Transforming the spatial shifts and putting gives the real amplification factorFor the denominator is at least one, so the implicit step is a bounded Fourier multiplier on . Set and use . The numerator is no greater than the denominator, so . The other inequality isIf , the bracket is nonpositive and this always holds. If , the concave quadratic has its maximum at , with value . Therefore precisely under the stated conditionand without a mesh-ratio restriction when . The Parseval identity now givesIteration proves stability with constant one. It is conditional for and unconditional for . The sampled initial data have finite support, hence belong to . This is the Fourier stability threshold for a mixed-width heat scheme.
- Constant thermal diffusivity makes the Fourier spectral method diagonal: each Fourier mode can be evolved by its exact exponential multiplier.
- The smooth initial Gaussian function has rapidly decaying Fourier coefficients, so a moderate grid resolves it well. The Fast Fourier transform provides an efficient change between the spatial grid and those coefficients.
- A discrete Fourier transform describes a periodically repeated array. Opposite edges are identified by periodic boundary conditions; this is a periodically continued plate model, rather than a plate with prescribed cold or insulated edges.
- The initial hot spot is far from those edges. Over the stated short interval its width remains much smaller than the side length, so the periodic images have negligible influence near the centre. At sufficiently long times, periodic diffusion tends to the conserved spatial mean.
For consistency with the supplied wavenumbers, use an FFT grid on a periodic interval: , , and similarly for . In MATLAB, replace the endpoint-inclusive coordinate definitions by
x = (0:nx-1)*Lx/nx; and y = (0:ny-1)*Ly/ny;. The supplied linspace arrays instead have spacing while the Fourier multipliers assume . Including both copies of the periodic endpoint creates a grid inconsistency, separate from high-frequency aliasing. Semidiscrete Fourier transform Created 2026-10-24 Updated 2026-10-31
For a sequence indexed by the integers, its semidiscrete Fourier transform is the displayed Fourier series in . For square-summable data the series is interpreted in the L2 norm. Its inversion and Parseval identity areThe physical-frequency convention uses and on . This is distinct from the discrete Fourier transform of a finite vector. Translation-invariant finite difference operators become Fourier multipliers, making Fourier stability analysis possible.
