 πŸ’ πŸ’! +… =πŸβˆ’πŸ 𝒙 πŸ’ + 𝟐 πŸ‘ 𝒙 πŸ– βˆ’ πŸ’ πŸ’πŸ“ 𝒙 𝟏𝟐 +… ?

25 Composite Functions Expansion ? Valid Interval ?
You might need some manipulation first. [Textbook] Find the first three non-zero terms of the series expansion of ln π‘₯ 1βˆ’3π‘₯ , and state the interval in π‘₯ for which the expansion is valid. ln π‘₯ 1βˆ’3π‘₯ = 1 2 ln 1+2π‘₯ βˆ’ln 1βˆ’3π‘₯ 𝑙𝑛 1+2π‘₯ = π‘₯βˆ’ 2π‘₯ π‘₯ βˆ’β€¦ =π‘₯βˆ’ π‘₯ π‘₯ 3 βˆ’β€¦ ln 1βˆ’3π‘₯ = βˆ’3π‘₯ βˆ’ βˆ’3π‘₯ βˆ’3π‘₯ βˆ’β€¦ =βˆ’3π‘₯βˆ’ 9 2 π‘₯ 2 βˆ’9 π‘₯ 3 βˆ’β€¦ ∴ ln π‘₯ 1βˆ’3π‘₯ =4π‘₯ π‘₯ π‘₯ 3 +… Expansion ? Valid Interval ? For ln 1+2π‘₯ , βˆ’1<2π‘₯≀1 Thus βˆ’ 1 2 <π‘₯≀ 1 2 For ln⁑(1βˆ’3π‘₯), βˆ’1<βˆ’3π‘₯≀1 Thus βˆ’ 1 3 ≀π‘₯< 1 3 (Note the ≀ and < have swapped) Taking the intersection of the two, we obtain: βˆ’ 1 3 ≀π‘₯< 1 3 Standard Expansions (given in formula booklet) ln 1+π‘₯ =π‘₯βˆ’ π‘₯ π‘₯ 3 3 βˆ’β€¦+ βˆ’1 π‘Ÿβˆ’1 π‘₯ π‘Ÿ π‘Ÿ +… βˆ’1<π‘₯≀1

26 Composite Functions [Textbook] Given that terms in π‘₯ 𝑛 , 𝑛>4 may be neglected, use the series for 𝑒 π‘₯ and sin π‘₯ to show that 𝑒 sin π‘₯ β‰ˆ1+π‘₯+ π‘₯ 2 2 ? sin π‘₯ =π‘₯βˆ’ π‘₯ 3 3! +… ∴ 𝑒 sin π‘₯ β‰ˆ 𝑒 π‘₯βˆ’ π‘₯ = 𝑒 π‘₯ Γ— 𝑒 βˆ’ π‘₯ = 1+π‘₯+ π‘₯ π‘₯ βˆ’ π‘₯ … =1+π‘₯+ π‘₯ π‘₯ 3 6 βˆ’ π‘₯ 3 6 =1+π‘₯+ π‘₯ 2 2 Standard Expansions (given in formula booklet) 𝑒 π‘₯ =1+π‘₯+ π‘₯ 2 2! + π‘₯ 3 3! + π‘₯ 4 4! +…+ π‘₯ π‘Ÿ π‘Ÿ! +… (valid for all π‘₯) sin π‘₯ =π‘₯βˆ’ π‘₯ 3 3! + π‘₯ 5 5! βˆ’ π‘₯ 7 7! +…+ βˆ’1 π‘Ÿ π‘₯ 2π‘Ÿ+1 2π‘Ÿ+1 ! +… (valid for all π‘₯)

27 Exercise 2D Pearson Core Pure Year 2 Page 46-48


Download ppt "CorePure2 Chapter 2 :: Series"

Similar presentations


Ads by Google