Connor Curran, Cole Davidson, Sophia Drager, Avash Poudel

Slides:



Advertisements
Similar presentations
Section 11.5 – Testing for Convergence at Endpoints.
Advertisements

Chapter Power Series . A power series is in this form: or The coefficients c 0, c 1, c 2 … are constants. The center “a” is also a constant. (The.
Chapter 10 Infinite Series by: Anna Levina edited: Rhett Chien.
Series Slides A review of convergence tests Roxanne M. Byrne University of Colorado at Denver.
Power Series is an infinite polynomial in x Is a power series centered at x = 0. Is a power series centered at x = a. and.
(a) an ordered list of objects.
Sequences and Series & Taylor series
Math Calculus I Part VII: More tests for convergence; Power series.
Math Calculus I August 9 (but first, a quick review…)
Series: Guide to Investigating Convergence. Understanding the Convergence of a Series.
Math Calculus I Part 8 Power series, Taylor series.
Series: Guide to Investigating Convergence. Understanding the Convergence of a Series.
Error Approximation: Alternating Power Series What are the advantages and limitations of graphical comparisons? Alternating series are easy to understand.
Convergence or Divergence of Infinite Series
Chapter 9 Sequences and Series The Fibonacci sequence is a series of integers mentioned in a book by Leonardo of Pisa (Fibonacci) in 1202 as the answer.
Chapter 1 Infinite Series. Definition of the Limit of a Sequence.
Chapter 1 Infinite Series, Power Series
Sec 11.7: Strategy for Testing Series Series Tests 1)Test for Divergence 2) Integral Test 3) Comparison Test 4) Limit Comparison Test 5) Ratio Test 6)Root.
Now that you’ve found a polynomial to approximate your function, how good is your polynomial? Find the 6 th degree Maclaurin polynomial for For what values.
The comparison tests Theorem Suppose that and are series with positive terms, then (i) If is convergent and for all n, then is also convergent. (ii) If.
Does the Series Converge? 10 Tests for Convergence nth Term Divergence Test Geometric Series Telescoping Series Integral Test p-Series Test Direct Comparison.
THE INTEGRAL TEST AND ESTIMATES OF SUMS
ALTERNATING SERIES series with positive terms series with some positive and some negative terms alternating series n-th term of the series are positive.
Ch 9.5 Testing Convergence at Endpoints
This is an example of an infinite series. 1 1 Start with a square one unit by one unit: This series converges (approaches a limiting value.) Many series.
MTH 253 Calculus (Other Topics)
Warm Up 2. Consider the series: a)What is the sum of the series? b)How many terms are required in the partial sum to approximate the sum of the infinite.
9.6 Ratio and Root Tests.
Remainder Theorem. The n-th Talor polynomial The polynomial is called the n-th Taylor polynomial for f about c.
MTH253 Calculus III Chapter 11, Part I (sections 11.1 – 11.6) Sequences Series Convergence Tests.
9.5 Testing for Convergence Remember: The series converges if. The series diverges if. The test is inconclusive if. The Ratio Test: If is a series with.
The ratio and root test. (As in the previous example.) Recall: There are three possibilities for power series convergence. 1The series converges over.
9.5 Alternating Series. An alternating series is a series whose terms are alternately positive and negative. It has the following forms Example: Alternating.
PARAMETRIC EQUATIONS Sketch Translate to Translate from Finds rates of change i.e. Find slopes of tangent lines Find equations of tangent lines Horizontal.
Thursday, March 31MAT 146. Thursday, March 31MAT 146 Our goal is to determine whether an infinite series converges or diverges. It must do one or the.
Does the Series Converge?
The Convergence Theorem for Power Series There are three possibilities forwith respect to convergence: 1.There is a positive number R such that the series.
Lecture 17 – Sequences A list of numbers following a certain pattern
Section 11.5 – Testing for Convergence at Endpoints
Copyright © Cengage Learning. All rights reserved.
Lecture 25 – Power Series Def: The power series centered at x = a:
Copyright © Cengage Learning. All rights reserved.
Chapter 12: Infinite Series
8.1 and 8.2 Summarized.
Calculus II (MAT 146) Dr. Day Monday November 6, 2017
Section 11.3 – Power Series.
Infinite Sequences and Series
MTH 253 Calculus (Other Topics)
The Taylor Polynomial Remainder (aka: the Lagrange Error Bound)
SERIES TESTS Special Series: Question in the exam
Section 8: Alternating Series
Chapter 1 Infinite Series, Power Series
Math 166 SI review With Rosalie .
Convergence and Series
For the geometric series below, what is the limit as n →∞ of the ratio of the n + 1 term to the n term?
Convergence or Divergence of Infinite Series
Section 11.3 Power Series.
SERIES DEF: A sequence is a list of numbers written in a definite order: DEF: Is called a series Example:
Calculus II (MAT 146) Dr. Day Monday, April 9, 2018
Let A = {image} and B = {image} . Compare A and B.
Infinite Sequences and Series
If the sequence of partial sums converges, the series converges
Sec 11.7: Strategy for Testing Series
THE INTEGRAL TEST AND ESTIMATES OF SUMS
Copyright © Cengage Learning. All rights reserved.
Convergence, Series, and Taylor Series
Lesson 11-4 Comparison Tests.
9.6 The Ratio & Root Tests Objectives:
Absolute Convergence Ratio Test Root Test
Other Convergence Tests
Presentation transcript:

Connor Curran, Cole Davidson, Sophia Drager, Avash Poudel Series and Error Connor Curran, Cole Davidson, Sophia Drager, Avash Poudel

Series Tests Nth term Geometric Direct Comparison P-Series Integral Limit Comparison Ratio Root Geometric P-Series Harmonic Telescoping Alternating Nth term

Geometric Used when: a constant is raised to the power of n Converge if: |r| < 1 Diverge if: |r| ≥ 1 If convergent, series will converge to a1 / 1 - r

P-Series 1 / np Convergent if: p > 1 Divergent if: p < 1 Cannot determine what the series converges to

Harmonic Series 1 / n Diverges because it is a p-series with p = 1 Alternating harmonic series converges because of Alternating Series Test

Telescopic Series A series whose partial fraction form collapses to a finite series If terms collapse, series is convergent Series converges to the finite series after the collapse

Alternating Series with alternating signs Converge if: Terms are strictly alternating in sign every other term |bn+1| < |bn| (decreasing in magnitude) Limit is equal to 0 Sum can be estimated using using a partial sum

Nth Term Test Divergent if: limit is not equal to 0 If limit is equal to 0, test is inconclusive and another test is required Value of limit is not sum of the series

Direct Comparison Test Use when a series closely resembles a simpler series Let 0<an≤bn If bn converges, then an converges If an diverges, then bn diverges ∞ n=1 Σ ∞ n=1 Σ ∞ n=1 Σ ∞ n=1 Σ

Integral Test Series must be positive, continuous, and decreasing Convergent if: integral from from 1 to infinity is convergent Divergent if: integral from 1 to infinity is divergent Does not determine what series converges to

Limit Comparison Test If an > 0 and bn > 0 for all n If lim an/bn = c, 0<c<∞, then an and bn both converge or diverge If lim an /bn = 0, then if bn converges an converges If lim an/bn = ∞, then if bn diverges an diverges n→∞ ∞ n=1 Σ ∞ n=1 Σ ∞ n=1 Σ ∞ n=1 Σ n→∞ ∞ n=1 Σ ∞ n=1 Σ n→∞

Ratio Test Convergent if: limit of |an+1 / an| < 1 Divergent if: limit of |an+1 / an| > 1 Inconclusive if: limit of |an+1 / an| = 1

Root Test Convergent if: limit of nth root of |an| < 1 Divergent if: limit is > 1 or equal to infinity Inconclusive if: limit is equal to 1

Taylor Series Used to approximate the behavior of a function; generated by f at x=a P(x) = f(a) + f’(a)*(x-a)’ + f’’(a)*(x-a)2/2! + f’’’(a)*(x-a)3/3! ...

Maclaurin Series A special case of Taylor series generated by f at x=0 P(x) = f(0) + f’(0)*x1 + f’’(0)*x2/2! + f’’’(0)*x3/3! + ...

Alternating Series Error If a series satisfies the alternating series test |Error| ≤ an+1, where Sn is the nth partial sum of the series.

Lagrange Error Bound When a Taylor series is used, the error can be approximated by using the Lagrange Error Bound |Rn(x)| ≤ |fn+1(z)(x-c)n+1/(n+1)!| where z is the number that maximizes the n+1 derivative between x and c, x is the estimate, n is the degree of the taylor polynomial, and c is the center.