8

The exponential function

8.1 Introduction

In Example 2.11, we looked at an acoustical absorption problem. We found that after a single note on a trombone had been played, the sound intensity decayed according to the expression I = 10−11t. This is a dying exponential function. Many other physical situations involve decay or growth in an exponential fashion; for instance, population growth or the decay of charge on a discharging capacitor. The functions y = at, where a can be any positive number, are called exponential functions. In this chapter, we shall look at how they describe this particular type of growth or decay, when the growth or decay is proportional to the current size of the ‘population’, y. This situation can be described by a differential equation of the form dy/dt = ky. The special case where k = 1, giving the equation dy/dt = y, leads us to define the number e ≈ 2.7182818 and the function y = et, which is called the exponential function. The inverse function is y = loge(t), which is also refered to as y = In(t) and called the natural or N apierian logarithm.

The function y = et is neither even nor odd; however, it is possible to split any real function into an even part and an odd part and in this case we find that this gives the hyperbolic functions. These hyperbolic functions have properties that are surprisingly similar to the properties of the trigonometric functions and hence have similar names, cosh(t), sinh(t) (the hyperbolic sine and hyperbolic cosine) from which we can define also tanh(t), the hyperbolic tangent. We also look at differentiation and integration problems involving the exponential and hyperbolic functions.

8.2 Exponential growth and decay

Supposing, following some deed of heroism, the police offered you the choice of the following rewards:

(a) Tomorrow you receive 1 c and the following day 2 c and after that 4 c, then 8 c and each day the amount doubles for the next month.

(b) Tomorrow you receive €2, the following day €4 and the day after €6, then €8 so that each day you receive €2 more than the day before. Again you receive payments on every day for the next month.

If, although not motivated by personal greed, you wish to receive the highest possible reward (in order, presumably, to donate the amount to charity), which reward should you accept? Option (b) superficially appears to be the best because at least it starts off with enough money to buy a small sandwich. However, a closer look reveals the that if you choose option (a), on the last day (assuming there are 31 days in the month) you receive in excess of € 10 000 000 with the total reward exceeding €20 million. However, option (b) only reaps €62 on the final day with a total award of only €992.

Both options are examples of growth. Option (b) gives a constant growth rate of €2. If yn is the amount received on day n, the way that this grows could be expressed by yn + 1 = yn + 2. This is expressing the fact that the amount received on day n + 1 is €2 more than the amount received on day n. This also means that the change each day in the amount received is 2, which can be expressed as Δyn = 2, where Δyn = yn+lyn and represents the change in y from day n to day n + 1.

Option (a) is an example of exponential growth (or geometric growth). The amount received each day is proportional to the amount received the day before, in this case twice as much. yn can be expressed by yn + 1 = 2 yn. The change in y is equal to the value of y itself, Δyn = yn.

Because of the nature of exponential growth it is unlikely that you would be given such an attractive award as option (a) represents. However, exponential growth is not beyond the reach of the everyday person as savings accounts offer this opportunity. Unfortunately, the amount you receive does not increase as quickly as doubling each day but it is based on how much you have already in the bank; hence, it is exponential. Supposing you opened an account that paid an annual interest of 6% and the annual rate of inflation was 3%, then the real rate of growth is approximately 3% per annum. If yn is the value of the amount you have in the bank after n years then yn+l = 1.03yn. We can also express this by saying that the interest received each year, that is, the change in yn, Δyn, is 3% of yn, that is, Δyn = 0.03yn, where Δyn = yn+lyn. If the rate of interest remains constant then if you deposit €1 tomorrow then your descendents, in only 500 years time, will receive an amount worth over €2.5 million in real terms.

The models of growth that we have discussed so far give examples of recurrence relations, also called difference equations. Their solutions are not difficult to find. For instance, if yn + 1 = 2 yn and we know that on day 1 we received 1 c, that is, y1 = 0.01 then we can substitute n = 1,2,3, … (as we did in Section 1.4) to find values of the function giving

0.01,0.02,0.04,0.08,0.016,0.032,

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Clearly, there is a power of 2 involved in the expression for yn, so we can guess that y = 0.01 (2n1). By checking a few values of n we can confirm that this is indeed the amount received each day. When we deposit €1 in the bank at a real rate of growth of 3% we get the recurrence relation yn + 1 = 1.03 yn, where yn is the current day value of the amount in the savings account after n years. Substituting a few values beginning with y0 = 1 (the amount we initially deposit) we then get 1,1.03,1.06,1.09,1.13,1.16,1.19, … (to the nearest cent). Each time we multiply the amount by 1.03, there must be a power of 1.03 in the solution for y. We can guess the solution as yn = (1.03)n. By checking a few values of n we can confirm that this is, in fact, the amount in the bank after n years.

The models we have looked at so far are discrete models. In the case of the money in the bank the increase occurs at the end of each year. However, if we consider population growth, for instance, then it is not possible to say that the population grows at the end of a certain period, the growth could happen at any moment of time. In this case, providing the population is large enough, it is easier to model the situation continuously, using a differential equation. Such models take the form of dy/dt = ky. dy/dt is the rate of growth, if k is positive, or the rate of decay, if k is negative. The equation states that the rate of growth or decay of a population of size y is proportional to the size of the population.

Example 8.1

A malfunctioning fridge maintains a temperature of 6°C which allows a population of bacteria to reproduce such that, on average, each bacteria divides every 20 min. Assuming no bacteria die in the time under consideration find a differential equation to describe the population growth.

Solution If the population at time t is given by p then the rate of change of the population is dp/dt. The increase in the population is such that it approximately doubles every 20 min, that is, it increases by p in 20 × 60 s. That gives a rate of increase as p/(20 × 60) per second. Hence, the differential equation describing the population is

dpdt=p1200.

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Example 8.2

A capacitor, in an RC circuit, has been charged to a charge of Q0. The voltage source has been removed and the circuit closed as in Figure 8.1. Find a differential equation that describes the rate of discharge of the capacitor if C = 0.001 μF and R = 10MΩ.

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Figure 8.1 A closed RC circuit.

Solution The voltage across a capacitor is given by Q/C where C is the capacitance and Q is the charge on the capacitor. The voltage across the resistor is given by Ohm's Law as IR. From Kirchoff's voltage law, the sum of the voltage drops in the circuit must be 0; therefore, as the circuit is closed, we get voltage across the resistor + voltage across the capacitor = 0:

IR+QC=0.

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By definition, the current is the rate of change of charge with respect to time, that is I = d Q/dt giving the differential equation

RdQdt+QC=0.

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We can rearrange this equation as

RdQdt=QCdQdt=QRC.

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We can see that this is an equation for exponential decay. The rate of change of the charge on the capacitor is proportional to the remaining charge at any point in time with a constant of proportionality given by 1/RC. In this case as R = 10MΩ and C = 0.001 μF, we get

dQdt=100Q.

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Example 8.3

Radioactivity is the emission of α- or, β-particles and γ-rays due to the disintegration of the nuclei of atoms. The rate of disintegration is proportional to the number of atoms at any point in time and the constant of proportionality is called the radioactivity decay constant. The radioactive decay constant for Radium B is approximately 4.3 × 10−4 s−1. Give a differential equation that describes the decay of the number of particles N in a piece of Radium B.

Solution If the number of particles at time t is N, then the rate of change is dN/dt. The decay is proportional to the number of atoms, and we are given that the constant of proportionality is 4.3 × 10−4 s−1 so that we have

dNdt=4.3×104N

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as the equation which describes the decay.

Example 8.4

An object is heated so that its temperature is 400 K and the temperature of its surroundings is 300 K, and then it is left to cool. Newton's law of cooling states that the rate of heat loss is proportional to the excess temperature over the surroundings. Furthermore, if m is the mass of the object and c is its specific heat capacity then the rate of change of heat is proportional to the rate of fall of temperature of the body, and is given by

dQdt=mcdϕdt

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where Q is the heat in the body and ϕ is its temperature. Find a differential equation for the temperature that describes the way the body cools.

Solution Newton's law of cooling gives

dQdt=A(ϕϕs)

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where A is some constant of proportionality, Q is the heat in the body, ϕ is its temperature, and ϕs is the temperature of its surroundings. As we also know that

dQdt=mcdϕdt

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this can be substituted in our first equation giving:

mcdϕdt=A(ϕϕs)dϕdt=Amc(ϕϕs)

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A/(mc) can be replaced by a constant k, giving

dϕdt=k(ϕϕs).

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In this case, the temperature of the surroundings is known to be 300 K, so the equation describing the rate of change of temperature is

dϕdt=k(ϕ300).

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We have established that there are a number of important physical situations that can be described by the equation dy/dt = ky. The rate of change of y is proportional to its value. We would like to solve this equation, that is, find y explicitly as a function of t. In Chapter 7, we solved simple differential equations such as dy / dt = 3t by integrating both sides with respect to t, for example,

dydt=3ty=3t?dty=3t22+C.

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However, we cannot solve the equation dy/dt = ky in this way because the right-hand side is a function of y not of t. If we integrate both sides with respect to t we get

dydt=kyy=ky?dt.

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Although this is true we are no nearer solving for y as we need to know y as a function of t in order to find ∫ ky dt.

When we solved equations in Chapter 3 of the Background Mathematics notes available on the companion website for this book, we said that one method was to guess a solution and substitute that value for the unknown into the equation to see if it gave a true statement. This would be a very long method to use unless we are able to make an informed guess. We can use this method with this differential equation as we know from our experience with problems involving discrete growth that a solution should involve an exponential function of the form y = at. The main problem is to find the value of a, which will go with any particular equation. To do this we begin by looking for an exponential function that would solve the equation d y / dt = y, that is, we want to find the function whose derivative is equal to itself.

8.3 The exponential function y = et

Figures 8.2(a) and 8.3(a) give graphs of y = 2t and y = 3t, which are two exponential functions. We can sketch their derivative functions by drawing tangents to the graph and measuring the gradient of the tangent at various different points. The derivative functions are pictured in Figure 8.2(b), dy/dt where y = 2t, and in Figure 8.3(b), dy/dt where y = 3t.

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Figure 8.2 (a) The graph of y = 2t with some tangents marked. (b) The graph of the derivative (the gradient of the tangent at any point on y = 2t plotted against t).
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Figure 8.3 (a) The graph of y = 3t with some tangents marked. (b) The graph of the derivative (the gradient of the tangent at any point on y = 3t plotted against t).

We can see that for these exponential functions the derivative has the same shape as the original function but has been scaled in the y-direction, that is, multiplied by a constant, k, so that dy/dt = ky as we expected:

ddt(2t)=(C)(2t)????and????ddt(3t)=(D)(3t)

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where C and D are constants. We can see from the graphs that C < 1 and D > 1. Thus, the derivative of 2t gives a squashed version of the original graph and the derivative of 3tgives a stretched version of the original graph.

It would seem reasonable that there would be a number somewhere between 2 and 3 that we can call e, which has the property that the derivative of et is exactly the same as the original graph. That is,

ddt(et)=et.

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Finding the value of e

There are various methods for finding the value of e and a graphical investigation into finding e to one decimal place is given in the projects and investigations available on the companion website for this book. An alternative, numerical, method is to look at the gradient of the chord for the function y = et at t = 0:

δyδt=f(t+δt)δtδt=et+δtetδt

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At t = 0 all functions y = at have value 1 so that the gradient of the chord at t = 0 is

δyδt=eδt1δt

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We defined e as the number for which ddt(et)si31_e= etso that at the point t = 0 the gradient of the tangent is given by dy/dt = 1. For small δt the gradient of the tangent is approximately equal to the gradient of the chord

dydtδyδt

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and therefore

1eδt1δt

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Rearranging this equation gives e ≈ (1+δt)1/δtsi34_e for small δt. Replacing δt by l/n, with n large, gives

e(1+1n)n

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for large n.

Let n tend to infinity and this gives the well-known limit

e=limn(1+1n)n.

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We can use the expression

e(1+1n)n

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for large n to calculate e on a calculator. This is done in Table 8.1 to five decimal places.

Table 8.1

Estimating e using (1 ± 1/ n)n gives e = 2.71828 to five decimal places

n(1 + (1/n))n to five decimal places
10002.71692
10 0002.71815
100 0002.71827
1 000 0002.71828
10 000 0002.71828

We have shown that e = 2.71828 to five decimal places. e is an irrational number which means that it cannot be written exactly as a fraction (or as a decimal). The function et is often referred to as exp(t). etand its derivative are shown in Figure 8.4.

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Figure 8.4 (a) The graph of y = ef with some tangents marked. (b) The graph of the derivative (the gradient of the tangent at any point on et plotted against t).

By definition of the logarithm (as given in Chapter 4 of the Background Mathematics notes available on the companion website for this book), we know that the inverse function to et is loge (t) (log, base e, of t). This is often represented by the short hand of In (t) and called the natural or Napierian logarithm.

We are now able to solve the differential equation dy/dt = y as we know that one solution is y = et because the derivative of y = et is et. When we discussed differential equations in Chapter 7, we noticed that there was an arbitrary constant that was involved in the solution of a differential equation. In this case the constant represents the initial size of the population, or the initial charge or the initial number of atoms or the initial temperature. The general solution to dy/dt = y is y = y0et where y0 is the value of y at time t = 0. We can show that this is, in fact, the general solution by substituting into the differential equation.

Example 8.5

(a) Show that any function of the form y = y0et, where y0 is a constant, is a solution to the equation

dydt=y

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(b) Show that in the function y = yoet, y = y0 when t = 0.

Solution

(a)  To show that y = y0etare solutions, we first differentiate

ddt(y0et)=y0et

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(as y0 is a constant and d (et)/dt = et).

Substitute for d y/dt and for y into the differential equation and we get y0et= y0et, which is a true statement for all t. Hence the solutions to dy/dt = y are y = y0et.

(b) Substitute t = 0 in the function y = y0et and we get y = y0eo. As any number raised to the power of 0 is 1, we have y = y0. Hence y0 is the value of y at t = 0.

Using the function of a function rule we can find the derivative of ekt, where k is some constant, and show that this function can be used to solve differential equations of the form dy/dt = ky.

The derivative of ekt

To find the derivative of y = ektwhere k is a constant substitute u = kt so that y = eu

dudt=k????and????dydu=eu

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therefore, using the chain rule,

dydt=dudtdydu=k?eu=k?ekt

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(resubstituting u = kt). Therefore,

ddt(ekt)=k?ekt

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Notice that if we substitute y for ekt into d(ekt)/dt = kekt we get dy/dt = ky, which was the differential equation we set out to solve for our growth or decay problems.

This tells us that one solution to the equation dy/dt = ky is y = ekt. The general solution must involve a constant, so we try y = y0ektwhere y0 is the initial size of the population, or initial temperature, etc.

Example 8.6

(a) Show that any function of the form y = y0ekt, where y0 is a constant, is a solution to the equation

dydt=ky

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(b) Show that in the function y = y0ekt, y = y0 when t = 0.

Solution

(a) To show that y = y0ekt are solutions we first differentiate:

ddt(y0ekt)=y0kekt

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as y0 is a constant and d(ekt)/dt = kekt. Substitute for dy/dt and for y into the differential equation and we get

y0kekt= ky0ektwhich is a true statement for all values of t. Hence the solutions to dy /dt = ky are y = y0ekt.

(b) Substitute t = 0 in the function y = y0etand we get y = y0e0. As any number raised to the power of 0 is 1, we have y = y0. Hence, y0 is the value of y at t = 0.

Example 8.7

Solve the differential equation given in Example 8.2, describing the discharge of a capacitor in a closed RC circuit with R = 10MΩ and C = 0.001 μF:

dQdt=100Q

si45_e

and find a particular solution given that at t = 0 the voltage drop against the capacitor was 1000 V.

Solution We have discovered that the solution to a differential equation of the form dy/dt = kt is given by y = y0ektwhere y0 is the initial value of y.

Comparing dy/dt = ky with dQ/dt = −100Q, and replacing y by Q and k by −100, we get the solution

Q=Q0e100t

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To find the value of Q0 we need to find the value of Q when t = 0. We are told that the initial value of the voltage across the capacitor was 1000 V and we know that the voltage drop across a capacitor is Q/C. Therefore, we have

Q00.001×106=1000Q0=1000×0.001×106Q0=106C.

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Therefore, the equation that describes the charge as the capacitor discharges is Q = 10–6e−100t C at time t s.

The derivative of at

The derivative of y = 2t can now be found by observing that 2 = e (In(2)). Therefore, y = 2t = (eIn(2))t = eIn(2)t. This is of the form ektwith

k = In(2). As

ddt(ekt)=kekt

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then

ddt(eln(2)t)=ln(2)etln(2)

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Using again the fact that eIn(2)t = (eIn(2))t = 2t we get

ddt(2t)=ddt(eln(2)t)=ln(2)eln(2)t=ln(2)2t

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that is

ddt(2t)=ln(2)2t

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Compare this result to that which we found by sketching the derivative of y = 2t in Figure 8.2(b). We said that the derivative graph was a squashed version of the original graph. This result tells us that the scaling factor is In(2) ≈ 0.693, which confirms our observation that the scaling factor, C < 1.

Using the same argument for any exponential function y = at we find that dy /dt = In(a)at.

In finding these results we have used the fact that an exponential function, to whatever base, a, can be written as ektwhere k = ln(a).

The derivative of y = ln(X)

y = ln(x) is the inverse function of f(x) = ex, and therefore we can find the derivative in a manner similar to that used to find the derivatives of the inverse trigonometric functions in Chapter 5.

y = ln(x) where x > 0

 ey=eln(x)(take?the?exponentiol?of?both?sides)

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 ey=x(as?exp?is?the?inverse?function?to,?eln(x)=x)

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We wish to differentiate both sides with respect to x but the left-hand side is a function of y, so we use the chain rule, setting w = ey, thus, equation ey= x becomes w = x and dw/dy = ey.

Differentiating both sides of w = x with respect to x gives dw/dx = 1, where

dwdx=dwdydydx

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from the chain rule. So

eydydx=1

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and resubstituting x = eywe get

xdydx=1dydx=1x

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(we can divide by x as x > 0). Hence,

ddx(lnx)=1x.

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The derivative of the log, of whatever the base, can be found using the change of base rule for logarithms as given in Chapter 4 of the Background Mathematics notes available on the companion website for this book. We can write

loga(x)=ln(x)ln(a).

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Therefore

ddx(loga(x))=ddx(ln(x)ln(a))=1ln(a)x.

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8.4 The hyperbolic functions

Any function defined for both positive and negative values of x can be written as the sum of an even and odd function. That is, for any function y = f(x) we can write

f(x)=fe(x)+fo(x)

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where

fe(x)=f(x)+f(x)2

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and

fo(x)=f(x)f(x)2.

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The even and odd parts of the function ex are given the names of hyperbolic cosine and hyperbolic sine. The names of the functions are usually shortened to cosh(x) (read as ‘cosh of x’) and sinh(x) (read as ‘shine of x’).

ex = cosh(x) + sinh (x)

and

cosh(x)=ex+ex2,????sinh(x)=exex2.

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They are called the hyperbolic sine and cosine because they bear the same sort of relationship to the hyperbola as the sine and cosine do to the circle. When we introduced the trigonometric functions in Chapter 5 we used a rotating rod of length r. The horizontal and vertical positions of the tip of the rod as it travels around the circle defines the cosine and sine function, respectively. A point (x, y) on the circle can be defined using x = r cos (α), y = r sin (α). These are called parametric equations for the circle and α is the parameter. If the parameter is eliminated then we get the equation of the circle

x2r2+y2r2=1

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(shown in Figure 8.4(a)). Any point on a hyperbola can similarly be defined in terms of a parameter, α, and thus we get x = a cosh(α) and y = b sinh(α).

If the parameter is eliminated from the equations we get the equation for the hyperbola as

x2a2y2b2=1

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Figure 8.5(b) shows the graph of the hyperbola.

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Figure 8.5 (a) x = r cos(α), y = r sin(α) defines a point on the circle x2/ r2 + y2/r2 = 1. (b) x = a cosh(a) and y = b sinh(a) defines a point on the hyperbola x2/ a2 − y2/b2= 1.

The function y = tanh (x) is defined, similarly to the tan (x), as

tanh(x)=sinh(x)cosh(x)

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and the reciprocal of these three main functions may be defined as

cosech(x)=1sinh(x)?????(the?hyperbolic?cosecant)sech(x)=1cosh(x)?????(the?hyperbolic?secant)coth(x)=1tanh(x)?????(the?hyperbolic?secant)

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The graphs of cosh(x), sinh (x), and tanh (x) are shown in Figure 8.6.

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Figure 8.6 (a) The graph of y = cosh(x). (b) The graph of y = sinh(x). (c) The graph of y = tanh(x).

Hyperbolic identities

The hyperbolic identities are similar to those for trigonometric functions. A list of the more important ones is given in Table 8.2.

Table 8.2

Summary of important hyperbolic identities

cosh(x) = (ex + e-x)/2

sinh(x) = (ex — e-x)/2

tanh(x) = sinh(x)/ cosh(x) = (ex — e-x)/(ex + e-x)

cosh(x) + sinh(x) = ex

cosh(x) — sinh(x) = e-x

cosh(A ± B) = cosh(A) cosh(B) ± sinh(A) sinh(B)

sinh(A ± B) = sinh(A) cosh(B) ± cosh(A) sinh(B)

tanh(A ± B) = (tanh(A) ± tanh(B))/(1 ± tanh(A) tanh(B))

Example 8.8

Show that cosh(A + B) = cosh(A) cosh(B) + sinh(A) sinh(B).

Solution Substitute

cosh(A)=eA+eA2sinh(A)=eAeA2cosh(B)=eB+eB2sinh(B)=eB+eB2

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into the right-hand side of the expression

cosh(A) cosh(B) + sinh(A) sinh(B)

=(eA+eA)2(eB+eB)2(eAeA)2(eBeB)2.

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Multiplying out the brackets gives

14(eA+B+eAB+eA+B+e(A+B)+(eA+BeABeA+B+e(A+B))).

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Simplifying then gives

14(2eA+B+2e(A+B))=12(eA+B+e(A+B))

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which is the definition of cosh(A + B).

We have shown that the right-hand side of the expression is equal to the left-hand side, and therefore

cosh(A + B) = cosh(A) cosh(B) + sinh(A) sinh(B).

Inverse hyperbolic functions

The graphs of the inverse hyperbolic functions sinh −1 (x), cosh −1 (x), and tanh−1(x) are given in Figure 8.7.

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Figure 8.7 (a) The graph of y = cosh-1 (x), x1. (b) The graph of y = sinh-1(x). (c) The graph of tanh −1 (x), −1 ≤x≤ 1.

As cosh(x) is not a one-to-one function, it has no true inverse. However, if we limit x to zero or positive values only then cosh −1(x) is indeed the inverse function and cosh −1 (cosh(x)) = x. The sinh −1 (x) function is defined for all values of x, but cosh −1 (x) is defined for x ≥ 1 only and tanh−1(x) is defined for −1 < x < 1.

As the hyperbolic functions are defined in terms of the exponential function we might suspect that the inverse would be defined in terms of the logarithm. The logarithmic equivalences are

sinh1(x)=ln(x+x2+1)????for?all?xcosh1(x)=ln(x+x21)????x1tanh1(x)=12ln(1+x1x)????1<x<1

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Example 8.9

Show that sinh1(x)=ln(x+x2+1)si73_e using the definitions

y=sinh1(x)????????sinh(y)=x

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and

sinh(y)=eyey2

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Solution

y=sinh1(x)????????sinh(y)=x

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Using

sinh(y)=eyey2

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to substitute on the left-hand side, we get

eyey2=x??????????eyey=2x????(multiplying?by?2)??????????e2y1=2xey????(multiplying?by?ey?and?using?properties?of???????????????????????????????????????????????????????power?to?write?eyey=e2y)??????????e2y2xey1=0?????(subtracting?2xey?from?both?sides)

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This is now a quadratic equation in ey

(ey)2-2xey-1=0.

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Using the formula for solving a quadratic equation, where a = 1, b = −2x, c = −1 gives

ey=2x±4x2+42.

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Dividing the top and bottom lines by 2 gives

ey=x±x2+1.

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Taking In of both sides and using In (ey) = y (In is the inverse function of exp) we get

y=ln(x±x2+1).

si82_e

We discount the negative sign inside the logarithm, as this would lead to a negative values, for which the logarithm is not defined. So finally

sinh1(x)=ln(x+x2+1).

si83_e

Calculations

The hyperbolic and inverse hyperbolic functions are often not given in a calculator. To calculate a hyperbolic function then use the definitions

cosh(x)=ex+ex2sinh(x)=exex2tanh(x)=sinh(x)cosh(x)=exexex+ex

si84_e

To calculate the inverse hyperbolic functions use their logarithmic equivalences.

Example 8.10

Calculate the following, and where possible use the appropriate inverse function to check your result:

(a) sinh(1.444)

(b) tanh−l (−0.5)

(c) cosh(−1)

(d) cosh−l(3)

(e) cosh−l(0)

Solution From the definition

sinh(1.444)=e1.444e1.44422.0008152=2.001?to?4?s.f.

si85_e

Check: Use the inverse function of the sinh, that is, find sinh−1 (2.0008152). From the logarithmic equivalence

(a) 

sinh1(2.0008152)=ln(2.0008152)+(2.0008152)2+1=1.444

si86_e


As this is the original number input into the sinh function we have found sinh−1 (sinh(1.444)) = 1.444, which confirms the accuracy of our calculation.

(b) To calculate tanh −1 (−0.5) use the logarithmic equivalence giving

tanh1(0.5)=12ln(1+(0.5)1(0.5))=12ln(13)0.5493061=0.5493?to?4s.f.

si87_e


Check: Use the inverse function of tanh −1, that is, find

tanh(0.5493061)=e0.5493061e0.5493061e0.5493061+e0.54930610.5

si88_e

This is the original number input to the tanh −1 function and this confirms the accuracy of our calculation.

(c) 

cosh(1)=e1+e121.5430806=1.543?to?4?s.f.

si89_e


Check: Use the inverse function of cosh, that is, cosh −1 :

cosh1(1.5430806)=ln(1.5430806+1.5430806211)

si90_e

This is not the number that we first started with, which was −1. However, we know that cosh−1(x) is only a true inverse of cosh(x) if the domain of cosh(x) is limited to positive values and zero. We did not expect the inverse to ‘work’ in this case where we started with a negative value.

(d) To calculate cosh−1 (3), use

cosh1(3)=ln(3+321)=ln(3+8)1.7627472=1.763?to?4?s.f.

si91_e


Check: The inverse function to cosh −1 is cosh, so we find

cosh(1.7627472)=e1.7627472+e1.762747223

si92_e

This confirms the accuracy of our calculation as we have shown cosh(cosh −1 (3)) = 3.

(e) Using the logarithmic definition of cosh −1 leads to an attempt to take the square root of a negative number. This confirms that cosh −1 (0) is not defined in r.

Derivatives

Derivatives of the hyperbolic functions can be found by reverting to their definitions in terms of the exponential function.

Example 8.11

Show thatddx(sinh(x))=cosh(x)si93_e

Solution As

sinh(x)=exex2

si94_e

then

ddx(sinh(x))=ddx(exex2)=ex(1)ex2=ex+ex2=cosh(x).

si95_e

Therefore

ddx(sinh(x))=cosh(x).

si96_e

In a way similar to Example 8.6, we can find

ddx(cosh(x))=sinh(x).

si97_e

and

ddx(tanh(x))=sech2(x).

si98_e

The derivatives of the inverse hyperbolic functions can be found using the same method as given for the derivatives of the inverse trigonometric functions (in Chapter 5) and give

ddx(sinh(x))=11+x2ddx(cosh1(x))=1x21ddx(tanh1(x))=11x2.

si99_e

8.5 More differentiation and integration

We are now able to add the functions y = ex and y = ln(x), y = ax, y = log, (x), and the hyperbolic and inverse hyperbolic functions to the list of functions (Table 8.3). By swapping the columns and rearranging some of the terms in a more convenient fashion, and adding the constant of integration, we get a list of integrals (Table 8.4).

Table 8.3

The derivatives of some simple functions

f (x)f'(x)
C0
xnnxn−1
cos(x)− sin(x)
sin(x)cos(x)
tan(x)sec2(x)
sin−1(x)1/1x2si1_e
cos−1(x)1/1x2si2_e
tan−1(x)1/(1+x2)si3_e
exex
ax(ln(a)ax)
ln(x)1/x
loga(x)1/(ln(a)x)
cosh(x)sinh(x)
sinh(x)cosh(x)
tanh(x)sech2(x)
sinh−1(x)1/(1+x2)si4_e
cosh−1(x)1/x21si5_e
tanh−1(x)1/(1x2)si6_e

Table 8.4

Some standard integrals

f(x)f(x)dxf(x)
1x + C
xn (n ± —1)(xn+1)/(n + 1) + C
sin(x)− cos(x) + C
cos(x)sin(x) + C
sec2 (x)tan(x) + C
1/1x2si7_esin −1 (X) + C
1/1x2si8_ecos−1 (X) + C
1/(1 + x2)tan−1(x) + C
exex + C
axax/ In(a)) + C
1/xIn(x) + C
cosh(x)sinh(x) + C
sinh(x)cosh(x) + C
sech2(x)tanh(x) + C
1/1+x2si9_esinh−1(x) + C
1/x21si10_ecosh−1 (x) + C
1/(1x2)si11_etanh−1 (x) + C

The methods of differentiation and integration of combined functions, discussed in Chapters 12 and 13, can equally be applied to exponential and logarithmic functions.

Example 8.12

Find derivatives of the following:

(a)?y=e2t2+3????(b)?x=etcos(3t)????(c)y=sinh(x)x??x0.

si100_e

Solution

(a) To differentiate y = e−2t2+3using the function of a function rule think of this as y = e()(‘y = e to the bracket’).

Now differentiate y with respect to () and multiply by the derivative of () with respect to t. That is, use

dydt=dyd()d()dt

si101_e


where () represents the expression in the bracket

dydt=e2t2+3ddt(2t2+3)=e2t2+3(4t)=4te2t2+3.

si102_e

(b) To find the derivative of x = e−t cos (3t), write x = uv so that u = e−t and v = cos(3t); then,

dudt=et?????dυdt=3sin(3t)

si103_e


where we have used the chain rule to find both these derivatives. Now use the product rule

dxdt=udυdt+υdudt

si104_e


dxdt=etcos(3t)et3sin(3t)=etcos(3t)3etsin(3t).

si105_e

(c) To find the derivative of

y=sinh(x)x

si106_e


we use the formula for the quotient of two functions where y = u/v, u = sinh (x), v = x, and

dydx=ν(du/dx)u(dν/dx)ν2

si107_e

Hence, we get

ddx(sinh(x)x)=xcosh(x)sinh(x)1x2=x?cosh(x)sinh(x)x2.

si108_e

Example 8.13

Find the following integrals:

(a) 

xex2+2dx

si109_e


(b) 

sinh(t)?cosh2(t)?dt

si110_e


(c) 

xex?dx

si111_e


(d) 

21ln(x)dx

si112_e


(e) 

(3x2+2xx3+x2+2)dx

si113_e


Solution

(a) xex2+2dxsi114_e. Here, we have a function of a function e(x2+2) multiplied by a term that is something like the derivative of the term in the bracket.
Try a substitution, u = x2+ 2

dudx=2xdx=du2x

si115_e


then

xex2+2dx=xeudu2x=12eudu=12eu+C

si116_e

resubstituting u = x2 + 2 gives

xex2+2dx=12ex2+2+C

si117_e

(b) To find ∫ sinh(t) cosh2(t) dt we remember that cosh2(t) = (cosh(t))2, so

sinh(t)cosh2(t)dt=sinh(t)(cosh(t))2dt

si118_e


sinh(t) is the derivative of the function in the bracket, cosh(t), so a substitution, u = cosh(t), should work:

u=cosh(t)dudt=sinh(t)dt=dusinh(t)

si119_e

sinh(t)cosh2(t)dt=sinh(t)u2dusinh(t)=u2du=u3+C

si120_e

resubstituting u = cosh(t) gives

sinh(t)?cosh2(t)dt=cosh3(t)3+C

si121_e

(c) xexdx. Use integration by parts

u?dν=uννdu

si122_e


and choose u = x and dv = exdx giving

dudx=1andνexdx=ex

si123_e

Then

xexdx=xexexdx=xexex+C

si124_e

(d) 21ln(x)dxsi125_e. Write ln(x) = 1 ln (x) and use integration by parts with

u=ln(x)anddν=1?dx

si126_e


du=dxxν=1?dx=x

si127_e

21ln(x)dx=[x?ln(x)]2121x12dx=2ln(2)1ln(1)211dx=2ln(2)[x]21=2ln(2)(21)0.3863?to?4s.f.

si128_e

(e) We rewrite

3x2+2xx3+x2+2dx=(3x2+2x)(x3+x2+2)1dx.

si129_e


Notice that there are two brackets. To decide what to substitute we notice that

ddx(x3+x2+2)=3x2+2x.

si130_e

so it should work to substitute u=x3+x2+2si131_e

ddx=3x2+2xdx=dx3x2+2x.

si132_e

The integral becomes

(3x2+2x)u1du3x2+2xduu=ln(u)+C.

si133_e

Resubstituting for u gives

3x2+2xx3+x2+2dx=ln(x3+x2+2)+C.

si134_e

Integration using partial fractions

The fact that expressions like 1/ (3x + 2) can be integrated using a substitution which results in an integral of the form:

1udu=ln(u)+C

si135_e

is exploited when we perform the integration of fractional expressions like

2x1(x3)(x+1).

si136_e

We first rewrite the function to be integrated using partial fractions.

Example 8.14

Find

(a) 2x1(x3)(x+1)dxsi137_e

(b) x2(x+2)(2x1)2dx.si138_e

Solution

(a) 2x1(x3)(x+1)dx.si139_e

Rewrite the expression using partial fractions. We need to find A and B so that:

2x1(x3)(x+1)=A(x3)+Bx+1

si140_e

where this should be true for all values of x. Multiplying by (x3)(x + 1) gives 2x – 1 = A(x + 1) + B(x – 3). This is an identity, so we can substitute values for x: substitute x = −1 giving – 3 = B( −4) ⇔ B = 3/4 substitute x = 3 giving 5 = A(4)A = 5/4

Hence,

2x1(x3)(x+1)=54(x3)+34(x+1).

si141_e

So

2x1(x3)(x+1)dx=54(x3)+34(x+1)dx.

si142_e

As (x – 3) and (x + 1) are linear functions of x, we can find each part of this integral using substitutions of u = x – 3 and u = x + 1:

54(x3)+34(x+1)dx=54ln(x3)+34ln(x+1)+C2x1(x3)(x+1)dx=54ln(x3)+34ln(x+1)+C.

si143_e

Check:

ddx(54ln(x3)+34ln(x+1)+C)=54(x3)+34(x+1)

si144_e

writing this over a common denominator gives

ddx(54ln(x3)+34ln(x+1)+C)=5(x+1)+3(x3)4(x3)(x+1)=5x+5+3x94(x3)(x+1)=8x-44(x3)(x+1)=2x1(x3)(x+1)

si145_e

(b) x2(x+2)(2x1)2dxsi146_e

Again, we can use partial fractions. Because of the repeated factor in the denominator we use both a linear and a squared term in that factor. We need to find A, B, and C so that

x2(x+2)(2x1)2=A(x+2)+B(2x1)+C(2x1)2

si147_e

where this should be true for all values of x. Multiply by (x + 2) (2x – 1)2 to get

x2=A(2x1)2+B(2x1)(x+2)+C(x+2)

si148_e

This is an identity, so we can substitute values for x

substitute?x=12?giving?0.25=C(2.5)C=0.1substitute?x=2?giving 4?=A(5)2?A=4/25=0.16substitute?x=0?giving?0?=A+B(1)(2)+C(2).

si149_e

Using the fact that A = 0.16 and C = 0.1, we get

0=0.162B+0.20=0.362B2B=0.36B=0.18.

si150_e

Then we have

x2(x+2)(2x1)2dx=0.16x+2+0.18(2x1)+0.1(2x1)2dx=0.16ln(x+2)+0.182ln(2x1)0.12(2x1)1+C=0.16?ln(x+2)+0.09ln(2x1)0.05(2x1)+C.

si151_e

Check:

ddx(0.16ln(x+2)+0.09ln(2x1)0.052x1+C)=ddx(0.16ln(x+2)+0.09ln(2x1)0.05(2x1)1+C)=0.16(x+2)+0.09(2x1)(2)+0.05(2)(2x1)2=0.16(x+2)+0.18(2x1)+0.1(2x1)2.

si152_e

Writing this over a common denominator gives

0.16(2x1)2+0.18(2x1)(x+2)+0.1(x+2)(x+2)(2x1)2=0.16(4x24x+1)+0.18(2x2+3x2)+0.1x+0.2(x+2)(2x1)2=0.64x20.64x+0.16+0.36x2+0.54x0.36+0.1x+0.2(x+2)(2x1)2=x2(x+2)(2x1)2.

si153_e

8.6 Summary

 

1. Many physical situations involve exponential growth or decay where the rate of change of y is proportional to its current value.

2. All exponential functions, y = at, are such that d y/dt = ky, that is, the derivative of an exponential function is also an exponential function scaled by a factor k.

3. The exponential function y = ethas the property that dy/dt = y, that is, its derivative is equal to the original function:

ddt(et)=et,

si154_e


where e ≈ 2.71828. The inverse function to et is loge(t), which is abbreviated to In(t). This is called the natural or Napierian logarithm.

4. The general solution to d y/dt = ky is y = y0ekt, where y0 is the value of y at t = 0

5. 

ddt(t)=ln(a)at?and

si155_e


ddt(loga(t))=1ln(a)t.

si156_e

6. The hyperbolic cosine (cosh) and hyperbolic sine (sinh) are the even and odd parts of the exponential function:

ex=cosh(x)+sinh(x)

si157_e


cosh(x)=ex+ex2

si158_e

sinh(x)=ex-ex2

si159_e

These functions get the name hyperbolic because of their relationship to a hyperbola. The hyperbolic tangent is defined by

tanh(x)=sinh(x)cosh(x)=ex-exex+ex

si160_e

There are various hyperbolic identities, which are similar to the trigonometric identities (Table 8.2).

7. The inverse hyperbolic functions cosh−1(x)(x ≥ 1), sinh−1(x), tanh −1 (x) (−1 < x < 1) have the following logarithmic identities:

sinh1(x)=ln(x+x2+1)?for?all?x

si161_e


cosh1(x)=ln(x+x21)??x1

si162_e

tan1(x)=12ln(1+x1x)?????1?<x<1

si163_e

cosh−1 (x) is the inverse of cosh(x) if the domain of cosh(x) is limited to the positive values of x and zero.

8. Adding the derivatives and integrals of the exponential, In, hyperbolic and inverse hyperbolic functions to the tables of standard derivatives and integrals gives Tables 8.3 and 8.4.

9. Partial fractions can be used to integrate fractional functions such as

x+1(x1)(x+2).

si164_e


8.7 Exercises

8.1 Using ddt(et)=etsi165_e show that the function 2e3t is a solution to the differential equation

dydt3y

si166_e


8.2 Assuming p = poekt find Po and k such that

dpdt=p1200

si167_e


and p = 1 when t = 0.

8.3 Assuming N = N0ekt find N0 and k such that

dNdt=4.3×104N???and????N=5×106??at?t=0.

si168_e


8.4. Assuming ϕ = Aekt + 300 find A and k such that

dϕdt=0.1×(ϕ300)???and????ϕ=400??when?t=0.

si169_e


8.5. Using the definitions of

cosh(x)=ex+ex2

si170_e


and

sinh(x)=ex-ex2

si171_e

show that

(a) cosh2(x) – sinh2(x) = 1

(b) sinh(x – y) = sinh (x) cosh(y) – cosh(x) sinh(y)

8.6 Using y = tanh−l (x) ⇔ tanh(y) = x, where −1 < x < 1, and

tanh(y)=eyeyey+ey

si172_e


show that

tanh1(x)=12ln(1+x1x)

si173_e

where −1 < x < 1.

8.7 Calculate the following and where possible use the appropriate inverse functions to check your result:

(a) (a) cosh(2.1)

(b) tanh(3)

(c) sinh−l(0.6)

(d) tanh−l (1.5)

(e) cosh−l (−1.5)

8.8. Differentiate the following:

(a) z = et2−2

(b) x = e−t cosh(2t)

(c) 

x21sinh(x)

si174_e


(d) In(x3 – 3x) sinh (x)

(e) log2 (2x)

(f) a4t

(g) 2tt2

(h) 1/(et−1)2

8.9 Find the following integrals:

(a) e4t3si175_e

(b) 32dt4t1si176_e

(c) x?sin(2x2)dxsi177_e

(d) x?ln(x)dxsi178_e

(e) 10exx2?dxsi179_e

(f) sinh(t)cosh(t)dtsi180_e

(g) 2(x1)x22x4dxsi181_e

(h) t+1(t3)(t1)dtsi182_e

(i) 42tt2(t1)dtsi183_e

8.10. The charge on a discharging capacitor in an RC circuit decays according to the expression Q = 0.001e−10t. Find an expression for the current using I = dQ/dt and find after how long the current is half of its initial value.

8.11 A charging capacitor in an RC circuit with a d.c. voltage of 5 V charges according to the expression q=0.005(1-e-0.5t)si184_e. Given that the current i = dq/dt, calculate the current: (a) when t = 0; (b) after 10 s; and (c) after 20 s.

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