Series, Convergence, Divergence


Lecture Notes

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Section 1, Page 1 to page 2

Definition, with examples of convergent and divergent sequences.

Instructor: Prof. Jason Starr
Prior Knowledge: Limits (section 2 of lecture 2)
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Section 2, Page 2 to page 3

The squeezing lemma and the monotone convergence test for sequences.

Instructor: Prof. Jason Starr
Prior Knowledge: Sequences (section 1 of this lecture)
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Section 3, Page 3 to page 4

Definition, using the sequence of partial sums and the sequence of partial absolute sums. Absolutely convergent and conditionally convergent series are defined, with examples of the harmonic and alternating harmonic series.

Instructor: Prof. Jason Starr
Prior Knowledge: Sequences (section 1 of this lecture)
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Online Textbook Chapters

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Definitions of sequences and series, with examples of harmonic, geometric, and exponential series as well as a definition of convergence.

Prior Knowledge: None
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Examples of the uses of manipulating or rearranging the terms of an absolutely convergent series.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Infinite Series (OT30.1)
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Steps for using a spreadsheet to compute the partial sums of a series.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Infinite Series (OT30.1)
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Exam Questions

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Problem 17 (page 2)

Determining whether a given series converges or diverges.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 6C-1 (page 41) to problem 6C-3 (page 41)

Three questions which involve finding the sum of a geometric series, writing infinite decimals as the quotient of integers, determining whether fifteen different series converge or diverge, and using Riemann sums to show a bound on the series of sums of 1/n.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 7A-1 (page 43) to problem 7A-5 (page 43)

Five questions which involve finding whether a series converges or diverges, finding the sum of a series, finding a rational expression for an infinite decimal, and finding the total distance traveled by a ball as it bounces up and down repeatedly.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Analysis of Graphs Limits of Functions Asymptotic & Unbounded Behavior Continuity: Property of Functions Parametric, Polar & Vector Function Concept of the Derivative Derivative at a Point Derivative as a Function Second Derivatives Applications of Derivatives Computation of Derivatives Interpretations & Properties of Definite Integrals Applications of Integrals Fundamental Theorem of Calculus Applications of Antidifferentiation Numerical Approximations to Definite Integ Concept of Series Series of Constants Taylor Series Graphs of Functions Intuitive Understanding: Limiting Process Calculating Limits Using Algebra Asymptotic Behavior: Infinity Continuity Continuity in Terms of Limits Analysis of Planar Curves Derivative Presented Graphically, Numerically & Analytically Derivative Interpreted as Instantaneous Rate of Change Derivative: Limit of the Difference Quotient Differentiability & Continuity Tangent Line - Curve at a Point & Local Linear Approximation Instantaneous Rate of Change Approximate Rate of Change Characteristics of f & f Relationship Between Behavior of f & Sign of f Mean Value Theorem & Geometric Consequences Characteristics: Graphs of f, f & f Relationship Between Concavity of f & Sign of f'' Points of Inflection - Concavity Changes Analysis of Curves Applications of Derivatives Optimization: Absolute & Relative Extrema Modeling Rates of Change Implicit Differentiation & Derivatives of Inverse Functions Derivative as a Rate of Change l'Hôpital's Rule Geometric Interpretation of Differential Equations Derivatives of Basic Functions Rules: Derivative of Sums, Products & Quotients of Functions Chain Rule & Implicit Differentiation Derivatives: Parametric, Polar & Vector Functions Definite Integral - Limit of Riemann Sums Rate of Change of a Quantity/Change of Quantity over Interval Properties of Definite Integrals Appropriate Integrals Evaluate Definite Integrals Representation of Specific Antiderivatives Antiderivatives From Derivatives of Basic Functions Integration by Substitution, Parts & Partial Fractions Improper Integrals Separable Equations & Modeling Riemann & Trapezoidal Sums Series, Convergence, Divergence Motivating Examples Geometric Series with Applications The Harmonic Series Alternating Series - Error Bound Series as Riemann Sums & the Integral Test Ratio Test - Convergence/Divergence Comparison Test Taylor Polynomial Approximation Maclaurin & Taylor Series Maclaurin Series for Basic Functions Manipulating Taylor Series Power Series Defining Functions Radius/Interval of Convergence Lagrange Error Bound