Math 1280-1 Peter Alfeld. Webwork Problem Set 1. Due 2/7/06 at 11:59 PM. Procrastination Is Hazardous!

Total Page:16

File Type:pdf, Size:1020Kb

Math 1280-1 Peter Alfeld. Webwork Problem Set 1. Due 2/7/06 at 11:59 PM. Procrastination Is Hazardous! n! 7. n1000 Math 1280-1 n3 5n 8. 3n−n5 − Peter Alfeld. 4.(1 pt) Determine whether the sequences are in- creasing, decreasing, or not monotonic. If increasing, enter 1 as your answer. If decreasing, enter 1as your WeBWorK Problem Set 1. answer. If not monotonic, enter 0 as your answer− . 1 1. an = 2n+6 Due 2/7/06 at 11:59 PM. n 2 2. an = n+−2 Get to work on this set right away and an- p + 3. a = n 2 • swer these questions well before the deadline. n 6n+2 4. a = cosn Not only will this give you the chance to fig- n 2n ure out what's wrong if an answer is not ac- 5.(1 pt) Consider the sequence cepted, you also will avoid the likely rush and ncos(np) congestion prior to the deadline. a = : n 2n 1 − Write the first five terms of an, and find limn ∞ an. Procrastination is hazardous! If the sequence diverges, enter ”divergent” in the! an- 1.(1 pt) Determine whether the sequence is diver- swer box for its limit. gent or convergent. If it is convergent, evaluate its a) First five terms: , , , , . limit. If it diverges to infinity, state your answer as b) limn ∞ an = . ! ”INF” (without the quotation marks). If it diverges 6.(1 pt) Consider the sequence to negative infinity, state your answer as ”MINF”. If it diverges without being infinity or negative infinity, ln(1=n) an = : state your answer as ”DIV”. p2n 4n7 + sin2(11n) lim Write the first five terms of an, and find limn ∞ an. n ∞ 6 + ! ! n 10 If the sequence diverges, enter ”divergent” in the an- swer box for its limit. 2.(1 pt) Find the limit of the sequence whose terms a) First five terms: , , , , . are given by b) limn ∞ an = . a = (n2)(1 cos( 5:5 )): ! n − n 7.(1 pt) Suppose (1 pt) Match each sequence below to statement 3. 1 2 3 4 5 that BEST fits it. a1 = ;a2 = ;a3 = ;a4 = ;a5 = : 2 1 3 1 4 1 5 1 6 1 STATEMENTS − 2 − 3 − 4 − 5 − 6 Z. The sequence converges to zero; a) Find an explicit formula for an: I. The sequence diverges to infinity; . F. The sequence has a finite non-zero limit; b) Determine whether the sequence is convergent D. The sequence diverges. or divergent: . SEQUENCES (Enter ”convergent” or ”divergent” as appropriate.) ( 1 ) c) If it converges, find limn ∞ an = 1. nsin n ! (ln(n)) . 2. n 8.(1 pt) Suppose n100 3. (1:01)n 4. ln(ln(ln(n))) 1 2 a1 = 2;an+1 = an + : 5. sin(n) 2 an 6. arctan(n + 1) Find limn ∞ an = . 1 ! ∞ Hint: Let a = limn ∞. Then, since an+1 = 7 ! 5. 1 2 1 2 ∑ n10 16 an + , we have a = a + . Now solve n=1 − 2 an 2 a for a. 11.(1 pt) Determine the sum of the following se- ∞ 7 9.(1 pt) Consider the series ∑n=1 . Let sn be the ries. n+6 ∞ n 1 n-th partial sum; that is, ( 4) − n ∑ − n 7 n= 6 sn = ∑ : 1 i=1 i + 6 (1 pt) Determine the sum of the following se- Find s4 and s8 12. ries. s4 = ∞ 4n + 6n s8 = ∑ ( n ) 10.(1 pt) Match each of the following with the cor- n=1 11 rect statement. C stands for Convergent, D stands for Divergent. 13.(1 pt) Express 8:846846846::: as a rational p ∞ 1 number, in the form q 1. ∑ 5 where p and q have no common factors. 6 + pn3 n=1 p = and ∞ 7 2. q = ∑ n(n + 7) n=1 14.(1 pt) A ball drops from a height of 18 feet. ∞ 2 + 7n Each time it hits the ground, it bounces up 30 per- 3. ∑ n n=1 8 + 9 cents of the height it fall. Assume it goes on forever, ∞ ln(n) 4. ∑ find the total distance it travels. n=1 10n Prepared by the WeBWorK group, Dept. of Mathematics, University of Rochester, c UR 2 A. convergent Math 1280-1 • B. divergent • 5.(1 pt) Determine whether the following series is Peter Alfeld. ∞ 1 ( )n+1 ∑ 1 1:1 WeBWorK Problem Set 2. n=1 − 5n A. conditionally convergent Due 2/7/06 at 11:59 PM. • B. absolutely convergent • Get to work on this set right away and an- C. divergent • • swer these questions well before the deadline. 6.(1 pt) Determine whether the following series is Not only will this give you the chance to fig- ure out what's wrong if an answer is not ac- ∞ 1 ( 1)n cepted, you also will avoid the likely rush and ∑ − pn2 1 n=2 − congestion prior to the deadline. A. absolutely convergent • B. conditionally convergent Procrastination is hazardous! • C. divergent (1 pt) Consider the series: • 1. 7.(1 pt) Each of the following statements is an at- ∞ 3 3 tempt to show that a given series is convergent or not using the Comparison Test (NOT the Limit Compari- ∑ (k 1)2 − k2 k=10 − son Test.) For each statement, enter C (for ”correct”) a) Determine whether the series is convergent or if the argument is valid, or enter I (for ”incorrect”) divergent: . if any part of the argument is flawed. (Note: if the (Enter ”convergent” or ”divergent” as appropriate.) conclusion is true but the argument that led to it was b) If it converges, find its sum: . wrong, you must enter I.) If the series diverges, enter here ”divergent” again. ln(n) 1. For all n > 2, > 1 , and the series ∑ 1 (1 pt) Determine the convergence or divergence n2 n2 n2 2. converges, so by the Comparison Test, the se- of the following series. ln(n) ries ∑ n2 converges. ∞ p 1 2 1 2n + 1 2. For all n > 1, nln(n) < n , and the series 2∑ n ∑ 2 n=1 n diverges, so by the Comparison Test, the se- 1 A. convergent ries ∑ nln(n) diverges. • B. divergent n > ln(n) < 1 1 • 3. For all 1, n2 n1:5 , and the series ∑ n1:5 3.(1 pt) Determine the convergence or divergence converges, so by the Comparison Test, the se- of the following series. ln(n) ries ∑ n2 converges. 4. For all n > 2, n < 2 , and the series 2∑ 1 ∞ 3k + k n3 7 n2 n2 ∑ converges, so by−the Comparison Test, the se- n=1 k! n ries ∑ n3 7 converges. A. convergent − • 5. For all n > 1, arctan(n) < π , and the series B. divergent n3 2n3 • π 1 2 ∑ n3 converges, so by the Comparison Test, 4.(1 pt) Determine the convergence or divergence arctan(n) of the following series. the series ∑ n3 converges. ln(n) 6. For all n > 2, > 1 , and the series ∑ 1 di- ∞ 1 n n n pn 1 cos verges, so by the Comparison Test, the series ∑ ln(n) n=1 − n ∑ n diverges. 1 ∞ 1 6. 8.(1 pt) The three series ∑An, ∑Bn, and ∑Cn have ∑ n=1 pn terms 1 1 1 10.(1 pt) Find the convergence set of the given A = ; B = ; C = : n n7 n n4 n n power series: Use the Limit Comparison Test to compare the fol- ∞ 2nxn lowing series to any of the above series. For each of ∑ the series below, you must enter two letters. The first n=1 n! is the letter (A,B, or C) of the series above that it can The above series converges for < x < . be legally compared to with the Limit Comparison Enter ”infinity” for ¥ and ”-infinity” for ¥. Test. The second is C if the given series converges, − 11.(1 pt) A famous sequence fn, called the Fi- or D if it diverges. So for instance, if you believe bonacci Sequence after Leonardo Fibonacci, who in- the series converges and can be compared with series troduced it around A.D. 1200, is defined by the recur- C above, you would enter CC; or if you believe it di- sion formula verges and can be compared with series A, you would enter AD. f1 = f2 = 1; fn+2 = fn+1 + fn: ∞ 5n2 + 5n6 1. Find the radius of convergence of ∑ 4n7 + 6n3 4 n=1 − ∞ 4n4 + n7 ∞ 2. f xn: ∑ 187n11 + 6n4 + 5 ∑ n n=1 n=1 ∞ 5n4 + n2 5n 3. − Radius of convergence: . ∑ 6n11 5n9 + 1 n=1 − 12.(1 pt) Find the interval of convergence for the given power series. 9.(1 pt) Select the FIRST correct reason why the ∞ n4(x + 7)n given series diverges. ∑ 14 ( n)(n 3 ) A. Diverges because the terms don't have limit n=1 10 zero The series is convergent: B. Divergent geometric series from x = , left end included (Y,N): C. Divergent p series to x = , right end included (Y,N): D. Integral test 13.(1 pt) Match each of the power series with its E. Comparison with a divergent p series interval of convergence. F. Diverges by limit comparison test ∞ (x 5)n G. Cannot apply any test done so far in class 1. − ∑ (n!)5n ∞ n=1 cos(np) ∞ n!(5x 5)n 1. ∑ 2. − n=1 ln(5) ∑ 5n ∞ n=1 1 ∞ (5x)n 2. ∑ 3. n=1 nln(n) ∑ n5 ∞ 2 n n=1 (n + 1)(6 + 1) ∞ (x 5)n 3. ∑ 2n 4. − n=1 6 ∑ (5)n ∞ n=1 n (2n)! 1 1 4. ( 1) A. [ − ; ] ∑ − (n!)2 5 5 n=1 B. 5=5 ∞ 7n + 4 C. (f ¥;g¥) 5. ∑ n − n=1 ( 1) D.
Recommended publications
  • Math 142 – Quiz 6 – Solutions 1. (A) by Direct Calculation, Lim 1+3N 2
    Math 142 – Quiz 6 – Solutions 1. (a) By direct calculation, 1 + 3n 1 + 3 0 + 3 3 lim = lim n = = − . n→∞ n→∞ 2 2 − 5n n − 5 0 − 5 5 3 So it is convergent with limit − 5 . (b) By using f(x), where an = f(n), x2 2x 2 lim = lim = lim = 0. x→∞ ex x→∞ ex x→∞ ex (Obtained using L’Hˆopital’s Rule twice). Thus the sequence is convergent with limit 0. (c) By comparison, n − 1 n + cos(n) n − 1 ≤ ≤ 1 and lim = 1 n + 1 n + 1 n→∞ n + 1 n n+cos(n) o so by the Squeeze Theorem, the sequence n+1 converges to 1. 2. (a) By the Ratio Test (or as a geometric series), 32n+2 32n 3232n 7n 9 L = lim (16 )/(16 ) = lim = . n→∞ 7n+1 7n n→∞ 32n 7 7n 7 The ratio is bigger than 1, so the series is divergent. Can also show using the Divergence Test since limn→∞ an = ∞. (b) By the integral test Z ∞ Z t 1 1 t dx = lim dx = lim ln(ln x)|2 = lim ln(ln t) − ln(ln 2) = ∞. 2 x ln x t→∞ 2 x ln x t→∞ t→∞ So the integral diverges and thus by the Integral Test, the series also diverges. (c) By comparison, (n3 − 3n + 1)/(n5 + 2n3) n5 − 3n3 + n2 1 − 3n−2 + n−3 lim = lim = lim = 1. n→∞ 1/n2 n→∞ n5 + 2n3 n→∞ 1 + 2n−2 Since P 1/n2 converges (p-series, p = 2 > 1), by the Limit Comparison Test, the series converges.
    [Show full text]
  • 3.3 Convergence Tests for Infinite Series
    3.3 Convergence Tests for Infinite Series 3.3.1 The integral test We may plot the sequence an in the Cartesian plane, with independent variable n and dependent variable a: n X The sum an can then be represented geometrically as the area of a collection of rectangles with n=1 height an and width 1. This geometric viewpoint suggests that we compare this sum to an integral. If an can be represented as a continuous function of n, for real numbers n, not just integers, and if the m X sequence an is decreasing, then an looks a bit like area under the curve a = a(n). n=1 In particular, m m+2 X Z m+1 X an > an dn > an n=1 n=1 n=2 For example, let us examine the first 10 terms of the harmonic series 10 X 1 1 1 1 1 1 1 1 1 1 = 1 + + + + + + + + + : n 2 3 4 5 6 7 8 9 10 1 1 1 If we draw the curve y = x (or a = n ) we see that 10 11 10 X 1 Z 11 dx X 1 X 1 1 > > = − 1 + : n x n n 11 1 1 2 1 (See Figure 1, copied from Wikipedia) Z 11 dx Now = ln(11) − ln(1) = ln(11) so 1 x 10 X 1 1 1 1 1 1 1 1 1 1 = 1 + + + + + + + + + > ln(11) n 2 3 4 5 6 7 8 9 10 1 and 1 1 1 1 1 1 1 1 1 1 1 + + + + + + + + + < ln(11) + (1 − ): 2 3 4 5 6 7 8 9 10 11 Z dx So we may bound our series, above and below, with some version of the integral : x If we allow the sum to turn into an infinite series, we turn the integral into an improper integral.
    [Show full text]
  • 1 Improper Integrals
    July 14, 2019 MAT136 { Week 6 Justin Ko 1 Improper Integrals In this section, we will introduce the notion of integrals over intervals of infinite length or integrals of functions with an infinite discontinuity. These definite integrals are called improper integrals, and are understood as the limits of the integrals we introduced in Week 1. Definition 1. We define two types of improper integrals: 1. Infinite Region: If f is continuous on [a; 1) or (−∞; b], the integral over an infinite domain is defined as the respective limit of integrals over finite intervals, Z 1 Z t Z b Z b f(x) dx = lim f(x) dx; f(x) dx = lim f(x) dx: a t!1 a −∞ t→−∞ t R 1 R a If both a f(x) dx < 1 and −∞ f(x) dx < 1, then Z 1 Z a Z 1 f(x) dx = f(x) dx + f(x) dx: −∞ −∞ a R 1 If one of the limits do not exist or is infinite, then −∞ f(x) dx diverges. 2. Infinite Discontinuity: If f is continuous on [a; b) or (a; b], the improper integral for a discon- tinuous function is defined as the respective limit of integrals over finite intervals, Z b Z t Z b Z b f(x) dx = lim f(x) dx f(x) dx = lim f(x) dx: a t!b− a a t!a+ t R c R b If f has a discontinuity at c 2 (a; b) and both a f(x) dx < 1 and c f(x) dx < 1, then Z b Z c Z b f(x) dx = f(x) dx + f(x) dx: a a c R b If one of the limits do not exist or is infinite, then a f(x) dx diverges.
    [Show full text]
  • Series: Convergence and Divergence Comparison Tests
    Series: Convergence and Divergence Here is a compilation of what we have done so far (up to the end of October) in terms of convergence and divergence. • Series that we know about: P∞ n Geometric Series: A geometric series is a series of the form n=0 ar . The series converges if |r| < 1 and 1 a1 diverges otherwise . If |r| < 1, the sum of the entire series is 1−r where a is the first term of the series and r is the common ratio. P∞ 1 2 p-Series Test: The series n=1 np converges if p1 and diverges otherwise . P∞ • Nth Term Test for Divergence: If limn→∞ an 6= 0, then the series n=1 an diverges. Note: If limn→∞ an = 0 we know nothing. It is possible that the series converges but it is possible that the series diverges. Comparison Tests: P∞ • Direct Comparison Test: If a series n=1 an has all positive terms, and all of its terms are eventually bigger than those in a series that is known to be divergent, then it is also divergent. The reverse is also true–if all the terms are eventually smaller than those of some convergent series, then the series is convergent. P P P That is, if an, bn and cn are all series with positive terms and an ≤ bn ≤ cn for all n sufficiently large, then P P if cn converges, then bn does as well P P if an diverges, then bn does as well. (This is a good test to use with rational functions.
    [Show full text]
  • Calculus Terminology
    AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential
    [Show full text]
  • Sequences, Series and Taylor Approximation (Ma2712b, MA2730)
    Sequences, Series and Taylor Approximation (MA2712b, MA2730) Level 2 Teaching Team Current curator: Simon Shaw November 20, 2015 Contents 0 Introduction, Overview 6 1 Taylor Polynomials 10 1.1 Lecture 1: Taylor Polynomials, Definition . .. 10 1.1.1 Reminder from Level 1 about Differentiable Functions . .. 11 1.1.2 Definition of Taylor Polynomials . 11 1.2 Lectures 2 and 3: Taylor Polynomials, Examples . ... 13 x 1.2.1 Example: Compute and plot Tnf for f(x) = e ............ 13 1.2.2 Example: Find the Maclaurin polynomials of f(x) = sin x ...... 14 2 1.2.3 Find the Maclaurin polynomial T11f for f(x) = sin(x ) ....... 15 1.2.4 QuestionsforChapter6: ErrorEstimates . 15 1.3 Lecture 4 and 5: Calculus of Taylor Polynomials . .. 17 1.3.1 GeneralResults............................... 17 1.4 Lecture 6: Various Applications of Taylor Polynomials . ... 22 1.4.1 RelativeExtrema .............................. 22 1.4.2 Limits .................................... 24 1.4.3 How to Calculate Complicated Taylor Polynomials? . 26 1.5 ExerciseSheet1................................... 29 1.5.1 ExerciseSheet1a .............................. 29 1.5.2 FeedbackforSheet1a ........................... 33 2 Real Sequences 40 2.1 Lecture 7: Definitions, Limit of a Sequence . ... 40 2.1.1 DefinitionofaSequence .......................... 40 2.1.2 LimitofaSequence............................. 41 2.1.3 Graphic Representations of Sequences . .. 43 2.2 Lecture 8: Algebra of Limits, Special Sequences . ..... 44 2.2.1 InfiniteLimits................................ 44 1 2.2.2 AlgebraofLimits.............................. 44 2.2.3 Some Standard Convergent Sequences . .. 46 2.3 Lecture 9: Bounded and Monotone Sequences . ..... 48 2.3.1 BoundedSequences............................. 48 2.3.2 Convergent Sequences and Closed Bounded Intervals . .... 48 2.4 Lecture10:MonotoneSequences .
    [Show full text]
  • Calculus Online Textbook Chapter 10
    Contents CHAPTER 9 Polar Coordinates and Complex Numbers 9.1 Polar Coordinates 348 9.2 Polar Equations and Graphs 351 9.3 Slope, Length, and Area for Polar Curves 356 9.4 Complex Numbers 360 CHAPTER 10 Infinite Series 10.1 The Geometric Series 10.2 Convergence Tests: Positive Series 10.3 Convergence Tests: All Series 10.4 The Taylor Series for ex, sin x, and cos x 10.5 Power Series CHAPTER 11 Vectors and Matrices 11.1 Vectors and Dot Products 11.2 Planes and Projections 11.3 Cross Products and Determinants 11.4 Matrices and Linear Equations 11.5 Linear Algebra in Three Dimensions CHAPTER 12 Motion along a Curve 12.1 The Position Vector 446 12.2 Plane Motion: Projectiles and Cycloids 453 12.3 Tangent Vector and Normal Vector 459 12.4 Polar Coordinates and Planetary Motion 464 CHAPTER 13 Partial Derivatives 13.1 Surfaces and Level Curves 472 13.2 Partial Derivatives 475 13.3 Tangent Planes and Linear Approximations 480 13.4 Directional Derivatives and Gradients 490 13.5 The Chain Rule 497 13.6 Maxima, Minima, and Saddle Points 504 13.7 Constraints and Lagrange Multipliers 514 CHAPTER Infinite Series Infinite series can be a pleasure (sometimes). They throw a beautiful light on sin x and cos x. They give famous numbers like n and e. Usually they produce totally unknown functions-which might be good. But on the painful side is the fact that an infinite series has infinitely many terms. It is not easy to know the sum of those terms.
    [Show full text]
  • MAT137 Basic Comparison Test and Limit Comparison Test Watch Videos
    MAT137 Course website http://uoft.me/MAT137 . Basic comparison test and limit comparison test Watch Videos 13.2–13.4 before next Monday’s class. Supplementary video: 13.1 Watch Videos 13.5–13.9 before next Wednesday’s class. Francisco Guevara Parra () MAT137 27 February 2019 1 / 11 A simple BCT application ∞ 1 dx We want to determine whether x Z1 x + e is convergent or divergent. We can try at least two comparisons: 1 1 1. Compare and . x x + ex 1 1 2. Compare and . ex x + ex Try both. What can you conclude from each one of them? Francisco Guevara Parra () MAT137 27 February 2019 2 / 11 True or False Let a R. ∈ Let f and g be continuous functions on [a, ). ∞ Assume that x a, 0 f (x) g(x) . ∀ ≥ ≤ ≤ What can we conclude? ∞ ∞ 1. IF f (x)dx is convergent, THEN g(x)dx is convergent. Za Za ∞ ∞ 2. IF f (x)dx = , THEN g(x)dx = . Za ∞ Za ∞ ∞ ∞ 3. IF g(x)dx is convergent, THEN f (x)dx is convergent. Za Za ∞ ∞ 4. IF g(x)dx = , THEN f (x)dx = . Za ∞ Za ∞ Francisco Guevara Parra () MAT137 27 February 2019 3 / 11 True or False - Part II Let a R. ∈ Let f and g be continuous functions on [a, ). ∞ Assume that x a, f (x) g(x) . ∀ ≥ ≤ What can we conclude? ∞ ∞ 1. IF f (x)dx is convergent, THEN g(x)dx is convergent. Za Za ∞ ∞ 2. IF f (x)dx = , THEN g(x)dx = . Za ∞ Za ∞ ∞ ∞ 3. IF g(x)dx is convergent, THEN f (x)dx is convergent.
    [Show full text]
  • EXAM 3, SOLUTIONS Math 1220-003 - Calculus II
    EXAM 3, SOLUTIONS Math 1220-003 - Calculus II Problems 1. Find the limit or say it does not exist, et − 1 lim t!0 t3 Solution. This is an indeterminate form of type 0/0 (when plugging in 0 for t directly). Thus L'Hopital's rule must be applied: et − 1 et lim = lim t!0 t3 t!0 3t2 At this point, notice that plugging in 0 gives 1/0, which is no longer an indeterminate form. In fact, since 3t2 is always positive, the second limit is approaching 1 as t approaches 0. Thus by L'Hopital's rule, the original limit is also 1, or DNE. Note that this example illustrates it is incorrect to continue applying L'Hopital on a form that is not indeterminate. Many students kept applying L'Hopital to arrive at et 6 , stating as the answer 1/6. You MUST check after each application of L'H that it is still indeterminate. 2. Find the limit or say it does not exist, lim x1=x x!1 Solution. This is indeterminate of type 10. Any exponential indeterminate type calls for use of logarithms: L = lim x1=x x!1 ln L = lim ln x1=x x!1 ln x ln L = lim x!1 x 1 The limit on the right is now an indeterminate of type 1 so L'Hopital may be applied: 1 1=x ln L = lim x!1 1 1 ln L = lim x!1 x ln L = 0 L = e0 = 1 3. Compute the following integral or say that it diverges, Z 9 dx 1=3 1 (x − 1) Solution.
    [Show full text]
  • Direct and Limit Comparison Tests
    Joe Foster Direct and Limit Comparison Tests We have seen that a given improper integral converges if its integrand is less than the integrand of another integral known to converge. Similarly, a given improper integral diverges if its integrand is greater than the integrand of another integral known to diverge. We now apply the same idea to infinite series instead. Direct Comparison Test for Series: If0 a b for all n N, for some N, then, ≤ n ≤ n ≥ ∞ ∞ 1. If bn converges, then so does an. nX=1 nX=1 ∞ ∞ 2. If an diverges, then so does bn. nX=1 nX=1 a The Limit Comparison Test: Suppose a > 0 and b > 0 for all n. If lim n = L, where L is finite and L> 0, then n n →∞ n bn the two series an and bn either both converge or both diverge. X X ∞ 1 Example 1: Determine whether the series converges or diverges. 2n + n nX=1 1 1 We have for all n 1. So, 2n + n ≤ 2n ≥ ∞ ∞ 1 1 . 2n + n ≤ 2n nX=1 nX=1 1 Since the series on the right is a geometric series with r = , it converges. So we determine that our series of interest also 2 converges. ∞ 1 Example 2: Determine whether the series converges or diverges. n2 + n +1 nX=1 1 1 We have for all n 1. So, n2 + n +1 ≤ n2 ≥ ∞ ∞ 1 1 . n2 + n +1 ≤ n2 nX=1 nX=1 Since the series on the right is a p series with p = 2 > 1, it converges.
    [Show full text]
  • Series Convergence Tests Math 122 Calculus III D Joyce, Fall 2012
    Series Convergence Tests Math 122 Calculus III D Joyce, Fall 2012 Some series converge, some diverge. Geometric series. We've already looked at these. We know when a geometric series 1 X converges and what it converges to. A geometric series arn converges when its ratio r lies n=0 a in the interval (−1; 1), and, when it does, it converges to the sum . 1 − r 1 X 1 The harmonic series. The standard harmonic series diverges to 1. Even though n n=1 1 1 its terms 1, 2 , 3 , . approach 0, the partial sums Sn approach infinity, so the series diverges. The main questions for a series. Question 1: given a series does it converge or diverge? Question 2: if it converges, what does it converge to? There are several tests that help with the first question and we'll look at those now. The term test. The only series that can converge are those whose terms approach 0. That 1 X is, if ak converges, then ak ! 0. k=1 Here's why. If the series converges, then the limit of the sequence of its partial sums n th X approaches the sum S, that is, Sn ! S where Sn is the n partial sum Sn = ak. Then k=1 lim an = lim (Sn − Sn−1) = lim Sn − lim Sn−1 = S − S = 0: n!1 n!1 n!1 n!1 The contrapositive of that statement gives a test which can tell us that some series diverge. Theorem 1 (The term test). If the terms of the series don't converge to 0, then the series diverges.
    [Show full text]
  • Comparison Tests for Integrals
    Joe Foster Direct and Limit Comparison Tests Tests for Convergence: When we cannot evaluate an improper integral directly, we try to determine whether it con- verges of diverges. If the integral diverges, we are done. If it converges we can use numerical methods to approximate its value. The principal tests for convergence or divergence are the Direct Comparison Test and the Limit Comparison Test. Direct Comparison Test for Integrals: If0 ≤ f(x) ≤ g(x) on the interval (a, ∞], where a ∈ R, then, ∞ ∞ 1. If g(x) dx converges, then so does f(x) dx. ˆa ˆa ∞ ∞ 2. If f(x) dx diverges, then so does g(x) dx. ˆa ˆa Why does this make sense? 1. If the area under the curve of g(x) is finite and f(x) is bounded above by g(x) (and below by 0), then the area under the curve of f(x) must be less than or equal to the area under the curve of g(x). A positive number less that a finite number is also finite. 2. If the area under the curve of f(x) is infinite and g(x) is bounded below by f(x), then the area under the curve of g(x) must be “less than or equal to” the area under the curve of g(x). Since there is no finite number “greater than” infinity, the area under g(x) must also be infinite. Example 1: Determine if the following integral is convergent or divergent. ∞ cos2(x) 2 dx. ˆ2 x cos2(x) cos2(x) We want to find a function g(x) such that for some a ∈ R, f(x)= ≤ g(x) or f(x)= ≥ g(x) for all x ≥ a.
    [Show full text]