Laplace Transform Calculator

Understanding Laplace Transforms

What is a Laplace Transform?

The Laplace transform is an integral transform that converts a function of time (t) into a function of complex frequency (s):

F(s) = L{f(t)} = ∫₀^∞ f(t)e^(-st)dt

where:

  • f(t) is the original function in time domain
  • F(s) is the transformed function in s-domain
  • s is the complex frequency variable
  • e is the base of natural logarithm

Properties of Laplace Transform

Linearity

L{af(t) + bg(t)} = aL{f(t)} + bL{g(t)}

Time Shift

L{f(t-a)u(t-a)} = e^(-as)F(s)

Frequency Shift

L{e^(at)f(t)} = F(s-a)

Time Scaling

L{f(at)} = (1/a)F(s/a)

Differentiation

L{f'(t)} = sF(s) - f(0)

Integration

L{∫₀ᵗf(τ)dτ} = F(s)/s

Common Transform Pairs

Time Domain (f(t))

s-Domain (F(s))

1

1/s

t

1/s²

e^(at)

1/(s-a)

sin(ωt)

ω/(s²+ω²)

cos(ωt)

s/(s²+ω²)

t^n

n!/(s^(n+1))

Advanced Properties and Theorems

Convolution Theorem

L{f(t)*g(t)} = F(s)G(s)

where f(t)*g(t) = ∫₀ᵗf(τ)g(t-τ)dτ

Initial Value Theorem

lim[t→0] f(t) = lim[s→∞] sF(s)

Final Value Theorem

lim[t→∞] f(t) = lim[s→0] sF(s)

Periodic Function

For f(t) with period T:

L{f(t)} = (1/(1-e^(-sT))) ∫₀ᵀf(t)e^(-st)dt

Complex Analysis in Laplace Transforms

Region of Convergence (ROC)

  • Right Half-Plane: Re(s) > α for causal signals
  • Left Half-Plane: Re(s) < β for anti-causal signals
  • Strip: α < Re(s) < β for two-sided signals

Poles and Zeros

  • Poles determine system stability
  • Left-half plane poles: stable system
  • Right-half plane poles: unstable system
  • Imaginary axis poles: marginally stable

Engineering Applications

Control Systems

  • Transfer Functions: H(s) = Y(s)/X(s)
  • System Stability Analysis
  • PID Controller Design
  • Root Locus Analysis

Circuit Analysis

  • Impedance: Z(s) = sL (inductors)
  • Admittance: Y(s) = sC (capacitors)
  • Network Analysis
  • Frequency Response

Signal Processing

  • Filter Design
  • Modulation Analysis
  • System Response
  • Spectral Analysis

Numerical Methods

Numerical Integration Techniques

  • Trapezoidal Rule
  • Simpson's Rule
  • Gaussian Quadrature

Inverse Transform Methods

  • Partial Fraction Decomposition
  • Bromwich Integral
  • Heaviside's Expansion
  • Numerical Inversion