If satisfy the same boundary value problem, their difference satisfies in and on the boundary, by linearity. Part (b)(ii) gives
Apply it again to , which also satisfies and zero Dirichlet boundary conditions. This gives . Hence throughout , proving
This proves uniqueness whenever a solution exists; existence is the separately supplied assumption. When the drift coefficients vanish, the same argument uses part (a).
The maximum principle for subharmonic functions here states that if and in , then
If , apply this to to obtain the corresponding minimum principle. In particular a harmonic function has both its maximum and minimum on the boundary. Without a sign condition on , this conclusion need not hold.
First suppose . By compactness and continuity, attains a maximum on . At an interior maximum, the first derivatives vanish and the Hessian matrix is negative semidefinite. Its trace is then nonpositive, contradicting . Thus a maximum lies on the boundary.
For the non-strict case put , with . Then , so the strict case yields, for ,
Let . This gives , proving the theorem. The argument proves the weak maximum principle; it does not claim that every maximizer must be on the boundary when is constant.
The Picard-Lindelöf theorem gives local existence and uniqueness for an initial value problem when is continuous on a rectangle around and is Lipschitz continuous in its second variable there, with a constant uniform in the first variable. A sufficient hypothesis is that and are continuous on that rectangle.
More quantitatively, if the rectangle is , , and , a sufficiently small with and yields a unique differentiable solution on remaining inside the vertical strip. The proof uses the integral equation
and Picard iteration, or the Banach fixed-point theorem after shrinking to make the integral operator a contraction. The continuity and Lipschitz hypotheses must hold near the actual initial point.

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