For a second-order linear partial differential equation written , the discriminant is . Here
It is positive exactly when , proving that the equation is a hyperbolic partial differential equation on each half-plane. At its principal part degenerates and it is not hyperbolic.
The characteristic curves satisfy
Integrating suggests the characteristic coordinates
Their Jacobian determinant is , so this is an invertible local change of variables whenever . Write . The chain rule gives
Substitution cancels both unmixed second derivatives and both first derivatives:
The canonical form of a second-order partial differential equation is therefore
The cancellation of the first derivatives is the key feature of these logarithmic characteristic coordinates.
Integrate the canonical form of a second-order partial differential equation first in and then in . The first integration gives , and the second gives
Thus
The two arbitrary twice continuously differentiable functions describe the two characteristic families. Conversely, substituting this expression into verifies every such solution. The formula applies on or ; independent choices can be made on the two half-planes. Smooth extension across the degenerate line requires extra compatibility and is not supplied by the logarithmic formula alone.
Use the classical regularity setting , with bounded. Continuity on the compact set guarantees existence of a minimum. The inequality means that is superharmonic function.
A strict inequality would immediately exclude an interior minimum, because its Hessian matrix there would be positive semidefinite and have nonnegative trace. To handle equality, introduce the quadratic perturbation proof of the minimum principle:
Its minimum must lie on . Choose so that on . For any ,
Letting gives . Therefore
This asserts that a minimum is attained on the boundary, not that it cannot also be attained inside; a constant function attains it everywhere.
For a harmonic function, and . Apply the preceding minimum argument to and to :
These are the weak minimum and maximum principle for harmonic functions.
The difference is a harmonic function, because the Laplacian is a linear differential operator:
The boundary inequality says on . The minimum principle from part (ii) gives
This is the comparison principle for harmonic functions. Applying it in both directions also shows why fixed Dirichlet boundary conditions determine at most one harmonic function.

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