Chain Rule & Implicit Differentiation


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Lecture Notes

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Section 4, Page 3

Chain Rule for derivatives, including definition of composite functions and a worked example.

Instructor: Prof. Jason Starr
Prior Knowledge: Derivative as the Limit of a Difference Quotient (section 2 of lecture 1)
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Section 5, Page 3

Implicit differentiation defined.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Section 1, Page 1

Implicit differentiation demonstrated through an example.

Instructor: Prof. Jason Starr
Prior Knowledge: Implicit Differentiation (section 5 of lecture 4) and Derivative of xn (section 3 of lecture 3)
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Online Textbook Chapter

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Rules for the derivatives of sums and products of functions, as well as the chain rule and rules for finding the derivative of an inverse function.

Instructor: Prof. Daniel J. Kleitman
Prior Knowledge: Differentiability (OT6.1)
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Practice Problems

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Problem 2 (page 2)

Two part question that involves applying and explaining the chain rule for derivatives.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Problem 3 (page 2)

Two part question involving a bank's liability from a loan and a savings account, each with continuously compounded interest.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Problem 4 (page 2 to page 3)

Taking the first and second derivatives of a function involving an exponential and a cosine.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Exam Questions

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Problem 3 (page 4)

Finding the equation of a tangent line to the graph of a function that is defined with an implicit equation.

Instructor: Prof. Jason Starr
Prior Knowledge: None
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Problem 1 (page 1) to problem 2 (page 1)

Two questions finding the derivatives of functions.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 4 (page 1)

Finding the derivative of the inverse sine function using implicit differentiation.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 3 (page 1)

Finding the derivative of an implicitly defined function.

Instructor: Prof. David Jerison
Prior Knowledge: None
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Problem 1F-1 (page 5) to problem 1F-8 (page 5)

Eight questions which involve finding derivatives using the Chain rule and the method of implicit differentiation.

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
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