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ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter
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ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Mar 31, 2015

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Page 1: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

ACS123Functions

Dr Viktor Fedun

Automatic Control and Systems Engineering, C09

Based on lectures by Dr Anthony Rossiter

Page 2: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Why is mathematics important?

Why do engineers need to be good at mathematics?

Is it sufficient to memorise key results?

Just because a learning technique worked at school, does that make it the best method now?

What mathematics do I need to be good at?

Page 3: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Mathematics is a tool-kit

A good engineer:

1. knows which is the best tool to use?

2. Is proficient in using the tool?

3. Can adapt the tool to a new use.

It is not good enough to memorise key results as the most important skill is abstraction. You must put your effort into understanding.

Page 4: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Module assessment

• 3 in class tests in weeks 4, 7, 11, 13

These will be similar to exam questions.• An exam in May or June

If you want feedback on an answer you have done, ask in a tutorial.

20 credit module, similar pattern in semester 2.

Page 5: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Module organisation

I will teach the first semester

Lectures and tutorials

Of the 5 timetabled hours, 2-3 will be used for lectures (these times may vary each week).

Page 6: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

MOLE

Please use the discussions board to ask questions. Then everyone can see the question and answer.

I will not respond to email queries unless of a personal or private nature.

Page 7: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Resources

Learning is only effective where students engage in self-discovery.

1. What you hear, you will usually forget.2. You only really understand something when

you use it.3. We will provide ample materials, but YOU will

only learn if you use these properly. [5-6 hours per week]

Lecturers are here to guide – NOT TO TEACH! We will answer queries and be as helpful as possible, but only you can do the work.

Page 8: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Be a function

Stand up. 1. Use your arms to illustrate y=x.2. What about y=-x?3. Can you do y=x2, or even x3.4. What about sine(x) – you may need a

partner. Now do cosine(x).5. Can you y=mod(x)? Or even y=sqrt(x2)?6. Can you think of any more?

Page 9: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Common functions

1. sine, cosine, tangent (and their inverses)

2. logarithm, exponential

3. sinh and cosh

4. straightline, quadratic, general polynomial

5. combinations of above as products, composites and fractions.

You should be familiar with shapes of common functions and be able to sketch quickly.

Page 10: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 1 (Page 136, Kuldeep and Singh, Example 3)

[Mechanics]

The displacement, φ(t), of a particle at time t is given by:

φ(t)= 2t3 + t2 - 10t + 10

– Evaluate φ(2), φ(3), φ(5).– Find simplified expressions for:

(i) φ(t2)

(ii) φ(t + 1)

Page 11: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 1 Solution

Solution:

(a) We have

(a)φ(2) = (2 x 23) + 22 – (10 x 2) + 10 = 10

(a)φ(3) = (2 x 33) + 32 – (10 x 3) + 10 = 43

(b)φ(5) = (2 x 53) + 52 – (10 x 5) + 10 = 235

Page 12: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 1 Solution

(b) (i) For φ(t2) we replace the t with t2 in φ(t)= 2t3 +

t2 - 10t + 10:

φ(t2) = 2(t2)3 + (t2)2 – 10(t2) + 10

= 2t6 + t4 – 10t2 + 10

(ii) For φ(t + 1) we replace t with t+1 in φ(t)= 2t3 + t2 - 10t + 10:

φ(t+1)= 2(t+1)3 + (t+1)2 – 10(t+1) + 10:

Page 13: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

What is a function?

1. A rule which translates an input, usually to a single output.

2. What are the functions for:i. Double the input

ii. Shift the input by 3

iii. Cube the input and subtract 1.

3. Write down in words the functions for

2)1(;4;25 xyxyxy

Page 14: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

What variables can a function have?

What is the difference between the functions f(x), g(w), h(y) and k(x)

A function describes a relationship, the variable names are unimportant.

Engineers typically use variable names that relate to the topic: W for weight, h for height, L for length, etc.

22 )2()()2()(

)sin()()sin()(

xxkwyyhx

wwgzxxfy

Page 15: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

What is a function argument?

The part that appears in the brackets;

• For y=f(x), x is the argument.

• For z=g(w), w is the argument.

Thus argument is another word for the input to the function.

Independent and dependent variables: what do you think these are? Use common sense.

Page 16: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Composition of functions

What do the following statements mean?

;3)()));(((

)sin()(;)());((

)sin()(;)());((2

2

xxhzfghw

xxgxxfxfgy

xxgxxfxgfy

Page 17: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Evaluate the following

Find y when x=pi/2.

Find w when z=1.

;3)()));(((

)sin()(;)());(( 2

xxhzfghw

xxgxxfxgfy

Page 18: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Function products

Evaluate A given that:A = y2h with x=2 and z=3

Write down a detailed function expression to express A.

;3)()));(((

)sin()(;)());(( 2

xxhzfghw

xxgxxfxgfy

Page 19: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 2 (Page 152 Kuldeep Singh, Example 16)

[Reliability Engineering]The failure density function, f(t), for a component is given by:

f(t) = 1/8 where 0 < t < 8 years.

Find F(t), R(t) and h(t) where these are defined as:F(t) = tf(t) (Failure Distribution function)R(t) = 1-F(t) (Reliability function)h(t) = f(t) / R(t) (hazard Rate function)

and 0 < t < 8 years.

Page 20: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 2 (Page 152 Example 16)

SolutionWe have:

F(t) = tf(t) = t(1/8) = t/8.

R(t) = 1-F(t) = 1- t/8

h(t) = f(t) / R(t) = (1/8)/(1-t/8)

= 1/(8-t)

Page 21: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Graphs and sketching

By first producing a suitable table, sketch the graphs of the following functions in the domain -3 to 3.

)tan(

)2)(1(

)2

sin(

2)sin(

xy

xxy

xy

xy

Domain is the

values allowed to the argument or independent variable.

Range is the values the output (dependent variable) can take. What is the range of these?

Page 22: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 3 (Page 110 Example 7)

[Fluid Mechanics]

The streamlines of fluid flow are given by:

y = x2 + c

where c is constant.

Sketch the streamlines for c = 0, -1 ,1, -2, 2, -3 and 3.

Page 23: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 3 (Page 110 Example 7)

Solution

The graphs of y = x2 + c for c = 0, -1 ,1, -2, 2, -3 and 3 are:

(c=0) y = x2 (c=-1) y = x2 - 1 (c=1) y = x2 + 1(c=-2) y = x2 -2(c=2) y = x2 +2(c=-3) y = x2 – 3(c=3) y = x2 + 3

Page 24: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

y

x

-3-2-10

123

c = -3

c = -2c = -1c = 0c = 1c = 2c = 3

-1-2 1 2

Notice how the graph of y=x2 + c varies as c changes. The c is where the curve cuts the y axis.

Page 25: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionmean that all we’ve done is made a switch in

emphasis

Page 26: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionmean that all we’ve done is made a switch in

emphasis

7 – 4 = 3 3 + 4 = 7

Page 27: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionmean that all we’ve done is made a switch in

emphasis

7 – 4 = 3 3 + 4 = 7

Both of this statements say the same thing, but with a change in emphasis

Page 28: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionmean that all we’ve done is made a switch in

emphasis

7 – 4 = 3 3 + 4 = 7

Both of this statements say the same thing, but with a change in emphasis

Page 29: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionmean that all we’ve done is made a switch in

emphasis

7 – 4 = 3 3 + 4 = 7

Both of this statements say the same thing, but with a change in emphasis

-1

Page 30: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

y=2x-7; y=f(x)=2x-7

Page 31: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

y=2x-7; y=f(x)=2x-7

Identity function

Page 32: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

y=2x-7; y=f(x)=2x-7

Identity function

If and inverse function

Page 33: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

y=2x-7; y=f(x)=2x-7

Identity function

If and inverse function

Composition of functions

Page 34: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse function

A function f and its inverse f . Because f maps 1 to 4,

the inverse f  maps 4 back to 1.

-1

-1

-1 f f

Page 35: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

One to one function

For every value of x, there is a distinct value of y and for every value of y there is a distinct value of x.

Which of the following is one to one?

)sin(

13

242

xy

eyxxy

xy

x

Draw the graph and it should be obvious.

Page 36: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse function

What about?

3

223

)(sin)sin( 1

yxxy

yxxy

)(cos)sin( 12 xxxy

Proof

Page 37: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

Page 38: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Inverse functionexample

Sometimes the inverse of a function cannot be expressed by a formula

with a finite number of terms. For example, if f is the function

then f is one-to-one, and therefore possesses an inverse function f . The formula for this inverse has an infinite number of terms:

-1

Page 40: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Many-to-one and one-to-many

Give some examples of many-to-one and one-to-many functions.

The logic goes from independent variable to dependent variable.

Page 41: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Notation

Get into groups and decide three example functions with the following properties [3 for each item].

1. Continuous

2. Discontinuous

3. Periodic (Why are these important?)

4. Odd

5. Even

Page 42: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.
Page 43: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Odd Even

Page 44: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Summary

Independent variable (domain)Dependent variable (range)FunctionMany-to-one (one-to-one,…)Odd, even, periodicInverse functionContinuous/discontinuousComposite functionStraight lines

Page 45: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential functions

On some rough paper, do a sketch of the following functions.

In what sense are the functions equivalent?

23

2

1

5

3

2

x

x

x

y

y

y

With a suitable rescaling of x, they are all the same shape.

Functions of this form are called exponentials.

Page 46: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

-2 -1.5 -1 -0.5 0 0.5 1 1.5 20

1

2

3

4

5

6

7

8

9

y1

y2y3

Page 47: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential properties

If you double the value of the independent variable, you square the value of the dependent variable.

There is a constant ratio which depends solely on the difference of the argument:

3

2

)]([)3(

)]([)2(

xfxf

xfxf

)]([)(

)(xbaf

bxf

axf

For all x!

Page 48: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential properties

Page 49: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential properties

Exponentiation is not commutative

4 + 5 = 5 + 4 4 * 5 = 5 * 4 but 4 = 55 4

256 = 625

Page 50: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential properties

Exponentiation is not commutative

4 + 5 = 5 + 4 4 * 5 = 5 * 4

but

4 = 55 4

256 = 625Exponentiation is not associative

(2 + 3) + 4 = 2 + (3 + 4) (2 * 3) * 4 = 2 * (3 * 4)

but

2 = 40963( )

42 = 2.417.851.639.229.258.349.412.353

3( )4

Page 51: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential convention

1. When dealing with exponential functions it is usual to assume the same base – ALWAYS!

2. The assumed base is `e’.

3. It will become clearer later why `e’ is chosen because this makes a lot of common algebra much simpler.

4. `e’ is irrational, but has a value near 2.7

Page 52: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponential convention

1. When dealing with exponential functions it is usual to assume the same base – ALWAYS!

2. The assumed base is `e’.

3. It will become clearer later why `e’ is chosen because this makes a lot of common algebra much simpler.

4. `e’ is irrational, but has a value near 2.7and more precisely

Page 53: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Common exponential

The most common functions you will deal with are:

A positive exponent gives an increasing function with increasing argument.

A negative exponent gives a decreasing argument with exponent.

bt

at

x

x

ety

ety

xey

xey

)(

)(

)exp(

)exp(

Page 54: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

-1 -0.5 0 0.5 1 1.5 2 2.5 30.5

1

1.5

2

exp(0.2t)exp(-0.2t)

Page 55: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Exponentials and systems engineering

The behaviour of real systems is often described as an exponential decay.

1. Radioactivity follows a curve of the form.

2. An explosion might be an increasing function.

3. Many systems have dynamics with 2 exponentials.

ctehth )0()( btat BeAetz )(

atertr )0()(

If behaviour has a positive exponent – BEWARE!

Page 56: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Note

Logarithms and exponentials are inverse functions of one another.

1log

)(log3

log)(log)()exp()(

log

log

3

1

e

AeorAe

zwez

xxfxxf

yxey

e

AAe

ew

e

ex

e

Page 57: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Even/odd and hyperbolic Functions

Page 58: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Even functions

An even function is one whereby the vertical axis is equivalent to a mirror.

In mathematical terms, this means that

f(-x)=f(x)

Page 59: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Examples of even functions

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

x2-2cos(x)

sin(x)2

Notice symmetry about x=0

Page 60: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Odd functions

An odd function is one whereby the vertical axis reverses the value of the function.

In mathematical terms, this means that

f(-x)=-f(x)

Page 61: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Examples of odd functionsNotice asymmetry about x=0

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2-6

-4

-2

0

2

4

6

x3-2xsin(x)tan(x)

Page 62: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Constructing even and odd functions

Every function can be made up of even and odd functions. This can make some engineering problems easier to handle.

EVEN FUNCTIONS

f(x)=f(-x)

ODD FUNCTIONS

f(x)=-f(-x)

)]()([2

1)]()([

2

1)(

)]()([2

1)]()([

2

1)(

xfxfxfxfxf

xfxfxfxfxf

Page 63: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Constructing even and odd functions

EVEN ODD

EVEN FUNCTIONS

f(x)=f(-x)

ODD FUNCTIONS

f(x)=-f(-x)

)()]()([2

1)(

)()]()([2

1)(

)]()([2

1)]()([

2

1)(

xhxfxfxh

xgxfxfxg

xfxfxfxfxf

Page 64: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Construct even and odd functions to make up the following

wewwwg

zzh

xxxf

2tan)(

)3

sin()(

)cos(3)(

2

Page 65: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Construct even and odd functions to make up the following

22tan

22tan

sin3

coscos3

sin)3

sin(

3)cos()cos(3

22wwww

w eeww

eeeww

zzz

xxxx

)]()([2

1

)]()([2

1

xfxfODD

xfxfEVEN

USE

Page 66: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Simple rules

• EVEN*EVEN = EVEN

• ODD*ODD = EVEN

• EVEN*ODD=ODD

• EVEN+EVEN=EVEN

• ODD+ODD=ODD

• ODD+EVEN=NEITHER ODD NOR EVEN

Can you prove these?

Page 67: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Common even/odd functions

EVEN

cos

x2n

cosh

ODD

sin

x2n+1

tan

sinh

Today we focus on cosh and sinh

2sinh;

2cosh

xxxx eex

eex

Page 68: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Plots of cosh and sinh

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2-4

-3

-2

-1

0

1

2

3

4

cosh(x)sinh(x)

2sinh;

2cosh

xxxx eex

eex

Page 69: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Engineering examples of cosh and sinh

• Some examples taken from the following book:– “Engineering Mathematics through

Applications”• Kuldeep Singh

– Published by: Palgrave MacMillan– ISBN 0-333-92224-7

Page 70: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 1 (Page 251 Example 21)

[Electrical Principles]

A transmission line of length L has voltage V. At a distance x from the sending end, the voltage is given by:

VL = ½(V + IZ0)e-φx + ½(V - IZ0)eφx (*)

Where I is the current, Z0 is the characteristic impedance and φ is the propagation coefficient.

Page 71: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Show that at x = L:

VL = Vcosh(φL) - IZ0sinh(φL)

VL = ½(V + IZ0)e-φx + ½(V - IZ0)eφx (*)

Solution:

Putting x = L into (*) gives:

VL = ½(V + IZ0)e-φL + ½(V - IZ0)eφL

= V(e-φL + eφL)/2 + IZ0(e-φL - eφL)/2

= Vcosh(φL) + IZ0(e-φL - eφL)/2

so VL = Vcosh(φL) + IZ0sinh(φL)

Page 72: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Example 2 (Page 251 Example 22)

[Electronics]

In a semiconductor, a force, F, exerted on an electron is given by:

F = Qcke-kx/(1+e-kx)2 (*)

Where c and k are constants, x is the distance from the pn junction and Q is the charge.

Show that

F = Qck/2[1+cosh(kx)]

Page 73: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Solution:

F = Qcke-kx/(1+e-kx)2 (*)

so F = Qcke-kx/(1 + 2e-kx + e-2kx) = Qcke-kx / e-kx (ekx + 2 + e-kx) = Qck /(ekx + 2 + e-kx) = Qck /(2 + ekx + e-kx) = Qck /(2 + 2(ekx + e-kx)/2) = Qck /(2 + 2cosh(kx))

hence F = Qck/2[1+cosh(kx)]

Show that F = Qck/2[1+cosh(kx)]

Page 74: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Solution to ODES

Where an ODE takes the form

The solution can be represented in two similar ways.

022

2

xadt

xd

atDatCxORBeAex atat sinhcosh;

Page 75: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Identities

You should be familiar with common identities using cosh and sinh.

Prove the following:

xxxxxxx

xyyxyxyxyxyx

xx

coshsinh22sinh1cosh2sinhcosh2cosh

coshsinhcoshsinh)sinh(sinhsinhcoshcosh)cosh(

1sinhcosh

222

22

Page 76: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Use of hyperbolic equations with parametric descriptions

Some simple curves lend themselves to parametric descriptions. Consider:

1. Circle

2. Ellipse

3. Hyperbola 222

22222

222

ryx

rybxa

ryx

Page 77: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

-2 -1.5 -1 -0.5 0 0.5 1 1.5 2-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

222 1 yx

22

2

2

2

16.02

yx

222 1 yx

Page 78: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Parametric descriptions

sin,cos1222 yxyx

sin6.0,cos216.02

22

2

2

2

yxyx

tytxyx sinh,cosh1222

ENGINEERING APPLICATION: Space orbits can be either elliptical or hyperbolic (often called a sling shot).

the sine and cosine functions give a parametric equation for the ellipse

the hyperbolic sine and hyperbolic cosine give a parametric equation for the hyperbola

Page 79: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Questions

1. Simplify the following expressions.

2. Find parametric expressions for x,y satisfying the following hyperbola.

)sinh()cosh(

)2sinh2(cosh2cosh3

2cosh4sinh5.0 2

yxyxh

fxxgx

xxf

2162 22 yx

Page 80: ACS123 Functions Dr Viktor Fedun Automatic Control and Systems Engineering, C09 Based on lectures by Dr Anthony Rossiter.

Link between cosine, sine, cosh and sinh

You may find the following useful.

ixee

xi

ixee

x

xixe

ixix

ixix

ix

sinh2

)sin(

cosh2

)cos(

sincos