Read this lesson as text
Maximum Principle
PDEs · Axiom Academy
Understanding how heat equation solutions achieve their extremes only at boundaries and initial time The Maximum Principle states that for the heat equation, the maximum and minimum values of the temperature distribution occur on the parabolic boundary of the domain. Maximum Principle for Heat Equation Consider the heat equation on a spatial domain for : Then the maximum and minimum values of u(x,t) occur on the parabolic boundary: where is the spatial boundary. Why is the Maximum Principle true? The physical reason is simple and profound: heat flows from hot to cold . Hot spots cool down: If a point in the interior is the hottest, heat flows away from it to cooler neighbors. This causes it to cool, so it cannot remain the maximum. Cold spots warm up: If a point in the interior is the coldest, heat flows into it from warmer neighbors. This causes it to warm, so it cannot remain the minimum. Cannot create new extremes: The diffusion process smooths out temperature variations. It cannot spontaneously create new hot or cold spots in the interior. Step 3: Visualization - Hot and Cold Spots Evolution Watch how an interior hot spot cools down and an interior cold spot warms up, while boundary values remain fixed. Step 4: Consequences of the Maximum Principle The Maximum Principle is not just an interesting fact - it has powerful consequences for the theory of PDEs.
This is the written version of the interactive lesson above. See the full PDEs course.