[Calculus Bible]
Calculus Bible Chapter 2: Derivatives
This post summarizes Chapter 2 of James Stewart's Calculus.
2.1 Derivatives and Rates of Change#
The Tangent Problem (p.80)#
The slope of a tangent line is expressed as the limit of the slope of a secant line.
The tangent line to the curve at the point is the line through with slope (if the limit exists):
If we let , then , and the slope of the secant line can be written as:
The Velocity Problem (p.81)#
The function describing the motion of an object is called its position function. Over the time interval from to , the change in position is .
The average velocity over this interval is:
Now suppose we compute the average velocity over shorter and shorter time intervals — that is, as approaches .
The instantaneous velocity at time is defined as the limit of average velocities: (p.82)
The Derivative at a Point (p.83)#
The derivative of a function at a number , denoted , is defined by the following limit (if it exists):
Rates of Change#
Let be a quantity that depends on another quantity . Then is a function of , written . If changes from to , the change in (the increment of ) is:
The corresponding change in is:
The following difference quotient is called the average rate of change of with respect to over the interval : (p.84)
The limit of this average rate of change is called the instantaneous rate of change of with respect to at :
2.2 The Derivative as a Function#
If we replace the fixed number with a variable in the derivative definition, we obtain: (p.88)
This function is called the derivative of .
Alternative notations for the derivative (p.92)
The symbols and are called differentiation operators — they denote the operation of differentiation, the process of computing a derivative. The notation was introduced by Leibniz.
Differentiable Functions (p.92)
A function is differentiable at if exists. is differentiable on an open interval [or ] if it is differentiable at every number in the interval.
The relationship between continuity and differentiability is: (p.93)
If is differentiable at , then is continuous at .
When a function is not differentiable (p.94)
Three cases where a function fails to be differentiable:
- A corner (sharp bend)
- A discontinuity
- A vertical tangent (perfectly vertical slope)
Higher Derivatives (p.94)
If is a differentiable function, then its derivative is also a function, so we can compute . This is called the second derivative.
In Leibniz notation, the second derivative of is written:
c.f. The instantaneous rate of change of velocity with respect to time is called the acceleration of the object. The acceleration function is the derivative of the velocity function, and the second derivative of the position function:
Third Derivative (p.97)
The third derivative can be interpreted as the slope of the curve , or as the rate of change of . For , the notation for the third derivative is:
2.3 Basic Differentiation Rules#
Derivative of a Constant Function (p.100)
The Power Rule — If is a positive integer, then: (p.100)
The Constant Multiple Rule — If is a constant and is a differentiable function, then: (p.104)
The Sum Rule — If and are differentiable functions, then: (p.104)
The Difference Rule — If and are differentiable functions, then: (p.104)
Derivatives of Sine and Cosine (p.106)
2.4 The Product and Quotient Rules#
The Product Rule — If and are differentiable functions, then: (p.112)
The Quotient Rule — If and are differentiable functions, then: (p.112)
Derivatives of Trigonometric Functions (p.116)
2.5 The Chain Rule#
The differentiation rules covered so far cannot handle composite functions. (p.119)
Example:
If we let and , then , i.e., .
The derivative of the composite function is the product of the derivatives of and . This is the Chain Rule.
Intuition: If is the rate of change of with respect to , is the rate of change of with respect to , and is the rate of change of with respect to , then if changes twice as fast as and changes three times as fast as , then changes six times as fast as .
Leibniz notation:
Prime notation:
The Power Rule Combined with the Chain Rule (p.123)
2.6 Implicit Differentiation#
- Explicit function: a function where one variable is defined directly in terms of another (e.g., ) (p.128)
- Implicit function: a function defined by a relation between multiple variables (e.g., )
To differentiate an implicit function, we use implicit differentiation: differentiate both sides with respect to , then solve for .
Example: Differentiating using implicit differentiation (p.129)
- Differentiate both sides.
- Since is not directly a function of , apply the chain rule by treating as a function of .
- Solving for gives:
2.7 Related Rates#
Related Rates Problems (p.134): Given two quantities whose rates of change are related, use the rate of change of the more easily measured quantity to find the rate of change of the other.
Example: Air is being pumped into a spherical balloon so that its volume is increasing at a rate of . How fast is the radius increasing when the diameter is ?
- Identify the given and unknown information
- Given: the rate of increase of volume is
- Unknown: the rate of increase of the radius when the diameter is
- Let be the volume of the balloon and the radius. Both are functions of time .
- Given:
- Unknown: when
- To relate and , use the formula for the volume of a sphere to connect and .
- Differentiate both sides with respect to . Use the chain rule on the right side.
- Solve for the unknown quantity.
- Substitute and .
2.8 Linear Approximations and Differentials#
When is near , we use the tangent line to at the point as an approximation to the curve . (p.140)
Equation of the tangent line:
The following approximation is called the linear approximation or tangent line approximation of at :
In other words, a single tangent line lets us approximate the value of the function at points near the point of tangency.
This is also widely applied in physics. (p.143)
Summary#
- Derivative at a point: — the slope of the tangent line and the instantaneous rate of change
- Derivative as a function: , obtained by replacing the fixed number with
- Basic differentiation rules: constant, power, constant multiple, sum, difference, trigonometric functions
- Product Rule / Quotient Rule: differentiating products or quotients of two functions
- Chain Rule: differentiating composite functions —
- Implicit differentiation: differentiate both sides with respect to , then solve for
- Related rates: use the chain rule to connect rates of change of different quantities
- Linear approximation: approximate function values using the tangent line
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