Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 86 3 b Solution Created 2026-10-03 Updated 2026-10-14
Keep the coordinates and operator from part (a). The attenuation is known, and the source is to be reconstructed. Put and . The directed forward attenuated Radon transform, for a detector at the positive end of the line, isThis weight accounts for absorption from each emission point to the detector. It is also derived by solving the real transport equation with zero incoming intensity: its outgoing limit is . In particular reversing the line direction generally changes the measurement. The pair reconstructs from full directed data and known ; it does not infer both unknown functions from the same data.
We must specify the sign convention for the projectors. Use the Hilbert transform and the signed Cauchy boundary operatorsThen , and the positive idempotent projectors are and . This is the signed boundary-value convention in the given limits of . To express everything with ordinary complementary projectors, one may instead write , . The given limits becomeBoth depend on the transverse coordinate and direction but are constant along .
The equation supplies an integrating factor:where is the inverse of unattenuated complex transport, normalized to vanish at spatial infinity. To see the normalization and analyticity rather than assume them, let . The complexified transport Cauchy kernel isIn the rotated coordinates, . The identity and the Jacobian prove with exactly this normalization. The denominator cannot vanish for nonzero real off the unit circle. The kernel is analytic separately inside and outside that circle, is at zero and at infinity. Thus and the displayed have the corresponding spectral behavior for the smooth decaying data. In particular at infinity and is bounded, indeed , at zero.
The limiting unattenuated inverse on any smooth decaying input isOne may verify this directly in the rotated Fourier variables: has multiplier , so its inverse has a pole at . As , the positive transverse frequencies have the negative tail primitive and the negative transverse frequencies have the positive past primitive; for these allocations reverse. Splitting with the Fourier projectors yields exactly the two formulas above. Applying them to reproduces the assumed limits of and checks the signs.
Now apply the same limiting inverse to . Because are independent of , its line integral is , while its tail is . HenceThe unknown incomplete line integral cancels in their difference. All remaining quantities are obtained from the measurements and known attenuation:Each projection acts in at fixed , before evaluating and . Pulling a transverse-dependent exponential outside a projector would be incorrect.
The sectionally analytic therefore solves an additive Riemann-Hilbert problem on the counterclockwise unit circle, with the plus value inside. The normalized Cauchy integral formula isThe Sokhotski–Plemelj theorem gives its jump; boundedness at zero and decay at infinity make it unique by the Liouville theorem. Its expansion at infinity isSubstitute into the original equation. The part contributes at order one, the reciprocal derivative and vanish at that order. This derives the projection formula for inverse attenuated Radon transform:Together with the boxed forward transform this is the requested pair. The derivation uses no small-attenuation approximation. For smooth compactly supported data the operations above are justified directly; sufficient integrable decay permits the same limiting construction.
As a normalization check, set . Then , and . Since the line transform is independent of and , the formula reduces tothe full-angle inverse Radon transform. For the radial Gaussian , and , so the reconstructed value at the origin is , checking the factor.
In single-photon emission computed tomography, represents the internal emission density, the known absorption coefficient and the directed detector counts. Each path integral weights a source point by its survival probability to the detector. Thus the attenuated Radon transform is the forward measurement model and its derived inverse reconstructs the emission distribution, providing the mathematical basis of SPECT.
Past exam of the mathematics course of the University of Cambridge 2008 ia Paper 2 5A iii Solution Created 2026-09-24 Updated 2026-10-14
On the active interval the excess temperature satisfies . Multiplication by the integrating factor and integration from time one givesThere is no impulse in this equation, so continuity supplies . ThereforeThe equivalent correction to the common unforced temperature is , which vanishes continuously at the beginning of the interval.
Past exam of the mathematics course of the University of Cambridge 2008 iii Paper 82 3 Solution Created 2026-10-03 Updated 2026-10-14
Retaining the nonlinear factor determines the order- forcing and the matching constants. Write . The inner leading equation and its boundary condition at give . Matching to the far-field value fixes .
The tail becomes under , so a regular expansion in integer powers of cannot suffice. This is a matched expansion with square-root and logarithmic corrections. DefineThe exponential integral here is normalized by the displayed definite integral. Integration by parts also gives , using the complementary error function.
For the outer asymptotic expansion, put andThe transformed equation gives and , with both corrections vanishing at infinity. Matching the leading inner tail determines . Multiplying the equation for by its integrating factor yieldsFix the particular solution unambiguously byThen , , and has no term at zero. The general outer correction is , whereThe logarithm in this asymptotic expansion explains why the inner expansion needs an term.
For the inner asymptotic expansion, all corrections larger than order solve the homogeneous leading equation and vanish at . At order , the forcing isIntegration gives the particular solution , which vanishes at . Thus writeExpress this inner expansion in and compare the terms that survive in the overlap . The order- constant gives . At order , the term becomes , so . The singular term matches , giving . Finally, the regular constants give .
The requested expansions, including every correction through order , are thereforeThe inner formula satisfies the boundary condition at term by term; the outer formula satisfies the condition at infinity. Each formula has its own stated region of validity, and the matched asymptotic expansion relates them in their overlap.
The constant can also be made explicit. Integration by parts in the definition of gives , and . Squaring the complementary error function expression for separates the integral into three elementary pieces:The first piece is , where is the Euler--Mascheroni constant. Substitution makes the second integral tend to , because . Integration by parts in the third integral gives . ConsequentlyEquivalently, defining by its convergent integral already determines the same matching constant without needing this closed form.
Past exam of the mathematics course of the University of Cambridge 2009 ia Paper 2 5C Solution Created 2026-09-24 Updated 2026-10-14
On an interval where , the Bernoulli differential equation is transformed by :For , , put . An integrating factor solves , giving . Thus the positive branches areon intervals where the expression in parentheses is positive. The transformation omits the separate solution . For , the right-hand side need not be locally Lipschitz continuous at zero, so nonnegative solutions can also join zero and positive branches where the original equation permits; the formula describes every strictly positive segment.
For the autonomous case, . Its two nonnegative equilibrium points areAt the positive equilibrium point, . If , below and above it; hence is unstable and is asymptotically stable. Every strictly positive solution tends to forward in time.
If , those signs reverse: is stable from the nonnegative side and is unstable. The stability at zero follows from the phase-line signs, not a finite derivative there. For initial value , the transformed equation is with . The solution reaches zero atand remains zero thereafter as a nonnegative forward solution. This is finite-time extinction in a sublinear Bernoulli equation. Initial values above increase without bound; the sublinear negative term prevents neither that growth nor the instability of .
Past exam of the mathematics course of the University of Cambridge 2010 ia Paper 2 7A b Solution Created 2026-09-24 Updated 2026-10-14
The forcing vector has the eigenvector decompositionThere is no component in the zero eigenvalue direction. The scalar inhomogeneous linear differential equations in this basis areFor the first, a particular solution is . For the third, multiplying by the integrating factor gives . Consequently for every real When , the resonant component vanishes and a particular solution is , of the stipulated constant-vector form. If , substituting would require . In the eigenbasis the left side has zero component, while the right side has component . This is impossible. The factor is therefore unavoidable: it is resonance in a differential equation.
Past exam of the mathematics course of the University of Cambridge 2010 iii Paper 54 2 e Solution Created 2026-10-03 Updated 2026-10-14
Let and retain only terms first order in and . The outgoing event horizon equation expands toHere is the initial Schwarzschild surface gravity. The integrating factor gives . Future stationarity imposes for and removes the growing homogeneous solution. Integrating from to infinity yields the teleological response of a Vaidya event horizon:The integral is finite because is bounded. Integrating by parts also givesFor , this reduces to . For , the first form becomesConsequently as . The positive constant shows that this event horizon is already expanding in the initially vacuum region. For monotone accretion, , so it lies outside the instantaneous apparent horizon to first order. All displayed radius corrections are understood up to .
Past exam of the mathematics course of the University of Cambridge 2012 ia Paper 3 3C Solution Created 2026-09-24 Updated 2026-10-07
A differential one-form is an exact differential if there is a differentiable function with and , so the form equals . For continuously differentiable , equality of mixed partial derivatives gives the necessary conditionA local differential condition need not by itself give a global potential on a domain with holes; no such issue arises for the explicit primitives here.
For the first form, and direct differentiation givesFor the second, but . These are not equal on any nonempty open subset of the plane, so that form is not an exact differential. Nevertheless,Thus one suitable pair is , . This factorization is smooth even at . On regions where , its reciprocal factor is an integrating factor which turns the original form into .
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 7 4 Solution Created 2026-10-03 Updated 2026-10-07
A kinetic model of a dilute gas. In the Boltzmann equation, is the particle number density in phase space, so counts particles near position and velocity . For unit particle mass in three dimensions, without external forces, the nonlinear equation isThe left side is the free transport equation. The quadratic right side describes binary elastic collisions occurring locally in space. A prescribed acceleration would add ; all conclusions below about energy or entropy must then include the appropriate force terms. Assume enough smoothness, velocity decay and finite moments to justify the calculations, and either periodic space or decay that removes spatial boundary fluxes. These are assumptions on a classical solution, not a general existence theorem.
The dilute-gas approximation neglects simultaneous many-body collisions and treats the interaction region as small relative to macroscopic spatial scales. Molecular chaos for the Boltzmann equation factorizes the distribution of two incoming particles as . It applies to incoming collision pairs; it does not assert that an interacting many-particle system stays exactly independent. This approximation closes the equation at the one-particle level and explains its nonlinearity.
Collision geometry and the gain-loss operator. Let and . A useful parametrization of an equal-mass elastic collision isThe center velocity is unchanged and the relative velocity is reflected in the plane normal to . ConsequentlyThe fixed- pre/post-collision transformation is an involutive orthogonal map of , so it preserves . Take a nonnegative collision kernel invariant under interchange of particles and reversal of the collision; for example . The nonlinear Boltzmann collision operator isAny convention about counting and is absorbed in . For a hard-sphere gas, this reflection parametrization has , with a positive constant determined by the sphere size and counting convention. Maxwell molecule collision operators instead have a collision frequency independent of after angular integration. A Grad angular cutoff requires a finite angular integral; singular kernels need additional cancellation analysis and cannot be handled by every elementary gain-loss argument below.
Writing , wheremakes the physical meaning clear: gain into velocity competes with loss out of . Along a free characteristic curve, put . Then . The integrating factor givesFor finite collision integrals, this representation shows preservation of nonnegativity. It is implicit, because both the gain and damping depend on ; it does not alone prove existence.
The weak collision identity and conserved quantities. The weak Boltzmann collision identity follows from particle interchange and the measure-preserving pre/post-collision substitution: it gives, for a velocity test function ,The factor comes from averaging the two particle labels. Equivalently the right side isA collision invariant has zero square-bracketed change in every collision. The functions , the three velocity coordinates, and are collision invariants by the geometric identities above. Hence the collision term conserves particle number, momentum and kinetic energy locally in position. Multiplying the full Boltzmann equation by these functions and integrating in velocity gives local conservation laws; integrating in space yields constant total mass, momentum and energy when boundary fluxes vanish.
The smooth collision invariants are exactly their linear span, provided the kernel allows all scattering directions. Here is a direct proof. If is unchanged by every collision, then for fixed center and relative radius , the sum is independent of the unit vector . Taylor expansion at forces to be independent of , so . Mixed derivatives vanish. Differentiating in a direction and commuting derivatives gives . Thus is constant andThis proof can be read for invariants; weaker regularity is handled distributionally. The multidimensional scattering hypothesis matters: in one dimension equal-mass elastic collisions only exchange the two velocities, and every function is then a collision invariant.
Entropy dissipation and the H theorem. Define the Boltzmann H functional , with . The physical kinetic entropy has the opposite sign, up to constants and the particle-number normalization. Particle-number conservation removes the in the derivative of ; spatial transport contributes only a boundary flux. With and , the symmetrized weak collision identity givesThe sign follows from monotonicity of the logarithm: . Zeros are treated by the usual extended nonnegative limit. This is the Boltzmann H theorem for the present kernel normalization, and is the Boltzmann entropy dissipation.
For a positive smooth and a kernel positive on all collision directions, equality requires in every collision, so is a collision invariant. Finite velocity mass then forces a negative quadratic coefficient and gives a local Maxwellian:Here is number density, is mean velocity, and is the temperature expressed in velocity-squared units, . Completing the square proves the formula; conservation of momentum and kinetic energy makes , so . Vacuum is another collision equilibrium.
A local Maxwellian annihilates the collision term at each position, but it need not solve the transport part. A spatially uniform time-independent Maxwellian is a full equilibrium on periodic space. On all of it has infinite total mass unless it is vacuum. Spatially varying local Maxwellians must satisfy their additional transport equations; collision equilibrium alone is insufficient.
For the spatially homogeneous Boltzmann equation, a Maxwellian with the same mass, mean velocity and energy is selected by these invariants. The relative entropy is nonnegative. Indeed, writing and using equal mass givesMoreover is a collision invariant, so the derivative of this relative entropy is . Thus minimizes at fixed conserved moments. Entropy decrease and the characterization of its equality case are structural information; convergence to equilibrium or a decay rate additionally needs compactness or a quantitative coercive estimate.
Moment equations and fluid closure. LetThe tensor is the kinetic pressure tensor and the kinetic heat flux. Put . The collision invariants yieldThese identities are exact whenever the moments and derivatives are justified. They are not a closed fluid system: and contain information beyond . For a local Maxwellian, Gaussian integration gives , and . Substitution gives the compressible Euler equations for a monatomic ideal gas, with pressure and ratio of specific heats .
This connection is naturally organized by the Knudsen number , the ratio of the mean free path to a macroscopic length. In an appropriate fluid scaling the equation reads . Formally, as , the dominant collision term imposes , hence local Maxwellian form, and the conserved moments evolve by the Euler equations. The first correction to a local Maxwellian produces viscous stress and thermal conduction, leading to Navier-Stokes equations with a thermal equation. This is a formal hydrodynamic limit of the Boltzmann equation; a rigorous limit requires estimates, preparation of data and treatment of boundaries, and is not justified merely by inserting .
Linearization and its dissipative structure. Around a fixed positive Maxwellian , write . The linearized collision operator on the relative perturbation isThis follows by expanding the two quadratic products to first order and using . In the weighted Hilbert space with inner product , collision symmetrization givesThis dissipation form of the linearized Boltzmann operator and its corresponding polarized identity prove symmetry on a common domain where the integrals converge. Its nullspace is spanned by under the same nondegenerate scattering assumption, exactly the conserved modes. For unbounded collision frequencies, the domain and closed realization must be specified before calling the operator self-adjoint. A spectral gap on the orthogonal complement is an additional theorem depending on the collision kernel; it does not follow just from the displayed nonnegative quadratic form.
Analytic scope and irreversibility. With an angular cutoff and bounded collision kernel, the spatially homogeneous equation has a simple local well-posedness argument in velocity . The pre/post-collision substitution gives , so the quadratic map is locally Lipschitz. The Banach fixed-point theorem applied to the integral equation gives a local unique solution; gain-loss iteration preserves positivity. For nonnegative solutions the conserved mass keeps the norm bounded, allowing continuation for all time. This bounded-kernel homogeneous argument is a precise special case, not a proof of global classical well-posedness for arbitrary inhomogeneous hard-sphere data.
More difficult collision kernels and spatial dependence require different solution frameworks. One should distinguish classical solutions, weak solutions and renormalized solutions rather than infer smoothness from conservation and entropy alone. For instance, a renormalized Boltzmann solution uses nonlinear bounded transforms to make sense of collision and transport terms when their raw integrability is insufficient. No general smooth global existence conclusion for unrestricted large inhomogeneous data follows from the elementary calculations above.
Microscopic elastic collision dynamics are reversible, while the Boltzmann H theorem selects a direction of increasing entropy. The step that introduces this direction is the incoming-pair factorization: time reversal creates correlations in incoming pairs that the same factorization discards. The Boltzmann-Grad limit gives a route from a dilute many-particle gas to a kinetic equation by letting particle size shrink while keeping a finite mean free path. Propagation of an appropriate chaos hypothesis and control of recollisions are substantive parts of that limit; the collision geometry alone is not a derivation.
Past exam of the mathematics course of the University of Cambridge 2013 ia Paper 2 7A Solution Created 2026-09-24 Updated 2026-10-07
Retain the derivative marks and coefficients from the printed system. In matrix form it is , withSince , multiplication by its inverse givesThe linear transformation , diagonalizes this system:Both start at zero. An integrating factor gives , soDirect substitution into the two original equations confirms the different forcing coefficients; the exact cancellation in depends on those coefficients.
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 67 3 iii Solution Created 2026-10-03 Updated 2026-10-07
Here the singular perturbation has an exact conservative structure:The integrating factor for this first-order linear differential equation givesAt and the integral terms have opposite signs while the exponential factors agree. Equal boundary data therefore force , and normalization gives the unique exact solutionThis exposes the Gaussian interior layer of a conservative drift equation. Its central scale is , where gives . The central Gaussian function profile is with amplitude .
Away from the center, , use exponential WKB approximation branches rather than an assumed bounded algebraic outer solution. The reduced ordinary differential equation would give ; matching both equal positive endpoint values with that algebraic branch is impossible. The exact solution selects its zero coefficient and the exponentially large branch with a Gaussian function profile instead. Near either endpoint, a distance changes by order one relative to its endpoint value: with , . These endpoint scales describe normalization of the same global exponential solution.
Thus a central turning region, exponential outer regions on both sides, and endpoint normalization scales give the complete regional description. The peak is exponentially large, so no uniformly bounded regular outer expansion should be presumed. The exact expression already provides a uniform solution without further matching calculations.
Past exam of the mathematics course of the University of Cambridge 2014 ia Paper 2 5B Solution Created 2026-09-24 Updated 2026-10-06
For and on an interval where , the logarithmic derivative substitution givesThe quadratic terms cancel. Multiplying by gives the linearization of a Riccati equation:Multiplying by a nonzero constant leaves unchanged. If , that substitution is undefined, but the original equation is already a first-order linear ordinary differential equation, solvable by an integrating factor.
For the particular equation, and the linear equation is . Use the PDF's logarithmic coordinate and write . The chain rule gives and , leaving . Thus , as also follows from the Euler-Cauchy equation. Recovering the Riccati equation solution yieldsThe initial value imposes ; choose . ThereforeThe denominator vanishes only at , and its numerator is then nonzero. This is a simple pole: . The maximal interval containing is ; the same expression on is a separate solution branch. These are poles of a Riccati solution from zeros of its linearizing solution.
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 69 2 iii Solution Created 2026-10-03 Updated 2026-10-06
Assume for this spectral construction that the source and known attenuation are sufficiently smooth and decaying, for instance compactly supported, and that for the physical interpretation. The following steps identify both the forward attenuated Radon transform and the route to its inversion.
First write the complex transport operator asFor this is the real directional derivative , with . Put and . The spectral equation on the unit circle becomesIts minus sign fixes the appropriate endpoint condition: use . The integrating factor givesThus the measured quantity at the opposite end of the line isThe exponent is the attenuation accumulated between the source point and the detector at the negative end. The common convention with detector at the positive end is the same transform after reversing the direction, . Using an incoming zero condition at the negative end while retaining the printed minus sign would instead give a growing integrating factor, not physical attenuation.
Next, for , the operator is a complex elliptic first-order operator. Its decaying whole-plane Green function isThis is obtained by a real-linear change of variables in the Cauchy-Green operator; its change of orientation explains the sign. Write for convolution with this kernel. Solve , and set . This removes the attenuation:The normalized spectral solution is analytic separately inside and outside the unit circle. As approaches that circle, the Green function's characteristic singularity produces two limiting values. Their relation is computed from the weighted line integrals above together with transverse Hilbert transforms; the known attenuation determines the integrating factor weights. The two spectral limits are not individually just the incoming and outgoing real characteristic solutions: the singular-kernel prescription matters.
Finally formulate the resulting additive Riemann-Hilbert problem on the unit circle. Its jump is determined by the measured attenuated Radon transform and known . With the unit circle oriented counterclockwise and jump , a Cauchy integral formula reconstructs the normalized spectral solution:The normalization at zero supplies the compatibility condition . Recover from , or from its small- coefficient: if , then . Equivalently the large- coefficient gives when . This spectral reconstruction of an attenuated Radon transform is the analogue of recovering from a coefficient in (ii). Known attenuation and full directed line data are inputs; one does not determine an arbitrary unknown attenuation and source simultaneously from this argument.
Past exam of the mathematics course of the University of Cambridge 2015 ia Paper 2 1B Solution Created 2026-09-24 Updated 2026-10-06
The integrating factor is , so . Integrating gives the general solutionThe particular solution is only defined up to a homogeneous solution. Subtract from it, absorbing that multiple into the arbitrary constant. The same family can then be writtenHolding fixed, the quotient tends to , the derivative of with respect to at . Thus the resonant family is . Direct differentiation gives , so it is the full general solution at resonance. This resonant exponential forcing in a first-order equation limit concerns a reparametrized family, not a fixed value of the original divergent constant . The initial condition gives , hence
Past exam of the mathematics course of the University of Cambridge 2015 ia Paper 2 5B Solution Created 2026-09-24 Updated 2026-10-14
Introduce . The pendulum with quadratic damping is the autonomous planar systemIts equilibrium points are . Since the derivative of is zero at zero, the linearization of a dynamical system at each equilibrium point isAt an odd multiple of its eigenvalues are , so it is a saddle equilibrium; the stable and unstable tangents are and . At an even multiple the eigenvalues are . This linearization is a centre and does not decide the nonlinear stability. In particular it would be incorrect to infer a linear damped focus from this Jacobian.
For the full system the mechanical energy is a Lyapunov function near an even equilibrium point:A sufficiently small sublevel set is compact and contains only that equilibrium point. The only invariant motion with has and , hence is the equilibrium point itself. The LaSalle invariance principle proves asymptotic stability. Near it the trajectories turn clockwise and spiral inward, as the near-linear angular motion persists while energy decreases. Thus even equilibria are nonhyperbolic asymptotically stable spiral points; odd equilibria remain saddles.
Local phase trajectories near a stable pendulum equilibrium and an unstable saddle with quadratic damping
. Details. For explicit trajectories put on a branch where . The chain rule gives , so the two signs yield the first-order linear differential equations for , and for . Their integrating factors giveOnly portions with a nonnegative right-hand side are physical. At a turning point the constants of the two branches are matched using ; neither expression is one global trajectory through both signs. When they reduce to energy contours, with closed orbits around the even equilibrium points. For every , the quadratic damping destroys those closed orbits and makes the centres attracting spirals. Its effect is higher order in amplitude, so decay is weaker near rest than with linear damping. The saddle equilibria remain unstable, though their separatrices change shape.
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 70 1 b Solution Created 2026-10-03 Updated 2026-10-06
The unknown Neumann boundary condition can be removed by the Fokas method. Evaluate the global relation for the half-line free Schrodinger equation at :Consequently . In the representation from part (a), the last term has integral , by the Cauchy integral theorem and Jordan lemma. It is analytic in the upper half-plane, and the exponential decays on the closing first-quadrant arc. Hence an expression involving only the given data isOne may replace by in the upper limit defining : the contribution of boundary times closes to zero in , since then decays there. Using makes causality transparent.
For an explicit proof of uniform convergence, it is useful to apply boundary lifting before inversion. Set , , , andThe compatibility condition gives . The Fourier sine transform of satisfies , with initial value . The integrating factor therefore gives the equivalent representationThis last integral is absolutely and uniformly convergent for , under concrete sufficient hypotheses , decay of the boundary terms, and . Indeed, two integrations by parts give for . Another integration by parts, this time in , givesThus the initial term is uniformly and the forcing term uniformly . For , use and the bounded time integral. An integrable majorant proves the claimed uniform convergence and permits evaluation at both boundaries.
At , Fourier sine inversion gives . At , the integral vanishes, giving , including the compatible corner. To verify the equation, note that and the transformed equation impliesAdding the lifted part gives . Under the stated smoothness, this holds classically in the interior; differentiated spectral integrals can first be Gaussian-regularized, or read in the sine-transform sense and then identified with the smooth solution. Uniform convergence of itself does not require claiming uniform convergence of every differentiated integral at the corner.
Past exam of the mathematics course of the University of Cambridge 2017 ia Paper 4 4A Solution Created 2026-09-24 Updated 2026-10-05
The dimensions are , , , and . Under the stated model, are the only parameters determining the ascent time. If is dimensionless, then , , and , leaving one independent dimensionless variable. One convenient choice isThus dimensional analysis fixes the form, but Newton's second law must determine the function .
Take upward velocity as positive. Throughout ascent, Newton's second law with linear drag gives . An integrating factor or direct solution of this linear ordinary differential equation givesThe first zero of this velocity is the highest point, soThis vertical ascent under linear drag has for , since . The limit recovers the no-drag ascent time ; gives .
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 328 2 Solution Created 2026-10-03 Updated 2026-10-06
The drift makes the natural measure weighted. LetUnder homogeneous Neumann boundary conditions, the differential operator is self-adjoint in the weighted inner product . Indeed integration by parts giveswhen the derivative boundary terms vanish. In particular its eigenvalues are nonpositive and it has the constant stationary eigenfunction. We first construct the weighted Neumann heat kernel with constant drift, then incorporate the two prescribed coordinate derivatives.
Put . The Robin gauge transform for constant drift, , turns intoThese are coordinate-derivative Robin boundary conditions, with the same algebraic sign at both endpoints. The left condition for an oscillatory solution of wavenumber gives . The right condition then reduces to , giving . There is also a separate mode , , which must not be discarded by restricting to oscillatory . For , write : the endpoint determinant reduces to , leaving only that zero mode. At , the linear solution satisfies both endpoint conditions only if it vanishes, because . The complete Sturm-Liouville eigenfunction expansion therefore usesTheir squared norms in the weighted measure areThe cancellation of the weight against makes the latter formula an ordinary trigonometric integral. DefineFor this kernel is smooth in the interior. It integrates initial values against , not against unweighted Lebesgue measure. It is symmetric in as a weighted kernel, even though the drift operator does not look symmetric in an unweighted inner product.
To determine the boundary forcing, set . Two applications of integration by parts leaveThe minus sign at the left endpoint is the sign of the boundary evaluation ; the supplied is , not an outward normal derivative. Solving this linear differential equation by an integrating factor and recombining the modes gives the requested space-time integral representation:This is the Neumann boundary-forcing formula. The zero mode also gives the useful consistency checkOrdinary unweighted mass instead obeys . Replacing the weighted measure by or deleting the constant mode would therefore give an incorrect solution.
There is a subtle point when checking nonzero derivative data: every homogeneous eigenfunction has zero endpoint derivative, but differentiating the boundary-forcing sum and its time integral term by term at an endpoint is not valid. The kernel is singular as , and the prescribed derivatives are interior limits of the full solution. An explicit Laplace transform form verifies those limits without this interchange and gives an alternative purely contour-integral version.
For , set using the principal square root, and defineBoth solve , with , . Their weighted Wronskian is the nonzero constantHence the resolvent kernel for Neumann advection-diffusion on an interval isThe first derivative in has jump , giving in the sense of distributional derivatives. If and , an equivalent transformed solution isIn fact and , so and exactly. The inverse Bromwich contour integral of is an alternative final answer. Its poles at and reproduce the constant and decaying modes of , respectively; apparent square-root singularities in the normalized hyperbolic factors are removable. This also independently checks the kernel normalization and boundary signs.
As in question 1, the printed dot on denotes its spatial derivative: the two corner conditions are and . The initial eigenfunction expansion converges to in the weighted space and, for the stated smooth compatible data, has the appropriate classical initial and boundary limits. Differences of solutions with zero data satisfy , proving uniqueness in the usual regular solution class. In the limit , , , and the ordinary Neumann heat kernel on an interval and its boundary signs are recovered.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 329 2 c Solution Created 2026-10-03 Updated 2026-10-06
Use , , , and . Locally replace in the preceding annular viscous extension calculation by . Its leading pressure isThe axial liquid stress relative to ambient pressure, together with the two circumferential surface tension forces, transmits a cut forceIt would be incorrect simply to differentiate this and retain an extra gas-pressure term. The sloping inner gas interface also exerts an axial pressure force per unit height, after subtracting the common ambient pressure contribution. For constant gas pressures these terms cancel. The resulting capillary tensile force of a hollow slender thread therefore givesThus the printed axial equation holds even for unequal constant gas pressures; their influence remains in the radial evolution.
For equal pressures, the kinematic boundary condition from the previous calculation becomes . Multiplying by the appropriate integrating factor givesAt closure , so and . HenceThe right side is positive for a genuine annulus. On the gravity-driven quadratic family from the previous part, grows linearly with height and this integral diverges logarithmically. It must then reach the finite positive threshold at a finite height. This explains the expected capillary closure of a falling hollow thread on that freely falling branch without requiring its full coupled profile.
There is a real boundary-data limitation to that expectation. Neither the printed nozzle speed nor the local equations alone guarantee finite closure for every imposed nozzle tension. To see this within the same leading model, define , so . For equal pressures and , both radii decrease and . Ifthen a bootstrap gives and : the maximum accumulated weight is smaller than the assumed tension margin. Consequently the closure integral, including its prefactor, is at most . If this is smaller than , closure never occurs at finite height. For example, in consistent units choose , , , , . Then , the weight bound is , and . Small makes the initial geometry slender. Thus finite closure is the expected freely falling branch behaviour, not a theorem following from nozzle speed alone. If there is no capillary closure by this mechanism.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 336 3 Solution Created 2026-10-03 Updated 2026-10-06
The three distinguished limits are the outer expansion at , an intermediate asymptotic region at , and an inner expansion at . The middle scale resolves the coefficient change from to ; the narrower scale resolves the unmet left boundary condition. The original equation is understood on with a continuous extension to the boundary. As explained below, imposing a classical second derivative at would be too strong for this degenerate ordinary differential equation.
In the outer expansion, set . The leading equation is . Enforcing the right boundary condition gives . Because , the next equation is particularly simple:An integrating factor, or the substitution , gives . ThusThe error statement is for bounded away from zero. The left limiting form is through the terms needed for matching. A logarithm in the correction makes a pure integer-power inner ansatz inadequate.
For the intermediate asymptotic region, put and . The transformed equation isThe leading is a constant fixed to by matching. There is no order- forcing, so that homogeneous constant is zero after matching. At order , , giving . Matching for with the outer expansion fixes . HenceThe switchback term is larger than an ordinary constant correction and must be retained. The highest derivative term first changes this middle solution at order , so it does not alter the displayed result.
To locate the inner expansion, compare the derivative terms for . Their ratio at a layer width is , so the square-root-degenerate endpoint layer has . Put and . After dividing by the common leading factor, the equation through order isBoth orders therefore have the same homogeneous operator . Its derivative mode is proportional to . Using and the supplied elementary integral, defineThe intermediate asymptotic region gives the overlap value as . ThereforeIt satisfies the left boundary condition exactly to the retained orders, and its large- limit matches the middle result in . The outer and middle limits match with . These three formulae include all terms through , including the logarithmic switchback; the omitted terms in the middle and inner regions need not be .
For a check on that last point, continue the middle equation by one order. Its term obeysThe integration constant is selected by the outer limit. Its value at is , so the inner matching amplitude has a next correction . This independently explains why an remainder is appropriate.
If a single additive composite expansion is useful, combine the three formulae and subtract their two common overlaps. Writing and interpreting at zero givesIt is zero at , gives at , and reproduces all three retained expansions. It does not assert an error uniformly through the nested regions.
Finally, near zero . Thus the solution has a finite nonzero first derivative but generally a second derivative diverging like . This is compatible with the equation for : the vanishing coefficient of multiplies that singular derivative to give a finite limit. If one instead required and the differential equation pointwise at , the left condition would force . The normalized equation's other coefficients have only integrable singularities, so uniqueness for the initial value problem with would give the zero solution, contradicting the right condition. Explicitly, write the normalized equation as a first-order system for with an integrable coefficient matrix; its integral equation and the Gronwall inequality force a solution with zero initial vector to vanish. The continuous-endpoint interpretation is therefore essential.
Past exam of the mathematics course of the University of Cambridge 2018 iii Paper 336 2 ii Solution Created 2026-10-03 Updated 2026-10-05
An integrating factor explains the second hint and the first-order inner calculation. Formultiplication by gives . The term already produces , and integrating the remaining terms twice gives , in terms of the Gaussian drift primitives. The homogeneous solutions are a constant and the error function. HenceFor the piecewise forcing in the inner problem, replaces and provides the continuously matched particular solution for . The coefficients and then account for the forcing.
