In the same way exponential functions can be used to model a wide variety of phenomena in nature,1 the cosine and sine functions can be used to model their fair share of natural behaviors. In section, we introduced the concept of a sinusoid as a function which can be written either in the form for or equivalently, in the form for . At the time, we remained undecided as to which form we preferred, but the time for such indecision is over. For clarity of exposition we focus on the sine function2 in this section and switch to the independent variable , since the applications in this section are time-dependent. We reintroduce and summarize all of the important facts and definitions about this form of the sinusoid below.
Properties of the Sinusoid
The amplitude is
The angular frequency is and the ordinary frequency is
The period is
The phase is and the phase shift is
The vertical shift or baseline is
Along with knowing these formulas, it is helpful to remember what these quantities mean in context. The amplitude measures the maximum displacement of the sine wave from its baseline (determined by the vertical shift), the period is the length of time it takes to complete one cycle of the sinusoid, the angular frequency tells how many cycles are completed over an interval of length , and the ordinary frequency measures how many cycles occur per unit of time. The phase indicates what angle corresponds to , and the phase shift represents how much of a `head start' the sinusoid has over the un-shifted sine function. The figure below is repeated from Section.
Figure 11.1
In Section, we introduced the concept of circular motion and in Section, we developed formulas for circular motion. Our first foray into sinusoidal motion puts these notions to good use.
A few remarks about Example Example 1 are in order. First, note that the amplitude of in our answer corresponds to the radius of the Giant Wheel. This means that passengers on the Giant Wheel never stray more than feet vertically from the center of the Wheel, which makes sense. Second, the phase shift of our answer works out to be . This represents the `time delay' (in seconds) we introduce by starting the motion at the point as opposed to the point . Said differently, passengers which `start' at take seconds to `catch up' to the point .
Our next example revisits the daylight data first introduced in Section, Exercise.
Harmonic Motion
One of the major applications of sinusoids in Science and Engineering is the study of harmonic motion. The equations for harmonic motion can be used to describe a wide range of phenomena, from the motion of an object on a spring, to the response of an electronic circuit. In this subsection, we restrict our attention to modeling a simple spring system. Before we jump into the Mathematics, there are some Physics terms and concepts we need to discuss. In Physics, `mass' is defined as a measure of an object's resistance to straight-line motion whereas `weight' is the amount of force (pull) gravity exerts on an object. An object's mass cannot change,8 while its weight could change. An object which weighs 6 pounds on the surface of the Earth would weigh 1 pound on the surface of the Moon, but its mass is the same in both places. In the English system of units, `pounds' (lbs.) is a measure of force (weight), and the corresponding unit of mass is the `slug'. In the SI system, the unit of force is `Newtons' (N) and the associated unit of mass is the `kilogram' (kg). We convert between mass and weight using the formula9
. Here, is the weight of the object, is the mass and is the acceleration due to gravity. In the English system, , and in the SI system, . Hence, on Earth a mass of 1 slug weighs 32 lbs. and a mass of 1 kg weighs 9.8 N.10 Suppose we attach an object with mass to a spring as depicted below. The weight of the object will stretch the spring. The system is said to be in `equilibrium' when the weight of the object is perfectly balanced with the restorative force of the spring. How far the spring stretches to reach equilibrium depends on the spring's `spring constant'. Usually denoted by the letter , the spring constant relates the force applied to the spring to the amount the spring stretches in accordance with Hooke's Law11
. If the object is released above or below the equilibrium position, or if the object is released with an upward or downward velocity, the object will bounce up and down on the end of the spring until some external force stops it. If we let denote the object's displacement from the equilibrium position at time , then means the object is at the equilibrium position, means the object is above the equilibrium position, and means the object is below the equilibrium position. The function is called the `equation of motion' of the object.12
t]ccc
Figure 11.9Figure 11.10Figure 11.11
at the
above the
below the
equilibrium position
equilibrium position
equilibrium position
If we ignore all other influences on the system except gravity and the spring force, then Physics tells us that gravity and the spring force will battle each other forever and the object will oscillate indefinitely. In this case, we describe the motion as `free' (meaning there is no external force causing the motion) and `undamped' (meaning we ignore friction caused by surrounding medium, which in our case is air). The following theorem, which comes from Differential Equations, gives as a function of the mass of the object, the spring constant , the initial displacement of the object and initial velocity of the object. As with , means the object is released from the equilibrium position, means the object is released above the equilibrium position and means the object is released below the equilibrium position. As far as the initial velocity is concerned, means the object is released `from rest,' means the object is heading upwards and means the object is heading downwards.13
It is a great exercise in `dimensional analysis' to verify that the formulas given in Theorem work out so that has units and has units ft. or m, depending on which system we choose.
It is possible, though beyond the scope of this course, to model the effects of friction and other external forces acting on the system.15 While we may not have the Physics and Calculus background to derive equations of motion for these scenarios, we can certainly analyze them. We examine three cases in the following example.
Exercises
The sounds we hear are made up of mechanical waves. The note `A' above the note `middle C' is a sound wave with ordinary frequency Hertz . Find a sinusoid which models this note, assuming that the amplitude is and the phase shift is .
The voltage in an alternating current source has amplitude and ordinary frequency Hertz. Find a sinusoid which models this voltage. Assume that the phase is .
The London Eye is a popular tourist attraction in London, England and is one of the largest Ferris Wheels in the world. It has a diameter of 135 meters and makes one revolution (counter-clockwise) every 30 minutes. It is constructed so that the lowest part of the Eye reaches ground level, enabling passengers to simply walk on to, and off of, the ride. Find a sinsuoid which models the height of the passenger above the ground in meters minutes after they board the Eye at ground level.
On page in Section, we found the -coordinate of counter-clockwise motion on a circle of radius with angular frequency to be , where corresponds to the point . Suppose we are in the situation of Exercise above. Find a sinsusoid which models the horizontal displacement
of the passenger from the center of the Eye in meters minutes after they board the Eye. Here we take to mean the passenger is to the right of the center, while means the passenger is to the left of the center.
In Exercise in Section, we introduced the yo-yo trick `Around the World' in which a yo-yo is thrown so it sweeps out a vertical circle. As in that exercise, suppose the yo-yo string is 28 inches and it completes one revolution in 3 seconds. If the closest the yo-yo ever gets to the ground is 2 inches, find a sinsuoid which models the height of the yo-yo above the ground in inches seconds after it leaves its lowest point.
Suppose an object weighing pounds is suspended from the ceiling by a spring which stretches feet to its equilibrium position when the object is attached.
Find the spring constant in and the mass of the object in slugs.
Find the equation of motion of the object if it is released from foot below the equilibrium position from rest. When is the first time the object passes through the equilibrium position? In which direction is it heading?
Find the equation of motion of the object if it is released from inches above the equilibrium position with a downward velocity of feet per second. Find when the object passes through the equilibrium position heading downwards for the third time.
Consider the pendulum below. Ignoring air resistance, the angular displacement of the pendulum from the vertical position, , can be modeled as a sinusoid.18
Figure 11.20
The amplitude of the sinusoid is the same as the initial angular displacement, , of the pendulum and the period of the motion is given by
where is the length of the pendulum and is the acceleration due to gravity.
Find a sinusoid which gives the angular displacement as a function of time, . Arrange things so .
In Exercise section, you found the length of the pendulum needed in Jeff's antique Seth-Thomas clock to ensure the period of the pendulum is of a second. Assuming the initial displacement of the pendulum is , find a sinusoid which models the displacement of the pendulum as a function of time, , in seconds.
The table below lists the average temperature of Lake Erie as measured in Cleveland, Ohio on the first of the month for each month during the years 1971 – 2000.19 For example, represents the average of the temperatures recorded for Lake Erie on every March 1 for the years 1971 through 2000.
Table 11.2
Month
Number,
1
2
3
4
5
6
7
8
9
10
11
12
Temperature
( F),
36
33
34
38
47
57
67
74
73
67
56
46
Using the techniques discussed in Example Example 2, fit a sinusoid to these data.
Using a graphing utility, graph your model along with the data set to judge the reasonableness of the fit.
Use the model you found in part to predict the average temperature recorded for Lake Erie on April and September during the years 1971–2000.20
Compare your results to those obtained using a graphing utility.
The fraction of the moon illuminated at midnight Eastern Standard Time on the day of June, 2009 is given in the table below.21
Table 11.3
Day of
June,
3
6
9
12
15
18
21
24
27
30
Fraction
Illuminated,
0.81
0.98
0.98
0.83
0.57
0.27
0.04
0.03
0.26
0.58
Using the techniques discussed in Example Example 2, fit a sinusoid to these data.22
Using a graphing utility, graph your model along with the data set to judge the reasonableness of the fit.
Use the model you found in part to predict the fraction of the moon illuminated on June 1, 2009. 23
Compare your results to those obtained using a graphing utility.
With the help of your classmates, research the phenomena mentioned in Example Example 4, namely resonance and beats.
What other things in the world might be roughly sinusoidal? Look to see what models you can find for them and share your results with your class.
Answers
and
. The object first passes through the equilibrium point when seconds after the motion starts. At this time, the object is heading upwards.
. The object passes through the equilibrium point heading downwards for the third time when seconds.
Our function and the data set are graphed below. The sinusoid seems to be shifted to the right of our data.
Figure 11.21
The average temperature on April is approximately F and the average temperature on September is approximately F.
Using a graphing calculator, we get the following
Figure 11.22Figure 11.23
This model predicts the average temperature for April to be approximately F and the average temperature on September to be approximately F. This model appears to be more accurate.
Based on the shape of the data, we either choose or we find the second value of which closely approximates the `baseline' value, . We choose the latter to obtain
Our function and the data set are graphed below. It's a pretty good fit.
Figure 11.24
The fraction of the moon illuminated on June 1st, 2009 is approximately
Using a graphing calculator, we get the following.
Figure 11.25Figure 11.26
This model predicts that the fraction of the moon illuminated on June 1st, 2009 is approximately . This appears to be a better fit to the data than our first model.
Adapted from Precalculus, 3rd corrected edition, by Carl Stitz and Jeff Zeager (stitz-zeager.com), licensed under CC BY-NC-SA 3.0. Changes were made: reformatted as an accessible XYZ web edition. License: CC-BY-NC-SA-3.0.