Applied Mathematics/Laplace Transforms: Difference between revisions

From testwiki
Jump to navigation Jump to search
imported>Lightzar917
mNo edit summary
 
(No difference)

Latest revision as of 16:48, 1 September 2023

The Laplace transform is an integral transform which is widely used in physics and engineering.

Laplace Transforms involve a technique to change an expression into another form that is easier to work with using an improper integral. We usually introduce Laplace Transforms in the context of differential equations, since we use them a lot to solve some differential equations that can't be solved using other standard techniques. However, Laplace Transforms require only improper integration techniques to use. So you may run across them in first year calculus.

Notation: The Laplace Transform is denoted as {f(t)}.

The Laplace transform is named after mathematician and astronomer Pierre-Simon Laplace.

Definition

For a function f(t), using Napier's constant e and a complex number s, the Laplace transform F(s) is defined as follows:

F(s)={f(t)}(s)=0estf(t)dt

The parameter s is a complex number.

s=σ+iω, with real numbers σ and ω.

This F(s) is the Laplace transform of f(t).

Explanation

Here is what is going on.

Examples of Laplace transform

Examples of Laplace transform
f(t) F(s)={f(t)}
C Cs
t 1s2
tn n!sn+1
tn1(n1)! 1sn
eat 1sa
eat 1s+a
cos ωt ss2+ω2
sin ωt ωs2+ω2
tn1Γ(n) 1sn (n>0)
δ(ta) eas
H(ta) eass

In the above table,

  1. C and a are constants
  2. n is a natural number
  3. δ(ta) is the Delta function
  4. H(ta) is the Heaviside function


ID Function Time domain
x(t)=1{X(s)}
Laplace domain
X(s)={x(t)}
Region of convergence
for causal systems
1 Ideal delay δ(tτ)  eτs 
1a Unit impulse δ(t)  1  all s
2 Delayed nth power with frequency shift (tτ)nn!eα(tτ)u(tτ) eτs(s+α)n+1 s>0
2a nth Power tnn!u(t) 1sn+1 s>0
2a.1 qth Power tqΓ(q+1)u(t) 1sq+1 s>0
2a.2 Unit step u(t)  1s s>0
2b Delayed unit step u(tτ)  eτss s>0
2c Ramp tu(t)  1s2 s>0
2d nth Power with frequency shift tnn!eαtu(t) 1(s+α)n+1 s>α
2d.1 Exponential decay eαtu(t)  1s+α s>α 
3 Exponential approach (1eαt)u(t)  αs(s+α) s>0 
4 Sine sin(ωt)u(t)  ωs2+ω2 s>0 
5 Cosine cos(ωt)u(t)  ss2+ω2 s>0 
6 Hyperbolic sine sinh(αt)u(t)  αs2α2 s>|α| 
7 Hyperbolic cosine cosh(αt)u(t)  ss2α2 s>|α| 
8 Exponentially-decaying sine eαtsin(ωt)u(t)  ω(s+α)2+ω2 s>α 
9 Exponentially-decaying cosine eαtcos(ωt)u(t)  s+α(s+α)2+ω2 s>α 
10 nth Root tnu(t) s(n+1)/nΓ(1+1n) s>0
11 Natural logarithm ln(tt0)u(t) t0s [ ln(t0s)+γ ] s>0
12 Bessel function
of the first kind, of order n
Jn(ωt)u(t) ωn(s+s2+ω2)ns2+ω2 s>0
(n>1)
13 Modified Bessel function
of the first kind, of order n
In(ωt)u(t) ωn(s+s2ω2)ns2ω2 s>|ω|
14 Bessel function
of the second kind, of order 0
Y0(αt)u(t)    
15 Modified Bessel function
of the second kind, of order 0
K0(αt)u(t)    
16 Error function erf(t)u(t) es2/4erfc(s/2)s s>0
17 Constant C Cs
Explanatory notes:

Template:Col-begin Template:Col-break

  • u(t) represents the Heaviside step function.
  • δ(t) represents the Dirac delta function.
  • Γ(z) represents the Gamma function.
  • γ is the Euler-Mascheroni constant.

Template:Col-break

  • t, a real number, typically represents time,
    although it can represent any independent dimension.
  • s is the complex angular frequency.
  • α, β, τ, ω and C are real numbers.
  • nis an integer.

Template:Col-end

  • A causal system is a system where the impulse response h(t) is zero for all time t prior to t = 0. In general, the ROC for causal systems is not the same as the ROC for anticausal systems. See also causality.


Examples

1. Calculate {C} (where C is a constant) using the integral definition.

0estCdt=C0estdt=Climb0bestdt=Climbests|t=0t=b=Cs[limbebse0]=Cs[01]=Cs

{C}=Cs


2. Calculate {eat} using the integral definition.

0esteatdt=0e(s+a)tdt=limb0be(s+a)tdt=limb[e(s+a)ts+a]t=0t=b=limb[e(s+a)bs+ae(s+a)0s+a]=1s+a

{eat}=1s+a

Template:BookCat