Riemann & Trapezoidal Sums


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Lecture Notes

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Section 1, Page 1

Introduction to approximation techniques other than vertical strips (Trapezoid Rule and Simpson's Rule).

Instructor: Prof. Jason Starr
Prior Knowledge: Riemann Integral (section 4 of lecture 14) and Fundamental Theorem of Calculus (section 3 of lecture 15)
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Section 2, Page 2

Derivation of the Trapezoid Rule for approximating Riemann integrals.

Instructor: Prof. Jason Starr
Prior Knowledge: Riemann Sums and Integrals (sections 3 and 4 of lecture 14)
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Section 3, Page 2 to page 5.

Derivation of Simpson's Rule for approximating Riemann integrals. Worked example using Trapezoid Rule and Simpson's Rule.

Instructor: Prof. Jason Starr
Prior Knowledge: Riemann Sums and Integrals (sections 3 and 4 of lecture 14)
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Online Textbook Chapters

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Finding Riemann sums with fixed widths using the leftmost, rightmost, maximum, and minimum argument in each strip, including comparisons of each and an applet for finding the leftmost and rightmost Riemann sums for a function.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Riemann Sums (OT20.2)
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Document Document

Definition of this rule for approximating the area under a curve, including a measure of the error for this method compared to the actual value of the area.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Riemann Sums (OT20.2)
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Definition and formula for this rule which uses quadratics to approximate the area under a curve, including a comparison of this and the Trapezoid Rule. Also includes an applet for finding the area under a curve using the rectangular left, rectangular right, trapezoid, and Simpson's Rule.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Trapezoid Rule (OT25.1)
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Using extrapolation to greatly improve the accuracy of approximations using the Trapezoid Rule or Simpson's Rule.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Trapezoid Rule (OT25.1) and Simpsons Rule (OT25.2)
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Exam Questions

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Problem 2 (Page 3 to page 4)

Computing the right endpoint Riemann sum of an integral and then using that answer to evaluate a limit.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Problem 4.1 (page 3) to problem 4.3 (page 3)

Three problems which involve evaluating Riemann sums and integrals.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Problem 9 (page 1)

Finding the approximate value of an integral using each rule with two subintervals.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 5 (page 1)

Estimating the number of hits a player got in a month using the two rules.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 2 (page 1)

Using Riemann Sums, the Trapezoid Rule, and Simpson's Rule to approximate a definite integral.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 9 (page 2)

Estimating a definite integral of the sine-squared function using three intervals of the Trapezoidal Rule.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 3B-1 (page 21) to problem 3B-7 (page 22)

Seven questions which involve using sigma notation for sums, computing Riemann sums for definite integrals, and evaluating limits by relating them to Riemann sums.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 3G-1 (page 26) to problem 3G-5 (page 27)

Five questions which involve approximating integrals using Riemann sums, the Trapezoidal Rule, and Simpson's Rule.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Java Applet

Java Applet Java Applet
Requires Java Virtual Machine

Applet which uses the Left Hand Rule, Right Hand Rule, Trapezoid Rule, and Simpson's Rule to approximate the area under a specified curve.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Special Riemann Sums (OT20.5), Trapezoid Rule (OT25.1), and Simpsons Rule (OT25.2)
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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