Initial and Boundary Conditions

Initial conditions and boundary values determining unique physical solutions in differential equations.

What it is

A pure differential equation defines an infinite family of solutions (the general solution), characterized by arbitrary integration constants or arbitrary functions. To isolate the unique particular solution describing a specific physical phenomenon across a bounded domain, auxiliary constraints are essential:

  1. Initial Conditions (Cauchy Problem): The state of the system and its time derivatives are specified at a single reference point in time t=t0t = t_0: y(t0)=y0,y′(t0)=v0,…,y(n−1)(t0)=y0(n−1)y(t_0) = y_0, \quad y'(t_0) = v_0, \quad \dots, \quad y^{(n-1)}(t_0) = y_0^{(n-1)} For an nn-th order ODE, exactly nn independent data points evaluated at the identical time t0t_0 are required.
  2. Boundary Conditions (Boundary Value Problem / Dirichlet, Neumann, Robin): The values of the unknown function or its spatial normal derivatives are prescribed at multiple distinct spatial points forming the boundary ∂Ω\partial \Omega of the domain:
    • Dirichlet: Fixed values of the state variable on the boundary: u(x)∣∂Ω=f(x)\left.u(\mathbf{x})\right|_{\partial \Omega} = f(\mathbf{x}) (e.g., grounded conducting plates at fixed electrostatic potential V=0V = 0).
    • Neumann: Fixed normal derivative (flux) on the boundary: ∂u∂n∣∂Ω=g(x)\left.\frac{\partial u}{\partial n}\right|_{\partial \Omega} = g(\mathbf{x}) (e.g., thermally insulated walls with zero heat flux ∇T⋅n=0\nabla T \cdot \mathbf{n} = 0).
    • Robin (Mixed): A linear combination of state value and normal derivative: (au+b∂u∂n)∣∂Ω=h(x)\left.\left(a u + b \frac{\partial u}{\partial n}\right)\right|_{\partial \Omega} = h(\mathbf{x}) (e.g., Newton convective surface cooling).

Why it appears in physics

The fundamental governing laws of physics are universal and local: Maxwell's equations and the wave equation apply identically in empty deep space or inside a metallic microwave cavity. What separates the acoustic timbre of a cello string from that of a pipe organ is exclusively the material boundaries and the initial state of excitation.

  • Without initial data, the harmonic oscillator equation mx¨+kx=0m \ddot{x} + k x = 0 represents all conceivable vibrations; setting x(0)=x0x(0) = x_0 and x˙(0)=0\dot{x}(0) = 0 isolates the true physical trajectory.
  • In electrostatics, Laplace's equation ∇2V=0\nabla^2 V = 0 has a unique physical solution only once electric potentials or surface charge distributions are pinned at all bounding electrodes.

Visual or geometric intuition

  • Cauchy Problem (Initial): Picture state phase space (position vs. velocity). An initial condition (x0,v0)(x_0, v_0) sets an exact coordinates pin. The ODE provides a local compass direction that integrates into a single deterministic path flowing forward through time.
  • Boundary Value Problem: Picture an elastic drum skin (Poisson/Laplace equation). Imposing Dirichlet boundary conditions clamps the perimeter rigidly to an elevation frame u=0u = 0. The resulting equilibrium membrane profile minimizes elastic strain energy while conforming rigidly to the boundary contour.

Minimal symbolic language

  • Picard-Lindelöf Existence and Uniqueness Theorem: If f(t,y)f(t, y) and ∂f∂y\frac{\partial f}{\partial y} are continuous in an open neighborhood around (t0,y0)(t_0, y_0), the initial value problem: dydt=f(t,y),y(t0)=y0\frac{dy}{dt} = f(t, y), \quad y(t_0) = y_0 admits a unique local solution on (t0−ϵ,t0+ϵ)(t_0 - \epsilon, t_0 + \epsilon).
  • Regular Sturm-Liouville problem (spatial boundary eigenvalue system): ddx[p(x)dydx]+q(x)y=−λw(x)y,α1y(a)+α2y′(a)=0,β1y(b)+β2y′(b)=0\frac{d}{dx}\left[p(x) \frac{dy}{dx}\right] + q(x) y = -\lambda w(x) y, \quad \alpha_1 y(a) + \alpha_2 y'(a) = 0, \quad \beta_1 y(b) + \beta_2 y'(b) = 0 where discrete eigenvalues λn\lambda_n yield the spatial normal modes of the physical apparatus.

What the result means

Satisfying initial or boundary conditions guarantees that the mathematical formulation constitutes a well-posed problem in the Hadamard sense:

  1. Existence: At least one solution satisfies both the PDE/ODE and boundary data.
  2. Uniqueness: No two distinct physical configurations share identical initial and boundary constraints.
  3. Continuous stability: Small variations in initial conditions yield small variations in the solution trajectory.

When not to use it

  • Overdetermined boundary systems: Prescribing more independent boundary values than degrees of freedom results in mathematical incompatibility.
  • Underdetermined systems: Leaving boundaries open yields non-unique, indeterminate solutions.
  • Open boundaries in elliptic PDEs: Solving Laplace's equation in an unclosed boundary domain leads to ill-posed divergent solutions.
  • Chaotic systems with finite Lyapunov horizons: Although mathematical determinism holds formally, exponential sensitivity to initial data destroys predictive power over long time scales (t>tLyapunovt > t_{\text{Lyapunov}}).

Operational summary

  1. Count the order of time derivatives (ntn_t) and spatial derivatives (nxn_x).
  2. Assign exactly ntn_t initial conditions at initial instant t=t0t = t_0.
  3. Assign exactly nxn_x boundary conditions across domain endpoints x=ax = a and x=bx = b.
  4. Classify boundary types: Dirichlet (prescribed values), Neumann (prescribed fluxes), or Robin (mixed convection/elastic impedance).
  5. Solve the linear or transcendental algebraic system for the integration coefficients.

Procedure: Imposing Initial and Boundary Conditions

Before calculating

  1. Check dimensionality and order: For an nn-th order ODE, ensure you have exactly nn independent constraint data.
  2. Distinguish problem architecture:
    • If all constraints are prescribed at one reference instant t0t_0, it is an Initial Value Problem (IVP).
    • If constraints are distributed across spatial endpoints (x=0x = 0 and x=Lx = L), it is a Boundary Value Problem (BVP).
  3. Obtain the analytic general solution first: Solve the differential equation retaining all integration constants (C1,C2,…,CnC_1, C_2, \dots, C_n).

Step 1: Identify the mathematical object

Explicitly write down the constraint system:

  • For a second-order IVP: y(t0)=y0,y′(t0)=v0y(t_0) = y_0, \quad y'(t_0) = v_0
  • For a second-order BVP on [0,L][0, L]:
    • Dirichlet: y(0)=A,y(L)=By(0) = A, \quad y(L) = B
    • Neumann: y′(0)=0,y′(L)=Φy'(0) = 0, \quad y'(L) = \Phi
    • Mixed: y(0)=0,y′(L)+hy(L)=0y(0) = 0, \quad y'(L) + h y(L) = 0

Step 2: Choose the operation

  1. Differentiate the general solution analytically to obtain symbolic expressions for y′(t),y′′(t)y'(t), y''(t), etc.
  2. Substitute the evaluation coordinates (t=t0t = t_0 or x=0,Lx = 0, L) into the expressions for the state and derivatives.
  3. Set up the algebraic linear system for the unknown constants (C1,C2,…,Cn)(C_1, C_2, \dots, C_n): MC=Y0\mathbf{M} \mathbf{C} = \mathbf{Y}_0

Step 3: Conserve units and signs

  • If y(t)y(t) denotes position in meters, verify that all terms in the evaluated expressions evaluate to meters.
  • The derivative y′(t0)=v0y'(t_0) = v_0 brings out frequency or damping factors (e.g. ω0C2\omega_0 C_2). Ensure you divide through correctly when isolating coefficients.

Step 4: Calculate

  1. Solve the algebraic system (via Gaussian elimination, Cramer's rule, or direct substitution).
  2. For eigenvalue boundary problems (e.g. vibrating strings), test whether the system matrix determinant must vanish for non-trivial eigensolutions: det⁡M(λ)=0\det \mathbf{M}(\lambda) = 0.
  3. Substitute the resolved constants CiC_i back into the general solution.

Step 5: Interpret the result

  1. Direct verification: Re-evaluate the particular solution at t=t0t = t_0 and boundary points. Does it match the inputs exactly?
  2. Physical plausibility: Does the trajectory preserve energy conservation and flux continuity?
  3. Singularities: Did a vanishing determinant indicate resonance or a lack of well-posedness?

Self-check checklist

  • Did I differentiate symbolically before substituting the evaluation coordinate?
  • Does the count of independent constraints equal the order of the ODE?
  • Does substituting t=0t = 0 yield exactly y0y_0 and v0v_0?
  • Are the dimensional units of all solved constants physically consistent?
  • For pure Neumann boundary problems, did I verify the integral compatibility condition of the source term?

Worked Examples: Initial and Boundary Conditions

Step-by-step guided example

Problem

An undamped simple harmonic oscillator of mass m=0.5 kgm = 0.5\,\text{kg} and spring constant k=50 N/mk = 50\,\text{N}/\text{m} is initially displaced by x(0)=0.2 mx(0) = 0.2\,\text{m} from equilibrium and given an initial velocity toward the origin v(0)=−2 m/sv(0) = -2\,\text{m}/\text{s}.

  1. Formulate the ODE and its general solution.
  2. Determine the unique particular solution by imposing Cauchy initial conditions.
  3. Re-express the solution in amplitude-phase form x(t)=Acos⁡(ω0t−ϕ)x(t) = A \cos(\omega_0 t - \phi).

Detailed solution

Step 1: General ODE solution The equation of motion is: mx¨+kx=0  ⟹  x¨+kmx=0m \ddot{x} + k x = 0 \implies \ddot{x} + \frac{k}{m} x = 0 Natural angular frequency: ω02=km=500.5=100 rad2/s2  ⟹  ω0=10 rad/s\omega_0^2 = \frac{k}{m} = \frac{50}{0.5} = 100\,\text{rad}^2/\text{s}^2 \implies \omega_0 = 10\,\text{rad}/\text{s} The general solution is: x(t)=C1cos⁡(10t)+C2sin⁡(10t)x(t) = C_1 \cos(10 t) + C_2 \sin(10 t) Differentiating for velocity: v(t)=x˙(t)=−10C1sin⁡(10t)+10C2cos⁡(10t)v(t) = \dot{x}(t) = -10 C_1 \sin(10 t) + 10 C_2 \cos(10 t)

Step 2: Imposing initial conditions at t=0t = 0 Evaluate position at t=0t = 0: x(0)=C1cos⁡(0)+C2sin⁡(0)=C1=0.2 mx(0) = C_1 \cos(0) + C_2 \sin(0) = C_1 = 0.2\,\text{m} Evaluate velocity at t=0t = 0: v(0)=−10C1sin⁡(0)+10C2cos⁡(0)=10C2=−2 m/s  ⟹  C2=−0.2 mv(0) = -10 C_1 \sin(0) + 10 C_2 \cos(0) = 10 C_2 = -2\,\text{m}/\text{s} \implies C_2 = -0.2\,\text{m} The canonical trigonometric particular solution is: x(t)=0.2cos⁡(10t)−0.2sin⁡(10t) mx(t) = 0.2 \cos(10 t) - 0.2 \sin(10 t)\,\text{m}

Step 3: Amplitude and phase representation A=C12+C22=0.22+(−0.2)2=0.08=0.22≈0.2828 mA = \sqrt{C_1^2 + C_2^2} = \sqrt{0.2^2 + (-0.2)^2} = \sqrt{0.08} = 0.2\sqrt{2} \approx 0.2828\,\text{m} tan⁡ϕ=C2C1=−0.20.2=−1\tan\phi = \frac{C_2}{C_1} = \frac{-0.2}{0.2} = -1 Since C1>0C_1 > 0 and C2<0C_2 < 0, ϕ\phi lies in the 4th quadrant: ϕ=−π4 rad\phi = -\frac{\pi}{4}\,\text{rad} Thus: x(t)=0.22cos⁡(10t+π4) mx(t) = 0.2 \sqrt{2} \cos\left(10 t + \frac{\pi}{4}\right)\,\text{m}


Inverse example

Problem

A uniform heat-conducting rod of length L=2 mL = 2\,\text{m} in steady state satisfies the one-dimensional Laplace equation d2Tdx2=0\frac{d^2 T}{dx^2} = 0. The measured spatial temperature profile across the rod is: T(x)=100−35x (∘C)T(x) = 100 - 35 x\,\left(^\circ\text{C}\right) Identify the physical boundary conditions (types and numerical values at x=0x = 0 and x=Lx = L) that produced this temperature distribution.

Detailed solution

Step 1: General steady-state solution Integrating d2Tdx2=0\frac{d^2 T}{dx^2} = 0 twice: dTdx=C1  ⟹  T(x)=C1x+C2\frac{dT}{dx} = C_1 \implies T(x) = C_1 x + C_2 Comparing with the measured profile T(x)=−35x+100T(x) = -35 x + 100: C1=−35 ∘C/m,C2=100 ∘CC_1 = -35\,^\circ\text{C}/\text{m}, \quad C_2 = 100\,^\circ\text{C}

Step 2: Boundary evaluation

  • Left boundary at x=0x = 0: T(0)=100 ∘C,dTdx∣x=0=−35 ∘C/mT(0) = 100\,^\circ\text{C}, \quad \left.\frac{dT}{dx}\right|_{x=0} = -35\,^\circ\text{C}/\text{m}
  • Right boundary at x=L=2 mx = L = 2\,\text{m}: T(2)=100−35(2)=30 ∘C,dTdx∣x=2=−35 ∘C/mT(2) = 100 - 35(2) = 30\,^\circ\text{C}, \quad \left.\frac{dT}{dx}\right|_{x=2} = -35\,^\circ\text{C}/\text{m}

Step 3: Physical boundary identification This steady state can be established by:

  1. Pure Dirichlet conditions: Fixing T(0)=100∘CT(0) = 100^\circ\text{C} and T(2)=30∘CT(2) = 30^\circ\text{C} via thermostated reservoirs.
  2. Mixed conditions (Dirichlet at x=0x=0, Neumann at x=Lx=L): Maintaining T(0)=100∘CT(0) = 100^\circ\text{C} and imposing a heat flux q=−kdTdx=35k W/m2q = -k \frac{dT}{dx} = 35 k\,\text{W}/\text{m}^2 at the right endpoint.

Common Errors: Initial and Boundary Conditions

Error 1: Substituting initial conditions before differentiating

When applying derivative conditions like x˙(0)=v0\dot{x}(0) = v_0, evaluating t=0t = 0 in the position expression first and attempting to differentiate the resulting constant.

  • Correction: Differentiation must be carried out symbolically on the variable function x(t)x(t). Only after obtaining x˙(t)\dot{x}(t) is the evaluation at t=0t = 0 performed.

Error 2: Conflating Dirichlet with Neumann boundary conditions

Assigning a fixed state value at a boundary where the physical problem dictates a free end or insulated boundary.

  • Example: In a vibrating string with a frictionless sliding ring at the end, imposing y(L)=0y(L) = 0 (Dirichlet) instead of vanishing transverse slope ∂y∂x∣x=L=0\left.\frac{\partial y}{\partial x}\right|_{x=L} = 0 (Neumann).
  • Consequence: Drastically shifts resonant frequencies and standing wave node locations.

Error 3: Imposing Cauchy data on elliptic operators (Laplace/Poisson)

Attempting to solve Laplace's equation ∇2u=0\nabla^2 u = 0 by prescribing both uu and ∂u∂n\frac{\partial u}{\partial n} simultaneously on a sub-boundary segment without closing the boundary.

  • Consequence: Hadamard's classic ill-posed problem; arbitrary high-frequency instability destroys computational and physical solutions.

Error 4: Fitting initial data to the homogeneous solution alone in forced systems

In driven ODEs L[y]=g(t)L[y] = g(t), evaluating constants C1,C2C_1, C_2 using only yh(t)y_h(t) and then adding the particular solution yp(t)y_p(t) afterwards.

  • Consequence: Since yp(0)≠0y_p(0) \neq 0 in general, the complete function y(t)=yh(t)+yp(t)y(t) = y_h(t) + y_p(t) fails the required initial conditions. Constants must always be resolved using the complete composite solution.

Error 5: Overlooking the Neumann solvability compatibility condition

In Poisson's equation ∇2u=f\nabla^2 u = f with pure Neumann boundary data ∇u⋅n=g\nabla u \cdot \mathbf{n} = g on closed boundary ∂Ω\partial \Omega:

  • By Gauss's divergence theorem, ∫Ωf dV=∮∂Ωg dS\int_\Omega f\,dV = \oint_{\partial \Omega} g\,dS.
  • If sources and boundary fluxes do not balance globally, no solution exists.

Quick control rule

To ensure consistency: substitute the computed numerical constants into the full general solution, re-evaluate y(t0)y(t_0) and y′(t0)y'(t_0), and verify they match the exact problem specifications.

Physical Applications: Initial and Boundary Conditions

1. Electromagnetic waveguides and resonant cavities

In hollow metallic waveguides, Maxwell's equations for longitudinal fields EzE_z and BzB_z reduce to the two-dimensional Helmholtz eigenvalue equation: ∇t2ψ+kc2ψ=0\nabla_t^2 \psi + k_c^2 \psi = 0

  • For TM modes (transverse magnetic): tangential electric field vanishes at the perfectly conducting walls, imposing homogeneous Dirichlet conditions: Ez∣wall=0\left.E_z\right|_{\text{wall}} = 0.
  • For TE modes (transverse electric): normal magnetic field vanishes, imposing homogeneous Neumann conditions: ∂Bz∂n∣wall=0\left.\frac{\partial B_z}{\partial n}\right|_{\text{wall}} = 0. These boundary restrictions discretize the cutoff wavenumber kck_c, dictating waveguide transmission bands for microwave telecom and radar.

2. Quantum potential wells and nanostructure confinement

In quantum mechanics, a particle confined to a 1D infinite square well between x=0x = 0 and x=Lx = L experiences impenetrable walls requiring wavefunction nodes: ψ(0)=0,ψ(L)=0(Dirichlet conditions)\psi(0) = 0, \quad \psi(L) = 0 \quad \text{(Dirichlet conditions)} Imposing these boundary nodes on the free oscillatory state forces momentum quantization kn=nπLk_n = \frac{n\pi}{L} and produces discrete energy eigenvalues En=n2π2ℏ22mL2E_n = \frac{n^2 \pi^2 \hbar^2}{2 m L^2}, underlying quantum dots and semiconductor laser diodes.

3. Deterministic ballistics and interplanetary trajectory insertion

Spacecraft orbital insertion represents a six-dimensional Cauchy problem (three position coordinates and three velocity components prescribed at rocket engine burnout t0t_0): r(t0)=r0,r˙(t0)=v0\mathbf{r}(t_0) = \mathbf{r}_0, \quad \dot{\mathbf{r}}(t_0) = \mathbf{v}_0 Pinpoint rendezvous with outer planets validates the Picard-Lindelöf existence and uniqueness framework under gravitational vector fields.

4. Architectural thermal envelope and building physics

Thermal modeling of building envelopes integrates diverse boundary categories simultaneously:

  • Dirichlet boundary data at subterranean foundations contacting stable ground (T≈15∘CT \approx 15^\circ\text{C}).
  • Neumann adiabatic boundary data at reflective vapor insulation layers (zero conductive flux ∂T∂n=0\frac{\partial T}{\partial n} = 0).
  • Robin convective boundary data on exterior surfaces exposed to wind: −k∂T∂n=hconv(T−Tair)-k \frac{\partial T}{\partial n} = h_{\text{conv}} (T - T_{\text{air}}).

5. Musical acoustics of wind instruments and organ pipes

Acoustic air pressure within an organ pipe satisfies the wave equation:

  • At a closed end: air displacement is blocked, enforcing a displacement node and pressure antinode (Neumann condition on pressure).
  • At an open end: acoustic pressure equalizes to ambient atmospheric pressure, creating a pressure node p=0p = 0 (Dirichlet condition). Open-open vs. open-closed pipe boundaries determine whether the acoustic spectrum contains all integer harmonics or exclusively odd harmonics (e.g. clarinet timbre).

Interdisciplinary connection

Boundary conditions dictate hemodynamics simulations in biomechanics (impedance matching across aortic bifurcations) as well as seismological modeling of Rayleigh and Love surface waves trapped between the Earth's crust and the atmosphere.

Guided Practice: Initial and Boundary Conditions

Exercise 1: Normal modes of a vibrating string with fixed ends

A guitar string of length L=0.65 mL = 0.65\,\text{m}, tension TT, and linear density μ\mu satisfies the Helmholtz spatial ODE for standing waves: X′′(x)+k2X(x)=0X''(x) + k^2 X(x) = 0 with clamped endpoints X(0)=0X(0) = 0 and X(L)=0X(L) = 0 (homogeneous Dirichlet conditions).

  1. State the general solution of the spatial ODE.
  2. Apply boundary conditions to prove non-zero solutions exist only for discrete knk_n (eigenvalues).
  3. Compute resonant frequencies assuming wave speed v=400 m/sv = 400\,\text{m}/\text{s}.

Solution

  1. General trigonometric solution: X(x)=Acos⁡(kx)+Bsin⁡(kx)X(x) = A \cos(k x) + B \sin(k x)
  2. At x=0x = 0: X(0)=A=0  ⟹  X(x)=Bsin⁡(kx)X(0) = A = 0 \implies X(x) = B \sin(k x) At x=Lx = L: X(L)=Bsin⁡(kL)=0X(L) = B \sin(k L) = 0 For non-trivial solutions (B≠0B \neq 0): sin⁡(kL)=0  ⟹  knL=nπ  ⟹  kn=nπL,n=1,2,3,…\sin(k L) = 0 \implies k_n L = n \pi \implies k_n = \frac{n \pi}{L}, \quad n = 1, 2, 3, \dots
  3. Since kn=ωnv=2πfnvk_n = \frac{\omega_n}{v} = \frac{2 \pi f_n}{v}: fn=nv2L=n4002×0.65≈n×307.69 Hzf_n = \frac{n v}{2 L} = n \frac{400}{2 \times 0.65} \approx n \times 307.69\,\text{Hz} The fundamental is f1≈307.7 Hzf_1 \approx 307.7\,\text{Hz} with integer harmonics.

Exercise 2: Thermal fin conduction with Robin boundary conditions

The temperature excess θ(x)=T(x)−Tenv\theta(x) = T(x) - T_{\text{env}} along a cooling fin satisfies: θ′′(x)−m2θ(x)=0,m=2 m−1\theta''(x) - m^2 \theta(x) = 0, \quad m = 2\,\text{m}^{-1} on x∈[0,L]x \in [0, L] with L=1 mL = 1\,\text{m}. At the base (x=0x = 0), CPU contact holds θ(0)=50 ∘C\theta(0) = 50\,^\circ\text{C}. At the tip (x=Lx = L), convective dissipation imposes a Robin condition: θ′(L)+hcθ(L)=0,hc=1 m−1\theta'(L) + h_c \theta(L) = 0, \quad h_c = 1\,\text{m}^{-1}

  1. Write the general solution in terms of hyperbolic functions cosh⁡(mx)\cosh(m x) and sinh⁡(mx)\sinh(m x).
  2. Solve for the coefficients and state θ(x)\theta(x).

Solution

  1. Hyperbolic solution: θ(x)=C1cosh⁡(mx)+C2sinh⁡(mx)\theta(x) = C_1 \cosh(m x) + C_2 \sinh(m x)
  2. At base x=0x = 0: θ(0)=C1=50 ∘C\theta(0) = C_1 = 50\,^\circ\text{C} At tip x=1 mx = 1\,\text{m} with m=2,hc=1m = 2, h_c = 1: θ′(1)+θ(1)=0\theta'(1) + \theta(1) = 0 [2(50)sinh⁡(2)+2C2cosh⁡(2)]+[50cosh⁡(2)+C2sinh⁡(2)]=0\left[2(50) \sinh(2) + 2 C_2 \cosh(2)\right] + \left[50 \cosh(2) + C_2 \sinh(2)\right] = 0 C2[2cosh⁡(2)+sinh⁡(2)]=−50[2sinh⁡(2)+cosh⁡(2)]C_2 [2 \cosh(2) + \sinh(2)] = -50 [2 \sinh(2) + \cosh(2)] With cosh⁡(2)≈3.7622\cosh(2) \approx 3.7622 and sinh⁡(2)≈3.6269\sinh(2) \approx 3.6269: C2[11.1513]=−550.8  ⟹  C2≈−49.39 ∘CC_2 [11.1513] = -550.8 \implies C_2 \approx -49.39\,^\circ\text{C} θ(x)=50cosh⁡(2x)−49.39sinh⁡(2x) (∘C)\theta(x) = 50 \cosh(2 x) - 49.39 \sinh(2 x)\,\left(^\circ\text{C}\right)

Exercise 3: Cauchy problem for a critically damped RLC circuit

An unforced critically damped RLCRLC circuit satisfies: q¨+2γq˙+γ2q=0\ddot{q} + 2\gamma \dot{q} + \gamma^2 q = 0 with γ=100 s−1\gamma = 100\,\text{s}^{-1}. At t=0t = 0, capacitor charge is q(0)=5 mC=5×10−3 Cq(0) = 5\,\text{mC} = 5 \times 10^{-3}\,\text{C} and current is zero i(0)=0i(0) = 0.

  1. State the general solution for repeated characteristic roots.
  2. Find q(t)q(t) and discharge current i(t)=−q˙(t)i(t) = -\dot{q}(t).
  3. Compute the instant of peak discharge current.

Solution

  1. Double root r=−γ=−100r = -\gamma = -100: q(t)=(C1+C2t)e−γtq(t) = (C_1 + C_2 t) e^{-\gamma t}
  2. At t=0t = 0: q(0)=C1=5×10−3 Cq(0) = C_1 = 5 \times 10^{-3}\,\text{C} Differentiating: q˙(0)=C2−γC1=0  ⟹  C2=100×5×10−3=0.5 C/s\dot{q}(0) = C_2 - \gamma C_1 = 0 \implies C_2 = 100 \times 5 \times 10^{-3} = 0.5\,\text{C}/\text{s} q(t)=(5×10−3+0.5t)e−100t Cq(t) = (5 \times 10^{-3} + 0.5 t) e^{-100 t}\,\text{C} Discharge current: i(t)=−q˙(t)=50te−100t Ai(t) = -\dot{q}(t) = 50 t e^{-100 t}\,\text{A}
  3. Setting didt=50e−100t(1−100t)=0\frac{di}{dt} = 50 e^{-100 t}(1 - 100 t) = 0: tmax=1100 s=10 ms,imax=0.5e≈0.184 At_{\text{max}} = \frac{1}{100}\,\text{s} = 10\,\text{ms}, \quad i_{\text{max}} = \frac{0.5}{e} \approx 0.184\,\text{A}