Precalculus with Integrated CalculusXYZ Homework Edition

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11.3 Graphs of Sine and Cosine

On page Section 11.2, we discussed how to interpret the sine and cosine of real numbers. To review, we identify a real number t with an oriented angle θ measuring t radians1 and define sin ( t ) = sin ( θ ) and cos ( t ) = cos ( θ ) . Since every real number can be identified with one and only one angle θ this way, the domains of the functions f ( t ) = sin ( t ) and g ( t ) = cos ( t ) are all real numbers, ( , ) .

When it comes to range, recall that the sine and cosine of angles are coordinates of points on the Unit Circle and hence, each fall between 1 and 1 inclusive. Since the real number line,2 when wrapped around the Unit Circle completely covers the circle, we can be assured that every point on the Unit Circle corresponds to at least one real number. Putting these two facts together, we conclude the range of f ( t ) = sin ( t ) and g ( t ) = cos ( t ) are both [ 1 , 1 ] . We summarize these two important facts below.

Our aim in this section is to become familiar with the graphs of f ( t ) = sin ( t ) and g ( t ) = cos ( t ) . To that end, we begin by making a table and plotting points. We'll start by graphing f ( t ) = sin ( t ) by making a table of values and plotting the corresponding points. We'll keep the independent variable ` t ' for now and use the default ` y ' as our dependent variable.3 Note in the graph below, on the right, the scale of the horizontal and vertical axis is far from 1:1. (We will present a more accurately scaled graph shortly.)

t sin ( t ) ( t , sin ( t ) ) 0 0 ( 0 , 0 ) π 4 2 2 ( π 4 , 2 2 ) π 2 1 ( π 2 , 1 ) 3 π 4 2 2 ( 3 π 4 , 2 2 ) π 0 ( π , 0 ) 5 π 4 2 2 ( 5 π 4 , 2 2 ) 3 π 2 1 ( 3 π 2 , 1 ) 7 π 4 2 2 ( 7 π 4 , 2 2 ) 2 π 0 ( 2 π , 0 )

Figure: Graphing .
Figure 11.84 Graphing y = sin ( t ) .

If we plot additional points, we soon find that the graph repeats itself. This shouldn't come as too much of a surprise considering Theorem 11.2. In fact, in light of that theorem, we expect the function to repeat itself every 2 π units. Below is a more accurately scaled graph highlighting the portion we had already graphed above. The graph is often described as having a `wavelike' nature and is sometimes called a sine wave or, more technically, a sinusoid.

Figure: A more accurately scaled graph of .
Figure 11.85 A more accurately scaled graph of f ( t ) = sin ( t ) .

Note that by copying the highlighted portion of the graph and pasting it end-to-end, we obtain the entire graph of f ( t ) = sin ( t ) . We give this `repeating' property a name.

We have already seen a family of periodic functions in Section 1.2: the constant functions. However, despite being periodic a constant function has no period. (We'll leave that odd gem as an exercise for you.)

Returning to f ( t ) = sin ( t ) , we see that by Definition 11.3, f is periodic since sin ( t + 2 π ) = sin ( t ) . To determine the period of f , we need to find the smallest real number p so that f ( t + p ) = f ( t ) for all real numbers t or, said differently, the smallest positive real number p such that sin ( t + p ) = sin ( t ) for all real numbers t .

We know that sin ( t + 2 π ) = sin ( t ) for all real numbers t but the question remains if any smaller real number will do the trick. Suppose p > 0 and sin ( t + p ) = sin ( t ) for all real numbers t . Then, in particular, sin ( 0 + p ) = sin ( 0 ) = 0 so that sin ( p ) = 0 . From this we know p is a multiple of π . Since sin ( π 2 ) sin ( π 2 + π ) , we know p π . Hence, p = 2 π so the period of f ( t ) = sin ( t ) is 2 π .

Having period 2 π essentially means that we can completely understand everything about the function f ( t ) = sin ( t ) by studying one interval of length 2 π , say [ 0 , 2 π ] .4 In some advanced texts, the interval of choice is [ π , π ) . For this reason, when graphing sine (and cosine) functions, we typically restrict our attention to graphing these functions over the course of one period to produce one cycle of the graph.

Not surprisingly, the graph of g ( t ) = cos ( t ) exhibits similar behavior as f ( t ) = sin ( t ) as seen below.5

t cos ( t ) ( t , cos ( t ) ) 0 1 ( 0 , 1 ) π 4 2 2 ( π 4 , 2 2 ) π 2 0 ( π 2 , 0 ) 3 π 4 2 2 ( 3 π 4 , 2 2 ) π 1 ( π , 1 ) 5 π 4 2 2 ( 5 π 4 , 2 2 ) 3 π 2 0 ( 3 π 2 , 0 ) 7 π 4 2 2 ( 7 π 4 , 2 2 ) 2 π 1 ( 2 π , 1 )

Figure: Graphing .
Figure 11.86 Graphing y = cos ( t ) .

Like f ( t ) = sin ( t ) , g ( t ) = cos ( t ) is a wavelike curve with period 2 π . Moreover, the graphs of the sine and cosine functions have the same shape - differing only in what appears to be a horizontal shift. As we'll prove in Section 12.2, sin ( t + π 2 ) = cos ( t ) , which means we can obtain the graph of y = cos ( t ) by shifting the graph of y = sin ( t ) to the left π 2 units.6

Figure: The graph of .
Figure 11.87 The graph of g ( t ) = cos ( t ) .

While arguably the most important property shared by f ( t ) = sin ( t ) and g ( t ) = cos ( t ) is their periodic `wavelike' nature,7 their graphs suggest these functions are both continuous and smooth. Recall from Section 2.1 that, like polynomial functions, the graphs of the sine and cosine functions have no jumps, gaps, holes in the graph, vertical asymptotes, corners or cusps.

Note the graphs of both f ( t ) = sin ( t ) and g ( t ) = cos ( t ) meander as t or as . Said differently, none of the limits lim t sin ( t ) , lim t sin ( t ) , lim t cos ( t ) , or lim t cos ( t ) exist. Even though these functions are `trapped' (or bounded) between 1 and 1 , neither graph has any horizontal asymptotes.

Lastly, the graphs of f ( t ) = sin ( t ) and g ( t ) = cos ( t ) suggest each enjoy one of the symmetries introduced in Section 2.1. The graph of y = sin ( t ) appears to be symmetric about the origin while the graph of y = cos ( t ) appears to be symmetric about the y -axis. Indeed, as we'll prove in Section 12.2, f ( t ) = sin ( t ) is, in fact, an odd function: 8 that is, sin ( t ) = sin ( t ) and g ( t ) = cos ( t ) is an even function, so cos ( t ) = cos ( t ) .

We summarize all of these properties in the following result.

Now that we know the basic shapes of the graphs of y = sin ( t ) and y = cos ( t ) , we can use the results of Section 5.4 to graph more complicated functions using transformations. The fact that both of these functions are periodic means we only have to know what happens over the course of one period of the function in order to determine what happens to all points on the graph. To that end, we graph the `fundamental cycle' - the portion of each graph generated over the interval [ 0 , 2 π ] - for each sine and cosine:

Figure: The `fundamental cycle' of .
Figure 11.88 The `fundamental cycle' of y = sin ( t ) .
Figure: The `fundamental cycle' of .
Figure 11.89 The `fundamental cycle' of y = cos ( t ) .

In working through Section 5.4, it was very helpful to track `key points' through the transformations. The `key points' we've indicated on the graphs above correspond to the quadrantal angles and generate the zeros and the extrema of functions. Since the quadrantal angles divide the interval [ 0 , 2 π ] into four equal pieces, we shall refer to these angles henceforth as the `quarter marks.'

It is worth noting that because the transformations discussed in Section 5.4 are linear,9 the relative spacing of the points before and after the transformations remains the same.10 In particular, wherever the interval [ 0 , 2 π ] is mapped, the quarter marks of the new interval correspond to the quarter marks of [ 0 , 2 π ] . (Can you see why?) We will exploit this fact in the following example.

As previously mentioned, the curves graphed in Example 11.3.1 are examples of sinusoids. A sinusoid is the result of taking the graph of y = sin ( t ) or y = cos ( t ) and performing any of the transformations mentioned in Section 5.4. We graph one cycle of a generic sinusoid below. Sinusoids can be characterized by four properties: period, phase shift, vertical shift (or `baseline'), and amplitude.

Coordinate-plane figure.
Figure 11.94

We have already discussed the period of a sinusoid. If we think of t as measuring time, the period is how long it takes for the sinusoid to complete one cycle and is usually represented by the letter T . The standard period of both sin ( t ) and cos ( t ) is 2 π , but horizontal scalings will change this.

In Example 11.3.1, for instance, the function f ( t ) = 3 sin ( 2 t ) has period π instead of 2 π because the graph is horizontally compressed by a factor of 2 as compared to the graph of y = sin ( t ) . However, the period of g ( t ) = 2 cos ( t + π 2 ) + 1 is the same as the period of cos ( t ) , 2 π , since there are no horizontal scalings.

The phase shift of the sinusoid is the horizontal shift. Again, thinking of t as time, the phase shift of a sinusoid can be thought of as when the sinusoid `starts' as compared to t = 0 . Assuming there are no reflections across the y -axis, we can determine the phase shift of a sinusoid by finding where the value t = 0 on the graph of y = sin ( t ) or y = cos ( t ) is mapped to under the transformations.

For f ( t ) = 3 sin ( 2 t ) , the phase shift is ` 0 ' since the value t = 0 on the graph of y = sin ( t ) remains stationary under the transformations. Loosely speaking, this means both y = sin ( t ) and y = 3 sin ( 2 t ) `start' at the same time. The phase shift of g ( t ) = 2 cos ( t + π 2 ) + 1 is π 2 or ` π 2 to the left' since the value t = 0 on the graph of y = cos ( t ) is mapped to t = π 2 on the graph of y = 2 cos ( t + π 2 ) + 1 . Again, loosely speaking, this means y = 2 cos ( t + π 2 ) + 1 starts π 2 time units earlier than y = cos ( t ) .

The vertical shift of a sinusoid is exactly the same as the vertical shifts in Section 5.4 and determines the new `baseline' of the sinusoid. Thanks to symmetry, the vertical shift can always be found by averaging the maximum and minimum values of the sinusoid. For f ( t ) = 3 sin ( 2 t ) , the vertical shift is 0 whereas the vertical shift of g ( t ) = 2 cos ( t + π 2 ) + 1 is 1 or ` 1 up.'

The amplitude of the sinusoid is a measure of how `tall' the wave is, as indicated in the figure below. Said differently, the amplitude measures how much the curve gets displaced from its `baseline. ' The amplitude of the standard cosine and sine functions is 1 , but vertical scalings can alter this.

In Example 11.3.1, the amplitude of f ( t ) = 3 sin ( 2 t ) is 3 , owing to the vertical stretch by a factor of 3 as compared with the graph of y = sin ( t ) . In the case of g ( t ) = 2 cos ( t + π 2 ) + 1 , the amplitude is 2 due to its vertical stretch as compared with the graph of y = cos ( t ) . Note that the ` + 1 ' here does not affect the amplitude of the curve; it merely changes the `baseline' from y = 0 to y = 1 .

The following theorem shows how these four fundamental quantities relate to the parameters which describe a generic sinusoid. The proof follows from Theorem 5.11 and is left to the reader in Exercise.

The parameter ω mentioned above is called the angular frequency, or more simply, the frequency of the sinusoid and is the number of cycles the sinusoid completes over an interval of length 2 π . That is, ω measures how `frequently' the sinusoid repeats over an interval of length 2 π . As we'll see in the next example, we can always ensure ω > 0 using the even and odd properties of the cosine and sine functions, respectively. If t represents time, ω as represents how fast the sinusoid is being generated in terms of radians per unit time. In essence, it is the angular speed of the curve.

A quantity closely related to the angular frequency of the sinusoid is the ordinary frequency of the sinusoid, usually denoted f . The ordinary frequency of a sinusoid measures the number of cycles the sinusoid completes over an interval of length 1 . Since the period, T represents the length of the interval required for a sinusoid to make one complete cycle, we have f = 1 T . Once again, if t represents time, the ordinary frequency measures how fast the sinusoid is being generated in terms of complete cycles per unit time.11

Note that since T = 2 π ω , f = 1 T = ω 2 π . Rewriting, we get ω = 2 π f . To understand this equation in terms of units, recall 1 complete cycle (revolution) around the Unit Circle counts for 2 π radians. Hence, to get from f , measured in cycles per unit time, to ω , measured in radians per unit time, we need to multiply by 2 π .

If the concepts of period and frequency seem familiar, they should. In Section 11.1, we discussed these very same ideas in the context of Example 11.1.3 and revisited them again in Section 11.2 in Equation 11.3. and Example 11.2.6. On the one hand, the notions presented here are more general, since they are not tied directly to circular motion. On the other hand, the stipulation in this section that ω > 0 means we are restricting our attention to angular speeds instead of the more general angular velocities.12

Last, but not least, the quantity ϕ mentioned in Theorem 11.6 is called the phase or phase angle of the sinusoid. The phase of a sinusoid is the angle in the argument which corresponds to t = 0 , and is important in describing waves in fields such as physics and electronics. When graphing sinusoids, however, we focus our attention on the horizontal shift induced by ϕ , ϕ ω .

We put Theorem 11.6 to good use in the next example.

Note that in this section, we have discussed two ways to graph sinusoids: using Theorem 5.11 from Section 5.4 and using Theorem 11.6. Both methods will produce one cycle of the resulting sinusoid, but each method may produce a different cycle of the same sinusoid.

For example, if we graphed the function g ( t ) = 1 2 sin ( π 2 t ) + 3 2 from Example 11.3.2 using Theorem 5.11, we obtain the following:

t g ( t ) ( t , g ( t ) ) π 2 3 2 ( π 2 , 3 2 ) π 4 2 ( π 4 , 2 ) 0 3 2 ( 0 , 3 2 ) π 4 1 ( π 4 , 1 ) π 2 3 2 ( π 2 , 3 2 )

Figure: One cycle via Theorem .
Figure 11.97 One cycle via Theorem 5.11.
Figure: One cycle via Theorem .
Figure 11.98 One cycle via Theorem 11.6.

Comparing this result with the one obtained in Example 11.3.2 side by side, we see that one cycle ends right where the other starts. The cause of this discrepancy goes back to using the odd property of sine.

Essentially, the odd property of the sine function converts a reflection across the y -axis into a reflection across the t -axis. (Can you see why?) For this reason, whenever the coefficient of t is negative, Theorems 5.11 and 11.6 will produce different results.

In the Exercises, we assume the problems are worked using Theorem 11.6. If you choose to use Theorems 5.11 instead, your answer may look different than what is provided even though both your answer and the textbook's answer represent one cycle of the same function.

In the next example, we use Theorem 11.6 to determine the formula of a sinusoid given the graph of one cycle. Note that in some disciplines, sinusoids are written in terms of sines whereas in others, cosines functions are preferred. To cover all bases, we ask for both.

Note that each of the answers given in Example 11.3.3 is one choice out of many possible answers. For example, when fitting a sine function to the data, we could have chosen to start at ( 1 2 , 1 2 ) taking A = 2 . In this case, the phase shift is 1 2 so ϕ = π 6 for an answer of f ( t ) = 2 sin ( π 3 t π 6 ) + 1 2 . The ultimate check of any solution is to graph the answer and check it matches the given data.

Applications of Sinusoids

In the same way exponential functions can be used to model a wide variety of phenomena in nature,14 the sine and cosine functions can be used to model their fair share of natural behaviors. Our first foray into sinusoidal motion revisits circular motion - in particular Equation 11.3.

A few remarks about Example 11.3.4 are in order. First, note that the amplitude of 64 in our answer corresponds to the radius of the Giant Wheel. This means that passengers on the Giant Wheel never stray more than 64 feet vertically from the center of the Wheel, which makes sense. Second, the phase shift of our answer works out to be π / 2 4 π / 127 = 127 8 = 15.875 . This represents the `time delay' (in seconds) we introduce by starting the motion at the point P as opposed to the point Q . Said differently, passengers which `start' at P take 15.875 seconds to `catch up' to the point Q .

Our next example revisits the daylight data first introduced in Section 1.4, Exercise.

The scenario described in Example 11.3.5 is a typical example of where the circular functions are useful outside the context of angles or circular motion. Indeed, sine and cosine functions are used extensively to model a wide range of periodic phenomena including signal analysis, wave physics, and even quantum mechanics. We close this section discussing limits involving sine and cosine.

Limits involving Sine and Cosine

We've already stated as fact (but not proven) that f ( t ) = sin ( t ) and g ( t ) = cos ( t ) are continuous. Per Definition 6.4, this means that lim t a sin ( t ) = sin ( a ) and lim t a cos ( t ) = cos ( a ) for all real numbers, a . This means, for instance, we can compute lim t π cos ( t ) = cos ( π ) = 1 . Per the discussion following Definition 6.4, so long as we avoid the usual domain pitfalls, we can also compute:

lim t π 2 t cos ( t ) sin ( 3 t ) cos ( 2 t ) = 2 π cos ( π ) sin ( 3 π ) cos ( 2 π ) = 2 π 0 1 = 2 π

In the next example we investigate a few (similar looking) limits of sinusoids.

Exercises

In Exercises -, graph one cycle of the given function. State the period, amplitude, phase shift and vertical shift of the function.

  1. f ( t ) = 3 sin ( t )
  2. g ( t ) = sin ( 3 t )
  3. h ( t ) = 2 cos ( t )
  4. f ( t ) = cos ( t π 2 )
  5. g ( t ) = sin ( t + π 3 )
  6. h ( t ) = sin ( 2 t π )
  7. f ( t ) = 1 3 cos ( 1 2 t + π 3 )
  8. g ( t ) = cos ( 3 t 2 π ) + 4
  9. h ( t ) = sin ( t π 4 ) 2
  10. f ( t ) = 2 3 cos ( π 2 4 t ) + 1
  11. g ( t ) = 3 2 cos ( 2 t + π 3 ) 1 2
  12. h ( t ) = 4 sin ( 2 π t + π )

In Exercises -, a sinusoid is graphed. Find a formula for the sinusoid in the form S ( t ) = A sin ( ω t + ϕ ) + B and C ( t ) = A cos ( ω t + ϕ ) + B . Select ω so ω > 0 . Check your answer by graphing.

  1. Coordinate-plane figure.
    Figure 11.111
  2. Coordinate-plane figure.
    Figure 11.112
  3. Coordinate-plane figure.
    Figure 11.113
  4. Coordinate-plane figure.
    Figure 11.114
  5. Use the graph of S ( t ) = 4 sin ( t ) to graph each of the following functions. State the period of each.

    1. f ( t ) = | 4 sin ( t ) |
    2. g ( t ) = 4 sin ( t )

In Exercises -, use a graphing utility to help you and your classmates discuss the given questions.

  1. Graph f ( t ) = cos ( 3 t ) + sin ( t ) . Is this function periodic? If so, what is the period?
  2. Graph f ( t ) = t sin ( t ) along with y = ± t . What do you notice?
  3. Graph f ( t ) = sin ( t ) t along with y = ± 1 t . What do you notice?

    1. What appears to be lim t f ( t ) ? Interpret your answer graphically.
    2. Use the Squeeze Theorem, Theorem 10.2 from Section 10.1 to prove your claim.

      HINT: Since 1 sin ( t ) 1 , for t > 0 , 1 t sin ( t ) t 1 t

  4. Graph f ( t ) = cos ( 1 t ) .

    1. Investigate lim t 0 f ( t ) . Does lim t 0 f ( t ) exist? Why or why not?
    2. Determine lim t f ( t ) and interpret your answer graphically.
  5. Graph f ( t ) = e 0.1 t ( cos ( 2 t ) + sin ( 2 t ) ) along with y = ± 2 e 0.1 t . What do you notice?

    1. What appears to be lim t f ( t ) ? Interpret your answer graphically.
    2. Use the Squeeze Theorem, Theorem 10.2 from Section 10.1 to prove your claim.

      HINT: Since 1 cos ( 2 t ) 1 and 1 sin ( 2 t ) 1 , 2 cos ( 2 t ) + sin ( 2 t ) 2 .

      Hence, 2 e 0.1 t e 0.1 t ( cos ( 2 t ) + sin ( 2 t ) ) 2 e 0.1 t

  6. Show every constant function f is periodic by explaining why f ( x + 117 ) = f ( x ) for all real numbers x . Then show that f has no period by showing that you cannot find a smallest number p such that f ( x + p ) = f ( x ) for all real numbers x .

    Said differently, show that f ( x + p ) = f ( x ) for all real numbers x for ALL values of p > 0 , so no smallest value exists to satisfy the definition of `period'.

  7. 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 f = 440 Hertz = 440 cycles second . Find a sinusoid which models this note, assuming that the amplitude is 1 and the phase shift is 0 .
  8. The voltage V in an alternating current source has amplitude 220 2 and ordinary frequency f = 60 Hertz. Find a sinusoid which models this voltage. Assume that the phase is 0 .
  9. 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 h of the passenger above the ground in meters t minutes after they board the Eye at ground level.
  10. On page 11.3 in Section 11.2.1, we found the x -coordinate of counter-clockwise motion on a circle of radius r with angular frequency ω to be x = r cos ( ω t ) , where t = 0 corresponds to the point ( r , 0 ) . Suppose we are in the situation of Exercise above. Find a sinsusoid which models the horizontal displacement x of the passenger from the center of the Eye in meters t minutes after they board the Eye. Here we take x ( t ) > 0 to mean the passenger is to the right of the center, while x ( t ) < 0 means the passenger is to the left of the center.
  11. In Exercise in Section 11.1, 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 h of the yo-yo above the ground in inches t seconds after it leaves its lowest point.
  12. Consider the pendulum below. Ignoring air resistance, the angular displacement of the pendulum from the vertical position, θ , can be modeled as a sinusoid.21

    Coordinate-plane figure.
    Figure 11.115

    The amplitude of the sinusoid is the same as the initial angular displacement, θ 0 , of the pendulum and the period of the motion is given by

    T = 2 π g

    where is the length of the pendulum and g is the acceleration due to gravity.

    1. Find a sinusoid which gives the angular displacement θ as a function of time, t . Arrange things so θ ( 0 ) = θ 0 .
    2. In Exercise section 4.1, you found the length of the pendulum needed in Jeff's antique Seth-Thomas clock to ensure the period of the pendulum is 1 2 of a second. Assuming the initial displacement of the pendulum is 15 , find a sinusoid which models the displacement of the pendulum θ as a function of time, t , in seconds.
  13. 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 – 2000.22 For example, t = 3 represents the average of the temperatures recorded for Lake Erie on every March 1 for the years 1971 – 2000.

    Table 11.4
    Month
    Number, t 1 2 3 4 5 6 7 8 9 10 11 12
    Temperature
    ( F), T 36 33 34 38 47 57 67 74 73 67 56 46
    1. Using the techniques discussed in Example 11.3.5, fit a sinusoid to these data.
    2. Graph your model along with the data set to judge the reasonableness of the fit.
    3. Use the model from to predict the average temperature recorded for Lake Erie on April 15 th and September 15 th during the years 1971–2000.23
    4. Compare your results to those obtained using a graphing utility.
  14. The fraction of the moon illuminated at midnight Eastern Standard Time on the t th day of June, 2009 is given in the table below.24

    Table 11.5
    Day of
    June, t 3 6 9 12 15 18 21 24 27 30
    Fraction
    Illuminated, F 0.81 0.98 0.98 0.83 0.57 0.27 0.04 0.03 0.26 0.58
    1. Using the techniques discussed in Example 11.3.5, fit a sinusoid to these data.25
    2. Graph your model along with the data set to judge the reasonableness of the fit.
    3. Use the model from to predict the fraction of the moon illuminated on June 1, 2009. 26
    4. Compare your results to those obtained using a graphing utility.
  15. Use a graphing utility to graph y = 8.36 sin ( 294.81 t 26.53 ) + 12.06 . (This is the regression model produced by desmos in Example 11.3.5.) Zoom in, as needed, until you start to see the wave-like nature of the graph. Use Theorem 11.6 to determine a window which produces exactly one complete cycle of this sinusoid and check your answer graphically.
  16. Use Theorem 5.11 to prove Theorem 11.6.
  17. With the help of your classmates, research Amplitude Modulation and Frequency Modulation .
  18. 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

  1. f ( t ) = 3 sin ( t ) Period: 2 π Amplitude: 3 Phase Shift: 0 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.116
  2. g ( t ) = sin ( 3 t ) Period: 2 π 3 Amplitude: 1 Phase Shift: 0 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.117
  3. h ( t ) = 2 cos ( t ) Period: 2 π Amplitude: 2 Phase Shift: 0 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.118
  4. f ( t ) = cos ( t π 2 ) Period: 2 π Amplitude: 1 Phase Shift: π 2 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.119
  5. g ( t ) = sin ( t + π 3 ) Period: 2 π Amplitude: 1 Phase Shift: π 3 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.120
  6. h ( t ) = sin ( 2 t π ) Period: π Amplitude: 1 Phase Shift: π 2 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.121
  7. f ( t ) = 1 3 cos ( 1 2 t + π 3 ) Period: 4 π Amplitude: 1 3 Phase Shift: 2 π 3 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.122
  8. g ( t ) = cos ( 3 t 2 π ) + 4 Period: 2 π 3 Amplitude: 1 Phase Shift: 2 π 3 Vertical Shift: 4

    Coordinate-plane figure.
    Figure 11.123
  9. h ( t ) = sin ( t π 4 ) 2 Period: 2 π Amplitude: 1 Phase Shift: π 4 (You need to use y = sin ( t + π 4 ) 2 to find this.)27 Vertical Shift: 2

    Coordinate-plane figure.
    Figure 11.124
  10. f ( t ) = 2 3 cos ( π 2 4 t ) + 1 Period: π 2 Amplitude: 2 3 Phase Shift: π 8 (You need to use y = 2 3 cos ( 4 t π 2 ) + 1 to find this.)28 Vertical Shift: 1

    Coordinate-plane figure.
    Figure 11.125
  11. g ( t ) = 3 2 cos ( 2 t + π 3 ) 1 2 Period: π Amplitude: 3 2 Phase Shift: π 6 Vertical Shift: 1 2

    Coordinate-plane figure.
    Figure 11.126
  12. h ( t ) = 4 sin ( 2 π t + π ) Period: 1 Amplitude: 4 Phase Shift: 1 2 (You need to use h ( t ) = 4 sin ( 2 π t π ) to find this.)29 Vertical Shift: 0

    Coordinate-plane figure.
    Figure 11.127
  13. S ( t ) = 4 sin ( t + π 4 ) , C ( t ) = 4 cos ( t π 4 )
  14. S ( t ) = 3 sin ( t ) + 3 , C ( t ) = 3 cos ( t π 2 ) + 3
  15. S ( t ) = 3 sin ( 2 t π 3 ) , C ( t ) = 3 cos ( 2 t 5 π 6 )
  16. S ( t ) = 7 2 sin ( π t ) + 1 2 , C ( t ) = 7 2 cos ( π t π 2 ) + 1 2
    1. y = | 4 sin ( t ) | . Period: π .

      Two cycles are graphed below.

      Coordinate-plane figure.
      Figure 11.128
    2. y = 4 sin ( t ) . Period: 2 π .

      One cycle is graphed below.

      Coordinate-plane figure.
      Figure 11.129
  17. f ( t ) = cos ( 3 t ) + sin ( t ) has period 2 π .
  18. The graph of f ( t ) = t sin ( t ) is bounded by the lines y = ± t ; f has a variable amplitude of t .
  19. The graph of f ( t ) = sin ( t ) t is bounded by the graphs of y = ± 1 t ; f has a variable amplitude of 1 t .

    1. lim t f ( t ) = 0 . We have a horizontal asymptote y = 0 .
    2. Since 1 t sin ( t ) t 1 t , lim t ( 1 t ) = lim t 1 t = 0 , lim t sin ( t ) t = 0 by the Squeeze Theorem.
  20. Graph f ( t ) = cos ( 1 t ) .

    1. lim t 0 f ( t ) does not exist. We have infinitely many oscillations as t 0 .
    2. lim t f ( t ) = 1 since as t , 1 t 0 . Since cosine is continuous, cos ( 1 t ) cos ( 0 ) = 1 .

      We have a horizontal asymptote y = 1 .

  21. The graph of f ( t ) = e 0.1 t ( cos ( 2 t ) + sin ( 2 t ) ) lies between30 the graphs of y = ± 2 e 0.1 t .

    1. lim t f ( t ) = 0 . We have a horizontal asymptote y = 0 .
    2. Since 2 e 0.1 t e 0.1 t ( cos ( 2 t ) + sin ( 2 t ) ) 2 e 0.1 t , lim t ( 2 e 0.1 t ) = lim t 2 e 0.1 t = 0 , the Squeeze Theorem gives lim t e 0.1 t ( cos ( 2 t ) + sin ( 2 t ) ) = 0 .
  22. S ( t ) = sin ( 880 π t )
  23. V ( t ) = 220 2 sin ( 120 π t )
  24. h ( t ) = 67.5 sin ( π 15 t π 2 ) + 67.5
  25. x ( t ) = 67.5 cos ( π 15 t π 2 ) = 67.5 sin ( π 15 t )
  26. h ( t ) = 28 sin ( 2 π 3 t π 2 ) + 30
    1. θ ( t ) = θ 0 sin ( g l t + π 2 )
    2. θ ( t ) = π 12 sin ( 4 π t + π 2 )
    1. T ( t ) = 20.5 sin ( π 6 t π ) + 53.5
    2. The model and data are graphed below. The sinusoid is shifted to the right of our data.

      Image: LakeErieTempReg
      Figure 11.130
    3. The average temperature on April 15 th is approximately T ( 4.5 ) 39.00 F and the average temperature on September 15 th is approximately T ( 9.5 ) 73.38 F.
    4. Desmos gives: T ( t ) = 20.8374 sin ( 0.5251 t 0.2812 ) + 52.3659 .

      Image: LakeErieRegDesmos
      Figure 11.131

      This model predicts the average temperature for April 15 th to be approximately 42.42 F and the average temperature on September 15 th to be approximately 70.05 F. This model appears to be more accurate.

    1. Based on the shape of the data, we either choose A < 0 or we find the second value of t which closely approximates the `baseline' value, F = 0.505 . We choose the latter to obtain F ( t ) = 0.475 sin ( π 15 t 2 π ) + 0.505 = 0.475 sin ( π 15 t ) + 0.505
    2. Our function and the data set are graphed below. It's a pretty good fit.

      Image: MoonIlluminationReg
      Figure 11.132
    3. The fraction of the moon illuminated on June 1st, 2009 is approximately F ( 1 ) 0.60
    4. Using desmos,31 we get F ( t ) = 0.49 sin ( π 15 t 6.29 ) + 0.535 .

      Image: MoonIlluminatonDesmos
      Figure 11.133

      This model predicts that the fraction of the moon illuminated on June 1st, 2009 is approximately 0.63 . This appears to be a better fit to the data than our first model.

Adapted from Precalculus, Preliminary 4th Edition (integrated calculus), 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.

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