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1. Top school in India
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2. Laplace Transform
BIOE 4200
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3. Why use Laplace Transforms?
Find solution to differential equation
using algebra
Relationship to Fourier Transform
allows easy way to characterize
systems
No need for convolution of input and
differential equation solution
Useful with multiple processes in
system
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4. How to use Laplace
Find differential equations that describe
system
Obtain Laplace transform
Perform algebra to solve for output or
variable of interest
Apply inverse transform to find solution
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5. What are Laplace transforms?
∫
∫
∞+σ
∞−σ
−
∞
−
π
==
==
j
j
st1
0
st
dse)s(F
j2
1
)}s(F{L)t(f
dte)t(f)}t(f{L)s(F
 t is real, s is complex!
 Inverse requires complex analysis to solve
 Note “transform”: f(t) → F(s), where t is integrated
and s is variable
 Conversely F(s) → f(t), t is variable and s is
integrated
 Assumes f(t) = 0 for all t < 0school.edhole.com

6. Evaluating F(s) = L{f(t)}
Hard Way – do the integral
∫
∫ ∫
∫
∞
−
∞ ∞
+−−−
−
∞
−
=
=
+
===
=
=−−==
=
0
st
0 0
t)as(stat
at
0
st
dt)tsin(e)s(F
tsin)t(f
as
1
dtedtee)s(F
e)t(f
s
1
)10(
s
1
dte)s(F
1)t(flet
let
let
Integrate by parts
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7. Evaluating F(s)=L{f(t)}- Hard Way
remember ∫ ∫−= vduuvudv
)tcos(v,dt)tsin(dv
dtsedu,eu stst
−==
−== −−
∫
∫ ∫
∞
−−
∞ ∞
−∞−−
−−
=−−=∴
0
stst
0 0
st
0
stst
dt)tcos(es)1(e
dt)tcos(es)tcos(e[dt)tsin(e ]
)tsin(v,dt)tcos(dv
dtsedu,eu stst
==
−== −−
∫∫
∫
∞
−−
∞
−∞−
∞
−
+−=+−
=∴
0
stst
0
st
0
st
0
st
dt)tsin(es)0(edt)tsin(es)tsin(e[
dt)tcos(e
]
2
0
st
0
st2
0 0
st2st
s1
1
dt)tsin(e
1dt)tsin(e)s1(
dt)tsin(es1dt)tsin(se
+
=
=+
=−=
∫
∫
∫ ∫
∞
−
∞
−
∞ ∞
−−
let
let
Substituting, we get:
It only gets worse…
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8. Evaluating F(s) = L{f(t)}
This is the easy way ...
Recognize a few different transforms
See table 2.3 on page 42 in textbook
Or see handout ....
Learn a few different properties
Do a little math
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9. Table of selected Laplace
Transforms
1s
1
)s(F)t(u)tsin()t(f
1s
s
)s(F)t(u)tcos()t(f
as
1
)s(F)t(ue)t(f
s
1
)s(F)t(u)t(f
2
2
at
+
=⇔=
+
=⇔=
+
=⇔=
=⇔=
−
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10. More transforms
1n
n
s
!n
)s(F)t(ut)t(f +
=⇔=
66
5
2
1
s
120
s
!5
)s(F)t(ut)t(f,5n
s
!1
)s(F)t(tu)t(f,1n
s
1
s
!0
)s(F)t(u)t(f,0n
==⇔==
=⇔==
==⇔==
1)s(F)t()t(f =⇔δ=
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11. Note on step functions in Laplace
∫
∞
−
=
0
st
dte)t(f)}t(f{L
0t,0)t(u
0t,1)t(u
<=
≥=
Unit step function definition:
Used in conjunction with f(t) → f(t)u(t)
because of Laplace integral limits:
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12. Properties of Laplace Transforms
Linearity
Scaling in time
Time shift
“frequency” or s-plane shift
Multiplication by tn
Integration
Differentiation
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13. Properties: Linearity
)s(Fc)s(Fc)}t(fc)t(fc{L 22112211 +=+
Example :
1s
1
)
1s
)1s()1s(
(
2
1
)
1s
1
1s
1
(
2
1
}e{L
2
1
}e{L
2
1
}e
2
1
e
2
1
{y
)}t{sinh(L
22
tt
tt
−
=
−
−−+
=
+
−
−
=−
=−
=
−
−
Proof :
)s(Fc)s(Fc
dte)t(fcdte)t(fc
dte)]t(fc)t(fc[
)}t(fc)t(fc{L
2211
0
st
22
0
st
11
st
22
0
11
2211
+
=+
=+
=+
∫∫
∫
∞
−
∞
−
−
∞
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14. )
a
s
(F
a
1
)}at(f{L =
Example :
22
22
2
2
s
)
s
(
1
)1
)s(
1
(
1
)}t{sin(L
ω+
ω
=
ω+
ω
ω
=+
ω
ω
ω Proof :
)
a
s
(F
a
1
due)u(f
a
1
du
a
1
dt,
a
u
t,atu
dte)at(f
)}at(f{L
a
0
u)
a
s
(
0
st
∫
∫
∞
−
∞
−
=
===
=
=
let
Properties: Scaling in Time
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15. Properties: Time Shift
)s(Fe)}tt(u)tt(f{L 0st
00
−
=−−
Example :
as
e
)}10t(ue{L
s10
)10t(a
+
=−
−
−−
Proof :
)s(Fedue)u(fe
due)u(f
tut,ttu
dte)tt(f
dte)tt(u)tt(f
)}tt(u)tt(f{L
00
0
0
0
st
0
sust
t
0
)tu(s
00
t
st
0
0
st
00
00
−
∞
−−
−∞
+−
∞
−
∞
−
∫
∫
∫
∫
=
=
+=−=
=−
=−−
=−−
let
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16. Properties: S-plane (frequency)
shift
)as(F)}t(fe{L at
+=−
Example :
22
at
)as(
)}tsin(e{L
ω++
ω
=ω− Proof :
)as(F
dte)t(f
dte)t(fe
)}t(fe{L
0
t)as(
0
stat
at
+
=
=
=
∫
∫
∞
+−
∞
−−
−
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17. Properties: Multiplication by tn
)s(F
ds
d
)1()}t(ft{L n
n
nn
−=
Example :
1n
n
n
n
n
s
!n
)
s
1
(
ds
d
)1(
)}t(ut{L
+
=−
=
Proof :
)s(F
s
)1(dte)t(f
s
)1(
dte
s
)t(f)1(
dtet)t(f
dte)t(ft)}t(ft{L
n
n
n
0
st
n
n
n
0
st
n
n
n
0
stn
0
stnn
∂
∂
−=
∂
∂
−
=
∂
∂
−
=
==
∫
∫
∫
∫
∞
−
∞
−
∞
−
∞
−
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18. The “D” Operator
1. Differentiation shorthand
2. Integration shorthand
)t(f
dt
d
)t(fD
dt
)t(df
)t(Df
2
2
2
=
=
)t(f)t(Dg
dt)t(f)t(g
t
=
= ∫∞−
)t(fD)t(g
dt)t(f)t(g
1
a
t
a
−
=
= ∫if
then then
if
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19. Properties: Integrals
s
)s(F
)}t(fD{L 1
0 =−
Example :
)}t{sin(L
1s
1
)
1s
s
)(
s
1
(
)}tcos(D{L
22
1
0
+
=
+
=−
Proof :
let
stst
0
st
1
0
e
s
1
v,dtedv
dt)t(fdu),t(gu
dte)t(g)}t{sin(L
)t(fD)t(g
−−
∞
−
−
−==
==
=
=
∫
∫
∫
=
=+−= −∞−
t
0
st
0
st
dt)t(f)t(g
s
)s(F
dte)t(f
s
1
]e)t(g
s
1
[
∫
∞
−
∞<⇒∞=
0
)()( dtetft st
If t=0, g(t)=0
for so
slower than∫
∞
∞→=
0
)()( tgdttf 0→−st
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20. Properties: Derivatives
(this is the big one)
)0(f)s(sF)}t(Df{L +
−=
Example :
)}tsin({L
1s
1
1s
)1s(s
1
1s
s
)0(f
1s
s
)}tcos(D{L
2
2
22
2
2
2
2
−=
+
−
+
+−
=−
+
=−
+
=
+
Proof :
)s(sF)0(f
dte)t(fs)]t(fe[
)t(fv,dt)t(f
dt
d
dv
sedu,eu
dte)t(f
dt
d
)}t(Df{L
0
st
0
st
stst
0
st
+−
=+
==
−==
=
+
∞
−∞−
−−
∞
−
∫
∫
let
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21. Difference in
The values are only different if f(t) is not
continuous @ t=0
Example of discontinuous function: u(t)
)0(f&)0(f),0(f −+
1)0(u)0(f
1)t(ulim)0(f
0)t(ulim)0(f
0t
0t
==
==
==
+
−
→
+
→
−
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22. ?)}t(fD{L 2
=
)0('f)0(sF)s(Fs)0('f))0(f)s(sF(s
)0('f)}t(Df{sL)0(g)s(sG)}t(gD{L
)0('f)0(Df)0(g),t(Df)t(g
2
2
−−=−−=
−=−==
===let
)0(f)0(sf)0('fs)0(fs)s(Fs)}t(fD{L )'1n()'2n()2n()1n(nn −−−−
−−−−−= 
NOTE: to take
you need the value @ t=0 for
called initial conditions!
We will use this to solve differential equations!
→−−
)t(f),t(Df),...t(fD),t(fD 2n1n
)}t(fD{L n
Properties: Nth order derivatives
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23. Properties: Nth order derivatives
)0(f)s(sF)}t(Df{L −=
)}t(fD{L 2
)0(f)s(sF)}t(Df{L)}t(g{L)s(G
)0('f)0(g
)t(Df)t(g
)0(g)s(sG)}t(Dg{L
)t(fD)t(Dgand)t(Df)t(g 2
−===
=∴
=
−=
==
)0('f)0(sf)s(Fs)0('f)]0(f)s(sF[s)0(g)s(sG)}t(Dg{L 2
−−=−−=−=∴
.etc),t(fD),t(fD 43
Start with
Now apply again
let
then
remember
Can repeat for
)0(f)0(sf)0('fs)0(fs)s(Fs)}t(fD{L )'1n()'2n()2n()1n(nn −−−−
−−−−−= 
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24. Relevant Book Sections
Modeling - 2.2
Linear Systems - 2.3, page 38 only
Laplace - 2.4
Transfer functions – 2.5 thru ex 2.4
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