3.2 Continuity method, convexity and a fundamental inequality [02AB]
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3.2 Continuity method, convexity and a fundamental inequality
For any symplectic potential on our Fano polytope, centred at the origin, we write . Now we define the following weighted norms, for functions on :
The first variation of with respect to an infinitesimal variation in is , where is the differential operator
| (13) |
Since
this can also be written as
| (14) |
from which it follows that
| (15) |
In particular, is self-adjoint with respect to the weighted norm.
Now define a functional by
| (16) |
Then the first variation is
| (17) |
By the self-adjoint property we can also write this as
| (18) |
This leads to two different expressions for the second variation of . If we put and write for the operator defined by then
So,
which is equal to
On the other hand
So, evaluating at and dropping from the notation, we have the identity
| (19) |
Applying (15), with , this gives,
| (20) |
It is obvious from the definition that vanishes on the linear functions and . If is any eigenfunction of , with eigenvalue , which is orthogonal to the linear functions and then constants, then is non-zero and the identity gives
so . (This is a variant of the standard lower bound on the eigenvalues of the Laplacian on a manifold with positive Ricci curvature, the identity can of course be verified more directly, but the argument above avoids some laborious manipulation.) In sum, we have derived an inequality
| (21) |
with equality if and only if is a linear function.
Now to apply this to our problem. First, we can use the continuity method for the equation , with respect to variations in . The linearised equation is . Since the cokernel of is identified with the linear functions this linearised equation has a solution and we can apply the implicit function theorem in the usual way.
Second, we obtain the uniqueness of solutions. Consider the functional . Along a line we have
where denote the derivatives of . Evaluating at we have
so our inequality (21) asserts that the second derivative of is positive, and strictly positive unless is affine-linear. Thus is a convex function. Now if the are determined by , using the same argument as in the previous subsection. So we may as well suppose that . Then where is the integral of . The equation is the Euler-Lagrange equation for critical points of the linear function
subject to the constraint . The convexity gives uniqueness, modulo linear functions.