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Laplace 
Transform 
ELECTRICAL A
History of the Transform 
 Euler began looking at integrals as solutions to differential equations in the mid 
1700’s: 
 Lagrange took this a step further while working on probability density functions 
and looked at forms of the following equation: 
 Finally, in 1785, Laplace began using a transformation to solve equations of finite 
differences which eventually lead to the current transform
Definition 
 The Laplace transform is a linear operator that switched a function f(t) to 
F(s). 
 Specifically: 
where: 
 Go from time argument with real input to a complex angular frequency input 
which is complex.
Restrictions 
 There are two governing factors that determine whether Laplace transforms 
can be used: 
 f(t) must be at least piecewise continuous for t ≥ 0 
 |f(t)| ≤ Meγt where M and γ are constants
Continuity 
 Since the general form of the Laplace transform is: 
it makes sense that f(t) must be at least piecewise continuous for t ≥ 0. 
 If f(t) were very nasty, the integral would not be computable.
Laplace Transform Theory 
•General Theory 
•Example 
•Convergence
Laplace Transforms 
•Some Laplace Transforms 
•Wide variety of function can be transformed 
•Inverse Transform 
•Often requires partial fractions or other manipulation 
to find a form that is easy to apply the inverse
Laplace Transform for ODEs 
•Equation with initial conditions 
•Laplace transform is linear 
•Apply derivative formula 
•Rearrange 
•Take the inverse
Laplace Transform in PDEs 
Laplace transform in two variables (always taken with respect to 
time variable, t): 
Inverse laplace of a 2 dimensional PDE: 
Can be used for any dimension PDE: 
The Transform reduces dimension by “1”: 
•ODEs reduce to algebraic equations 
•PDEs reduce to either an ODE (if original equation dimension 2) or another PDE (if original 
equation dimension >2)
Consider the case where: 
ux+ut=t with u(x,0)=0 and u(0,t)=t2 and 
Taking the Laplace of the initial equation leaves Ux+ U=1/s2 (note that the partials with respect to 
“x” do not disappear) with boundary condition U(0,s)=2/s3 
Solving this as an ODE of variable x, U(x,s)=c(s)e-x + 1/s2 
Plugging in B.C., 2/s3=c(s) + 1/s2 so c(s)=2/s3 - 1/s2 
U(x,s)=(2/s3 - 1/s2) e-x + 1/s2 
Now, we can use the inverse Laplace Transform with respect to s to find 
u(x,t)=t2e-x - te-x + t
Example Solutions
u Diffusion Equation t = kuxx in (0,l) 
Initial Conditions: 
u(0,t) = u(l,t) = 1, u(x,0) = 1 + sin(πx/l) 
Using af(t) + bg(t)  aF(s) + bG(s) 
and df/dt  sF(s) – f(0) 
and noting that the partials with respect to x commute with the transforms with respect to t, the Laplace transform U(x,s) satisfies 
sU(x,s) – u(x,0) = kUxx(x,s) 
With eat  1/(s-a) and a=0, 
the boundary conditions become U(0,s) = U(l,s) = 1/s. 
So we have an ODE in the variable x together with some boundary conditions. The solution is then: 
U(x,s) = 1/s + (1/(s+kπ2/l2))sin(πx/l) 
Therefore, when we invert the transform, using the Laplace table: 
u(x,t) = 1 + e-kπ2t/l2 
sin(πx/l)
Wave Equation utt = c2uxx in 0 < x < ∞ 
Initial Conditions: 
u(0,t) = f(t), u(x,0) = ut(x,0) = 0 
For x  ∞, we assume that u(x,t)  0. Because the initial conditions vanish, the Laplace transform satisfies 
s2U = c2Uxx 
U(0,s) = F(s) 
Solving this ODE, we get 
U(x,s) = a(s)e-sx/c + b(s)esx/c 
Where a(s) and b(s) are to be determined. 
From the assumed property of u, we expect that U(x,s)  0 as x  ∞. 
Therefore, b(s) = 0. Hence, U(x,s) = F(s) e-sx/c. Now we use 
H(t-b)f(t-b)  e-bsF(s) 
To get 
u(x,t) = H(t – x/c)f(t – x/c).
Real-Life Applications 
Semiconductor mobility 
Call completion in wireless 
networks 
Vehicle vibrations on 
compressed rails 
Behavior of magnetic and 
electric fields above the 
atmosphere
Ex. Semiconductor Mobility 
Motivation 
 semiconductors are commonly made with 
superlattices having layers of differing 
compositions 
 need to determine properties of carriers in each 
layer 
concentration of electrons and holes 
mobility of electrons and holes 
 conductivity tensor can be related to Laplace 
transform of electron and hole densities
Notation 
R = ratio of induced electric field to the product of the current 
density and the applied magnetic field 
ρ = electrical resistance 
H = magnetic field 
J = current density 
E = applied electric field 
n = concentration of electrons 
u = mobility
Equation Manipulation 
and
Assuming a continuous mobility distribution 
and that , 
, it follows:
Applying the Laplace Transform
Source 
Johnson, William B. Transform method for semiconductor 
mobility, Journal of Applied Physics 99 (2006).

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Laplace

  • 2. History of the Transform  Euler began looking at integrals as solutions to differential equations in the mid 1700’s:  Lagrange took this a step further while working on probability density functions and looked at forms of the following equation:  Finally, in 1785, Laplace began using a transformation to solve equations of finite differences which eventually lead to the current transform
  • 3. Definition  The Laplace transform is a linear operator that switched a function f(t) to F(s).  Specifically: where:  Go from time argument with real input to a complex angular frequency input which is complex.
  • 4. Restrictions  There are two governing factors that determine whether Laplace transforms can be used:  f(t) must be at least piecewise continuous for t ≥ 0  |f(t)| ≤ Meγt where M and γ are constants
  • 5. Continuity  Since the general form of the Laplace transform is: it makes sense that f(t) must be at least piecewise continuous for t ≥ 0.  If f(t) were very nasty, the integral would not be computable.
  • 6. Laplace Transform Theory •General Theory •Example •Convergence
  • 7. Laplace Transforms •Some Laplace Transforms •Wide variety of function can be transformed •Inverse Transform •Often requires partial fractions or other manipulation to find a form that is easy to apply the inverse
  • 8. Laplace Transform for ODEs •Equation with initial conditions •Laplace transform is linear •Apply derivative formula •Rearrange •Take the inverse
  • 9. Laplace Transform in PDEs Laplace transform in two variables (always taken with respect to time variable, t): Inverse laplace of a 2 dimensional PDE: Can be used for any dimension PDE: The Transform reduces dimension by “1”: •ODEs reduce to algebraic equations •PDEs reduce to either an ODE (if original equation dimension 2) or another PDE (if original equation dimension >2)
  • 10. Consider the case where: ux+ut=t with u(x,0)=0 and u(0,t)=t2 and Taking the Laplace of the initial equation leaves Ux+ U=1/s2 (note that the partials with respect to “x” do not disappear) with boundary condition U(0,s)=2/s3 Solving this as an ODE of variable x, U(x,s)=c(s)e-x + 1/s2 Plugging in B.C., 2/s3=c(s) + 1/s2 so c(s)=2/s3 - 1/s2 U(x,s)=(2/s3 - 1/s2) e-x + 1/s2 Now, we can use the inverse Laplace Transform with respect to s to find u(x,t)=t2e-x - te-x + t
  • 12. u Diffusion Equation t = kuxx in (0,l) Initial Conditions: u(0,t) = u(l,t) = 1, u(x,0) = 1 + sin(πx/l) Using af(t) + bg(t)  aF(s) + bG(s) and df/dt  sF(s) – f(0) and noting that the partials with respect to x commute with the transforms with respect to t, the Laplace transform U(x,s) satisfies sU(x,s) – u(x,0) = kUxx(x,s) With eat  1/(s-a) and a=0, the boundary conditions become U(0,s) = U(l,s) = 1/s. So we have an ODE in the variable x together with some boundary conditions. The solution is then: U(x,s) = 1/s + (1/(s+kπ2/l2))sin(πx/l) Therefore, when we invert the transform, using the Laplace table: u(x,t) = 1 + e-kπ2t/l2 sin(πx/l)
  • 13. Wave Equation utt = c2uxx in 0 < x < ∞ Initial Conditions: u(0,t) = f(t), u(x,0) = ut(x,0) = 0 For x  ∞, we assume that u(x,t)  0. Because the initial conditions vanish, the Laplace transform satisfies s2U = c2Uxx U(0,s) = F(s) Solving this ODE, we get U(x,s) = a(s)e-sx/c + b(s)esx/c Where a(s) and b(s) are to be determined. From the assumed property of u, we expect that U(x,s)  0 as x  ∞. Therefore, b(s) = 0. Hence, U(x,s) = F(s) e-sx/c. Now we use H(t-b)f(t-b)  e-bsF(s) To get u(x,t) = H(t – x/c)f(t – x/c).
  • 14. Real-Life Applications Semiconductor mobility Call completion in wireless networks Vehicle vibrations on compressed rails Behavior of magnetic and electric fields above the atmosphere
  • 15. Ex. Semiconductor Mobility Motivation  semiconductors are commonly made with superlattices having layers of differing compositions  need to determine properties of carriers in each layer concentration of electrons and holes mobility of electrons and holes  conductivity tensor can be related to Laplace transform of electron and hole densities
  • 16. Notation R = ratio of induced electric field to the product of the current density and the applied magnetic field ρ = electrical resistance H = magnetic field J = current density E = applied electric field n = concentration of electrons u = mobility
  • 18. Assuming a continuous mobility distribution and that , , it follows:
  • 19. Applying the Laplace Transform
  • 20. Source Johnson, William B. Transform method for semiconductor mobility, Journal of Applied Physics 99 (2006).

Editor's Notes

  1. Laplace also recognized that Joseph Fourier's method of Fourier series for solving the diffusion equation could only apply to a limited region of space as the solutions were periodic. In 1809, Laplace applied his transform to find solutions that diffused indefinitely in space