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Past exam of the symmetry and relativity course of the University of Oxford 2015 1 c ii Solution by
Codex 0 2026-10-25
Relativistic relativistic aberration concentrates emission into an angular scaleThis is a half-angle or characteristic divergence scale; a full cone opening is about twice it. The exact half-photon-count cone in a applies to isotropic rest-frame emission. A synchrotron emitter has its own rest-frame angular radiation pattern, so that count result should not be treated as an exact median-power formula for the synchrotron beam. It nevertheless gives the correct relativistic beaming scale. Electron-beam emittance, vertical angular spread and the detector's acceptance can broaden the experimentally observed divergence beyond this intrinsic estimate.
Past exam of the symmetry and relativity course of the University of Oxford 2015 1 c i Solution by
Codex 0 2026-10-25
Interpret GeV as the electron's total energy; the alternative kinetic-energy reading changes the estimate only slightly at this scale. The Lorentz factor and orbital acceleration areUsing the supplied Larmor formula, and the revolution time ,For m this gives W per electron and s. Their product isThis is the energy loss of one electron on a full circular orbit, not its energy loss per metre or the total loss of the whole bunch. The fractional loss is only about of the GeV energy each revolution. Maintaining a steady stored energy requires replacing that energy through the accelerator's rf system.
Past exam of the sub-atomic physics course of the University of Oxford 2016 2 c c Solution by
Codex 0 2026-10-25
The beam energy is a total pion energy, so the momentum follows the relativistic relation . Taking the standard charged-pion rest energy MeV,[ref]For motion perpendicular to a uniform magnetic field, the Lorentz force supplies the transverse momentum change and gives . With the stipulated eV s m,The unit cancellation leaves length after dividing by in metres per second. Equivalently, the usual magnetic-rigidity conversion is for unit charge. The sign of the pion charge chooses the bending direction, while the radius uses its magnitude. Treating the pion as massless would give about m and is not a good approximation at this modest total energy. The production target does not determine the downstream orbit once the pion momentum and magnetic field are specified.
Past exam of the sub-atomic physics course of the University of Oxford 2016 2 c b Solution by
Codex 0 2026-10-25
Raising each beam energy to 250 MeV makes MeV. The kaon denominator is now dominated byrather than by . Substituting into a givesThe enormous change is a tiny-width effect, not a comparably abrupt change in the broad rho contribution. The center-of-momentum energy has moved about kaon widths from the peak. A width of MeV is only eV, requiring an energy-selection scale of order relative to the several-hundred-MeV beam energy.
Real beams have vastly broader energy distributions. Averaging over such a distribution suppresses the useful narrow-resonance contribution: the finite peak value does not imply a large energy-integrated formation rate, whose resonant area shrinks with the width at fixed branching fractions. The weak inverse-decay entrance coupling and the broad strong-interaction rho background therefore make this a poor way to study kaon resonant formation. The supplied broad-resonance formula is used algebraically as requested; a practical calculation would convolve an appropriate narrow line shape with the actual beam distribution.
Past exam of the sub-atomic physics course of the University of Oxford 2016 2 c a Solution by
Codex 0 2026-10-25
Use and let denote the total center-of-momentum energy, not one beam's energy. Opposite equal momenta give MeV, so the kaon is at its stipulated resonance mass MeV. Write the unspecified selected exit branching fractions as and . The supplied line shape givesThe distinction between inclusive and exclusive resonance branching factors matters here. For inclusive resonance formation, sum over all decays, so . At the small kaon width cancels from the peak value:If instead the measured cross section is specifically resonant elastic , its exit branching fractions equal the entrance ones: , . ThenThe source says production without specifying an observed decay channel, so both conventions are made explicit rather than silently squaring a branching fraction for an inclusive measurement. The quoted kaon width and two-pion branching fraction identify the short-lived propagation state ; a pure flavor state is a superposition of short- and long-lived states. This exercise uses the stipulated resonance model and equal omitted proportionality factors.
Past exam of the sub-atomic physics course of the University of Oxford 2016 1 b c Solution by
Codex 0 Created 2026-10-25 Updated 2026-11-05
Adding the three characteristic quark energies from b givesThe estimate recovers a sub-GeV scale but underestimates the stated neutron mass by a factor of a few. This is consistent with its deliberately crude uncertainty and geometry assumptions; it is not a precision mass prediction.
A better model needs the actual spatial and momentum correlations, a confining interaction, and the energy in the quark and gluon fields. In quantum chromodynamics, hadron masses are not simply the sum of three freely moving particles with tiny masses. The supplied MeV rest-energy scale resembles a light current-quark scale; a phenomenological constituent-quark mass includes substantial dressing and is a different parameter. Color, spin correlations, relativistic dynamics and sea components all matter when defining a more realistic bound-state Hamiltonian operator or performing a lattice QCD calculation. The prescribed uniform-sphere model supplies none of those extra dynamical inputs, so its discrepancy should not be repaired by an unannounced change of the given radius or mass.
Past exam of the sub-atomic physics course of the University of Oxford 2016 1 b b Solution by
Codex 0 2026-10-25
Adopt the lower-bound scale of the Heisenberg uncertainty principle, , with the prescribed radial scale from a. Using MeV fm,For a one-sided exponential distribution of a positive momentum magnitude, , both its mean and its standard deviation are . Under the additional identification made in this estimate, set the characteristic momentum to . This identification concerns a positive magnitude; the mean of a signed momentum component in an isotropic stationary state would instead vanish.
Use the relativistic energy-momentum relation, not a nonrelativistic kinetic-energy approximation, because the momentum-energy scale is much larger than the stipulated quark rest energy:This is a characteristic energy estimated at the characteristic momentum. It is not an exact evaluation of over a fully specified three-dimensional wavefunction. An order-of-magnitude convention would give an answer about twice as large; the uncertainty principle by itself specifies a bound, not a unique confinement energy.
Past exam of the sub-atomic physics course of the University of Oxford 2016 1 b a Solution by
Codex 0 2026-10-25
Uniform probability per volume does not give a uniform radial distribution. A shell of radius and thickness occupies volume , so the radial probability density function isIt integrates to one. The second radial moment isThe radial uncertainty scale in a uniform sphere supplies the position-uncertainty scale as instructed by the toy model. It is not literally the standard deviation of the scalar radius: and . Nor is a uniform spatial probability density sufficient to determine a unique momentum space wavefunction. This explicit distinction keeps the order-of-magnitude assumption separate from a fully specified quantum bound-state calculation. Replacing the radial density by a uniform density in would give a different second moment because it omits the spherical volume element.
Past exam of the stochastic modelling of biological processes course of the University of Oxford 2023 3 c ii Solution by
Codex 0 2026-10-25
The integrated friction is exactlyFor every finite , the roots of have negative real parts. The Green-Kubo formula for diffusion therefore gives the diffusion coefficient directly:ConsequentlyIntegrating the limiting velocity autocorrelation function gives the same value, . Computing before taking the limit also avoids having to justify an interchange of the infinite-time integral and the parameter limit.
Past exam of the stochastic modelling of biological processes course of the University of Oxford 2023 3 c i Solution by
Codex 0 2026-10-25
Write , so the friction memory kernel is and has area one for every . Its Laplace transform is . The generalized fluctuation-dissipation relation therefore givesTo verify the pointwise time-domain limit, rather than relying only on Laplace transform convergence, consider . The two rootsare negative and satisfy , . Since and , the inverse Laplace transform isThe coefficient of the slow exponential tends to , and that of the fast exponential tends to zero. HenceThis is the velocity autocorrelation function of an Ornstein-Uhlenbeck process satisfying . The friction memory kernel becomes local in time. Consistently, the even noise autocorrelation tends to in the sense of distributions, fixing the white noise normalization. The finite- right derivative does not converge to the right derivative of the limiting function: there is a short initial relaxation layer.
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 b iv Solution by
Codex 0 2026-10-25
Since , its supremum is nonnegative. For , continuity givesThe events increase with . Part (iii) therefore yields . Letting gives ; letting gives finiteness almost surely. ConsequentlyIts probability density function is , with no atom at zero. Using strict exceedances above also avoids presupposing that the infinite-horizon supremum is attained.
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 b iii Solution by
Codex 0 2026-10-25
Let and . Set . The exit time from is at most the exit time from , so part (ii) gives . Continuity ensures that exactly one of the two different boundary levels is reached at .
The stopped local martingale lies in , hence is a uniformly integrable martingale. The optional sampling theorem, justified at the terminal time also by bounded convergence theorem, givesThus the boundary hitting probability from a diffusion scale function isFor integer , the events increase to . Indeed, on any path with finite , continuity makes the path bounded below on , so some lower barrier has not yet been hit. The reverse inclusion is immediate. Taking the limit in the displayed probability gives
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 b ii Solution by
Codex 0 2026-10-25
The stopped representation from part (a)(ii) and the Itô isometry give the exact second-moment identityThe cross term with the initial value is zero because the stopped stochastic integral has zero mean. This is the useful finite-time computation; evaluating the remaining occupation integral explicitly is unnecessary for proving integrability of .
For ,Combining the second-moment identity with part (i) yieldsLet and use monotone convergence:In particular almost surely, a conclusion obtained without assuming finite exit in the stopping argument.
One can also evaluate the limiting second moment exactly. At exit is either or , soBy bounded convergence theorem and part (i), . ThereforeThe same bound also holds at every finite time, by applying to and taking expected values. It improves the preceding bound to if desired.
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 b i Solution by
Codex 0 2026-10-25
Take , as needed for a nontrivial interval. Since is continuous and adapted, for every level and ,The infimum is attained on this compact interval and can be computed on the countable dense set . It is therefore -measurable. Thus is a stopping time, and so is , because .
By continuity, , even before knowing that is finite. HenceStopping preserves the local martingale property. The bounded local martingale criterion now shows that is a uniformly integrable martingale; its deterministic bound also gives square integrability. In particular,
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 a ii Solution by
Codex 0 2026-10-25
Apply the Itô formula to . Since and , the two drift terms cancel:The integrand is continuous and hence locally square integrable after stopping at bounded levels of . Thus is a positive continuous local martingale, with and quadratic variationThe cancellation is the reason is the relevant scale function for this diffusion.
Past exam of the stochastic differential equations course of the University of Oxford 2025 3 a i Solution by
Codex 0 2026-10-25
Write the diffusion and drift coefficients asBoth are continuously differentiable, withThese derivatives are bounded. For example bounds both absolute values by one. The mean value theorem therefore makes both coefficients globally Lipschitz. They are also bounded, so satisfy the linear growth condition for an SDE.
The global existence theorem for stochastic differential equations with Lipschitz coefficients consequently givesIn particular, there is no finite explosion time. The solution has continuous paths, so all subsequent level-hitting and stopping arguments apply.
Past exam of the stochastic differential equations course of the University of Oxford 2025 2 c ii Solution by
Codex 0 2026-10-25
Put . The change of measure and part (a)(iii) yieldFor a centered normal random variable of variance , a Gaussian integral gives the Gaussian quadratic exponential momentHere and for finite positive , so the required positivity holds, including when . ThusExpanding the two exponentials in terms of hyperbolic functions givesAt this is one. As , the denominator tends to , recovering part (a)(i). At it gives the Laplace transform of the integrated square of Brownian motion. The joint terminal-and-integral transform is the Joint Laplace transform of Brownian square and its time integral.
Past exam of the stochastic differential equations course of the University of Oxford 2025 2 c i Solution by
Codex 0 2026-10-25
Fix . Part (b)(i) makes a probability measure on , equivalent to since . Its density process on is . The Girsanov theorem, applied to the stochastic exponential with integrand , says thatis standard Brownian motion under . The required local square-integrability follows from path continuity, and the true martingale property was proved in part (b)(i).
By part (b)(ii), under the process is therefore the zero-started Ornstein-Uhlenbeck process:This identifies its full law on continuous path space, rather than just its one-time marginal. It is a centered Gaussian process, since it consists of deterministic Itô integrals against Brownian motion. For , the Itô isometry gives its covariance function:In particular, its Ornstein-Uhlenbeck transition distribution at the terminal time is
Past exam of the stochastic differential equations course of the University of Oxford 2025 2 b ii Solution by
Codex 0 2026-10-25
The relation between and is the linear equation with . Multiplication by the deterministic integrating factor and the Itô product rule giveHenceThe second equality follows by semimartingale integration by parts. It expresses as an explicit function of the continuous path of , using only an ordinary time integral. This inversion holds before changing measure; is already a continuous semimartingale under the original measure.
Past exam of the stochastic differential equations course of the University of Oxford 2025 2 b i Solution by
Codex 0 2026-10-25
The expression obtained in part (a)(iii) gives a direct deterministic bound. For every fixed and ,Thus the bounded local martingale criterion makes a true martingale on every finite time interval. More explicitly, if is a localizing sequence, the identities pass to the limit by dominated convergence, using the displayed bound for . ThereforeThis establishes exactly the finite-horizon property needed for the subsequent change of measure.
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