Heat Diffusion Equation - Using BCs to model as an orthonormal system

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SUMMARY

The discussion focuses on the application of the sine Fourier series to model the heat diffusion equation within the interval [0, 2a]. The user demonstrates that the sine functions form an orthonormal basis by establishing the equality of the integral involving the self-adjoint operator ##\mathrm{d}^2/\mathrm{d} x^2##. The conversation also touches on the need for clarification regarding the summation index, initially misidentified as ##n## instead of ##k##. Participants are encouraged to verify the correctness of the approach and provide guidance on subsequent parts of the problem.

PREREQUISITES
  • Understanding of Fourier series, specifically sine Fourier series.
  • Knowledge of self-adjoint operators in Hilbert spaces.
  • Familiarity with the heat diffusion equation and boundary conditions.
  • Basic calculus, particularly differentiation and integration techniques.
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  • Study the properties of self-adjoint operators in functional analysis.
  • Learn about the application of Fourier series in solving partial differential equations.
  • Explore the derivation and implications of the heat diffusion equation.
  • Investigate the role of boundary conditions in Fourier series expansions.
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Mathematicians, physicists, and engineering students focusing on partial differential equations, particularly those interested in heat transfer and mathematical modeling techniques.

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Homework Statement
Consider heat equation
##\kappa \frac {\partial^2 \psi} {\partial x^2} = \frac{\partial \psi}{\partial t}##


## \kappa ## is positive, ## x \subset [0,a] ##, ##\psi## is real

For ##t>0##: ##\psi(t,0) = \psi_0## at ##x=0##

##\frac{\partial \psi}{\partial x}(t,a) = 0## at ##x=a##

##\psi(0,x) = 0##



We introduce ##g_k(x) = \sqrt\frac{2}{a} sin(q_k x)##

where ## q_k = \frac{\pi}{a}(k + \frac{1}{2}) ##

##k = 0, 1, ...##



b) Argue that the functions ##g_k## form an ortho-normal basis of the space ##L_b ^2 ([0, a])##, of square integrable functions ##f## on ##[0, a]## with a Dirichlet boundary condition ##f(0) = 0 ## at ## x = 0## and a von Neumann condition ##f'(a) = 0## at ##x = a##.



c) Based on the results in (a) (I've done this part - it's ##\frac{d^2}{dx^2}g_k = -q_k^2g_k##) and (b) argue that the most general ##\psi## with the correct boundary conditions can be written as ##\psi(t, x) = \psi_0+ \Sigma_0^\inf T_k(t)g_k(x)##. Find the solutions for the functions ##T_k##.



d) Fix the remaining constants in your solution by imposing the initial condition. Compute the average value ##\psi_{avg}(t)## of ##\psi(x, t)## by averaging over x ∈ [0, a] and find an approximate equation for the time as a function of## r := (\psi_0 − \psi_{avg}(t))/\psi_0##.
Relevant Equations
Fourier series, Dirichlet, Von Neumann
I've tried to show b) by using the sine Fourier series on ##[0,2a]##, to get ##g_k = \Sigma_{n=0}^{2a} \sqrt\frac{2}{a} Sin(q_k x)##

Therefore ##\sqrt\frac{2}{a} = \frac{1}{a} \int_0^{2a} Sin(q_kx)g_k dx##

These are equal therefore it is an orthonomal basis.

I'm not sure if this is correct so it would be great if somebody could help me by checking it and also letting me know how I could go about doing parts c and d.

Thank you
 
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For (b) I'd rather argue by showing that ##\mathrm{d}^2/\mathrm{d} x^2## is a self-adjoint operator on the said Hilbert space. I'm also not sure what you mean by the sum over ##n##.
 
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vanhees71 said:
For (b) I'd rather argue by showing that ##\mathrm{d}^2/\mathrm{d} x^2## is a self-adjoint operator on the said Hilbert space. I'm also not sure what you mean by the sum over ##n##.

Thanks for your reply. Can I ask how I would do this? I meant sum over k.
 

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