Calculus
This chapter covers the following topics:
- The derivative
- L’Hospital’s rule (L’Hôpital’s rule)
- Test for a maximum and minimum
- Point of inflection
- Curvature and radius of curvature
- Differentiation rules
- Integral calculus
- Indefinite integrals
- Differential equations
The derivative
The derivative of a function describes how the function’s output changes as its input changes. In other words, it measures the function’s instantaneous rate of change.
For a function , the derivative is defined by the limit:
L’Hospital’s rule (L’Hôpital’s rule)
L’Hospital’s Rule helps you evaluate limits that produce indeterminate forms such as or . The idea is to differentiate the numerator and denominator separately.
If
is indeterminate, then:
provided the right-hand limit exists.
Example: evaluating a limit with L’Hospital’s rule
Evaluate .
Direct substitution gives , an indeterminate form, so L’Hospital’s rule applies. Differentiate the numerator and denominator separately, then substitute again:
Answer:
Test for a maximum and minimum
To decide whether a function has a local maximum or local minimum at a critical point , you can use the second derivative test.
- If , then is a local minimum.
- If , then is a local maximum.
A critical point is where (or where does not exist), and the test is inconclusive when . On a closed interval , the absolute maximum or minimum can also fall at an endpoint, so evaluate at every critical point inside the interval and at both endpoints, then compare.
Point of inflection
A point of inflection is a point where the curve changes concavity (the curvature changes direction). In terms of derivatives, this happens when the second derivative changes sign.
A common condition to check is:
But this condition alone isn’t sufficient - you also need to confirm that actually changes sign around that point. If it doesn’t, the point isn’t a true inflection point even though the second derivative is zero there.
Curvature and radius of curvature
Curvature () measures how sharply a curve bends at a point. One way to define curvature is:
where is the angle of the tangent and is the arc length.
The radius of curvature () is the reciprocal of curvature:
It represents the radius of the circular arc that best approximates the curve at that point.
Example: radius of curvature
Find the radius of curvature of at .
First find the derivatives: , so , and .
Substitute into the curvature formula:
The radius of curvature is the reciprocal:
Answer:
Derivatives
In these formulas, represent functions of . Also, , and represent constants. These tables mirror the FE Reference Handbook’s Mathematics section, so the exam skill to build is locating and applying the right entry quickly, not memorizing the whole list.
The following definitions are used:
Basic differentiation rules
Power and logarithmic differentiation
Exponential and trigonometric differentiation
With , this gives .
Inverse trigonometric differentiation
Example: logarithmic differentiation of
Take the natural log of both sides: .
Differentiate both sides with respect to , applying the product rule on the right side:
Multiply both sides by to isolate :
Answer:
Integral calculus
Integral calculus focuses on accumulation. It’s used to compute quantities like area under a curve, volume, and total change.
An indefinite integral represents a family of antiderivatives. For a function :
where is an antiderivative of , and is the constant of integration.
Example: area between two curves
Find the area of the region bounded by and between their intersection points.
The curves intersect where , so and . On , lies above , so the area between them is the definite integral of their difference:
Answer:
Indefinite integrals
Basic integration rules
Example: integration by parts
Find .
Choose , which gets simpler when differentiated, and , so and . Rule 6 gives:
Answer: (plus a constant), which is entry 14 below. Choosing and instead leaves , a harder integral than the one you started with - the sign that and are the wrong way round.
Logarithmic and exponential integrals
Trigonometric integrals
Logarithmic and hyperbolic integrals
Rational integrals
Differential equations
Ordinary linear differential equations
A common class of ordinary linear differential equations has the form:
where
are constants.
Homogeneous solution
When the equation is homogeneous (i.e., ), the solution is:
where is a distinct root of the characteristic polynomial with:
Higher orders of multiplicity imply higher powers of . The complete solution for the differential equation is:
where is the general solution for the homogeneous equation, and is any particular solution for .
Furthermore, specific forms result in specific forms, some of which are:
- If then
- If then
- If then , where is a polynomial of degree .
First-order linear homogeneous differential equations with constant coefficients
where is a real constant. The solution is:
where is a constant that satisfies the initial conditions.
First-order linear nonhomogeneous differential equations
where is the time constant, is the gain, and is a constant forcing input. With initial condition , the solution is:
Dividing through by puts the equation in the form , so is the time constant.
Second-order linear homogeneous differential equations with constant coefficients
An equation of the form:
can be solved by assuming a trial exponential solution:
By substitution, the characteristic equation is:
The roots of the characteristic equation are:
The nature of the solution depends on the discriminant :
-
If , the solution is in the form of real distinct roots:
-
If , the solution is in the form of repeated roots:
-
If , the solution is in the form of complex conjugate roots:
Given:
The solution is:
where:
Example: solving a second-order homogeneous ODE
Solve .
The characteristic equation is , which factors as , giving roots and . Since the roots are real and distinct, the general solution is:
Answer: