Continuity
The limit of a continuous function at a point is equal to the value of the function at
that point.
The Squeeze Theorem
The Squeeze theorem allows us to compute the limit of a difficult function by
“squeezing” it between two easy functions.
Could it be anything?
Two young mathematicians investigate the arithmetic of large and small
numbers.
Limits of the form nonzero over zero
What can be said about limits that have the form nonzero over zero?
Horizontal asymptotes
We explore functions that behave like horizontal lines as the input grows without
bound.
Continuity of piecewise functions
Here we use limits to check whether piecewise functions are continuous.
The definition of the derivative
We compute the instantaneous growth rate by computing the limit of average growth
rates.
The derivative as a function
Here we study the derivative of a function, as a function, in its own right.
Differentiability implies continuity
We see that if a function is differentiable at a point, then it must be continuous at
that point.
The derivative of the natural exponential function
We derive the derivative of the natural exponential function.
Derivatives of products are tricky
Two young mathematicians discuss derivatives of products and products of
derivatives.
The Product rule and quotient rule
Here we compute derivatives of products and quotients of functions
Derivatives of trigonometric functions
We use the chain rule to unleash the derivatives of the trigonometric functions.
Rates of rates
Two young mathematicians look at graph of a function, its first derivative, and its
second derivative.
Higher order derivatives and graphs
Here we make a connection between a graph of a function and its derivative and
higher order derivatives.
Position, velocity, and acceleration
Here we discuss how position, velocity, and acceleration relate to higher
derivatives.
Implicit differentiation
In this section we differentiate equations that contain more than one variable on one
side.
Derivatives of inverse exponential functions
We derive the derivatives of inverse exponential functions using implicit
differentiation.
Derivatives of inverse trigonometric functions
We derive the derivatives of inverse trigonometric functions using implicit
differentiation.
The Inverse Function Theorem
We see the theoretical underpinning of finding the derivative of an inverse function at
a point.
Computations for graphing functions
We will give some general guidelines for sketching the plot of a function.
Linear approximation
We use a method called “linear approximation” to estimate the value of a
(complicated) function at a given point.
Approximating area with rectangles
We introduce the basic idea of using rectangles to approximate the area under a
curve.
Relating velocity, displacement, antiderivatives and areas
We give an alternative interpretation of the definite integral and make a connection
between areas and antiderivatives.
The First Fundamental Theorem of Calculus
The rate that accumulated area under a curve grows is described identically by that
curve.
The Second Fundamental Theorem of Calculus
The accumulation of a rate is given by the change in the amount.