As you embark on studying engineering, whether electrical, electronic, mechatronic or mechanical, it will become apparent that equations are used to describe relationships between physical quantities and are more clear and unambiguous than the written word on its own. This does not mean that it is not important to clearly explain relationships in words but rather there is a need to supplement the written word by using equations. In any discussion of relationships between physical quantities, the term function is likely to be encountered. So what is a function?
Let’s commence our explanation of the term function by discussing a simple example.
We are all familiar with springs, whether they are those we find inside some pens, the springs holding the tremolo block in position on a classic Fender stratocaster guitar or the suspension springs on a car. Consider, therefore, a simple vertical spring dangling from a clamp with a mass pan attached to its lower end (Figure 1.1). Using such a system we can perform a simple experiment, adding masses to the pan and determining the relationship between the force exerted by the masses and the resulting extension of the spring. The extension is measured from the datum line of the system when in stable equilibrium before we start adding masses and recording extensions. The results of such an experiment might be of the form shown in Table 1.1.
Figure 1.1 Simple spring with mass pan, the figure indicating the two physical quantities, namely the applied force and the resulting extension, that we are interested in determining the relationship between. Note, adding masses of 120 g results in force increments of about 1.2 N.
From Table 1.1, we can assume that there is some relationship or connection between the values of the force F acting on the spring and the corresponding observed extension e values. We can say:
Statement [1] is an inferred relationship between an observed measurement e and a varied quantity, in this case the applied force F. We can therefore call F the independent quantity, sometimes referred to as the argument, from which a dependent result is obtained. We can restate statement [1] as:
A function is a relationship which has for each value of the independent variable a unique value of the dependent variable. Statement [2] can be written as:
This means exactly the same thing as statement [2] but is just easier and more concise to write. The ‘f’ simply is shorthand for ‘function of’. Note that f(F) does not mean a variable f multiplied by F. When we are dealing with a number of different functions it is customary to use different letters for the function label, e.g. we might use y = f(x) and z = g(x).
The statement e = f(F) merely tells us that the extension e is a function of the applied force F and does not describe the actual relationship between them. The data in Table 1.1 is one way we describe the relationship. If we know the force is 3.6 N then the extension must be 0.03 m.
However, a pattern can be seen from an inspection of the results in Table 1.1: if we double the applied force then the resulting extension doubles, if we treble the applied force the extension trebles and if we quadruple the applied force the extension quadruples. We can say, at least over the range of values we have observed:
and we can write this as:
The symbol ∝ simple means (or is shorthand for) ‘proportional to’.
We can also see how the extension depends on the applied force by plotting a graph. If we plot a graph of the force values in Table 1.1 against the corresponding extension values we obtain the straight line graph shown in Figure 1.3. The straight line passes through the origin. This is a characteristic of relationships when one quantity is directly proportional to the other. The graph is thus one way of defining the functional relationship.
Figure 1.3 Force–extension graph for the spring experiment values given in Table 1.1
We can use the graph in Figure 1.3 to determine an equation relating the extension to the applied force and so give another way of defining the functional relationship. The graph is a straight line and so has a constant slope (or gradient), the slope being defined in the same way as we define the slope of a road, i.e. as the change in vertical height of the line over a given horizontal distance (Figure 1.4). We can compute the slope by choosing a pair of values of force and extension, e.g. force 60 N, extension 0.05 m; force 1.2 N, extension 0.01 m, and so obtain:
Since the straight line passes through the origin, this tells us that the force in newtons is, over the interval that has been considered, 120 times the extension in metres. We can write this as:
The constant term, i.e. the 120 N/m, is called the constant of proportionality linking F to the corresponding e values.
To summarise: we can define the functional relationship between two variables by:
• a set of results (as in Table 1.1),
• a graph (as in Figure 1.3),
• an equation (as in equation [4]).
Note that to define a function y = f(x) completely, we must define the range of values of x over which the definition is true. This is called the domain of the function.
Functions may, as mentioned earlier, be defined using equations. Equations give the instructions for calculating the dependent variable of functions for values of the independent variable. For example, for an ohmic resistor the potential difference V across it is a function of the current I through it, i.e.
The equation defining the functional relationship (Ohm’s law) is V = RI, where R is the constant if proportionality connecting the variable V with the variable I, thereby defining their unique relationship. So given a value for the current we can use the equation to obtain a value of the potential difference. Thus, when R = 10 Ω and I = 2 A we have:
For an object freely falling from rest, the distance fallen s is a function of the time t for which it has been falling, i.e. s = f(t). The defining equation is s = ½at2, where a, the acceleration, is a constant. The acceleration is the acceleration due to gravity g and so we can write the defining equation as s = ½gt2. Thus, given a value for the time we can use the equation to obtain a value for the distance fallen. If we assume that g has a value of 9.8 m/s2, then for a time of 3 s;
Note that a function may be defined by several equations, with each giving the instructions for calculating the dependent variable for different values of the independent variable. For example, for the voltage signal shown in Figure 1.5, a so-called step voltage, we have v = f(t) and the relationship
The value of v = f(1) is thus 0, while the value of v = f(4) is 2 V.
Functions may of course get quite complex! For example, the natural frequency of transverse vibration of a cantilever is described by the equation:
The frequency of the cantilever is a function of E, I, m and L. So, in functional notation we can write:
Many of the functions encountered in engineering and science can be considered to be combinations of other functions. Suppose we have the function We can think of the function f(x) as resulting from the combination of two functions g(x) and h(x). One of the functions takes an input of x and gives an output of x2 and the other takes an input of x and gives an output of 2x. The two outputs are then added and we have f(x) = g(x) + h(x). Figure 1.6 illustrates this.
Another way we can combine functions is by applying them in sequence. For example, if we have h(x) = 2x and g(x) = x2, then suppose we have the arrangement shown in Figure 1.7. The input of x to the g function box results in an output of x2. The h function box takes its input and doubles it. Thus for an input of x2 we have an output of 2x2, thus f(x) = h{g(x)} = 2x2. Note that the order of the function boxes is important.
1. If we have y as a function of x and defined by the equation y = 2x + 3, what are the values of (a) f(0), (b) f(1)?
2. If we have y as a function of x and defined by the equation y = x2 + x, what are the values of (a) f(0), (b) f(2)?
3. If y is a function of x defined by the following equations, find the values of f(0) and f(1).
4. Determine the values of (a) f(0.5), (b) f(2) if we have y as a function of x and defined by:
5. Determine the values of (a) f(1) (b) f(3) if we have y as a function of t and defined by:
6. The voltage in an electrical circuit is supplied by a constant voltage source of 10 V. If the voltage is switched on after time t = 2 s, state the equations defining the step voltage at any time t.
7. Sketch the periodic waveform described by the following equations:
8. The period of oscillation T of a simple pendulum is a function of the length L of the pendulum, being defined by the equation
where g is the acceleration due to gravity. What are the values of (a) f(1), (b) f(10) if g can be taken as 10 m/s2?
9. The velocity v in metres per second of a moving object is a function of the time t in seconds, being defined by v = 2 + 5t. What are the values of (a) f(0), (b) f(1)?
10. If g(x) = 2x and h(x) = x + 1, what are (a) g(x) + h(x), (b) g{h(x)}, (c) h{g(x)}?
11. If f(x) = x2 + 1, g(x) = 3x and h(x) = 3x + 2, determine: (a) f(x) + g(x), (b) f{g(x)}, (c) g{f(x)}, (d) f(x) − h(x), (e) f{h(x)}.
This section is about a form of functions that is very commonly encountered in engineering, namely linear functions. Quite simply, linear functions are ones that provide a linear or straight line relationship between two variables when plotted as a conventional graph of one variable against the other.
The potential difference V across a resistor is a function of the current I through it. If the resistor obeys Ohm’s law then V = RI, the potential difference is proportional to the current. If the current is doubled then the potential difference is doubled, if the current is trebled the potential difference is trebled. This means that a graph of V plotted against I is a straight line graph passing through the origin. Gradient is defined as the change in y value divided by the change in x value. Thus, for all straight line graphs passing through the origin (Figure 1.8), the gradient is constant and given by gradient m = y/x. Hence the equation of such a straight line is of the form:
where m is the gradient of the line. Only when we have such a relationship is y directly proportional to x.
Figure 1.8 Straight line graph with y directly proportional to x; the straight line thus passes though the origin
Straight line graphs which do not pass through the origin (Figure 1.9) have a gradient, change in y value divided by change in x value, given by m = (y − c)/x, where c is the value of y when x = 0, i.e. the intercept of the straight line with the y-axis. Thus, such lines have the equation:
This is the equation which defines a straight line and is termed a linear equation. It is important to realise that with c ≠ 0 that y is not proportional to x.
The gradient m of a straight line graph may be positive or negative. The gradient may also have a value of zero and this is a line parallel to the x-axis. The intercept c may be positive or negative, or zero.
1. State which of the following will give a straight line graph and, if so, whether it passes through the origin:
(a) A graph of the extension of a spring plotted against the applied load when the extension is proportional to the applied load.
(b) A graph of the resistance R of a length of resistance wire plotted against the temperature t when R = R0(1 + at), with R0 and a being constants.
(c) A graph of the distance d travelled by a car plotted against time t when d = 10 + 4t2.
(d) A graph is plotted of the pressure p of a gas against its volume v, the pressure being related to the volume by Boyle’s law, i.e. pv = a constant.
2. Determine the straight line equations for the following data if linear functional relationships can be assumed:
A linear function is one where the equation defining the function is of the form y = mx + c. The highest power of a variable is 1. This is only one type of function. Here we look at another form, the quadratic function, and examine its defining equation.
The term quadratic function is used for a function y = f(x) where the defining equation has the general form:
where a, b and c are constants. The highest power of the variable is 2.
Quadratic equations occur often in engineering. An example of such an equation in engineering occurs with the e.m.f. E of a thermocouple which can often be described by:
where t is the temperature and a and b are constants. Other examples occur in the relationships for the bending moment M for bending beams, such as that for a cantilever propped at its free end:
where x is the distance from the free end of a cantilever of length L and w the distributed load per unit length.
The linear equation and the quadratic equation are just two examples of what are termed polynomials. A polynomial is the term used for any equation involving powers of the variable which are positive integers. Such powers can be 1, 2, 3, 4, 5, etc. For example, x4 + 4x3 + 2x2 + 5x + 2 = 0 is a polynomial with the highest power being 4.
To factorise a number means to write it as the product of smaller numbers. Thus, for example, we can factor 12 to give 12 = 3 × 4. The 3 and 4 are factors of 12. If the 3 and the 4 are multiplied together then 12 is obtained. To factorise a polynomial means to write it as the product of simpler polynomials. Thus for the quadratic expression x2 + 5x + 6 we can write:
(x + 2) and (x + 3) are factors. If the two factors are multiplied together then the x2 + 5x + 6 is obtained. Note that, in general:
If we have u × v = 0 then we must have either u = 0 or v = 0 or both u and v are 0. This is because 0 times any number is 0. Thus if we have the quadratic equation x2 + 5x + 6 = 0 and rewrite it as (x + 2)(x + 3) = 0, then we must have either x + 2 = 0, or x + 3 = 0 or both equal to 0. This means that the solutions to the quadratic equation are the solutions of these two linear equations, i.e. x = −2 and x = −3. These values are called the roots of the equation. We can check these values by substituting them into the quadratic equation. Thus for x = −2 we have 4 − 10 + 6 = 0 and thus 0 = 0. For x = −3 we have 9 − 15 + 6 = 0 and thus 0 = 0.
Consider the equation x2 + 6x + 9 = 0. This equation can be factorised to give (x + 3)(x + 3) = 0, i.e. (x + 3)2 = 0. It is a perfect square, both the roots being the same. Now consider the equation x2 + 6x + 2 = 0. What are the factors? We can rewrite the equation as:
If we add 9 to both sides of the equation then we obtain
The left-hand side of the equation has been made into a perfect square by the adding of the 9. Thus we can write:
This means that x + 3 must be one of the square roots of 7, i.e.
The plus or minus is because every positive number has two square roots, one positive and one negative. Thus we have Hence:
The two solutions are thus
This method of determining the roots of a quadratic equation is known as completing the square. In the above discussion the left-hand side of the equation was made into a perfect square by the adding of 9. How do we determine what number to add in order to make a perfect square? Any expression of the form x2 + ax becomes a perfect square when we add (a/2)2, since:
Thus for x2 + 6x we have a = 6 and so (a/2) = 3; we add 32 = 9.
The above rule for completing the square only works if the coefficient of x2, i.e. the number in front of x2, is 1. However, if this is not the case we can simply divide throughout by that coefficient in order to make it 1.
Consider the quadratic equation ax2 + bx + c = 0. To obtain the roots by completing the square method, we divide throughout by a to give:
This can be written as:
To make the left-hand side of the equation a perfect square we must add (b/2a)2 to both sides of the equation. Hence:
and so:
Taking the square root of both sides of the equation gives
Thus:
and so we have the general formula for the solution of a quadratic equation:
Consider the following three situations:
• If we have (b2 − 4ac) > 0, then the square root is of a positive number. There are then two distinct roots which are said to be real.
• If we have (b2 − 4ac) = 0, then the square root is zero and the formula gives just one value for x. Since a quadratic equation must have two roots, we say that the equation has two coincident real roots.
• If we have (b2 − 4ac) < 0, then the square root is of a negative number. A new type of number has to be invented to enable such expressions to be solved. The number is referred to as a complex number and the roots are said to be imaginary (the roots in 1 and 2 above are said to be real). Such numbers are discussed later in this book.
1. Determine, if they exist, the real roots of the following quadratic functions:
2. The e.m.f. E of a thermocouple is a function of the temperature T, being given by E = −0.02T2 + 6T. The e.m.f. is in μV and the temperature in °C. Determine the temperatures at which the e.m.f. will be 200 μV
3. When a ball is thrown vertically upwards with an initial velocity u from an initial height ho, the height h of the ball is a function of the time t, being given by h − h0 = ut − 4.9t2. Determine the times for which the height is 1 m, if u = 4 m/s and h0 = 0.5 m.
4. The deflection y of a simply supported beam of length L when subject to an impact load of mg dropped from a height h on its centre is obtained by equating the total energy released by the falling load with the strain energy acquired, i.e.
Hence obtain an expression for the deflection y.
5. The height h risen by an object, after a time t, when thrown vertically upwards with an initial velocity u is given by the equation where g is the acceleration due to gravity. Solve the quadratic equation for t if u = 100 m/s, h = 150 m and g = 9.81 m/s2.
6. A rectangle has one side 3 cm longer than the other. What will be the dimensions of the rectangle if the diagonals have to have lengths of 10 cm? Hint: let one of the sides have a length x, then the other side has a length of 3 + x. The Pythagoras theorem can then be used.
So far, in the treatment of a function we have started with a value of the independent variable x and used the function to find the corresponding value of the dependent variable y (Figure 1.14(a)). However, suppose we are given a value for y and want to find x (Figure 1.14(b)). For example, we might have distance s as a function of time t, e.g. s = 2t. Given a value of the independent variable t we can use the function to determine s. Suppose though that we are given a value of the dependent variable s and have to determine the corresponding t value? With the given equation we can rearrange it to give t = s/2. The function from t to s is f(t), the function from s to t is a different function g(s).
Figure 1.15(a) shows some values for the s = f(t) function described by the equation s = 2t. Figure 1.15(b) shows the function obtained by reversing the arrows, i.e. starting with time values deducing the corresponding distance values. This figure represents the inverse relationship.
Note that there is a simple point of significance here: if we use s = 2t to calculate a value for s given a value of t and then use the inverse by taking that value of t to calculate a value of s, we end up back where we started with our original value of s. This leads to a method of specifying an inverse function. Consider the arrangement shown in Figure 1.16. Here the g function system box operates on the output from the f function box in order to undo the work of the f box. Because the g function is undoing the work of the f function it is said to be the inverse of f. We may, therefore, write:
This equation [11] is used to define an inverse function:
If f is a function of x then the function g which satisfies g{f(x)}= x for all values of x in the domain of f is called the inverse off.
With regard to notation: the inverse of a function f of x is written as f−1(x). Note that f−1(x) does not mean 1/f(x), it is simply the notation to indicate the inverse function (the −1 not indicating a a power −1!). f−1(x) takes an input which is some function of x and inverts it to give an output of x. Thus the above definition gives:
As an illustration, consider a function f which adds 2, i.e. we have f(x) = x + 2 (Figure 1.17(a)). Then the inverse is a function that subtracts 2 in order to undo the action of the f function (Figure 1.17(b)). Thus, f−1(x) = x − 2 and so if we put into the function x + 2 we obtain (x + 2) − 2.
As a further illustration, consider a function f which multiplies by 3, i.e. we have f(x) = 3x (Figure 1.18(a)). Then the inverse is a function that divides by 3 in order to undo the action of the f function (Figure 1.18(b)). Thus f−1(x) = x/3.
As another illustration, consider a function which multiplies by 3 and then adds 2, i.e. f(x) = 3x + 2. Here we have operated on the input x to the function twice, initially we multiplied the x by 3 and then we added the number 2 (Figure 1.19(a)). To arrive back at the original input, the inverse do two things (the reverse operation of those just detailed), namely initially subtract 2 and then secondly divided through by 3 (Figure 1.19(b)). Note that you must undo things in the reverse order to which they were done with the function f.
Figure 1.19 (a) The functions which multiply by 3 and then add 2, (b) the inverse functions which subtract 2 and then divide by 3
The above illustrations are rather basic functions. We will investigate more complex ones later. However, the basic rules still apply and, once understood, will provide a solid foundation from which to build more complex relationships.
We can use the above rules for a function and its inverse to find the graph of an inverse function from a graph of the function. Consider the graph of y = f(x) shown in Figure 1.20(a). This is the graph described by the equation y = x2. What is the graph of the inverse function f−1(x)? This will be the graph of y = √x (Figure 1.20(b)) since the function √x is what we need to apply to undo the function x2.
If we examine the two graphs we find that the inverse f−1 is just the reflection of the graph of f in the line y = x (Figure 1.21). This is true for any function when it possesses an inverse.
This section focuses on the so-called circular or trigonometric functions. Such functions are widely used in engineering. Thus in describing oscillations, whether mechanical of perhaps a vibrating beam or electrical and alternating current, the equations used to define the quantity which fluctuates with time is likely to involve a trigonometric function.
As an illustration, consider the mechanical oscillation of a mass on the end of a spring when is just vibrates up-and-down when the mass is given a vertical displacement (Figure 1.22). With very little damping, the mass will oscillate up-and-down for quite some time. Figure 1.23 shows how the displacement varies with time.
Figure 1.23 Displacement y variation with time for the oscillating mass when damping is virtually absent
If we look at the situation when there is noticeable damping present, then the displacement variation with time looks more like Figure 1.24. The difference between this graph and Figure 1.23 is that, though we have a similar form of graph, the effect of the damping is that the amplitude decreases with time.
We can derive an equation to represent the variation of displacement with time in the absence of damping by using a simple model. Suppose we draw a circle with a radius OA equal to the amplitude of the oscillation, i.e. the maximum displacement, and consider a point P moving round the circle with a constant angular velocity ω (Figure 1.25) and starting from the horizontal. The vertical projection of the rotating radius OP gives a displacement-angle graph. Since the radius OP is rotating with a constant angular velocity, the angle rotated is proportional to the time. The result is a graph which replicates that of the undamped oscillating mass.
Since AB/OA = sin θ we can write:
where AB is the vertical height of the line at some instant of time, OA being its length. The maximum value of AB will be OA and occur when θ = 90°. But a constant angular velocity ω means that in a time t the angle θ covered is ωt. Thus the vertical projection AB of the rotating line will vary with time and is described by the equation:
If y is the displacement of the alternating mass and A the amplitude of its oscillation, the equation can be written as:
This type of oscillation is called simple harmonic motion.
It is usual to give angular velocities in units of radians per second, an angular rotation through 360° being a rotation through 2π radians. Since the periodic time T is the time taken for one cycle of a waveform, then T is the time taken for OA to complete one revolution, i.e. 2π radians. Thus:
The frequency f is 1/T and so ω = 2πf. Because ω is just 2π times the frequency, it is often called the angular frequency. The frequency f has units of hertz (Hz) or cycles per second and thus the angular frequency has units of s−1. We can thus write the above equation as:
We can use a similar model to describe alternating current; in this case the rotating radius OP is called a phasor. Thus the current i is related to its maximum value I by:
For the damped oscillation, the amplitude decreases with time so we must figure out how to quantify this ‘decay’ and link it somehow with the basic sine wave function of the undamped system. As we will later discover, the damped oscillation is actually described by a combination of a sine function and an exponential function.
We can define the circular functions, i.e. the sine, cosine and tangent, in terms of the rotation of a radial arm of length A (it often represents the amplitude) in a circular path (Figure 1.27). Thus, we can define the sine of an angle as:
But, with b = yi − 0, then sin θ = y1/A and so:
This relationship now enables us to calculate the vertical side of the triangle Ox1P, or the y-coordinate of point P.
Likewise, we can define the cosine of an angle as:
But, with c = x1 − 0, then cos θ = x1/A and so:
This relationship now enables us to calculate the horizontal side of the triangle Ox1P, or the x-coordinate of point P.
We can define the tangent of an angle in terms of the gradient of the line OP as:
Using equations [15] and [16] we can write equation [17] as:
With reference to Figure 1.27, as the point P moves around the circle, so the angle θ changes. The trigonometrical ratios can be defined in terms of the angles in a right-angled triangle. However, the above definitions allow us to define them for all angles, not just those which are 90° or less. Because they are defined in terms of a circle, they are termed circular functions.
Consider the motion of a point P around a unit radius circle (Figure 1.29). P0 is the initial position of the point and P the position to which it has rotated. The radial arm OP in moving from OP0 has swept out an angle θ. The angle θ is measured between the radial arm and the OP0 axis as a positive angle when the arm rotates in an anticlockwise direction. Since the circle has a unit radius, to obtain for angles up to 90° the same result as the trigonometric ratios defined in terms of the right-angled triangle, the perpendicular height NP defines the sine of the angle P0OP and the horizontal distance ON defines the cosine of the angle P0OP.
Consider the circular rotations for angles in each quadrant (note: the first quadrant is angles 0° to 90°, the second quadrant 90° to 180°, the third quadrant 180° to 270°, the fourth quadrant 270° to 360°):
When the radial arm OP is in the first quadrant (Figure 1.30) with 0 ≤ θ < π/2, 0 ≤ θ < 90°, both NP and ON are positive. Thus both the sine and the cosine of angle θ are positive. Since the tangent is NP/ON then the tangent of angle θ is positive. For example, sin 30° = +0.5, cos 30° = +0.87 and tan 30° = +0.58.
2. Angles between 90° and 180°
When the radial arm OP moves into the second quadrant (Figure 1.31) with π/2 ≤ θ < π, 90° ≤ θ < 180°, NP is positive and ON negative. Thus the sine of angle θ is positive and the cosine negative. Since the tangent is NP/ON then the tangent of angle θ is negative. For example, sin 120° = 0.87, cos 120° = −0.50 and tan 120° = −1.73.
3. Angles between 180° and 270°
When the radial arm moves into the third quadrant (Figure 1.32) with π ≤ θ < 3π/2, 180° ≤ θ < 270°, NP is negative and ON negative. Thus the sine of angle θ is negative and the cosine negative. Since the tangent is NP/ON then the tangent of angle θ is positive. For example, sin 210° = −0.5, cos 210° = −0.87 and tan 210° = +0.58.
4. Angles between 270° and 360°
When the radial arm is in the fourth quarter (Figure 1.33) with 3π/2 ≤ θ < 2π, 270° ≤ θ < 360°, NP is negative and ON positive. Thus the sine of angle θ is negative and the cosine positive. Since the tangent is NP/ON then the tangent of angle θ is negative. For example, sin 300° = −0.87, cos 300° = 0.5 and tan 300° = −1.73.
We can now summarise with Figure 1.34 as an aid to memory.
For angles greater than 2π rad (360°), the radial arm OP simply rotates more than one revolution. Negative angles are interpreted as a clockwise movement of the radial arm from OP0.
A cyclic function is one which repeats itself on a cyclic period. Thus, if we have a function y = f(x) which is cyclic and repeats itself after a time T, then:
T is termed the periodic time and is the time taken to complete one cycle. Hence, if the frequency is f then f cycles are completed each second and so T = 1/f.
As the arm OP in Figure 1.35 rotates round-and-round its circular path, the values of its vertical projection NP is cyclic and generates the sine graph shown. Since the graph describes a periodic function of period 2π, then:
where n = 0, ±1, ±2, etc.
Note that if OP rotates in a clockwise direction, i.e. the negative direction, then as θ is negative, this generates the sine function continued to the left of the origin O into the negative region (Figure 1.36). For negative values of θ, the sine function has the same values as the positive values except for a change in sign:
To obtain the graph of cos θ as the radial arm OP rotates round-and-round its circular path, we read off the values of its horizontal projection ON. Figure 1.37 shows the result. Since the graph describes a periodic function of period 2π, then:
where n = 0, ±1, ±2, etc.
Note that the graph of y = sin θ is the same as that of y = cos θ moved ½π to the right, while that of y = cos θ is the same as y = sin θ moved ½π to the left, i.e. sin θ = cos (θ − ½π) and cos θ = sin (θ + ½π).
In the projections of the radial arm OP to generate the sine or cosine graphs, we have let OP have the value of 1. If we consider a radial arm of length A, we have the same function but multiplied by A, i.e. y = A sin θ. The amplitude of the waveform is changed. To illustrate this look at the following functions and their graphs as plotted to the same scale and on the same axes (Figure 1.38): y = 1 sin θ with amplitude A = 1, y = 4 sin θ with amplitude A = 4 and y = 0.5 sin θ with amplitude A = 0.5.
In engineering, we often encounter functions of the general form:
φ is the initial angle we start the rotating radial arm OP at and, as a consequence, φ is the angle by which the sine or cosine graph is moved to the left when positive and to the right when negative. It defines a phase shift of the complete waveform. Figure 1.39 illustrates this by showing the effect of a phase shift of π/3, i.e. 60°.
Figure 1.39 Graph of y = sin (θ + π/3), showing the effect of a phase shift of π/3, i.e. 60°, as being to shift the graph to the left by that amount
Now consider the graph of the function y = tan x. For the radial arm OP rotating in a circle, the tangent is PN/OP (Figure 1.40). But if we draw a tangent to the circle at Po then, for a unit radius circle the tangent of the angle is P0M. When the radius arm has moved to an angle between 90° and 180° then the tangent is P0M1. The graph describes a periodic function which repeats itself every period of π (not every 2π as for a sine or cosine function). Thus:
for n = 0, ±1, ±2, etc.
A sinusoidal alternating current can be represented by the equation i = I sin ωt, where i is the current at time t and I the maximum current. In a similar way we can write for a sinusoidal alternating voltage v = V sin ωt, where v is the voltage at time t and V the maximum voltage. Thus we can think of an alternating current and voltage in terms of a model in which the instantaneous value of the current or voltage is represented by the vertical projection of a line rotating in an anticlockwise direction with a constant angular velocity. The term phasor, being an abbreviation of the term phase vector, is used for such rotating lines. The length of the phasor can represent the maximum value of the sinusoidal waveform (or the generally more convenient root-mean-square value, the maximum value is proportional to the root-mean-square value). The line representing a phasor is drawn with an arrowhead at the end that rotates and is drawn in its position at time t = 0, i.e. the phasor represents a frozen view of the rotating line at one instant of time of t = 0 (Figure 1.44).
Alternating currents or voltages which do not always start with zero values at time t = 0 and can be represented in general by:
The phasor for such alternating currents or voltages is represented by a phasor (Figure 1.45) at an angle φ to the reference line, this line being generally taken as being the horizontal. The angle φ is termed the phase angle. We can describe such a phasor by merely stating its magnitude and phase angle (the term used is polar coordinates). Thus A describes a phasor with a magnitude, represented by its length, of 2 A and with a phase angle of 40°.
In discussing alternating current circuits we often have to consider the relationship between an alternating current through a component and the alternating voltage across it. If we take the alternating voltage as the reference and consider it to be represented by a horizontal voltage phasor, then the current may have some value at that time and so be represented by another phasor at some angle φ. There is said to be a phase difference of φ between the current and the voltage. If φ has a positive value then the current is said to be leading the voltage, if a negative value then lagging the voltage (Figure 1.46).
Often in working through engineering problems, it is necessary to rearrange circular functions in a different format. This section looks at how we can do this.
For the right-angled triangle shown in Figure 1.47, the Pythagoras theorem gives AB2 + BC2 = AC2. Dividing both sides of the equation by AC2 gives:
Dividing this equation by cos2 θ gives:
and dividing equation [25] by sin2 θ gives:
It is often useful to express the trigonometric ratios of angles such as A + B or A − B in terms of the trigonometric ratios of A and B. In such situations the relationships shown in Key points prove useful.
As an illustration of how we can derive such relationships, consider the two right-angled triangles OPQ and OQR shown in Figure 1.48:
If we replace B by −B we obtain:
If in equation [28] we replace A by (π/2 − A) we obtain:
If in equation [29] we replace B by −B we obtain:
We can obtain tan (A + B) by dividing sin (A + B) by cos (A + B) and likewise tan (A − B) by dividing sin (A − B) by cos (A − B). By adding or subtracting equations from above we obtain the relationships such as 2 sin A cos B.
If, in the above relationships for the sums of angles A and B we let B = A we obtain the double-angle equations shown in Key points.
Sometimes it is useful to write an equation of the form a sin θ + b cos θ in the form R sin (θ − a). We can do this by using the trigonometric formula for compound angles, e.g. equation [29] for sin (A − B). Thus:
Therefore, comparing coefficients of the sin θ terms:
and comparing coefficients of the cos θ terms:
Dividing these two equations gives
This leads us to be able to describe the angle a by the right-angled triangle shown in Figure 1.49. Hence:
The Key points show other relationships which can be derived in a similar way.
Often in alternating current circuits we need to add the voltages across two components in series. We must take account of the possibility that the two voltages may not be in phase, despite having the same frequency since they are supplied by the same source. This means that if we consider the phasors, they will rotate with the same angular velocity but may have different lengths and start with a phase angle between them. Consider one of the voltages to have an amplitude V1 and zero phase angle (Figure 1.50(a)) and the other an amplitude V2 and a phase difference of φ from the first voltage (Figure 1.50 (b)). We can obtain the sum of the two by adding the two graphs, point-by-point, to obtain the result shown in Figure 1.50(c). Thus at the instant of time indicated in the figures, the two voltages are v1 and v2. Hence the total voltage is v = v1 + v2. We can repeat this for each instant of time and hence end up with the graph shown in Figure 1.50(c).
However, exactly the same result is obtained by adding the two phasors by means of the parallelogram rule of vectors. If we place the tails of the arrows representing the two phasors together and complete a parallelogram, then the diagonal of that parallelogram drawn from the junction of the two tails represents the sum of the two phasors. Figure 17.16(c) shows such a parallelogram and the resulting phasor with magnitude V.
If the phase angle between the two phasors of sizes V1 and V2 is 90°, as in Figure 1.51, then the resultant can be calculated by the use of the Pythagoras theorem as having a size V of:
and is at a phase angle φ relative to the phasor for V2 of:
If sin x = 0.8 what is the value of x? This requires the inverse being obtained. There is an inverse if the function is one-to-one or restrictions imposed to give this state of affairs. However, the function y = sin x gives many values of x for the same value of y. To obtain an inverse we have to restrict the domain of the function to −π/2 to +π/2. With that restriction y = sin x has an inverse. The inverse function is denoted as sin−1 x (sometimes also written as arcsin x). Note that the −1 is not a power here but purely notation to indicate the inverse. If sin x = 0.8 then the value of x that gives this sine is the inverse and so x = sin−1 0.8, i.e. x = 53°. Figure 1.53 shows the graphs for sin x and its inverse function. In a similar way we can define inverses for cosines and tangents.
1. State the amplitude and phase angle (with respect to y = 5 sin θ) of the function y = 5 sin (θ + 30°).
2. A cyclic function used to describe a rotating radius (phasor) is defined by the equation y = 4 sin 3t. What is the amplitude and the angular frequency of the function?
3. State the amplitude, period and phase angle for the following cyclic functions:
4. State the amplitude, period and phase angle for the following cyclic functions:
5. The potential difference across a component in an electrical circuit is given by the equation v = 40 sin 40πt. Deduce the maximum value of the potential difference and its frequency.
6. A sinusoidal voltage has a maximum value of 1 V and a frequency of 1 kHz. If the voltage has a phase angle of 60°, what will be the instantaneous voltage at times of
7. A sinusoidal alternating current has an instantaneous value i at a time t, in seconds, given by i = 100 sin (200πt − 0.25) mA. Determine (a) the maximum current, (b) the frequency, (c) the phase angle.
8. A sinusoidal alternating voltage has an instantaneous value v at a time t, in seconds, given by v = 12 sin (100πt + 0.5) volts. Determine (a) the maximum voltage, (b) the frequency, (c) the phase angle.
9. What is the value of v, when t = 30 μs, for an amplitude-modulated radio wave with a voltage v in volts which varies with time t in seconds and is defined by the equation v = 50(1 + 0.02 sin 2400πt) sin (200 × 103πt).
10. Show that sin (A + B + C) = cos A cos B cos C (tan A + tan B + tan C − tan A tan B tan C).
11. Find the values of x between 0 and 360° which satisfy the condition 8 cos x + 9 sin x = 7.25.
12. Write 5 sin θ + 4 cos θ in the forms (a) R sin (θ − α), (b) R cos (θ + α).
13. Express W (sin α + μ cos α) in the form R cos (α − β) giving the values of R and tan β. Also show that the maximum value of the expression is W√(1 + μ2) and that this occurs when tan α = 1/μ.
14. Write the following functions in the form R sin (ωt + α):
15. Express 3 sin θ + 5 cos θ in the form R sin (θ + α) with α measured in degrees.
16. Write the following functions in the form R sin (ωt ± a):
17. The currents in two parallel branches of a circuit are 10 sin ωt milliamps and 20 sin (ωt + π/2) milliamps. What is the total current entering the parallel arrangement?
18. The voltage across a component in a circuit is 5.0 sin ωt volts and across another component in series with it 2.0 sin (ωt + π/6) volts. Determine the total voltage across both components.
19. The sinusoidal alternating voltage across a component in a circuit is 50√2 sin (ωt + 40°) volts and across another component in series with it 100√2 sin (ωt − 30°) volts. What is the total voltage across the two components?
20. The currents in two parallel branches of a circuit are 4√2 sin ωt amps and 6√2 sin (ωt − π/3) amps. What is the total current entering the parallel arrangement?
There are many situations in engineering where we are concerned with functions which grow or decay with time, e.g.
• The variation with time of the temperature of a cooling object.
• The variation with time of the charge on a capacitor when it is being charged and when it is being discharged.
• The variation with time of the current in a circuit containing inductance when the current is first switched on and then when it is switched off.
• The decay with time of the radioactivity of a radioactive isotope.
This section is about the equations we can use to describe such growth or decay.
In general, we can describe growth and decay processes by an equation of the form:
where a is some constant called the base, and y the value of the quantity at a time t. Thus, for growth, we might have 2t, 3t, 4t, etc. and for decay 2−t, 3−t, 4−t, etc. We could write equations for growth or decay processes with different values of the base. However, we usually standardise the base to one particular value. The most widely used form of equation is ex, where e is a constant with the value 2.728 281 828 … Whenever an engineer refers to an exponential change he or she is almost invariably referring to an equation written in terms of ex. Why choose this strange number 2.718… for the base? The reason is linked to the properties of expressions written in this way. For y = ex, the rate of change of y with x, i.e. the slope of a graph of y against x, is equal to ex (this is discussed in more detail in the chapter concerned with differentiation):
and there are many engineering situations where this property occurs.
A simple illustration of the above is given if we take a strip of paper and cut it into half, throwing away one of the halves. We then take the half strip and cut it into half, throwing away one of the halves. If we keep on repeating this procedure we obtain the graph shown in Figure 1.54(a). This is an exponential decay in the length of the paper. Now look at the change in length per tear, i.e. the ‘gradient’ of the graph, Figure 1.54(b). We have the same exponential function. A similar type of relationship exists in the discharge of a charged capacitor. The charge on the capacitor decreases exponentially with time and the rate of change of charge, i.e. the current, follows the same exponential decay.
The following shows the values of ex and e−x for various values of x and Figure 1.55 the resulting graphs
The ex graph describes a growth curve, the e−x a decay curve. Note that both graphs have y = 1 when x = 0.
In a more general form we can write the exponential equation in the form y = ekx, or y = e−kx, where k is some constant. This constant k determines how fast y changes with x. The following data illustrates this:
The bigger k is the faster y decreases, or increases, with x.
When x = 0 then for y = ekx, or y = e−kx, y = e0 and so y = 1. This is thus the value of y that occurs when x is zero. Since we may often have an initial value other than 1, we write the equation in the form:
where A is the initial value of y at x = 0. For example, for the discharging of a capacitor in an electrical circuit we have, for the charge q on the capacitor at a time t, the equation:
When t = 0 then q = Q0. The constant k is 1/CR. The bigger the value of CR the smaller the value of 1/CR and so the slower the rate at which the capacitor becomes discharged.
One form of equation involving exponentials that is quite common is of the form:
When x = 0 then e0 = 1 and so y = A − A = 0. The initial value is thus 0. As x increases then e−kx decreases from 1 towards 0, eventually becoming zero when x is infinite. Thus the value of y increases as x increases. When x is very large then e−kx becomes virtually 0 and so y becomes equal to A. Figure 8.4 shows the graph. It shows a quantity y which increases rapidly at first and then slows down to become eventually A.
For example, for a capacitor which starts with zero charge on its plates and is then charged we have the equation:
When t = 0 then e0 = 1 and so q = Q0 − Q0 = 0. As t increases, so the value of e−t/CR decreases and so q becomes more and more equal to Q0.
In Section 1.5 we considered the vertical oscillations of a mass on the end of a spring (Figure 1.22) with Figure 1.24 showing how the vertical displacement of the mass can be described by a sinusoidal oscillation with an amplitude which decays with time. In the absence of damping the displacement is described by:
where the amplitude A is a constant. With the damped oscillation we replace the constant A by a term involving exponential decay, i.e.
with C being a constant and ζ a damping term called the damping factor. At zero time the exponential term has the value 1 and so C is the initial amplitude. As the time increases so the exponential term becomes smaller and smaller and the amplitude term thus decreases.
The techniques used for the manipulation of exponentials are the same as those for manipulating powers. The following examples illustrate this.
1. The number N of radioactive atoms in a sample of radioactive material decreases with time t and is described by the equation N = N0 e−λt, where N0 and λ are constants. (a) Explain why this equation represents a quantity which is decreasing with time. (b) What will be the number of radioactive atoms at time t = 0? (c) For a radioactive material that decreases only very slowly with time, will λ have a large or smaller value than with a radioactive material which decreases quickly with time?
2. The length L of a rod of material increases from some initial length with the temperature θ above that at which the initial length is measured and is described by the equation L = L0, eaθ, where L0 and α are constants. (a) Explain why the equation represents a quantity which increases with time. (b) What will be the length of the rod when h = 0? (c) What will be the effect of a material having a higher value of a than some other material?
3. For an electrical circuit involving inductance, the current in amperes is related to the time t by the equation i = 3(1 − e−10t). What is the value of the current when (a) t = 0, and (b) t is very large?
4. What are the values of y in the following equations when (i) x = 0, (ii) x is very large, i.e. infinite?
5. The voltage, in volts, across a capacitor is given by 20 e−01t, where t is the time in seconds. Determine the voltage when t is (a) 1 s, (b) 10 s.
6. The atmospheric pressure p is related to the height h above the ground at which it is measured by the equation p = p0 e−h/c, where c is a constant and p0 the pressure at ground level where h = 0. Determine the pressure at a height of 1000 m if p0 is 1.01 × 105 Pa and c = 70 000 (unit m−1).
7. The current i, in amperes, in a circuit involving an inductor in series with a resistor when a voltage is E is applied to the circuit at time t = 0 is given by the equation
If R/L has the value 2 Ω/H (actually the same unit as seconds), what is the current when (a) t = 0, (b) t = 1 s?
8. The voltage v across a resistor in series with an inductor when a voltage E is applied to the circuit at time t = 0 is given by the equation v = E(1 − e−t/T). where T is the so-called time constant of the circuit. If T = 0.5 s, what is the voltage when (a) t = 0, (b) t = 1 s?
9. The charge q on a discharging capacitor is related to the time t by the equation q = Q0 e−t/CR, where Q0 is the charge at t = 0, R is the resistance in the circuit and C the capacitance. Determine the charge on a capacitor after a time of 0.2 s if initially the charge was 1 μC (1 μC = 10−6 C), R is 1 MΩ and C is 4 μF. Note that with the units in seconds (s), coulombs (C), ohms (Ω) and farads (F), the resulting charge will be in coulombs.
10. The current i, in amperes, in a circuit with an inductor in series with a resistor is given by the equation i = 4(1 − e−10t), where the time t is in seconds. Determine the current when (a) t = 0, (b) t = 0.05 s, (c) t = 0.10 s, (d) t = 0.15 s, (e) t = infinity.
11. The voltage v, in volts, across a capacitor after a time t, in seconds, is given by the equation v = 10 e−t/3. Determine the value of the voltage v after 2 s.
12. The resistance R, in ohms, of an electrical conductor at a temperature of θ°C is given by the equation R = R0 eαθ. Determine the resistance at a temperature of 1000°C if R0 is 5000 Ω and α is 1.2 × 10−4 (unit per °C).
13. The current i, in amperes, in an electrical circuit varies with time t and is given by the equation i = 2(1 − e−10t). Determine the current after times of (a) 0.1 s, (b) 0.2 s, (c) 0.3 s.
14. The amount N of a radioactive material decays with time t and is given by the equation N = N0 e−07t, where t is in years. If at time t = 0 the amount of radioactive material is 1 g, what will be the amount after five years?
15. The atmospheric pressure p, in pascals, varies with the height h, in kilometres, above sea level according to the equation p = p0 e−0.15h. If the pressure at sea level is 105 Pa, what will be the pressure at heights of (a) 1 km, (b) 2 km?
16. The voltage v, in volts, across an inductor in an electrical circuit varies with time t, in milliseconds, according to the equation v = 200 e−t/10. Determine the voltage after times of (a) 0.1 ms, (b) 0.5 ms.
17. When the voltage E to a circuit consisting of an inductor in series with a resistor is switched off, the voltage across the inductor varies with time t according to the equation v = −E e−t/T, where T is the time constant of the circuit. If T = 2 s, determine the voltage when (a) t = 0, (b) t = 1 s.
18. When a voltage E is applied to a circuit consisting of a capacitor in series with a resistor at time t = 0, the voltage v across the capacitor varies with time according to the equation v = E(1 − e−t/7). where T is the time constant of the circuit. If T = 0.1 s, determine the voltage when (a) t = 0, (b) t = 0.1 s.
19. The temperature θ, in °C, of a cooling object varies with time t, in minutes, according to θ = 200 e−0.04t. Determine the temperature when (a) t = 0, (b) t = 10 minutes, (c) t is infinite.
20. Under one set of conditions the amplitude A of the oscillations of a system varies with time t according to the equation A = A0 ekt. Under other conditions the amplitude varies according to the equation y = A0 e−kt. If k is a positive number, how do the oscillations differ?
Consider the function y = 2x. If we are given a value of x then we can determine the corresponding value of y. However, suppose we are given a value of y and asked to find the value of x that could have produced it. The inverse function is called the logarithm function and is defined, for y = ax and a > 0, as:
This is stated as ‘log to base a of y equals x’. Thus, if we take an input of x to a function f(x) = ax and then follow it by the inverse function f−1(x) = loga(x), as in Figure 1.61, then because it is an inverse we obtain x and so:
While logarithms can be to any base, most logarithms use base 10 or base e. Logarithms to base 10 are often just written as log or lg, the base 10 being then understood. Logarithms to base e are termed natural logarithms and often just written as In. Figure 1.61 shows the graph of y = ex and its inverse of the natural logarithm function.
Since a1 = a then loga a = 1.
Sometimes there is a need to change from one base to another, e.g. loga x to logb x. Let u = logb x then bu= x and so taking logarithms to base a of both sides gives loga bu = loga x and so u loga b = loga x. Since u = logb x then (logb x)(loga b) = loga x and so:
The power gain of a system is the ratio of the output power to the input power. If we have, say, three systems in series (Figure 1.63) then the power gain of each system is given by:
The overall power gain of the system is P4/P1 and is the product of the individual gains, i.e.
We thus can add the log ratio of the powers. This log of the power ratio was said to be the power ratio in units of the bel, named in honour of Alexander Graham Bell:
Thus the overall power gain in bels can be determined by simply adding together the power gains in bels of each of the series systems. The bel is an inconveniently large quantity and thus the decibel is used:
When a graph is a straight line then the relationship between the two variables can be stated as being of the form y = mx + c and we can easily determine the constants m and c from the graph and hence obtain the relationship. However, if we have a relationship of the form y = axb, where a and b are constants, then a plot of y against x gives a non-linear graph from which it is not easy to determine a and b. However, we can write the equation as:
A graph of lg y against lg x will thus be a straight line graph with a gradient of b and an intercept of lg a. Likewise, if we have the relationship y = a ebx then, taking logarithms to base e:
A graph of In y against x will give a straight line graph with a gradient of b and an intercept of In a.
To avoid having to take the logarithms of quantities, it is possible to use special graph paper which effectively takes the logarithms for you. Figure 1.64 shows the form taken by log-linear and log-log graph paper. On a logarithmic scale, the distance between 1 and 10 is the same as between 10 and 100, each of these distances being termed a cycle.
1. Simplify (a) 2 lg x + log x2, (b) In 2x3 − In(4/x2).
2. Write the following in terms of lg a, Ig b and lg c:
3. Solve for x the equations: (a) 3x = 300, (b) 102−3x = 6000, (c)72x+1 = 43−x.
4. The following data indicates how the voltage v across a component in an electrical circuit varies with time t. It is considered that the relationship between V and t might be of the form v = V e−bt. Show that this is so and determine the values of V and b.
5. A hot object cools with time. The following data shows how the temperature θ of the object varies with time t. The relationship between θ and t is expected to be of the form θ = a e−bx. Show that this is so and determine the values of a and b.
6. The rate of flow Q of water over a V-shaped notch weir was measured for different heights h of the water above the point of the V and the following data obtained. The relationship between Q and h is thought to be of the form Q = ahb. Show that this is so and determine the values of a and b.
7. The amplitude A of oscillation of a pendulum decreases with time t and gives the following data. Show that the relationship is of the form A = a ebt and determine the values of a and b.
8. The tension T and T0 in the two sides of a belt driving a pulley and in contact with the pulley over an angle of q is given by the equation T = T0 eμθ. Determine the values of T0 and μ for the following data:
9. In an electrical circuit, the current i in mA occurring when an 8.3 μF capacitor is being discharged varies with time t in ms as shown in the following table:
If I and T are constants, with I being the initial current in mA, show that the above results are connected by the equation i = I et/T and determine I and T.
10. The pressure P at a height h above ground level is given by P = P0 e−h/c, where P0 is the pressure at ground level and c is a constant. When P0 is 1.013 × 105 Pa and the pressure at a height of 1570 m is 9.871 × 104 Pa, determine graphically the value of c.
When we want to describe the curve a rope hangs in we use, what is termed, an hyperbolic function. The sine, cosine and tangent are termed circular functions because their definition is associated with a circle. In a similar way, the sinh (pronounced sinch or shine), cosh (pronounced cosh) and tanh (pronounced than or tanch) are hyperbolic functions associated with a hyperbola. Sinh is a contracted form of ‘hyperbolic sine’, cosh of ‘hyperbolic cosine’ and tanh of ‘hyperbolic tangent’. Figure 1.67 shows the comparison of the circular and hyperbolic functions. The hyperbolic functions are defined as:
Also we have sech x = 1/cosh x, cosech x = 1/sinh x and coth x = 1/tanh x.
Since cosh x is the average value of ex and e−x we can obtain a graph of cosh x as a function of x by plotting the ex and e−x graphs and taking the average value. Figure 1.68 illustrates this. Note that unlike cos x, cosh x is not a periodic function. At x = 0, cosh x = 1. The curve is symmetrical about the y-axis, i.e. cosh (−x) = cosh x and is termed an even function.
To obtain the graph of sinh x from those of ex and e−x, at a particular value of x we subtract the second from the first and then take half the resulting value. Figure 1.69 illustrates this. Note that unlike sin x, sinh x is not a periodic function. When x = 0, sinh x = 0. The curve is symmetrical about the origin, i.e. sinh(−x) = −sinh x, and is said to be an odd function.
Figure 1.70 shows the graph of tanh x, obtained by taking values of ex and e−x and calculating values of tanh x for particular values of x. Unlike tan x, tanh x is not periodic. When x = 0, tanh x = 0. All the values of tanh x lie between −1 and +1. As x tends to infinity, tanh x tends to 1. As x tends to minus infinity, tanh x tends to −1. The curve is symmetrical about the origin, i.e. tanh(−x) = −tanh x, and is said to be an odd function.
1. Determine, using a calculator, the values of (a) sinh 2, (b) cosh 5, (c) tanh 2, (d) sinh(−2), (e) cosech 1.4, (0 sech 0.8.
2. A flexible cable suspended between two horizontal points hangs in the form of a catenary (Figure 1.72), the equation of the curve being given by y = c[cosh(x/c) − 1], where y is the sag of the cable, x the horizontal distance from the midpoint to one end of the cable and c is a constant. Determine the sag of a cable when c = 20 and 2x = 16 m.
Figure 1.72 Problem 2
3. The speed v of a surface wave on a liquid is given by:
where g is the acceleration due to gravity, λ the wavelength of the waves, γ the surface tension, ρ the density and h the depth of the water. What will the speed approximately be for (a) shallow water waves when h/k tends to zero, (b) deep water waves when h/k tends to infinity?
3.16.67.54