The derivative
description
Transcript of The derivative
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The derivative
Lecture 5Handling a changing world
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x2-x1
y2-y1
The derivative
x2-x1
y2-y1
xy
xxyyslope
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12
xxfxxf
xxxfxfslope
)()()()( 11
12
12
x1 x2
y1
y2
xxfxxfslope x
)()(lim 0
xxfxxfyxf
dxdy
x
)()(lim)(' 0
The derivative describes the change in the slope of functions
Aryabhata (476-550)
Bhaskara II (1114-1185)
The first Indian satellite
-10
-5
0
5
10
-4 -2 0 2 4
YX
)()()( ufbudxxdfbauuy
u
0)2(2
2)2(
bdxxdf
bay
( * ) ' '* * 'f g f g f g ( ( )) ' '* 'f g f g
( ) ' ' '( ) ' ' 'f g f gf g f g
'
2
'* * 'f f g f gg g
Four basic rules to calculate derivatives
b
Local minimum
0)( dxxdf Stationary point,
point of equilibrium)(')()( cf
abafbf
Mean value theorem
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1
2
3
0 5 10 15 20
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0510152025303540
0 5 10 15 20
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y=30-10
x=15-5
25101030lim 0
xy
dxdy
x
The derivative of a linear function y=ax equals its slope a
xy 2
y=0
0lim 0 xy
dxdy
x
The derivative of a constant y=b is always zero. A constant doesn’t change.
2y
aybaxy '
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5
10
15
20
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30
0 1 2 3 4
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xx edxdyey
dy
dx
xeydxdy
The importance of e
ax
x exa
1lim
ex
x
x
11lim
)ln(xy
xedxdye
dydx
dydxdxdy
exxy
yy
y
11/1)ln(
-2
-1
0
1
2
3
4
0 1 2 3 4
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X
)ln(xy xy 1
1)ln()ln()ln()ln(
)ln()ln(
)1)ln(00())'ln()(ln(''
bbxbaxbau
uxbab
abxxbax
xbxexbaeuey
eeaxy
baxy
xxxxu
ubxax
bbababxbabbxaabuey
eeaby
)ln()ln()0)ln(10())'ln()(ln(''
)ln()ln(
xaby
xxx
xxxxxxy
xxxxy
xx
x
)sin(lim)cos()sin()sin()cos()cos()sin(lim'
)sin()sin(lim'
00
0
)sin(xy
)cos()(sin'1)sin(lim 0 xxxx
x
)sin()(cos' xx
0
5
10
15
20
25
30
-2 -1 0 1 2 3 4 5
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-25
-20
-15
-10
-5
0
5
-2 -1 0 1 2 3 4 5
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-20-15-10-505101520
-2 -1 0 1 2 3 4 5Y
X
Stationary points
Minimum MaximumHow to find minima and maxima of functions?
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5
10
15
20
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30
-2 -1 0 1 2 3 4 5
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f’<0 f’>0 f’<0f’=0
f’=0
f(x)
f’(x)
f’’(x)
86''283'
10242
23
xyxxy
xxxy
387.2;279.0910
342830' 212,1
2 xxxxxy
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-2 -1 0 1 2 3 4 5
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Maximum and minimum change
Point of maximum changePoint of inflection
f’=0
f’=0
Positive sense
Negative sense
At the point of inflection the first derivative has a maximum or minimum.To find the point of inflection the second derivative has to be zero.
34860''
86''283'
10242
23
xxy
xyxxy
xxxy
4/3
Series expansions
)(),(0
xfixgn
i
xxaaxaxaxaxan
n
1)1(...1
32
Geometric series
We try to expand a function into an arithmetic series. We need the coefficients ai.
......)( 44
33
2210 n
nxaxaxaxaxaaxf
333
433
2222
4322
1113
42
3211
0
32)0(...)1)(2(...43232)(
2)0(...)1(...43322)(
)0(......432)(
)0(
afxnannxaaxf
afxnanxaxaaxf
afxnaxaxaxaaxf
af
nn
nn
nn
i
i
in
n
xifx
nfxfxfxfxffxf
0
44
33
22
1
!)0(...
!)0(...
!4)0(
!3)0(
!2)0()0()0()(
McLaurin series
...)(...)()()()()( 44
33
2210 n
n bxabxabxabxabxaaxf
333
433
2222
4322
1113
42
3211
0
32)(...)()1)(2(...)(43232)(
2)(...)()1(...)(43)(322)(
)(...)(...)(4)(3)(2)(
)(
abfbxnannbxaabf
abfbxnanbxabxaabf
abfbxnabxabxabxaabf
abf
nn
nn
nn
i
i
in
n
bxibfbx
nnfbxbfbxbfbfxf )(
!)(...)(
!)(...)(
!2)())(()()(
1
22
1
Taylor series
00
04
03
02
000
!1
!...
!...
!4!3!2 i
i
i
nx
ie
ixx
nexexexexeee
iin
i
nnnnn xaninxannnxannxnaaxa
0
33221
)!1(!!...
!3)2)(1(
!2)1()(
Binomial expansion
iin
i
n xain
xa
0
)( Pascal (binomial) coefficients
in
Series expansions are used to numerically compute otherwise intractable functions.
xy sin
i
i
in
n
xifx
nfxfxfxfxffxf
0
44
33
22
1
!)0(...
!)0(...
!4)0(
!3)0(
!2)0()0()0()(
....!7!5!3
...!4)0sin(
!3)0cos(
!2)0sin()0cos()0sin()sin(
753432 xxxxxxxxx
Fast convergence
Degrees Radians Sin 1 2 3 4 5 Sum30 0.523599 0.5 0.523599 -0.02392 0.000328 -2.14072E-06 1.55678E-08 0.545 0.785398 0.70711 0.785398 -0.08075 0.00249 -3.65762E-05 3.98984E-07 0.7071160 1.047198 0.86603 1.047198 -0.1914 0.010495 -0.000274012 3.98534E-06 0.8660390 1.570796 1 1.570796 -0.64596 0.079693 -0.004681754 0.00010214 0.99995
Summands
1
15432
)1(...5432
)1ln(i
ii
ixxxxxxx
Taylor series expansion of logarithms
In the natural sciences and maths angles are always given in radians!
Very slow convergence
Sums of infinities
xxfxxfyxf
dxdy
x
)()(lim)(' 0
The antiderivative or indefinite integral
)(')( xfdxxdf
dxxfxF )()(
Cxdxx
Cxdxx
Caa
dxa
Cxa
dxx
Cxdxx
Cea
dxe
Caxdxa
xx
aa
axax
)sin()cos(
)cos()sin(
)ln(111
ln1
1
1
dxxgdxxfdxxgxf
dxxfadxxaf
)()()()(
)()(
Integration has an unlimited number of solutions. These are described by the integration constant
dxxdf
dxdC
dxxdf
dxCxfd )()())((
0 1000N
Assume Escherichia coli divides every 20 min. What is the change per hour?
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2
3
1000*2*2*21000*2*2*2*2*2*2
1000*2 tt
NN
N
3 30 1 0 0
3 3 3 31 2 1 1
3 3( 1) 31 1 1
1000*2 1000 (2 1)
1000*2 *2 1000*2 (2 1)
1000*2 1000*2 (2 1)t tt t t t
N N N N
N N N N
N N N N
How does a population of bacteria change in time?
11 ttt rNNNNFirst order recursive function1
trNtN
Difference equation
rNdtdN
tN
t
0lim
Differential equations contain the function and some of it’s derivatives
rtrtC KeeeN
CrtCN
rdtNdN
rdtNdNrN
dtdN
21)ln(
rt
r
eNN
KKeNt
0
000
Any process where the change in time is proportional to the actual value can be described by an exponential function.
Examples: Radioactive decay, unbounded population growth,First order chemical reactions, mutations of genes,speciation processes, many biological chance processes
Allometric growth
In many biological systems is growth proportional to actual values.
A population of Escherichia coli of size 1 000 000 growths twofold in 20 min. A population of size 1000 growths equally fast.
2000100020000001000000
10
10
PPNN
100020000001000000 1
PNN
PP
NN
PPz
NN
PdPz
NdN
1)ln()ln( cPzNPdPz
NdN
zzc cPPeN 1
Proportional growth results in allometric (power function) relationships.
Relative growth rate
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100
0 2 4 6 8 10
N
t
The unbounded bacterial growth process
2ln002tt eNNN
How much energy is necessary to produce a given number of bacteria? Energy use is proportional to the total amount of bacteria produced during the growth process
8
20
8
2
2t
t
tt
tt NN
What is if the time intervals get smaller and smaller?
Gottfried Wilhelm Leibniz (1646-1716)
Archimedes (c. 287 BC – 212 BC)
Sir Isaac Newton (1643-1727)
The Fields medal
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40
60
80
100
0 2 4 6 8 10
N
t
2ln002tt eNNN
tf(t)
bt
at
bt
att ttfN )(
The area under the function f(x)
ttftFttF
tft
tFttF
tfdtdF
t
t
)()()(lim
)()()(lim
)(
0
0
bt
at
bt
att
bt
att
bt
att tFttFtFttFN )()(lim)]()([lim 00
0
20
40
60
80
100
0 2 4 6 8 10N
t
2ln002tt eNNN
tf(x)
)1())1((
))(())1((...)3()4()2()3()1()2(
)()(lim 0
recFnrecFN
nrecFnrecFrecFrecFrecFrecFrecFrectFN
tFttFN
bt
att
bt
att
bt
at
bt
att
bt
att
b
a
bt
atit
bt
atit
dttfdtafdtbfN
aFbFN
)()()(lim
)()(lim
0
0
bt
at
bt
att ttfN )(
b
a
bt
att dttfttfArea )()(lim 0
Definite integral
)()()( aFbFFdttfArea b
a
b
a
0
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60
80
100
0 2 4 6 8 10N
t
2ln002tt eNNN
tf(x)
0000
8
20
8
20 559.363
2ln252
2ln4
2ln256
2ln22 NNNNNNNt
ttotal
What is the area under the sine curve from 0 to 2p?
011)0cos()2cos()cos()sin( 2
0
2
0
ppp
xdxxA
4)0cos(4)2/cos(4)cos(4)sin(4 2/
0
2/
0
ppp
xdxxA
0
20
40
60
80
100
0 2 4 6 8 10N
t
a
b
What is the length of the curve from a to b?
dxdxdydcL
dxdxdy
dxdxdydxdydxdc dydxdydxdydxdc
2
2
0,2
222
0,22
0,0
1
1lim)(lim)(limlim
What is the length of the function y = sin(x) from x = 0 to x = 2p?
p2
0
2)cos(1 dxxL
c
x
y
2)cos(1 xLNo simple analytical solution
22016011
248262)cos(1
7532 xxxxdxx
625526.7
]22580480
11215362482
2[4)cos(147532/
0
2
ppppp
dxx
We use Taylor expansions for numerical calculations of definite integrals.
Taylor approximations are generally better for smaller values of x.
1 2.2214412 -0.456773 0.1408784 0.000828
Sum 1.9063814 times 7.625526
What is the volume of a rotation body?
y y
x
x
b
a
b
adx dxxfdxxfV 22
0 )()(lim pp
)(
)(
22
1
)(bfy
afy
dyygV p
What is the volume of the body generated by the rotation of y = x2 from x = 1 to x = 2
44 2
2
11
7.5 23.562
V y dy ypp p
What is the volume of sphere?
34
322)
3(22
33
0
32
0
222 rrxxrdxxrVrr pppp
y
x