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🪝Ordinary Differential Equations Unit 7 Review

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7.4 Step Functions and Discontinuous Forcing Functions

7.4 Step Functions and Discontinuous Forcing Functions

Written by the Fiveable Content Team • Last updated August 2025
Written by the Fiveable Content Team • Last updated August 2025
🪝Ordinary Differential Equations
Unit & Topic Study Guides

Step functions and discontinuous forcing functions are game-changers in differential equations. They let us model sudden changes, like flipping a switch or applying a force out of nowhere. It's like adding a plot twist to our math story!

Laplace transforms make dealing with these jumpy functions a breeze. We can turn tricky discontinuous problems into smooth algebraic ones. It's like having a secret weapon for solving real-world problems with sudden changes.

Step Functions

Heaviside Step Function and Unit Step Function

  • Heaviside step function H(t)H(t) represents a discontinuous function that jumps from 0 to 1 at t=0t=0
    • Defined as H(t)=0H(t) = 0 for t<0t < 0 and H(t)=1H(t) = 1 for t0t \geq 0
    • Useful for modeling sudden changes or switches in a system (turning on a light switch)
  • Unit step function u(t)u(t) is a shifted version of the Heaviside step function
    • Defined as u(t)=0u(t) = 0 for t<0t < 0 and u(t)=1u(t) = 1 for t0t \geq 0
    • Can be expressed in terms of the Heaviside step function: u(t)=H(t)u(t) = H(t)
    • Represents a unit change in a system at a specific time (applying a constant force at a given moment)
Heaviside Step Function and Unit Step Function, Heaviside step function - Wikipedia

Piecewise Continuous Functions and Laplace Transforms

  • Piecewise continuous functions are functions that are continuous on a finite number of intervals but may have discontinuities at the endpoints of these intervals
    • Can be represented using step functions (Heaviside or unit step) to define different pieces of the function
    • Example: f(t)={0,t<0t,0t<11,t1f(t) = \begin{cases} 0, & t < 0 \\ t, & 0 \leq t < 1 \\ 1, & t \geq 1 \end{cases} can be written as f(t)=t[u(t)u(t1)]+u(t1)f(t) = t[u(t) - u(t-1)] + u(t-1)
  • Laplace transform of step functions allows for solving differential equations with discontinuous forcing functions
    • Laplace transform of the Heaviside step function: L{H(t)}=1s\mathcal{L}\{H(t)\} = \frac{1}{s}
    • Laplace transform of the unit step function: L{u(t)}=1s\mathcal{L}\{u(t)\} = \frac{1}{s}
    • Laplace transform of a shifted unit step function: L{u(ta)}=eass\mathcal{L}\{u(t-a)\} = \frac{e^{-as}}{s}, where aa is the shift amount
Heaviside Step Function and Unit Step Function, Heaviside step function - Knowino

Discontinuous Forcing Functions

Discontinuous Forcing Functions and Dirac Delta Function

  • Discontinuous forcing functions are functions that have sudden changes or jumps in their values
    • Can be represented using step functions (Heaviside or unit step) or the Dirac delta function
    • Example: a sudden impact force on a spring-mass system can be modeled using a step function or Dirac delta function
  • Dirac delta function δ(t)\delta(t) is a generalized function that represents an infinitely high, infinitely narrow spike at t=0t=0
    • Defined by its integral properties: δ(t)dt=1\int_{-\infty}^{\infty} \delta(t) dt = 1 and f(t)δ(ta)dt=f(a)\int_{-\infty}^{\infty} f(t) \delta(t-a) dt = f(a)
    • Useful for modeling instantaneous changes or impulses in a system (a sharp blow to a structure)
    • Laplace transform of the Dirac delta function: L{δ(t)}=1\mathcal{L}\{\delta(t)\} = 1

Switching Circuits and Applications

  • Switching circuits are electrical circuits that can be modeled using discontinuous forcing functions
    • Example: a simple RC circuit with a switch that is closed at t=0t=0 can be modeled using a unit step function as the input voltage
    • The resulting current and voltage across the capacitor can be found using Laplace transforms and step function properties
  • Other applications of discontinuous forcing functions and step functions include:
    • Control systems (modeling sudden changes in input or disturbances)
    • Signal processing (representing pulses or square waves)
    • Mechanical systems (modeling impact forces or sudden changes in applied forces)