4.4 Applications in Classical Mechanics and Electrical Circuits

3 min readjuly 22, 2024

are the backbone of , describing how objects move. They factor in , damping, spring constants, and external forces to paint a picture of motion in the physical world.

From to pendulums, these equations help us understand oscillations. We can analyze damped and forced systems, uncovering critical concepts like that shape our understanding of mechanical and electrical systems.

Classical Mechanics

Second-order ODEs in mechanics

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  • Describe the motion of objects using second-order ODEs incorporates mass mm, bb, kk, and F(t)F(t)
  • Model simple harmonic motion of springs using F=kxF = -kx leads to the ODE md2xdt2+kx=0m\frac{d^2x}{dt^2} + kx = 0 with solution x(t)=Acos(ωt+ϕ)x(t) = A\cos(\omega t + \phi) where AA represents , ω=km\omega = \sqrt{\frac{k}{m}} , and ϕ\phi
  • Analyze using the ODE d2θdt2+gLsinθ=0\frac{d^2\theta}{dt^2} + \frac{g}{L}\sin\theta = 0 where θ\theta denotes angular displacement, gg , and LL
    • Simplify the pendulum ODE for small angles using the approximation sinθθ\sin\theta \approx \theta results in d2θdt2+gLθ=0\frac{d^2\theta}{dt^2} + \frac{g}{L}\theta = 0 with solution θ(t)=θ0cos(ωt+ϕ)\theta(t) = \theta_0\cos(\omega t + \phi) where θ0\theta_0 represents initial angular displacement and ω=gL\omega = \sqrt{\frac{g}{L}} angular frequency

Analysis of oscillating systems

  • Investigate described by the ODE md2xdt2+bdxdt+kx=0m\frac{d^2x}{dt^2} + b\frac{dx}{dt} + kx = 0 exhibits when b=2mkb = 2\sqrt{mk}, when b>2mkb > 2\sqrt{mk}, and when b<2mkb < 2\sqrt{mk} with solution x(t)=eb2mt(Acos(ωt)+Bsin(ωt))x(t) = e^{-\frac{b}{2m}t}(A\cos(\omega t) + B\sin(\omega t)) where ω=km(b2m)2\omega = \sqrt{\frac{k}{m} - \left(\frac{b}{2m}\right)^2} represents angular frequency
  • Examine governed by the ODE md2xdt2+bdxdt+kx=F0cos(ω0t)m\frac{d^2x}{dt^2} + b\frac{dx}{dt} + kx = F_0\cos(\omega_0 t) where F0F_0 denotes amplitude and ω0\omega_0 angular frequency of the driving force
    • Determine the x(t)=Acos(ω0tϕ)x(t) = A\cos(\omega_0 t - \phi) with amplitude A=F0(kmω02)2+(bω0)2A = \frac{F_0}{\sqrt{(k - m\omega_0^2)^2 + (b\omega_0)^2}} and phase shift ϕ=arctan(bω0kmω02)\phi = \arctan\left(\frac{b\omega_0}{k - m\omega_0^2}\right)
    • Identify resonance when the ω0\omega_0 closely matches the km\sqrt{\frac{k}{m}} (mass-spring system, pendulum)

Electrical Circuits

ODEs for electrical circuits

  • Model using the ODE dVdt+1RCV=Vs(t)RC\frac{dV}{dt} + \frac{1}{RC}V = \frac{V_s(t)}{RC} where VV represents across the capacitor, RR , CC , and Vs(t)V_s(t)
    • Solve for a discharging RC circuit (Vs(t)=0V_s(t) = 0) obtaining V(t)=V0etRCV(t) = V_0e^{-\frac{t}{RC}} where V0V_0 denotes initial voltage
    • Solve for a charging RC circuit (Vs(t)=V0V_s(t) = V_0) obtaining V(t)=V0(1etRC)V(t) = V_0(1 - e^{-\frac{t}{RC}})
  • Analyze RLC circuits described by the ODE Ld2Idt2+RdIdt+1CI=Vs(t)L\frac{d^2I}{dt^2} + R\frac{dI}{dt} + \frac{1}{C}I = V_s(t) where II represents , LL , RR resistance, CC capacitance, and Vs(t)V_s(t) source voltage
    • Classify the solution based on the values of LL, RR, and CC as overdamped when R2>4LCR^2 > \frac{4L}{C}, critically damped when R2=4LCR^2 = \frac{4L}{C}, and underdamped when R2<4LCR^2 < \frac{4L}{C}

Physical interpretation of ODE solutions

  • Relate oscillation frequency f=ω2πf = \frac{\omega}{2\pi} and period T=2πωT = \frac{2\pi}{\omega} to the angular frequency ω\omega obtained from ODE solutions
  • Understand in damped systems where damping reduces oscillation amplitude over time (mechanical systems) and resistance dissipates energy as heat (electrical systems)
  • Recognize resonance in forced systems characterized by large amplitudes when the driving frequency matches the natural frequency (mechanical systems) or maximum power transfer when the driving frequency matches the resonant frequency (electrical systems)
  • Distinguish between , the initial response of a system to changes in input or initial conditions, and , the long-term behavior after transients have died out
  • Apply ODE solutions to real-world scenarios such as vibration isolation in machines and structures, tuning of musical instruments (guitars, violins), design of filters and oscillators in electrical circuits (radios, televisions), and control systems in robotics and automation (drones, self-driving cars)

Key Terms to Review (33)

Amplitude: Amplitude is the maximum extent of a vibration or oscillation, measured from the position of equilibrium. It represents the peak value of displacement in periodic phenomena, highlighting how far the system moves from its rest position. Understanding amplitude is crucial for analyzing wave behavior in various contexts, including mechanics and electrical circuits.
Angular Frequency: Angular frequency is a measure of how quickly an object rotates or oscillates, expressed in radians per second. It connects the frequency of oscillation with the circular motion, representing the rate of change of the phase of a sinusoidal waveform. This concept is crucial for understanding systems involving periodic motion, such as those found in mechanics, electrical circuits, quantum mechanics, and wave phenomena.
Capacitance: Capacitance is the ability of a system to store electric charge per unit voltage. It is a fundamental property of capacitors, which are crucial components in electrical circuits and play a vital role in energy storage, filtering, and timing applications. Understanding capacitance also ties into how electric fields interact with charges and influences the behavior of electromagnetic waves as described by Maxwell's equations.
Classical Mechanics: Classical mechanics is a branch of physics that deals with the motion of objects and the forces acting on them, using concepts like mass, force, energy, and momentum. This framework lays the foundation for understanding the behavior of macroscopic objects in our everyday world, from simple systems to complex interactions. It encompasses both translational and rotational motion, allowing us to analyze mechanical systems and predict their behavior under various conditions.
Critical Damping: Critical damping refers to the precise amount of damping in a system that prevents oscillation while allowing it to return to equilibrium as quickly as possible. This balance is vital in systems that must quickly stabilize without overshooting, making it essential for applications like shock absorbers and electrical circuits. Achieving critical damping ensures that the system does not oscillate at all and settles to its steady state in the shortest time.
Current: Current refers to the flow of electric charge, typically measured in amperes (A), through a conductor. It plays a crucial role in the functioning of electrical circuits and is influenced by voltage and resistance according to Ohm's Law. Understanding current is essential for analyzing both classical mechanics involving moving charges and the behavior of electrical components in circuits.
Damped Oscillators: Damped oscillators are systems that experience oscillatory motion with a gradual reduction in amplitude over time due to the influence of a damping force, such as friction or resistance. This concept is essential in understanding how real-world systems, such as springs and electrical circuits, behave when energy is lost to their surroundings. The damping effect leads to important behaviors, including the transition from underdamped to overdamped motion, impacting both mechanical and electrical applications.
Damping Coefficient: The damping coefficient is a parameter that quantifies the amount of damping in a system, indicating how oscillations decrease over time due to the presence of resistive forces. It plays a crucial role in determining the behavior of dynamic systems, influencing how quickly vibrations or oscillations settle down after being disturbed. The damping coefficient is essential in applications involving mechanical systems, like pendulums, as well as in electrical circuits, impacting the stability and response of these systems to external stimuli.
Driving Frequency: Driving frequency refers to the frequency at which an external periodic force is applied to a system, leading to resonance and oscillations. This concept is crucial in understanding how systems respond to periodic forces, especially in classical mechanics and electrical circuits, where the driving frequency determines the amplitude of oscillations and the energy transfer within the system.
Energy Dissipation: Energy dissipation refers to the process by which energy is transformed from one form to another, often leading to a loss of usable energy, primarily in the form of heat. This phenomenon is crucial in understanding how systems behave under various conditions, as it affects efficiency and performance in different applications, such as mechanical systems and electrical circuits.
External force: An external force is a force that originates from outside a system and influences the motion or behavior of that system. In classical mechanics and electrical circuits, external forces can dictate how objects move, change direction, or experience changes in energy. Understanding external forces is essential to analyzing system dynamics, as they often determine how systems respond to various inputs and interactions.
Forced Oscillators: Forced oscillators are systems that experience oscillatory motion due to an external periodic driving force acting on them. This type of motion is commonly observed in various physical systems, where the interplay between the driving force and the system's natural frequency leads to interesting behaviors such as resonance. The study of forced oscillators helps in understanding energy transfer in classical mechanics and electrical circuits, revealing how these systems respond to external influences over time.
Gravitational acceleration: Gravitational acceleration is the rate at which an object accelerates towards the Earth due to gravity, typically measured as approximately 9.81 m/s² at Earth's surface. This acceleration is a key concept in understanding the motion of objects under the influence of gravity, and it plays a crucial role in determining the behavior of both free-falling objects and systems involving forces in classical mechanics and electrical circuits.
Hooke's Law: Hooke's Law states that the force exerted by a spring is directly proportional to the amount it is stretched or compressed from its equilibrium position. This relationship highlights the linear behavior of springs, which is essential for understanding various physical systems, including mechanical and electrical applications where elastic materials play a role.
Inductance: Inductance is a property of an electrical circuit that quantifies the ability of a conductor to store energy in a magnetic field when an electric current flows through it. This phenomenon occurs when the changing current generates a magnetic field that can induce a voltage across the conductor, opposing changes in current. Inductance plays a vital role in circuits and is essential for understanding electromagnetic interactions and energy transfer in both electrical systems and classical mechanics.
Mass: Mass is a measure of the amount of matter in an object, typically quantified in kilograms or grams. It plays a crucial role in various physical laws and principles, particularly in relation to force, acceleration, and energy. Understanding mass is essential in analyzing how objects interact under forces, influencing their motion and behavior in both classical mechanics and electrical circuits.
Natural Frequency: Natural frequency is the frequency at which a system tends to oscillate in the absence of any driving force. It is a fundamental property of mechanical and electrical systems, representing the inherent characteristics of the system's mass and stiffness, or inductance and capacitance. Understanding natural frequency is crucial for analyzing vibrations, resonance phenomena, and stability in various applications.
Overdamping: Overdamping refers to a condition in a dynamical system where the system returns to equilibrium without oscillating, due to excessive damping forces. This phenomenon occurs when the damping coefficient exceeds a certain critical value, causing the system to take longer to settle than it would under optimal damping conditions. Overdamping is commonly encountered in various physical systems, including mechanical systems and electrical circuits, where it can affect response times and stability.
Pendulum Length: Pendulum length refers to the distance from the pivot point of a pendulum to the center of mass of the pendulum bob. This length is crucial in determining the period of oscillation for a simple pendulum, which is influenced by gravity and the amplitude of the swing. Understanding pendulum length connects to various applications in classical mechanics, particularly in analyzing motion and timing devices, as well as in electrical circuits where oscillatory behavior is important.
Pendulum Motion: Pendulum motion refers to the rhythmic swinging of a mass (the bob) attached to a fixed point by a string or rod, typically moving back and forth under the influence of gravity. This simple harmonic motion can be modeled mathematically and plays a crucial role in understanding oscillatory systems in various fields, connecting closely with concepts in classical mechanics and electrical circuits where similar oscillatory behavior is observed.
Phase Shift: Phase shift refers to the change in the phase of a periodic wave or signal, often measured in degrees or radians, which indicates how far a wave has been shifted from a reference point. This concept is essential in various fields, as it helps to describe how waves, oscillations, and signals interact and relate to each other. Understanding phase shift is crucial for analyzing systems where multiple waves or signals coexist, such as in mechanical systems, electrical circuits, and signal processing.
RC Circuits: RC circuits are electrical circuits that consist of resistors (R) and capacitors (C) connected in series or parallel. These circuits are fundamental in understanding how capacitors charge and discharge over time, influencing the behavior of electrical systems in various applications such as timing devices, filters, and oscillators.
Resistance: Resistance is a measure of the opposition that a circuit offers to the flow of electric current, defined mathematically as the ratio of voltage to current. It plays a crucial role in determining how much current will flow through an electrical circuit when a voltage is applied. Understanding resistance is essential for analyzing both electrical circuits and various applications in classical mechanics, where it relates to friction and other forces that oppose motion.
Resonance: Resonance is a phenomenon that occurs when a system is driven by an external force at a frequency that matches its natural frequency, leading to a significant increase in amplitude. This concept is vital in understanding how energy transfer can be maximized in various systems, which can lead to increased efficiency and unique behaviors, particularly in mechanical systems and electrical circuits.
Second-Order ODEs: Second-order ordinary differential equations (ODEs) are equations involving an unknown function and its derivatives, where the highest derivative is of order two. These equations often arise in various physical systems, modeling phenomena such as motion, vibrations, and electrical circuits. Understanding second-order ODEs is crucial for analyzing the behavior of dynamic systems, enabling predictions about their future states based on initial conditions.
Simple Harmonic Motion: Simple harmonic motion is a type of periodic motion where an object moves back and forth around an equilibrium position, exhibiting a restoring force that is proportional to the displacement from that position. This motion can be described mathematically by second-order linear ordinary differential equations, making it foundational in various physical systems, including springs and pendulums, as well as in electrical circuits involving inductors and capacitors.
Source Voltage: Source voltage refers to the electrical potential difference provided by a power supply or battery in an electrical circuit. It is the energy supplied to drive current through the circuit elements and is crucial for establishing the necessary conditions for current flow, influencing how components interact in both mechanical systems and electrical circuits.
Spring Constant: The spring constant, denoted by the symbol $$k$$, is a measure of the stiffness of a spring, representing the relationship between the force applied to the spring and the displacement it experiences. This relationship is described by Hooke's Law, which states that the force exerted by a spring is directly proportional to its extension or compression from its equilibrium position. A larger spring constant indicates a stiffer spring that requires more force to produce a given displacement, which is crucial in various applications involving mechanical systems and electrical circuits.
Steady-State Behavior: Steady-state behavior refers to the condition where a system's properties remain constant over time, despite ongoing processes and interactions. In this state, the inputs and outputs of a system are balanced, leading to a stable configuration where key variables do not change. This concept is crucial in understanding how systems behave under consistent conditions, allowing for predictable outcomes in various scenarios.
Steady-state solution: A steady-state solution is a condition in a system where the variables remain constant over time, despite ongoing processes or inputs. This concept is important in understanding how systems reach equilibrium, and it plays a crucial role in analyzing dynamics in various fields, such as mechanics and thermal processes. In these contexts, the steady-state solution allows for simplifications in calculations and a clearer understanding of long-term behavior without transient effects.
Transient Behavior: Transient behavior refers to the temporary response of a system as it transitions from one state to another, often observed during the initial moments after a disturbance or change. This behavior is crucial in understanding how systems react before settling into a steady state, especially in contexts like motion and electrical signals. Analyzing transient behavior helps in predicting how systems respond to external forces or inputs over time.
Underdamping: Underdamping refers to a specific type of damping in oscillatory systems where the damping force is insufficient to prevent oscillations but is strong enough to gradually reduce the amplitude over time. In underdamped systems, oscillations continue for several cycles before eventually coming to rest, often characterized by a smooth decay in amplitude and a relatively slow approach to equilibrium. This phenomenon is prevalent in various physical systems, including classical mechanics and electrical circuits.
Voltage: Voltage, also known as electric potential difference, is the measure of electric potential energy per unit charge between two points in an electric field. It signifies the work needed to move a charge from one point to another and is fundamental in understanding the flow of electricity in circuits and mechanics, indicating how much energy is available to drive current through a circuit or influence charged particles in a mechanical system.
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