For initial data on the real line, Fourier transformation or convolution with the fundamental solution gives
For a bounded function , the convolution is well defined at every positive time because the heat kernel has integral one. The error-function diffusion front uses a Heaviside step function initial condition and gives one smoothed interface. The heat equation with interval-indicator initial data instead has two interfaces; subtracting their two error functions produces the finite-interval profile.
Let be continuous and suppose that the displayed improper integral converges separately at both infinite endpoints for some . Absolute convergence is not required. Then its heat-kernel solution exists, is smooth and solves the heat equation for , and tends to as at each fixed .
To prove the smoothing claim, take a primitive of . The assumed convergence makes bounded. For , integration by parts givesThe endpoint term vanishes. The coefficient of in the exponent of is . Its derivatives therefore have Gaussian decay on every compact subset of , justifying differentiation under the integral sign in the absolutely convergent right-hand expression. Since , it satisfies the heat equation.
For the initial limit, apply the same construction to and split at . Continuity controls the local part by its small oscillation times the unit kernel mass. On each remaining tail, is monotone for sufficiently small : its maximum lies at , approaching . If the relevant primitive has absolute bound , integration by parts bounds that tail by times the value of at its finite endpoint. For either endpoint , that value tends to zero like times a fixed constant. Both tails vanish, proving the limit. Separate endpoint convergence matters here; merely assuming a symmetric Cauchy principal value does not provide the bounded primitive used in this proof.
Suppose is continuous at and, for some ,For , its convolution with the heat kernel is smooth and solves the heat equation. On every compact set in , spatial or time derivatives of the heat kernel are bounded by the displayed integrable weight times a constant: their polynomial factors are absorbed by the strictly narrower Gaussian. This justifies differentiation under the integral sign.
Moreover, , soInside , continuity makes the difference uniformly small. Outside that interval, for , the inequality givesThe right side tends to zero, proving that the weighted tail contribution vanishes; the constant term is controlled by the vanishing Gaussian tail mass. Thus as . In particular, continuous data of polynomial growth satisfy this hypothesis, even when they are unbounded. This extends the Gaussian approximate identity argument beyond bounded data.
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