Nonlinear boundary conditions in ApproxFun

Hi,

I’m trying to solve for the steady state solution of a one-dimensional heat equation describing a nonlinear heat conduction in a finite domain [0,1] using ApproxFun.jl:

T_{xx} = 0

subject to a Dirichlet boundary conditions at the left end

T(0,t) = T_0 \quad \text{at} \;\; x=0

and a nonlinear power law boundary condition at the right end

T_x(1, t) = \beta(T^4 - T_0^4) \qquad \text{at}\;\; x=1.

Here, T = T(x, t) is the temperature variable, \beta and T_0 are some constant parameters.

I’m having trouble dealing with the nonlinearity in the right boundary condition. The numerical result I got from the plot does not agree with the analytical one, so I wonder how to fix this?
Here’s my code:

using ApproxFun, Plots, LinearAlgebra

T₀ = 2.0
β = 2.0

d = Interval(0,1)
S = Chebyshev(d)
x = Fun(S)
D = Derivative(S)

BC1 = Evaluation(S, 0)  # T(0) = T₀ at x=0
BC2 = Evaluation(S, 1, 1) - β*Evaluation(S, 1)^4  # T'(1) = β(T(1)^4 - T₀^4) at x=1
L = D^2  # differential operator: T'' = 0

sol = [BC1; BC2; L] \ [T₀; -β*T₀^4; 0*x]

# analytical solution: T(x) = Ax + B, where B = T₀ and A = β((A+T₀)^4 - T₀^4)  -> A ≈ -3.93545
T_analytical = -3.93545*x

print(sol)
plot(sol, label="numerical")
plot!(T_analytical, label="analytical", lw=2, linestyle=:dash)

and the plot I got:

Any help would be much appreciated! :slight_smile: