Inverse sine Created 2026-09-24 Updated 2026-10-06
Past exam of the mathematics course of the University of Cambridge 2017 ib Paper 4 14A Solution Created 2026-09-24 Updated 2026-10-05
The PDF specifies decay as ; the local TeX drops this limit from its displayed boundary data. Take , so the conformal map is . Its components areFor 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 ; thenOn , 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 areThe 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 givesConsequently the Poisson kernel for the upper half-plane yieldsThe 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.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 339 2 f Solution Created 2026-10-03 Updated 2026-10-06
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 givesThe last equality uses symmetry of the real matrices. HenceThe 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.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 339 2 g Solution Created 2026-10-03 Updated 2026-10-06
The Krivine rounding constant has . Since , the principal real inverse sine satisfieson 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 boundAt 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.
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 4 15D Solution Created 2026-09-23 Updated 2026-09-25
A transformation of phase space is canonical when it preserves the symplectic form, or equivalently all Poisson brackets. For one degree of freedom this isequivalently .
Suppose a type-two generating function for a canonical transformation definesThenEquality of the mixed partial derivatives gives , so the transformation is canonical wherever it is locally invertible.
Forthe fundamental theorem of calculus and differentiation under the integral sign giveThusand in particular .
For the unit-frequency simple harmonic motion, the transformed Hamiltonian is simply . Hamilton's equations becomeThereforeand transformation back gives the familiar solution
Now consider the weak quartic oscillatorChoose the modified generating functionIt givesso the transformed Hamiltonian is again . Hence and . Expanding the square root with the Taylor series givesDifferentiation with respect to therefore yieldswhere
Set andWriting and expanding the inverse sine relation at givesExpanding similarly givesConsequentlySince , this is the required expression. The formula is understood away from turning points where and the ratio itself is singular.