A fundamental second-order linear parabolic partial differential equation describing heat distribution or other diffusion processes. Its canonical form is [latex]\frac{partial u}{partial t} = \alpha \nabla^2 u[/latex], where [latex]u(\vec{x},t)[/latex] is temperature, [latex]t[/latex] is time, and [latex]\alpha[/latex] is thermal diffusivity. Solutions model how an initial temperature distribution evolves, smoothing out irregularities over time and approaching a steady state.
The Heat Equation
- Jean-Baptiste Joseph Fourier
The heat equation is the prototypical example of a parabolic PDE. The term [latex]\nabla^2[/latex] is the Laplace operator, which in one spatial dimension [latex]x[/latex] simplifies the equation to [latex]u_t = \alpha u_{xx}[/latex]. The constant [latex]\alpha[/latex] represents the thermal diffusivity of the material, a measure of how quickly heat spreads. A key property of the heat equation is its ‘infinite speed of propagation’; a change in temperature at any point is felt instantaneously, though infinitesimally, everywhere else in the domain. This is a mathematical idealization of the rapid nature of diffusion.
Another defining characteristic is its smoothing effect. Even if the initial temperature distribution [latex]u(\vec{x},0)[/latex] is discontinuous (e.g., a sharp jump in temperature), the solution [latex]u(\vec{x},t)[/latex] for any time [latex]t > 0[/latex] becomes infinitely differentiable (smooth). This reflects the physical reality that sharp temperature gradients cannot be maintained and will immediately begin to even out. The maximum principle for the heat equation states that the maximum value of [latex]u[/latex] must occur either at the initial time or on the boundary of the spatial domain, meaning no new hot spots can spontaneously appear inside the material.
Solutions are often found using the méthode of separation of variables or by employing Fourier transforms, which were developed by Fourier precisely for this purpose. The fundamental solution, known as the heat kernel, represents the temperature distribution resulting from an initial point source of heat.
Type
Disruption
Utilisation
Precursors
- newton’s law of cooling
- the development of calculus
- concept of partial derivatives
- fourier’s work on trigonometric series (fourier series)
Applications
- thermal engineering for heat sink design
- financial modeling (the black-scholes equation is a variant)
- image processing for noise reduction (perona-malik diffusion)
- neuroscience for modeling neuron signal propagation
- chemical engineering for modeling molecular diffusion
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