Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 74 3 a Solution Created 2026-10-03 Updated 2026-10-14
Adding the two homogeneous reaction rates gives , so the unique positive Brusselator equilibrium isThe reaction Jacobian matrix at that state isA real two-dimensional linear system has strict asymptotic stability exactly when and : the eigenvalues solve . Real eigenvalues then have positive product and negative sum; a complex conjugate pair has real part . Conversely, stable eigenvalues require those signs.
Since , the Brusselator is homogeneously stable precisely forAt , the linear eigenvalues are , so strict decay is lost through a homogeneous Hopf bifurcation threshold. For larger the equilibrium is unstable. The source's matrix label is here written to distinguish it from the filament modulus in the preceding question.
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 6 1 d Solution Created 2026-10-03 Updated 2026-10-07
Differentiating the explicit characteristic flow map gives the block triangular Jacobian matrixIts Jacobian determinant is the product of its diagonal block determinants. Therefore
Past exam of the mathematics course of the University of Cambridge 2014 ia Paper 2 8B iii Solution Created 2026-09-24 Updated 2026-10-06
The phase plane system is , . Its equilibrium points are for every integer . At such a point the Jacobian matrix and characteristic equation areFor even , the equilibrium point is a stable focus for , with eigenvalues ; it is a stable node for , with two distinct negative real eigenvalues. The excluded value gives the repeated critical case.
For odd , the eigenvalues are . One is positive and one negative, so each is a saddle equilibrium for every . These classifications follow from the linearization of a dynamical system, since all the relevant eigenvalues have nonzero real part for . The even equilibria remain hyperbolic at too, although their linearization then has a repeated eigenvalue; that critical case is excluded from the requested classification.
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 42 2 Solution Created 2026-10-03 Updated 2026-10-14
Work in a translation-invariant pure thermodynamic phase, and write to distinguish inverse temperature from the order-parameter exponent. The connected correlation function isAway from criticality in the massive scalar order channel, it decays exponentially, possibly multiplied by an algebraic factor. An exponential correlation length is defined by when that limit exists. At a continuous transition diverges and the critical decay is algebraic. In an ordered symmetric mixture, a nondecaying contribution can remain; selecting a pure branch prevents confusing it with connected critical fluctuations.
Let and . Differentiating the partition function with the energy term gives the correlation-function susceptibility sum ruleIf the source is instead the dimensionless , the explicit inverse-temperature factor is absent. In continuum physical coordinates the lattice sum is approximately .
Choose a normalized blocking kernel such that , replacing the sum by an integral for continuous variables. A deterministic example is a product of delta functions imposing that each coarse variable equals the average of spins in a block of sites, with its field normalization included consistently. Define the effective Boltzmann weight byKernel normalization makes the blocked partition function exactly equal to the original. Its coarse-grained variables retain the long-distance observables through their defining relation to the original fields. An exact RG step generally generates all symmetry-allowed operators; keeping only a small coupling set is an approximation, not an exact closure assumption. The geometrical coarse lattice hasso its physical volume is unchanged. A subsequent coordinate rescaling may restore the numerical lattice spacing to its initial value, which is the equivalent rescaled-coordinate convention.
Here define as free energy per lattice site, . Exact partition-function invariance givesBecause multiplies the identity operator, a blocking step has , where is the generated constant per blocked site. With this impliesThe identity-operator contribution to renormalization-group free energy includes the eliminated modes' entropy, connected vacuum terms and field-measure normalization. It cannot be discarded when calculating an absolute free energy, even though it cancels out of normalized correlation functions.
There is a useful convention behind the word “singular” in this inhomogeneous equation. After removing , still contains a regular coupling-dependent background. If and , then the genuinely nonanalytic part obeys . Thus the printed inhomogeneous representative and homogeneous singular scaling below are consistent after background subtraction. At resonances or marginal points this subtraction may leave additive or multiplicative logarithms; a strictly homogeneous pure-power form is then qualified accordingly.
A renormalization-group fixed point satisfies . Diagonalizing the linearized map gives scaling coordinates . For increasing coarse-graining length, defines a relevant operator, an irrelevant operator, and a marginal operator, whose fate needs nonlinear analysis. Here the are logarithmic scaling exponents: the eigenvalues of the discrete Jacobian matrix are , not the numbers themselves. The critical surface is the stable manifold flowing into the critical fixed point after every relevant scaling field is tuned to zero. A repulsive renormalization-group trajectory leaves the fixed point along relevant directions and flows toward a different long-distance phase.
For the requested two relevant fields, take and , with . Ignoring nonsingular irrelevant corrections and choosing a total blocking scale , the homogeneous singular free-energy density obeysChoose so the renormalized thermal field is . This provesMetric factors and regular analytic redefinitions of the scaling fields only change amplitudes. Likewise , so at the correlation-length critical exponent is . Two thermal derivatives of give the heat-capacity critical exponent , proving the hyperscaling relationTwo field derivatives also give ; one field derivative gives , and using to set the blocking scale on the critical isotherm gives . These statements assume that no dangerously irrelevant coupling makes the scaling function singular as it is removed. In particular the naive hyperscaling form need not describe the quartic ordered phase above four dimensions, where its stabilizing quartic coupling is dangerously irrelevant. That restriction reconciles this derivation with the mean-field exponents and Question 3.
The scaling form of the connected correlation function is in the continuum long-distance regime. For , tends to a finite nonzero constant. For , it decays exponentially with a possible algebraic prefactor; an isolated massive pole gives the familiar Ornstein--Zernike correlation function tail with a temperature-dependent amplitude. Exponential decay is the essential feature; the same critical algebraic power need not remain the exact large-distance prefactor.
Using the susceptibility sum rule and spherical integration givesFor and an ordinary exponentially decaying scaling function the integral tends to a finite constant: it converges at zero because is finite, and at infinity because of the exponential decay. Microscopic distances add a regular background. Thus , establishing the Fisher scaling relation
For a continuous field, field scaling and anomalous dimension giveThis field renormalization is additional to the canonical engineering factor . It makes . Invariance of the uniform source coupling then gives , agreeing with the susceptibility exponent above. With a convention , the fixed-point choice is ; the sign of the logarithmic derivative depends on this stated convention.
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 76 2 ii Solution Created 2026-10-03 Updated 2026-10-06
To find the threefold phase-locked equilibria, write with ; separating real and imaginary parts givesA steady state satisfiessoWriting and , the amplitude branches areThere are two distinct positive roots for , except at , where and only the upper root is nonzero. Indeed their sum is positive in this range and their product is . Below the fold condition there are none. At equality, there is one positive repeated root , the saddle-node bifurcation limit.
For each positive amplitude, the sine and cosine determine modulo , giving three phases separated by . Thus the source's “two states” means two amplitude branches modulo the threefold spatial symmetry. Generically there are six nonzero complex equilibria, three on each branch, not literally two.
The polar Jacobian matrix at an equilibrium isOn the lower branch, , so it is a saddle equilibrium and unstable. On the upper branch, andbecause existence implies . Therefore every upper-branch equilibrium is asymptotically stable, and every lower-branch equilibrium is a saddle equilibrium, away from the degenerate endpoints. The eigenvalues are unchanged by the smooth polar coordinate transformation at . The origin, not covered by those coordinates, has eigenvalues and is stable for and unstable for .
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 16 4 Solution Created 2026-10-03 Updated 2026-10-14
On an affine chart , the module of Kähler differentials is generated by symbols subject to -linearity and . It represents -derivations. These modules commute with localization, so their associated quasi-coherent sheaves glue to the Kähler differential sheaf . It is coherent: if and , then it has the finite presentation of a moduleFor a closed point , put with maximal ideal and residue field . The Zariski tangent space is , equivalently . A derivation kills constants and , so it factors through ; conversely every linear functional on defines such a derivation by the product rule. The universal property of Kähler differentials therefore identifies this space withIn particular, , the algebraic cotangent space.
A point is a smooth point of a variety when its local ring is a regular local ring; over this algebraically closed field this says . Tensor the finite presentation of a module above with . The tangent space is the kernel of the Jacobian matrix , hence has dimension . This proves the Jacobian criterionFor a smooth irreducible variety , choose at each point an invertible -minor and shrink the affine chart so that it remains invertible. Its relations eliminate of the generators of , yielding a surjection . At the generic point, its target has dimension : over a perfect ground field, a separating transcendence basis of the function field has differentials forming a basis. Equivalently this follows from the assumed density of the smooth locus. The kernel therefore becomes zero over the fraction field of the integral domain . As a submodule of , it is a torsion-free module, so it is already zero. Thus these maps give local isomorphisms with , proving local freeness of differentials on a smooth variety with rank .
For an affine chart , write and . The restriction of a module sheaf to a closed subvariety is . The Conormal exact sequence for Kähler differentials isIt follows from the generators and relations: passing to imposes precisely the additional relations for . The first map is well defined because lies in . Glue these exact module sequences, using exactness of localization, to obtainIn the final assertion, interpret locally principal subvariety as a proper local hypersurface. Its ideal on each chart is with . Since is an irreducible variety and reduced, is a non-zero-divisor, and , , is an isomorphism. These local rank-one descriptions make the conormal sheaf invertible.
Because is not contained in the singular locus of , there is a dense open subset of where both and are smooth varieties. At a closed point there, by the Krull principal ideal theorem. The tangent description then forces . Hence the conormal map is injective at the generic point of . Its kernel is a subsheaf of a line bundle on the integral variety , so it is a torsion-free sheaf; a torsion-free sheaf with zero generic fibre is zero. This proves conormal injectivity for a generically smooth Cartier divisor. If zero equations were allowed in the phrase locally principal, would be a counterexample to invertibility; the proper-hypersurface convention is essential.
Past exam of the mathematics course of the University of Cambridge 2015 ii Paper 2 5E Solution Created 2026-09-24 Updated 2026-10-06
At a positive spatially homogeneous equilibrium point, and . Hence . The reaction Jacobian matrix there isThe two-dimensional Routh-Hurwitz stability criterion gives strict linear asymptotic stability for , and instability for .
For a spatial mode with , the reaction-diffusion linearization is . When , its trace is negative for every , whileA growing mode exists precisely when this quadratic is negative at some . Its minimum must occur at positive , and must be strictly negative, givingWith , the latter inequality becomes . Selecting the root compatible with yields the Turing instability thresholdThe unstable band isOn a bounded domain a boundary condition must permit a mode in this band. Equality at the threshold gives a neutral mode, not positive growth.
At , the homogeneous linearization has purely imaginary eigenvalues, so it is not strictly linearly asymptotically stable. If “stable” is read as nonlinear stability, the boundary deserves attention. Put , , and , . The exact equations give , , where ,Expanding through cubic order, cancels the quadratic displacement. The correction from the quadratic change in also integrates to zero, because it is proportional to . Since , the Poincaré return map isThis cubic return-map stability of a weak focus shows that is a weak attracting focus. The strict linear range used in the Turing instability calculation is ; the positive homogeneous equilibrium is also nonlinearly asymptotically stable at the boundary . For that boundary, for every nonzero spatial mode. The same strict Turing instability threshold and unstable band therefore also apply there, with the homogeneous mode understood through nonlinear stability.
Past exam of the mathematics course of the University of Cambridge 2015 ii Paper 3 11E c Solution Created 2026-09-24 Updated 2026-10-06
Assume first and . The nonnegative equilibrium points areand, when both coordinates are nonnegative,The Jacobian matrix at has eigenvalues , so cannot attract an initially positive uninfected population. At the eigenvalues are . At , for , they are and . At an interior , the equilibrium equations reduce the Jacobian matrix toThus the coexistence equilibrium is asymptotically stable precisely when .
For positive initial populations these local results identify the global outcome. The relation bounds all trajectories. With the Dulac function , the divergence of the rescaled vector field is , excluding interior periodic orbits. Boundary saddles cannot attract an interior trajectory except at the merging thresholds. The resulting long-term outcomes areAt , merges into ; at , it merges into . The merged equilibria still attract interior trajectories, but convergence along the zero-eigenvalue direction is algebraic. For example at , put , . The local centre manifold has , and . At the other threshold, using , , gives and .
The invariant axes also matter: leads to whenever ; leads to for and to extinction for . At , coincides with . If , disease declines for and any initially positive tends to . If also , every point is an equilibrium and the initial population proportions are preserved.
Past exam of the mathematics course of the University of Cambridge 2015 ii Paper 3 20F i Solution Created 2026-09-24 Updated 2026-10-06
For with vanishing ideal , the Zariski tangent space at isIt is the kernel of the Jacobian matrix of generators for the ideal, or intrinsically the dual of . A point is a singular point of an algebraic variety when this tangent dimension exceeds the local dimension of the variety; otherwise it is nonsingular. For an irreducible affine variety the local dimension at a closed point equals its dimension.
Past exam of the mathematics course of the University of Cambridge 2015 ii Paper 3 28B Solution Created 2026-09-24 Updated 2026-10-06
There are axis equilibria when , and for every . At an axis equilibrium the eigenvalues of the Jacobian matrix are and . Thus a negative axis root is a stable node when and a saddle when . A positive axis root is an unstable node when and a saddle when . Equalities give a zero eigenvalue.
At ,It is a saddle for . For , it is stable if , unstable if , with real node eigenvalues for and a focus for . At the node-focus transition is not a bifurcation of hyperbolicity when . For , has imaginary eigenvalues when and the linearized system is a centre. For , the candidate local bifurcation values are . When these zero-eigenvalue events coincide at , while the off-axis equilibrium also has zero-real-part imaginary eigenvalues for every .
The centre manifold theorem reduces local dynamics near zero-real-part eigenvalues to an invariant manifold tangent to their eigenspace; transverse directions with nonzero real parts retain their stable or unstable character. For a varying parameter, adjoin and use an extended centre manifold for a parameter.
Take . At near the origin, is an exact extended centre manifold. Its reduced equation isThis is a saddle-node bifurcation: no nearby axis equilibria for , one at zero, and two for . The transverse eigenvalue is positive, so the negative root is a saddle and the positive root an unstable node for small positive .
At , put , , . Then , , . Write the extended centre manifold as . Its invariance equation is . Matching degrees givesHence the reduced dynamics areThe exact equilibrium branches are and , crossing at zero and exchanging stability in the centre direction. This is a transcritical bifurcation; the transverse eigenvalue remains positive. For the axis branch is an unstable node and the off-axis branch a saddle; for their roles reverse locally.
When , the two parameter values merge and the origin at has a double zero eigenvalue with nonzero nilpotent linear part. The centre manifold is then two-dimensional, so the preceding one-dimensional classifications cannot simply be reused. Also the off-axis branch has imaginary eigenvalues for every , with identically zero trace: this is not a generic Hopf bifurcation obtained by varying . These degeneracies already follow without computing a new normal form.
Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 2 2A b Solution Created 2026-09-24 Updated 2026-10-06
Use the inverse change of variables and . The chain rule gives the differential operatorsThe mixed partial derivatives cancel, assuming the twice continuously differentiable solution appropriate here. Consequently .
The transformed equation isThe factors of belong to the inverse Jacobian matrix; using the forward transformation instead would give an incorrect factor.
Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 3 10C Solution Created 2026-09-24 Updated 2026-10-06
For a smooth map , the Jacobian determinant is the determinant of its Jacobian matrix . In Einstein summation convention,Differentiate the supplied expression for by the product rule. The term differentiating vanishes because is symmetric in , while is antisymmetric; the term differentiating vanishes similarly. Only differentiation of remains:The last equality follows by the cyclic relabelling , which has positive sign. This proves the Jacobian determinant as a divergence identity.
For a composition , the chain rule givesTaking determinants yieldsFor the first-order perturbation, use spatial derivative control in perturbations of the identity map: the usual smooth-family interpretation gives locally. Multilinearity of the determinant shows that its linear term comes from choosing one column of and all other columns from . This gives the trace:The regularity qualification matters: a pointwise remainder for maps does not by itself give an remainder for spatial derivatives. For instance has a uniform displacement and , but its Jacobian determinant at is for . Thus the first expansion needs the remainder in locally, or an equivalent smoothness assumption on the family.
Under the subsequent group law, is the identity and is the inverse of . Write . Applying the composition formula to and the short-time expansion gives the Jacobian evolution of a smooth flow:HenceIf only the pointwise generator expansion is assumed initially, the group law still gives . Uniqueness and smooth dependence for this smooth ordinary differential equation make it a smooth flow map, thereby justifying the differentiated expansion used above. Thus a divergence-free generator hasBy the change of variables formula, these maps preserve ordinary Euclidean volume and orientation. This is the Euclidean instance of a volume-preserving vector field.
Past exam of the mathematics course of the University of Cambridge 2016 iii Paper 303 2 Solution Created 2026-10-03 Updated 2026-10-14
Use dimensionless interaction couplings in the exponent of the Boltzmann weight. In the following formulas denote the physical interaction energies divided by if that factor has not already been absorbed into the displayed Hamiltonian. This convention is required for temperature-independent numerical fixed-point coordinates.
Split the original square lattice into retained sites with even and eliminated sites with odd , where coordinates are in units of . Every nearest-neighbour bond joins to , whereas a diagonal next-nearest-neighbour bond stays within one sublattice. Denote retained Ising spins by and eliminated Ising spins by . For fixed retained Ising spins defineThe blocked Boltzmann weight in the checkerboard decimation of the square-lattice Ising model isUse the independent uniform product measure on Ising spins on to perform a cumulant expansion. Its one-spin mean vanishes, and . Consequently the first-order term, the first-order eliminated-sublattice term, and the mixed term vanish. To the requested order,Here the truncation keeps and the linear term in ; equivalently count as order . At higher orders the interaction family will generally not close.
Each eliminated site has four retained neighbours, soIts six distinct neighbour pairs comprise four corner pairs at distance and two opposite pairs at distance . A given retained diagonal pair shares two eliminated centres; a given opposite pair shares only one. Thus the generated pair couplings are for diagonal pairs and for axial pairs separated by two original spacings. The original interaction directly contributes to each retained diagonal pair. No single-spin term survives spin inversion symmetry, and no three-spin or four-spin term is present in this second cumulant. This proves closure on exactly two nonconstant interactions at the retained order.
The primitive vectors of the retained square lattice are and . Rotate the axes by degrees and rescale lengths by ; retained diagonal pairs become nearest neighbours, and the axial distance- pairs become next-nearest neighbours. With , the leading checkerboard Ising decimation recursion is thereforeThe constant part of the weight is also determined: , so the original partition function equalsto the same order in the logarithm of the weights. That normalization changes free energy but not the retained-spin interaction operators. If physical energy couplings are kept instead, at fixed the relations read and .
Two shared eliminated neighbours generate a nearest-neighbour bond; one generates a next-nearest-neighbour bond after checkerboard decimation
. Details. The fixed-point equations are and . Their only finite real solutions areThe origin is the high-temperature fixed point; its Jacobian matrix is , with both multipliers zero. The nontrivial candidate critical point is . Linearize the discrete renormalization-group transformation there:The characteristic polynomial is , givingEigenvectors may be chosen as . The positive eigenvalue greater than one is the relevant direction of a fixed point; the other is irrelevant because its magnitude is less than one. Its negative sign only alternates the sign of the perturbation between steps. For a discrete map the magnitude relative to one decides relevance, not the sign rule used for continuous beta-function eigenvalues.
Let be the relevant thermal scaling coordinate, so to first order. A correlation length measured in restored lattice units satisfies . If , then . Hence the thermal exponent from a discrete renormalization map isThis is the value predicted by the stated low-order real-space renormalization group, whose nontrivial fixed point is evaluated beyond the strictly infinitesimal-coupling limit. It is an approximation, not an exact solution of the full square-lattice Ising model.
Past exam of the mathematics course of the University of Cambridge 2017 ia Paper 2 6C a Solution Created 2026-09-24 Updated 2026-10-14
Use the complete system in the PDF: the TeX omits . Both coordinate axes are invariant, and the equilibrium points are , and . The Jacobian matrix isAt its eigenvalues are , and at they are : both points are saddle equilibria. At the coexistence point,Thus the interior point is a stable spiral. The nontrivial nullclines are and : increases below the first and decreases above it, while increases to the right of the second and decreases to the left. The rotation near coexistence is counterclockwise.
A local linearization by itself does not prove that every interior solution has the same limit. For this logistic predator-prey model, let and use the Lyapunov functionThe inequality makes nonnegative, with equality only at coexistence. Its sublevel sets are compact inside the positive quadrant, because diverges both at the axes and at infinity. Direct differentiation cancels the predator-prey cross terms and givesOn one has , and remaining there requires . The largest invariant subset is therefore the coexistence point. The LaSalle invariance principle provesOn , decays as toward the origin. On , the logistic differential equation takes every to one. The origin itself stays fixed. These boundary trajectories are the exceptions to the interior convergence statement.
Past exam of the mathematics course of the University of Cambridge 2017 ib Paper 4 12G Solution Created 2026-09-24 Updated 2026-10-14
A function has a Fréchet derivative at if there is a linear map such thatThe remainder condition is a limit in all directions at once, not merely the existence of partial derivatives.
For the stated scalar two-variable result, fix and choose a small rectangle contained in the open set . Split the increment into two coordinate segments. Applying the one-dimensional mean value theorem on each segment yieldsfor , omitting a term if its increment is zero. Subtract . By continuity of the partial derivatives, for any the remainder has modulus at most for sufficiently small increments. This proves differentiability, with Jacobian matrix .
Away from the origin the specified rational function has a nonzero denominator and is smooth. At the origin, and , so the partial derivatives are , . Any Fréchet derivative there would therefore be . However,ThusThe failure is not merely a failure of continuity: at the origin, so the function is continuous there.
Past exam of the mathematics course of the University of Cambridge 2017 ib Paper 4 3G Solution Created 2026-09-24 Updated 2026-10-14
The chain rule for Fréchet derivatives states that if is differentiable at and is differentiable at , thenThe composition on the right is a composition of linear maps, equivalently a product of Jacobian matrices in coordinates.
Apply the chain rule to the affine function . The resulting derivative isIf the two partial derivatives agree everywhere, . The mean value theorem makes constant on . Define , which is itself differentiable by the chain rule. Taking gives , and thereforeNo continuity of the partial derivatives beyond the assumed differentiability is needed.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 115 1 c Solution Created 2026-10-03 Updated 2026-10-05
A vector bundle morphism over is a smooth map with whose restriction is linear for every . A vector bundle isomorphism is such a map with a smooth bundle-morphism inverse. Equivalently, a fiberwise bijective smooth bundle morphism is an isomorphism: in local vector bundle trivializations it is multiplication by an invertible smooth matrix, and its inverse matrix is smooth.
For a diffeomorphism , defineThe derivative is a linear isomorphism by the chain rule, since . In manifold charts, is represented by the smooth Jacobian matrix of , so it is a smooth bundle morphism. Its inverse iswhich is also smooth and fiberwise linear. ConsequentlyThis identifies the bundles over the same base ; the tangent map by itself is a map from to covering .
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 203 2 c Solution Created 2026-10-03 Updated 2026-10-05
For real smooth functions of compact support in a planar domain , use the Dirichlet inner productChanging the positive normalization factor does not change orthogonality. For complex functions, insert complex conjugation in the second factor to obtain the corresponding Hermitian form.
Let be a conformal bijection, and let be smooth functions of compact support on . Its real Jacobian matrix is , where is a rotation. By the chain rule,The change of variables formula has Jacobian determinant , so this factor cancels:This proves conformal invariance of the planar Dirichlet inner product. By completion it is also an isometry between the corresponding Dirichlet energy spaces. It asserts invariance of the energy form, not of the inhomogeneous Sobolev norm, whose term has a different transformation rule.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 303 1 b Solution Created 2026-10-03 Updated 2026-10-05
Discuss the zero-field phase boundaries, taking and writing , , . This qualification matters because a conjugate field generally rounds the zero-field continuous transition. Nonzero stationary points satisfy .
For , the continuous phase transition occurs atOn the side the only stable phase is ; on the side the equilibrium global minima are with . The magnetization therefore grows continuously from zero as changes sign.
For , the first-order phase transition instead occurs while is positive. At phase coexistence, and are equally deep global minimum points. With , stationarity and equality of free energies giveEliminating gives , henceAt this coexistence value, the sextic even Landau potential factors as . This verifies that the three equal stationary values are global minima. Above this coexistence value of the disordered phase wins; below it the ordered phase wins, with a finite jump in the phase-selected magnetization. The values and are the disordered and ordered spinodal points, respectively, not the coexistence boundary: the latter follows from the repeated root of .
The two transition loci meet at the tricritical point,Two independent control parameters such as and can tune these two conditions. In a generic local phase diagram their coefficient map has a Jacobian matrix of rank two at the intersection; unspecified functions and do not by themselves determine the geometric orientation of the boundaries. The sextic term stabilizes this intersection and the negative-quartic first-order side.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 303 2 b Solution Created 2026-10-03 Updated 2026-10-05
The fixed-point equation for factors asThe cubic derivative is for every real ; its values at zero and one have opposite signs. Thus the possible first coordinates in the stated domain are exactly .
For finite , the second fixed-point equation is . The renormalization-group fixed points are consequentlyThere are six finite points and three boundary points at infinity. Infinity is interpreted in a compactified domain, not as an ordinary real number. The reciprocal coordinate at infinite coupling transforms as , making a well-defined boundary fixed point.
At any finite fixed point , let , . The Jacobian matrix linearization isThe only point with both coordinates strictly interior is , . Using its fixed-point relations, the matrix becomesIts eigenvalues are and . In particular, because the increasing cubic is already positive there, so (numerically about ). The corresponding eigenvectors can be chosen as and . Both discrete multipliers exceed one, henceBoth perturbations are relevant directions of a fixed point under repeated coarse-graining, rather than one stable and one unstable direction. A length-rescaling factor was not specified, so these multipliers should not be assigned numerical critical scaling exponents without additional information. At , the multiplier is zero; at or the other multiplier is also zero. Thus the four corner points attract locally within the domain, the two positive finite boundary points at are saddles, and the points have one repulsive and one attractive direction.


