Inverse sine Created 2026-09-24 Updated 2026-10-06
The PDF specifies decay as ; the local TeX drops this limit from its displayed boundary data. Take , so the conformal map is . Its components are
For and , . The bottom edge maps monotonically to , and the two vertical sides map to the real rays and . The derivative never vanishes in the interior. Injectivity follows from the identities for equal sines: the alternatives and give only the identical point within this strip. Surjectivity can be seen directly: for fixed and , solve ; then
On , with the lower endpoint read as when , the right side increases strictly from zero to infinity. Thus every point of the upper half-plane has a unique preimage.
By conformal invariance of harmonicity, write the transformed harmonic function as . Its real-axis boundary data are
The inverse sine on is its real principal branch. For bounded integrable data, take the Fourier transform convention . The Laplace equation becomes , with the bounded decaying solution . Inverting the Fourier transform gives
Consequently the Poisson kernel for the upper half-plane yields
The decay is uniform across the strip: and, for , . This verifies the printed decay condition. Boundary limits give the prescribed values at continuity points away from the corners.
For the given sine data,
Values assigned at do not alter the integral. There is no solution continuous on the entire closed half-strip for these data: the bottom edge has corner limits , but the side edges have corner limits zero. The formula is the bounded Dirichlet problem solution with the specified limits away from those two corners. This is the usual interpretation of the printed problem; boundedness excludes additional boundary-singular harmonic functions, while decay alone without a regularity or boundedness condition does not establish uniqueness.
The Gram matrix representation and give . For a standard Gaussian random vector , each is a standard normal scalar, so the zero event has probability zero. Choose either sign convention at zero; the resulting vector is almost surely a feasible sign vector. Consequently almost surely.
The Gaussian sign-correlation identity gives
The last equality uses symmetry of the real matrices. Hence
The inverse sine is applied entrywise, not through spectral matrix functional calculus.
For completeness, the correlation coefficient identity has a geometric proof. If the angle between two unit vectors is , the isotropic Gaussian random vector direction in their two-dimensional span gives opposite signs on angular sectors with probability . Thus the sign product has expectation . Parallel and antiparallel pairs give the endpoint values and directly. This is Gaussian hyperplane rounding, and needs no independence between the rounded coordinates.
The Krivine rounding constant has . Since , the principal real inverse sine satisfies
on every cross-block entry. The matrix has zero diagonal blocks, so those cross blocks are the only contributors to its Frobenius inner product with . Explicitly,
No analogous identity is needed for the diagonal blocks involving .
Combining with the preceding expectation formula and optimality of gives the bipartite sign rounding bound
At least one feasible rounded outcome attains at least this expectation. This is an expectation-based approximation guarantee for the specific bipartite sign problem; no claim is made that is the largest possible constant. The inequalities remain valid when the optimal objective is zero.
A transformation of phase space is canonical when it preserves the symplectic form, or equivalently all Poisson brackets. For one degree of freedom this is
equivalently .
Suppose a type-two generating function for a canonical transformation defines
Then
Equality of the mixed partial derivatives gives , so the transformation is canonical wherever it is locally invertible.
For
the fundamental theorem of calculus and differentiation under the integral sign give
Thus
and in particular .
For the unit-frequency simple harmonic motion, the transformed Hamiltonian is simply . Hamilton's equations become
Therefore
and transformation back gives the familiar solution
Now consider the weak quartic oscillator
Choose the modified generating function
It gives
so the transformed Hamiltonian is again . Hence and . Expanding the square root with the Taylor series gives
Differentiation with respect to therefore yields
where
Set and
Writing and expanding the inverse sine relation at gives
Expanding similarly gives
Consequently
Since , this is the required expression. The formula is understood away from turning points where and the ratio itself is singular.