3.2 Differentiability Arches National Park

Slides:



Advertisements
Similar presentations
3.2 Differentiability Photo by Vickie Kelly, 2003 Arches National Park Created by Greg Kelly, Hanford High School, Richland, Washington Revised by Terry.
Advertisements

3.2 Differentiability Arches National Park.
TI89 and Differentiability Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003 Arches National Park.
Today in Calculus Go over homework Derivatives by limit definition Power rule and constant rules for derivatives Homework.
1 Discuss with your group. 2.1 Limit definition of the Derivative and Differentiability 2015 Devil’s Tower, Wyoming Greg Kelly, Hanford High School, Richland,
3.2 Differentiability. Yes No All Reals To be differentiable, a function must be continuous and smooth. Derivatives will fail to exist at: cornercusp.
AP Calculus AB/BC 3.2 Differentiability, p. 109 Day 1.
3.2 Derivatives Great Sand Dunes National Monument, Colorado Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003.
Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003 Arches National Park 2.1 The Derivative and the Tangent Line Problem (Part.
3.8 Derivatives of Inverse Trig Functions Lewis and Clark Caverns, Montana Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly,
Derivatives Great Sand Dunes National Monument, Colorado Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003.
5.5 Bases Other than e and Applications (Part 1) Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2008 Acadia National Park,
To be differentiable, a function must be continuous and smooth. Derivatives will fail to exist at: cornercusp vertical tangent discontinuity.
The Second Derivative Greg Kelly, Hanford High School, Richland, Washington Adapted by: Jon Bannon Siena College 2008 Photo by Vickie Kelly, 2003 Arches.
6.4 day 1 Separable Differential Equations Jefferson Memorial, Washington DC Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly,
2.2 Derivatives Great Sand Dunes National Monument, Colorado Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 2003.
5.1 Estimating with Finite Sums
Mean Value Theorem for Derivatives
3.5 Implicit Differentiation
2.3 The Product and Quotient Rules (Part 1)
2.7 and 2.8 Derivatives Great Sand Dunes National Monument, Colorado
4.2 Implicit Differentiation
Extreme Values of Functions
Bell Ringer Solve even #’s.
Chapter 3 Derivatives Section 3.2 Differentiability.
Mean Value Theorem for Derivatives
3.2 Differentiability Arches National Park
The Derivative as a Function
3.2 Differentiability.
3.8 Derivatives of Inverse Trig Functions
5.6 Inverse Trig Functions and Differentiation
2.1 The Derivative and the Tangent Line Problem (Part 2)
3.2 Differentiability, p. 109 Day 1
Optimisation: Extreme Values of Functions
1.3 Exponential Functions
Derivatives of Inverse Trig Functions
3.6 Implicit Differentiation
3.2 Differentiability Arches National Park - Park Avenue
Chapter 3 Derivatives Differentiability.
Chapter 3 Derivatives Section 3.2 Differentiability.
Separable Differential Equations
Extreme Values of Functions
Mean Value Theorem for Derivatives
3.2: Differentiability.
5.3 Inverse Function (part 2)
The Derivative (cont.) 3.1.
Mean Value Theorem for Derivatives
2.2 Limits Involving Infinity
2.2 Basic Differentiation Rules and Rates of Change (Part 1)
Chapter 3 Derivatives Section 3.2 Differentiability.
Extreme Values of Functions
Mean Value Theorem and Antiderivatives
Chapter 3 Derivatives Section 3.2 Differentiability.
3.2 Differentiability Arches National Park
2.4 The Chain Rule (Part 2) Greg Kelly, Hanford High School, Richland, Washington Photo by Vickie Kelly, 2002.
4.2 Area Greenfield Village, Michigan
2.2 Basic Differentiation Rules and Rates of Change (Part 1)
5.1 (Part I): The Natural Logarithmic Function and Differentiation
Mean Value Theorem for Derivatives
Mean Value Theorem for Derivatives
Mean Value Theorem for Derivatives
5.1 Estimating with Finite Sums
3.7 Implicit Differentiation
3.7 Implicit Differentiation
1.3 Exponential Functions
Mean Value Theorem for Derivatives
2.1 The Derivative and the Tangent Line Problem (Part 2)
Limits Involving Infinity
5.5 Bases Other than e and Applications (Part 2)
5.3 Inverse Function (part 2)
Presentation transcript:

3.2 Differentiability Arches National Park Greg Kelly, Hanford High School, Richland, Washington Photo by Vickie Kelly, 2003

Arches National Park Greg Kelly, Hanford High School, Richland, Washington Photo by Vickie Kelly, 2003

To be differentiable, a function must be continuous and smooth. Derivatives will fail to exist at: corner cusp discontinuity vertical tangent

Most of the functions we study in calculus will be differentiable.

Derivatives on the TI-89: You must be able to calculate derivatives with the calculator and without. Today you will be using your calculator, but be sure to do them by hand when called for. Remember that half the test is no calculator.

d ( x ^ 3, x ) Find at x = 2. returns 8 Example: d ( x ^ 3, x ) ENTER returns This is the derivative symbol, which is . 8 2nd It is not a lower case letter “d”. Use the up arrow key to highlight and press . ENTER ENTER returns or use: ENTER

Warning: The calculator may return an incorrect value if you evaluate a derivative at a point where the function is not differentiable. returns Examples: returns

Graphing Derivatives Graph: What does the graph look like? This looks like: Use your calculator to evaluate: The derivative of is only defined for , even though the calculator graphs negative values of x.

There are two theorems on page 110: If f has a derivative at x = a, then f is continuous at x = a. Since a function must be continuous to have a derivative, if it has a derivative then it is continuous.

p Intermediate Value Theorem for Derivatives If a and b are any two points in an interval on which f is differentiable, then takes on every value between and . Between a and b, must take on every value between and . p