Apply separation of variables with and temporal factor . The spatial eigenvalue equation is
The nontrivial solutions of these Dirichlet boundary conditions are sine eigenfunctions. Normalizing in the usual inner product on gives
with . The superposition principle and the Fourier sine series then give
The constants are the initial-data coefficients . Here physical diffusion means .
By orthogonality and the sampling property of the Dirac delta distribution,
Consequently the reaction-diffusion equation solution is
For every this eigenfunction expansion is smoothed by the Gaussian decay in . As , it recovers the specified initial condition in the sense of distributions.
The smallest decay-rate eigenvalue is , so the threshold is
Because , . For every fixed interior point , the first sine eigenfunction is positive and the remaining terms have strictly faster decay relative to it. Hence
One can justify the relative-error limit directly: after factoring out the first exponential, the absolute remainder is bounded by , which tends to zero. Thus , and . The boundary values stay zero. At equality the first term is stationary and the density approaches its positive sine profile.
Let . The first normalized Fourier sine series coefficient is
Strict positivity follows because , has positive total mass, and everywhere inside the interval. In particular, there is no cancellation that could remove the slowest term. This is the positivity of the first Dirichlet reaction-diffusion coefficient.
For finite initial mass , all coefficients satisfy . The eigenfunction expansion therefore gives the uniform bound
The positive first profile thus controls the long-time behavior. We recover exactly the threshold , with decay below it and unbounded positive growth at every interior point above it. The finite-mass condition is the usual meaning of an initial density profile here; standard positive-time smoothing gives the same conclusion in the usual broader admissible data classes.

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