Apply the continued-fraction algorithm. Since ,The successive complete quotients areandTaking one more reciprocal returns to , so the continued fraction of the square root of eleven is
WriteThe first convergents are and , whenceThe continued fraction convergent recurrence iswhere for even and for odd .
SetIf is even and , thenbecause . If is odd and , thenbecause . The base case and induction prove the alternating multiplier recurrence for convergents of the square root of eleven:
Solved by gpt-5.6-sol high.
LetThe function is continuous, withThe intermediate value theorem gives such that , and hence . This proves the fixed-point property of a closed interval.
Now suppose . For any , choose with and . Applying the intermediate value theorem to on the interval with endpoints gives a point with . Thus is a surjective function.
Solved by gpt-5.6-sol high.
Let be a homeomorphism, and let be continuous. The conjugate mapis continuous. By hypothesis it has a fixed point . Thereforeand applying gives . Hence every continuous self-map of has a fixed point. This is the homeomorphism invariance of the fixed-point property.
Solved by gpt-5.6-sol high.
The Brouwer fixed-point theorem for the closed unit disc states that every continuous maphas a fixed point.
Solved by gpt-5.6-sol high.
The closed unit disc has the fixed-point property by the Brouwer fixed-point theorem. The annulus admits the fixed-point-free rotation of an annulus, for examplewhich is continuous, maps the annulus to itself, and has no fixed point because the origin is not in the annulus. If the disc and annulus were homeomorphic, the homeomorphism invariance of the fixed-point property would give the annulus the fixed-point property, a contradiction. Therefore they are not homeomorphic.
Solved by gpt-5.6-sol high.
No. TakeIt contains more than one point and has the fixed-point property of a closed interval, but it is not homeomorphic to the closed unit disc. Indeed, deleting any point with disconnects , so such a point is a cut point. Deleting one point from a two-dimensional closed disc leaves a path-connected space. Since being a cut point is preserved by homeomorphisms, the two spaces cannot be homeomorphic. This gives the required counterexample.
Solved by gpt-5.6-sol high.
For the standard dot product on , the dual code isIt is an intersection of kernels of linear functions, and is therefore a linear code.
Let denote cyclic right shift. If and , thenA cyclic code is closed under both and , so and the right-hand side vanishes. Hence , proving directly that the dual of a cyclic code is cyclic.
Identify words with polynomials in . If the generator polynomial of a cyclic code is the monic divisor andthen the generator polynomial of is the monic reciprocalEquivalently, the parity-check polynomial of one code becomes, after reversal, the generator polynomial of its dual.
Solved by gpt-5.6-sol high.
Over , subtraction equals addition. The polynomial has the factorizationThe two cubic factors have no root in , so they are irreducible, and they are reciprocal to one another. PutEvery cyclic code corresponds to one monic divisor of . The complete list isThus the two cubic generators give the two cyclic coordinate orientations of Hamming's code. Their duals have generators and and are the simplex codes. The remaining four are the familiar whole-space, even-weight, repetition, and zero codes. This is the complete classification of binary cyclic codes of length seven.
Solved by gpt-5.6-sol high.
A grammar is a right-linear regular grammar when every production has one of the formswhere and . Thus a production has at most one variable on its right-hand side, and that variable is at the right end.
Solved by gpt-5.6-sol high.
We prove the claim by induction on the length of the grammar derivation from . At length zero the sentential form is , which has the required form.
Suppose the current sentential form is . Because is terminal, the only symbol to which a production can apply is . A production producesagain a terminal word followed by one variable. A production produces the terminal word . Once a completely terminal word is reached, no further production can apply. The induction proves the sentential form of a right-linear regular grammar: every reachable is either or .
Solved by gpt-5.6-sol high.
In every derivation beginning at , the terminal prefix remains unchanged because no production has a terminal on its left-hand side. By the sentential-form result, each step rewrites the sole variable at the right and appends terminals immediately before its successor variable. Henceforces for some . Removing the inert prefix from every sentential form in the derivation gives
Solved by gpt-5.6-sol high.
An accepting derivation in a right-linear grammar has the formwith one active variable until the final terminal production.
If no variable repeated on any accepting derivation, an accepting derivation could contain at most variable occurrences. Since the production set is finite, only finitely many such derivations and hence finitely many terminal words would exist. The hypothesis that is infinite therefore supplies an accepting derivation in which some variable occurs twice.
Split this derivation at the two occurrences:where . The first segment makes an accessible variable of a regular grammar, the middle segment makes it a looping variable of a regular grammar, and the last makes it a terminable variable of a regular grammar. Thus has all three properties, proving the accessible looping terminable variable criterion.
Solved by gpt-5.6-sol high.
Use the R linear-model formula with only its implicit intercept:
fit1 <- lm(log(price) ~ 1, data = cars)This models every log-price by one common mean plus an error term.
Solved by gpt-5.6-sol high.
The other quantitative columns are mpg, psngr, length, width, and weight, so use
fit2 <- lm(log(price) ~ mpg + psngr + length + width + weight, data = cars)This is a normal linear model with an intercept and five slopes.
Solved by gpt-5.6-sol high.
Treat make as a categorical predictor, converting it to a factor explicitly if necessary:
fit3 <- lm(log(price) ~ mpg + psngr + length + width + weight + factor(make), data = cars)The models are nested. The first nested-model F-test compares fit2 with the intercept-only fit1. Adding the five quantitative predictors reduces the residual sum of squares from to , withThere is overwhelming evidence that these quantitative car properties jointly improve the model.
The second test compares fit3 with fit2. Adding make reduces the residual sum of squares further to , withThus manufacturer has a highly significant effect even after adjusting for the five quantitative properties, and fit3 is preferred among these nested models.
There are observations because the intercept-only model has residual degrees of freedom. The make term uses additional degrees of freedom. By the degrees of freedom of a factor predictor, a factor with represented levels contributes degrees of freedom when an intercept is present. Henceunique manufacturers occur in the dataset.
Solved by gpt-5.6-sol high.
Put . Linearizing the morphogen reaction-diffusion equation at givesSeek separated modes . ThenThe mixed Dirichlet-Neumann modes on an interval areIndeed, the Dirichlet condition selects sine functions, while the Neumann condition requires . Their growth rates areThe largest growth rate is the lowest mode,Linear stability requires , after which all higher modes also decay. Therefore the critical length for a linearly growing morphogen isEquality gives a neutral lowest mode, while a larger domain is linearly unstable.
Solved by gpt-5.6-sol high.
The Papperitz symbolspecifies a second-order Fuchsian differential equation. The first row lists its three distinct regular singular points ; is the independent variable. The two entries below each singular point are its characteristic exponents. Thus local solutions have leading behaviorsand, with the usual convention at infinity,When an exponent difference is an integer, a logarithmic second solution may replace the naive second Frobenius power. The entries obey the Fuchs relationFor a second-order equation with exactly three regular singular points, these exponent data determine the equation up to multiplication by a nonzero function; there is no accessory parameter. The symbol is therefore the one for the Gauss hypergeometric equation. Its distinguished solution is the exponent-zero solution analytic at zero and normalized to one there. For the ordinary power-series definition one assumes , with exceptional parameter values handled separately or by continuation.
Now putThe hypergeometric equation in has exponent pairsThe Möbius transformation of a Papperitz symbol sendsso has symbol
On the other hand, has exponent pairsat . Multiplication by applies the dependent-variable rescaling of a Papperitz symbol: it adds to both exponents at and subtracts from both at infinity. Hencehas exactly the same three exponent pairs as .
Both functions are analytic near and equal one at , so uniqueness of the normalized exponent-zero hypergeometric solution gives the Pfaff transformationThe identity first holds near zero with the branch of equal to one there, and then extends by analytic continuation on any domain where compatible branches are chosen.
Solved by gpt-5.6-sol high.
An adiabatic invariant remains constant to leading order when a system parameter changes on a timescale much longer than one period. For a periodic one-degree-of-freedom system, the adiabatic invariance of the action supplies such an invariant.
The momentum magnitude between collisions is . A complete orbit crosses the gap once in each direction, so the unnormalized action used in the question isConsequentlybecause the speed is and the round-trip distance is .
When varies adiabatically, conservation of the adiabatic particle between moving parallel walls action givesA moving wall does work at each collision: an approaching wall raises the particle's energy and a receding wall lowers it. Elasticity holds in the instantaneous rest frame of the wall.
Solved by gpt-5.6-sol high.
The Flatness problem is that the observed cosmological density parameter is close to , although in an ordinary decelerating universe any departure from one grows with time. Extrapolation backward therefore requires implausibly precise early cancellation of the curvature term.
The cosmological perfect-fluid continuity equation isConsequentlyFor an expanding universe . Ifthen increases. The Friedmann equation impliesIt therefore decreases during this period, driving toward one. By the Friedmann acceleration equation, the same condition gives when the cosmological constant is included in the effective fluid. This is the inflationary solution of the flatness problem.
For the scalar field, the slow-roll approximation meansThe equations reduce toTaking the positive-field branch gives , and thereforeWith ,Now integrate :Thus the quadratic-potential slow-roll solution isFinally,so equivalently
Solved by gpt-5.6-sol high.
Let the unknown qubit be . Alice holds this qubit and her half of the shared Bell state , while Bob holds the other half.
Alice performs a measurement of her two qubits in the Bell basis and sends the two-bit outcome to Bob through the classical channel. For the shared state , the teleportation with the psi-plus Bell state correction table isup to physically irrelevant global phases. Here and are the Pauli X gate and Pauli Z gate. After the indicated correction, Bob's qubit is . This is quantum teleportation; no physical copy of the unknown qubit is sent.
Solved by gpt-5.6-sol high.
Let denote Alice's unknown input qubit and her GHZ qubit. Expanding the four-qubit state in the Bell basis of giveswhere a global sign in the last term is immaterial.
For outcomes and , Bob and Charlie already haveFor either outcome, both apply the Pauli X gate. Since exchanges and , the branch becomes and the branch becomes , up to a global phase. This proves the Bell measurement on one qubit and one leg of a GHZ state result.
Finally, tracing out Charlie givesfor either sign. This reduced state has rank two exactly when and . By the entanglement criterion for a two-term correlated state,
Solved by gpt-5.6-sol high.
For an odd prime , the Legendre symbol isEuler criterion states thatIf , both sides vanish. Otherwise choose a primitive root and write . Since ,The power is a square exactly when is even, proving the criterion. Taking gives the first supplementary law for quadratic reciprocity
Solved by gpt-5.6-sol high.
Because and commute, the matrix binomial theorem givesFor prime , every intermediate coefficient is divisible by , proving the prime-power binomial congruence for a matrix
By Euler criterion, . In either case the preceding congruence gives . Since has the same parity as for , this is the second supplementary law for quadratic reciprocity
Solved by gpt-5.6-sol high.
Write . When , the first supplementary law for quadratic reciprocity gives , so . Pairing with givesThe sum of the nontrivial character over all nonzero residue classes is zero. Because its two half-sums are equal when ,Hence
Solved by gpt-5.6-sol high.
By Euler criterion,Choose a primitive root . For any integer not divisible by ,For , the exponent satisfies . ThereforeTogether with part (i), this is the weighted complete Legendre-symbol sum.
Solved by gpt-5.6-sol high.
Put . Because , the supplementary laws giveLet and be the quadratic residues and nonresidues, respectively, among , and putSince is a nonresidue, the complete set of least positive quadratic residues isIf , its sum is
Since is a residue, multiplication by two permutes modulo . Exactly the upper-half residues cross when doubled. Equality of the sums before and after reduction therefore givesComparing the two formulas yieldsAs ,This is the lower-half quadratic-residue sum for primes congruent to seven modulo eight.
Solved by gpt-5.6-sol high.
For , the triangle inequality and the Cauchy-Schwarz inequality giveThus is a continuous function. The unit sphere in the finite-dimensional Euclidean normed vector space is compact. Moreover, implies that the polynomial vanishes identically, so every coefficient is zero. Hence is strictly positive on the unit sphere. By the extreme value theorem, it has a positive minimum
Solved by gpt-5.6-sol high.
Write each polynomial of degree at most as and defineThis is a continuous function, and the reverse triangle inequality together with part (a) givesConsequently is a coercive function. Choose so large that outside the closed Euclidean ball of radius . That ball is compact, so the extreme value theorem supplies a minimizer there. Then is a best uniform approximation to among polynomials of degree at most .
Solved by gpt-5.6-sol high.
The Chebyshev alternation theorem says that a polynomial of degree at most is a best uniform approximation to if and only if there are pointsand a sign for whichThis is the equiripple criterion.
To prove sufficiency, put and suppose that another polynomial of degree at most satisfies . At every , the difference must have the same sign as ; hence its signs alternate at the ordered points. The intermediate value theorem then gives at least one distinct root of in every interval , for at least roots in all. The Lagrange root bound over a field forces the nonzero polynomial to have degree at least , contradicting . Therefore no gives a smaller error, and is best.
Solved by gpt-5.6-sol high.
As printed, this part contains an indexing error. The displayed product ends at , but the hypotheses contain alternating intervals indexed by . On the first intervals the printed polynomial has sign , while on the last interval it has sign rather than the required . For example, when the printed product is the constant , which cannot reduce a negative extremum of on the final interval. The intended polynomial isWe prove the stated conclusion with this correction.
Each root lies in the gap between the st and th active intervals. Therefore has sign throughout . In particular, wherever , the numbers and have the same sign, and is nonzero.
LetThese are compact sets. On their union, the continuous function has a positive minimum. Hence, throughout some open neighbourhood of , subtracting a sufficiently small positive multiple moves strictly towards zero and gives . On the compact complement , continuity gives a uniform margin for some . Taking alsoshows that there. Thusfor every sufficiently small .
It remains to prove necessity in the Chebyshev alternation theorem. Let be a best approximation of degree at most , put , and let . If has no sequence of extrema with alternating signs, its sets of positive and negative extrema can be collected, from left to right, into alternating compact groups with . Choose disjoint intervals containing those groups and separated by regions on which . After replacing by if necessary, they satisfy the displayed hypotheses. The corrected construction produces a polynomial of degree and a small such thatThis contradicts the assumed optimality of . Therefore every best polynomial has the required alternating extrema.
Solved by gpt-5.6-sol high.
Let be the first team's goal count in match , let be row of the design matrix, and let be the regression coefficient vector. The fitted Poisson regression assumes that the are independent random variables withThe likelihood function maximized by
glm is thereforeSolved by gpt-5.6-sol high.
None of the displayed one-coefficient Wald tests for
team1_form rejects at the significance level. That does not establish that formation has no effect: the relevant null hypothesis sets all nine displayed team1_form coefficients to zero simultaneously, and several individually imprecise estimates may still be jointly significant. One should compare the fitted model with the nested model omitting team1_form by an analysis of deviance for nested generalized linear models, equivalently a likelihood-ratio test of those joint restrictions.Solved by gpt-5.6-sol high.
Writing for
team1_goal and for team1_xg, the first hypothesis concerns only the expected value:The second specifies the entire conditional probability distribution:with independence between matches as assumed in the question. The Poisson limit theorem, often called the law of small numbers in this setting, suggests a Poisson distribution when a goal count is the sum of many approximately independent rare scoring opportunities.Solved by gpt-5.6-sol high.
Under , the slope in this through-origin linear regression is . Its observed Wald statistic isThe corresponding two-sided p-value is about , so the fit does not give evidence against at the significance level.
The usual least-squares standard error assumes constant conditional variance. Goal counts are counts, and under the natural Poisson distribution model their variance equals their mean , so observations with different expected goals are heteroscedastic. The reported homoscedastic standard error is therefore doubtful; a heteroscedasticity-robust calculation or a suitable count model would be more credible.
Solved by gpt-5.6-sol high.
The fitted Poisson regression hasso that . Hypothesis requires both restrictionsas well as the adequacy of the assumed Poisson distribution. The displayed interval addresses only the single slope restriction . Even if the separate interval for the intercept also contains zero, separate one-parameter intervals do not implement the relevant joint hypothesis test, because the two coefficient estimators can be correlated. One should test jointly, for example by a likelihood-ratio test, and separately assess the Poisson goodness of fit. Thus the slope interval alone cannot decide whether is rejected at the level.
Solved by gpt-5.6-sol high.
This is a birth-death process with birth and death ratesIts transition diagram has the two arrowsThe gain into state comes from a death in state or a birth in state , while the loss is the sum of both rates out of state . The birth-death master equation is consequently
Multiplying by , summing over the nonnegative integers, and shifting the summation indices shows that each birth contributes and each death contributes . Thus the first-moment equation of a birth-death process givesAt a stationary state, use the variance identity . Solving the resulting quadratic equation givesThe minus root is inadmissible whenever it is negative, namely when . Equality would give zero mean, which is also incompatible with a positive immigration rate , so for the minus branch requires even to be a possible mean.
For a continuum approximation, write and . Applying the Kramers-Moyal expansion to the two gain terms and retaining derivatives through second order gives the Fokker-Planck equationwhere the negative drift and infinitesimal jump variance areThis truncation requires the typical population and the scale on which varies to be much larger than the unit jump size, with the rates varying smoothly across that scale.
The positive zero of isso in particular as . Put . The linear noise approximation useswhereand, because ,In a stationary state with zero Fokker-Planck probability current,Its normalized solution is the normal distributionIt follows that
These estimates agree with the exact stationary first-moment relation on its plus branch to leading order: inserting gives . Moreover,Thus the stationary mass lies far from the boundary , is narrow relative to its mean, yet changes across many lattice sites. These are precisely the large-population and slow-variation conditions needed for the diffusion approximation.
Solved by gpt-5.6-sol high.
A transformation of phase space is canonical when it preserves the symplectic form, or equivalently all Poisson brackets. For one degree of freedom this isequivalently .
Suppose a type-two generating function for a canonical transformation definesThenEquality of the mixed partial derivatives gives , so the transformation is canonical wherever it is locally invertible.
Forthe fundamental theorem of calculus and differentiation under the integral sign giveThusand in particular .
For the unit-frequency simple harmonic motion, the transformed Hamiltonian is simply . Hamilton's equations becomeThereforeand transformation back gives the familiar solution
Now consider the weak quartic oscillatorChoose the modified generating functionIt givesso the transformed Hamiltonian is again . Hence and . Expanding the square root with the Taylor series givesDifferentiation with respect to therefore yieldswhere
Set andWriting and expanding the inverse sine relation at givesExpanding similarly givesConsequentlySince , this is the required expression. The formula is understood away from turning points where and the ratio itself is singular.
Solved by gpt-5.6-sol high.
Assume the axiom of choice. By the well-ordering theorem, every set is bijective with an ordinal, and hence with an initial ordinal. Any two ordinals are comparable, so for any sets either injects into or injects into . Transitivity is immediate, and antisymmetry on cardinalities follows from the Cantor-Schröder-Bernstein theorem. Thus cardinal comparison is a total order.
Conversely, assume the cardinal comparability principle. Given any set , let be its Hartogs ordinal. By Hartogs theorem, there is no injection . Comparability therefore supplies an injection . Pulling the ordinal order back to gives a well-order of . Hence every set can be well-ordered, and the well-ordering theorem implies the axiom of choice.
Solved by gpt-5.6-sol high.
Under the axiom of choice, identify every infinite cardinal with its initial ordinal. We prove by transfinite induction on infinite cardinals. The countable case follows from the usual diagonal enumeration of .
For the induction step, well-order the Cartesian product by first comparingand then using lexicographic order among pairs with the same maximum. The predecessors of lie in , where . Put . If is infinite, the induction hypothesis makes this predecessor set have cardinal at most ; if is finite, the same conclusion is immediate.
Let be the order type of this well-order. Every proper initial segment of therefore has cardinal less than . Hence , since otherwise its initial segment of order type would have cardinal . Thus . The map gives the reverse injection, and the Cantor-Schröder-Bernstein theorem yields
Solved by gpt-5.6-sol high.
Letbe the injection witnessing , and fix . Extend the inverse of to a surjectionby settingThis construction uses only the fixed pair, not the axiom of choice.
Restrict to the -summand and take its second coordinate:If is onto, it is the required surjective function from to .
Otherwise choose one . For each , surjectivity of gives a preimage of . No such preimage lies in the -summand, by the choice of , so it lies in the -summand. Unless , this preimage is exactly and is unique: all points outside the range of map only to the default pair. Distinct give distinct preimages because is injective.
If , these unique preimages therefore define an injective function . The only exceptional case is , where they initially define an injectionIf is onto, extend it arbitrarily at to obtain a surjection . If it is not onto, choose one and set ; this gives an injection . These cases prove the product-sum comparison lemma entirely in ZF.
Solved by gpt-5.6-sol high.
Part (b) proves one implication. Conversely, assume in ZF thatfor every infinite cardinal . Let be any set and let be its Hartogs ordinal. Finite is already well-orderable, so suppose is infinite and form the disjoint unionBy hypothesis, is bijective with . Since injects into , we obtain
Apply part (c), with and . It gives either an injection or a surjection . The first alternative contradicts Hartogs theorem. In the second, every fiber is a nonempty set of ordinals and therefore has a least member. The mapis an injection of into the ordinal and pulls its well-order back to . Thus every set is well-orderable, so the well-ordering theorem gives the axiom of choice. This proves the Tarski cardinal-square theorem.
Solved by gpt-5.6-sol high.
The vertex form of Menger theorem states that if and are distinct nonadjacent vertices of a finite graph, then the maximum number of pairwise internally vertex-disjoint paths from to equals the minimum cardinality of an - vertex separator.
Solved by gpt-5.6-sol high.
The Hall marriage theorem says that a bipartite graph with classes has a matching saturating if and only ifwhere is the graph neighbourhood of . Necessity follows because the matching sends the vertices of to distinct vertices of .
For sufficiency, add vertices , join to every vertex of , and join every vertex of to . Let be an - vertex separator, and write and . If an edge joined a vertex of to a vertex of , it would give an - path avoiding . HenceHall's condition givesand therefore . By Menger theorem, there are internally vertex-disjoint - paths. Each has the form with and ; disjointness makes all the and all the distinct. Their middle edges form a matching saturating .
Solved by gpt-5.6-sol high.
Construct a bipartite graph with left vertices , right vertices , and an edge exactly when . For , every point of lies in some adjacent to one of those . ThusUsing finite additivity of Lebesgue measure and the equal-volume hypotheses,Hence for every . The Hall marriage theorem supplies a perfect matching, which has the form for a permutation of . Every matched edge means precisely that .
Solved by gpt-5.6-sol high.
Letbe the terminal set, and let be the vertex set of the given complete graph . Any vertex set meeting every - path has size at least : if , choose and . Since is -connected, is connected, so it contains a - path avoiding , a contradiction.
The Set version of Menger theorem therefore gives pairwise vertex-disjoint - paths. Truncate them at their first and last vertices in . Since both sets have vertices, every terminal is the endpoint of one path and the other endpoints are distinct vertices of . Denote the path from a terminal to its clique endpoint by , and call that endpoint .
For each , the clique contains the edge . Concatenatinggives an - path in a graph. The linkage paths are mutually vertex-disjoint, their clique endpoints are all distinct, and the joining clique edges pair those endpoints without introducing a new vertex. The resulting paths are therefore mutually vertex-disjoint. In particular, under the stated clique hypothesis, the -connected graph is -linked for these terminals.
Solved by gpt-5.6-sol high.
If a monic polynomial has roots in a splitting field, its polynomial discriminant isIt is a symmetric polynomial in the roots, so it belongs to the base field; it is nonzero exactly when is a separable polynomial.
Putthe Vandermonde determinant. A root permutation sends to . Hence the Galois group of a polynomial is contained in the alternating group exactly when every Galois automorphism fixes , which by the fixed-field property is equivalent to . This implies that is a square in . Conversely, if for , then , so . The Galois group therefore fixes and consists of even permutations. This proves the discriminant criterion for an alternating Galois group.
Now letThe rational root theorem shows that none of is a root, so this cubic is irreducible over . The discriminant of a depressed cubic isThis is not a square in , so the Galois group of an irreducible cubic is over .
Over , the discriminant is the squareThe cubic remains irreducible: a root in the degree-two extension would generate over both a degree-three field, by irreducibility, and a subfield of a degree-two field, contradicting the tower law for field extensions. Its Galois group over is consequently .
Solved by gpt-5.6-sol high.
In characteristic two, the formal derivative in positive characteristic ofisA polynomial is separable exactly when it and its derivative have no common root. If is a root of , thenThus and have a common root exactly when . Therefore is a separable polynomial if and only if .
Solved by gpt-5.6-sol high.
Let be the distinct roots of , and define the two cyclic sumsVieta's relations in characteristic two areA direct symmetric expansion using these identities givesConsequently and are the roots of the characteristic-two cubic resolventThey are distinct because . Thus splits into distinct linear factors in .
A three-cycle of the roots fixes each cyclic sum, whereas any transposition interchanges and . The induced action on is therefore exactly the sign action of the symmetric group on . If the Galois group is contained in , it fixes and , so both lie in the fixed field and splits over . Conversely, if splits in , its distinct roots belong to and every element of fixes them individually. No element of can then act as an odd root permutation, so .
Solved by gpt-5.6-sol high.
Schur lemma says that an intertwining linear map between irreducible finite-dimensional complex representations is either zero or an isomorphism. In particular, every endomorphism of an irreducible complex representation is a scalar multiple of the identity.
A continuous representation of a topological group is a continuous homomorphismfor a finite-dimensional complex vector space . It is a unitary representation if has a positive-definite Hermitian inner product for whichfor every and .
For , start with any positive-definite Hermitian form and average it using normalized Haar measure:Translation invariance makes this form -invariant, and positivity is preserved, proving unitarity. Since is abelian, the operators commute; since they are unitary, they are normal. Simultaneous diagonalization therefore decomposes into common one-dimensional eigenspaces. Thus every representation of the circle group is a direct sum of one-dimensional representations.
WriteThe group law and inverse areA calculation givesEvery element of the centre occurs by taking, for example, and . Hence the commutator subgroup is exactly . The image of a one-dimensional representation is abelian, so the one-dimensional representation kills the commutator subgroup and its kernel contains .
Now let be a complex representation of . Its restriction to the central subgroupis a representation of the circle group. Decompose it into its distinct weight spaces:Because is central, every commutes with its action and preserves every common eigenspace. Thus the are -subrepresentations, as asserted by the central circle weight-space decomposition.
Let . The mapis a one-dimensional representation of ; after composition with , its kernel contains . On its value isso . A continuous character of has the form ; the displayed identity forces . Therefore every is trivial. Since the were distinct, and .
It follows that every finite-dimensional complex representation of kills the entire nontrivial central circle . Its kernel is therefore nontrivial, so no such representation is faithful. This is the real Heisenberg quotient has no faithful finite-dimensional representation.
Solved by gpt-5.6-sol high.
Minkowski's lemma states that if is a full lattice in and is measurable, convex, and centrally symmetric, thenimplies that contains a nonzero point of .
Let be the two real embeddings. The Minkowski embedding of a real quadratic field identifies with a latticeof covolume . Choose a constant satisfyingFor , consider the closed diamondIt is convex and centrally symmetric, and its area isMinkowski's lemma supplies a nonzero whose two embeddings lie in .
For , the arithmetic-geometric mean inequality givesSince the coordinate product is the field norm,Finally, as . No fixed nonzero algebraic integer can occur for arbitrarily large , because its second embedding is nonzero. Consequently the elements obtained along an unbounded sequence of contain infinitely many distinct values. Here denotes the absolute norm, as usual in this inequality.
Solved by gpt-5.6-sol high.
For , the ring of integers of a quadratic field isThe elementhas field norm , so it is a unit. We claim that
Let be any unit. Its norm is . After changing its sign and replacing it by its inverse if necessary, its first real embedding satisfies . Choose so thatWrite with . Its conjugate is , so . ThereforeThus and . The equation now shows directly that the only value in is : if then , while if then and the positive possibilities are either below or equal to . Hence after normalization, proving the claimed description of the units of Q of square root ten.
Solved by gpt-5.6-sol high.
For , putThen the ring of integers of a quadratic field is , andA unit must have norm . Multiplying by four givesso , and checking these cases gives exactlyThese are precisely the sixth roots of unity, proving the description of the units of Q of square root minus three.
Solved by gpt-5.6-sol high.
Assume that is a primitive fifth root of unity. The cyclotomic field has degree four and signature . The Dirichlet unit theorem therefore gives free rankThe roots of unity in a rational cyclotomic field are the ten elements , so
For explicit units, has order ten, whileHence is a unit. It has infinite order because in the standard complex embeddingwhereas every root of unity has modulus one. Its image in the free factor is therefore nonzero and generates a finite-index subgroup of that factor. Consequentlyhas finite index in , as described by the unit group of the fifth cyclotomic field.
Solved by gpt-5.6-sol high.
Let be a chain map, soIf is a cycle, then , so is a cycle. If is a boundary, thenis a boundary. Henceis a well-defined induced map on homology.
The maps and are chain homotopic if there are homomorphismssuch thatFor a cycle , this giveswhich is a boundary. Thus and on homology.
Now consider the proposed mapping cone . Applying its differential twice givesThe diagonal entries vanish because and are chain complexes, and the lower-left entry isby the chain-map identity. Therefore and is a chain complex.
There is a short exact sequence of chain complexeswhereIts long exact sequence in homology isTo identify the connecting map, represent a class in by a cycle and lift it to . ThensoAt the preceding occurrence the degree is , giving . Hence the sequence is exactly
Finally suppose . DefineA direct calculation givesThese are equal precisely because . Thus is a chain map. Replacing the plus sign in its definition by a minus sign gives its inverse, so and are isomorphic as chain complexes.
Solved by gpt-5.6-sol high.
For each , define the bounded linear functionalThe hypothesis is precisely that converges weakly to . In particular, for each fixed , the scalar sequence converges and is therefore bounded. Thus the family is pointwise bounded.
The Uniform boundedness principle givesBy the Riesz representation theorem, . Henceso the sequence is bounded.
Solved by gpt-5.6-sol high.
Put , so . We show that the norm closure of the convex hull of every tailcontains zero. If it did not, the Hahn-Banach separation theorem would give a bounded linear functional , a real number , and, after multiplying by a complex scalar if necessary,for every in that closed convex hull. In particular for all . By the Riesz representation theorem, for some , contradicting .
Consequently, for every there is a finite convex combinationwith . DefineThen every is a convex combination of terms of the original sequence andThis is Mazur lemma in the present Hilbert-space setting.
Solved by gpt-5.6-sol high.
Apply part (b). Since every belongs to the convex set , every convex combination also belongs to . Since is norm closed and in norm, it follows that . Thus a norm-closed convex set is weakly closed.
Solved by gpt-5.6-sol high.
No. Take the Hilbert space and its standard orthonormal sequence . Letthe unit sphere. This set is norm closed but is not convex. By the Bessel inequality, for every ,so ; equivalently, this is a weakly null orthonormal sequence. Every lies in , but the weak limit does not. Hence convexity is essential.
Solved by gpt-5.6-sol high.
Choose a nonzero supported in a ball of radius , and letTranslation preserves both the norm and the weak-derivative norms, sofor every . Thus is bounded in the Sobolev space .
Distinct translates have disjoint supports. Hence, for ,No subsequence is Cauchy in , so no subsequence converges there. The embedding is therefore not a compact operator. This is the noncompactness of a Sobolev embedding by translation caused by loss of compactness at infinity.
Solved by gpt-5.6-sol high.
Regard the space of continuous functions vanishing at infinity as a subspace of . Point evaluation at the origin,is a bounded linear functional of norm one on this subspace because a continuous function's supremum and essential supremum agree. By the Hahn-Banach theorem, extends to a bounded linear functional
Suppose that some represented this extension:Choose with , , and support in the unit ball, and set . Then for every . On the other hand, for almost every and . The dominated convergence theorem givesa contradiction. Thus is a singular functional on L infinity and has no density.
Solved by gpt-5.6-sol high.
We prove the estimate first for in the Schwartz space. By the Fourier inversion theorem and the Cauchy-Schwarz inequality,The integral is finite because .
For , the elementary boundgivesThe last integral is finite near zero for every and at infinity exactly when . Choose, for example, , which works for every . We obtainDensity of the Schwartz space in extends the estimate and supplies a unique Hölder-continuous representative. Thereforecontinuously. This is the Fourier proof of Hölder regularity from a Sobolev norm.
Solved by gpt-5.6-sol high.
Use the centered Hardy-Littlewood maximal functionIf , choosing makes the whole interval lie in the positive half-line, so . If , every centered interval has exactly half its length in the positive half-line, so .
If , the average is zero for . For , it isand these values tend to as . HenceFor the uncentered maximal-function convention, intervals extending arbitrarily far to the right make the supremum equal to at every .
Solved by gpt-5.6-sol high.
Two irreducible varieties and are birational if they contain nonempty Zariski-open subsets and that are isomorphic. Equivalently, their function fields are isomorphic:For an irreducible variety,An isomorphism of function fields preserves transcendence degree, so . This is the dimension from the function field.
Now let be a finitely generated field extension. Choose field generators and setThen is a finitely generated integral -algebra and . The affine irreducible varietyhas function field . Embed as a closed affine subvariety of some affine space , identify that affine space with the standard open chart of projective space , and take the projective closure of . The closure of an irreducible topological space is irreducible, and is dense and open in . Thus is a projective variety andThis constructs the projective model of a finitely generated field.
For the curveputIn its function field, the defining equation givesHence , so is rational. Equivalently, this is the normalization of y squared equals x times x minus one squared, whose smooth projective normalization is and has geometric genus zero.
A smooth projective curve in the projective plane of degree has, by the genus of a smooth plane curve formula,Its genus can be zero only for or . Conversely, a projective line and every smooth conic over are rational, so each is birational to . Therefore the required degrees are exactly
Finally, in takeThe polynomial is irreducible: as a quadratic in , it could factor only if were a square polynomial, which it is not. Thus is an irreducible affine hypersurface of dimension two. Its function field isso is birational to .
The partial derivatives areSolving gives , , with arbitrary. By the Jacobian criterion,This is an irreducible subvariety of dimension one, giving the requested singular cylinder over a nodal curve.
Solved by gpt-5.6-sol high.
For a positively oriented local parametrization with first fundamental formthe area element of a surface isUnder an orientation-preserving coordinate change, the Jacobian from cancels the inverse Jacobian in the square root of the metric determinant. Hence these local expressions agree and define a global two-form.
The Euler characteristic may be defined from any finite triangulation byor equivalently by the alternating sum of the dimensions of the rational homology groups. Subdivision leaves unchanged, and the homological formula shows that it is a topological invariant, so the definition does not depend on the triangulation.
Give the boundary its induced orientation and parametrize it by arc length. If is its unit tangent and is the chosen unit normal to the surface, its signed geodesic curvature iswhere is the surface covariant derivative. The Gauss-Bonnet theorem for a compact oriented surface with smooth boundary and no corners iswhere is the Gaussian curvature.
Solved by gpt-5.6-sol high.
Because and are isometric,The two induced orientations on their common boundary are opposite. Ifis computed with the boundary orientation from , then its value for is . Applying the Gauss-Bonnet theorem to the two halves givesThe equalities above imply . This is the isometric halves give zero total boundary geodesic curvature argument.
Every ambient isometry preserves the magnitude of geodesic curvature and sends to . Hence is constant along the connected curve by the transitive curve symmetry makes geodesic-curvature magnitude constant. If that constant were positive, continuity would force the signed to have one fixed sign, making its integral nonzero. Therefore . A curve has zero geodesic curvature exactly when it is a geodesic, so is geodesic.
Solved by gpt-5.6-sol high.
No. On the round sphere, take a latitude circle other than the equator. Rotations about the polar axis preserve the circle and act transitively on its points, so all the isometries exist. The latitude separates the sphere into two caps of unequal area, so those caps are not isometric. It is not a great circle and therefore is not a geodesic; equivalently, its geodesic curvature is nonzero. This is a homogeneous nongeodesic latitude.
Solved by gpt-5.6-sol high.
Again, no. On the unit round sphere and for a sufficiently small nonzero , considerThis is a smooth embedded closed curve and may be reparametrized by arc length. It obeysso the antipodal isometry preserves the curve and exchanges the two complementary discs. Its restriction therefore gives an isometry .
The curve is not contained in any plane through the origin: its third-harmonic height cannot satisfy a nontrivial linear relation with and . It is therefore not a great circle. Since the closed geodesics of the round sphere are precisely the great circles, is not geodesic. This antipodally symmetric nongeodesic spherical curve shows that the point-transitivity assumption cannot be omitted.
Solved by gpt-5.6-sol high.
Write for the partial sum. Fix an integer . The tail-sum formula for expectation, applied to the nonnegative random variable , givesbecause . The events are independent, so the second Borel--Cantelli lemma shows that infinitely often with probability one. Taking the countable intersection over yieldsalmost surely.
Now , and the triangle inequality givesIf the limit superior of were finite, the right-hand side would have finite limit superior, contradicting the preceding conclusion. Thereforealmost surely.
Solved by gpt-5.6-sol high.
Let be independent and identically distributed random variables with the standard Cauchy distribution, whose probability density function isIts first absolute moment diverges sinceOn the other hand, its characteristic function is . The characteristic function of a sum of independent variables therefore givesThus the stability of the Cauchy distribution implies that has the standard Cauchy distribution for every . In particular,where is standard Cauchy and denotes convergence in distribution.
Solved by gpt-5.6-sol high.
A Non-homogeneous Poisson point process with intensity function is a random counting measure such that, for every finite family of pairwise disjoint bounded Borel sets , the counts are independent random variables andThe assumed local integrability makes each Poisson parameter finite. This count law and independence characterize the process.
Solved by gpt-5.6-sol high.
Let be the homogeneous Poisson point process in with intensity measure , and map each point to its radius . For an interval , the pushforward measure of the intensity isThe Mapping theorem for Poisson point processes therefore shows that the radii form a Non-homogeneous Poisson point process with intensity function
If is the distance to the closest star, the event says that the ball of radius contains no points. The zero-count probability of a Poisson distribution givesDifferentiating its cumulative distribution function yields the probability density function
Solved by gpt-5.6-sol high.
For one visitor, letand defineA visitor arriving at time is in room at time exactly when its independent service-time mark satisfies . Thus it receives mark with probability ; a further mark records that it has already left the gallery.
The Independent marking theorem for Poisson point processes makes the point processes carrying the different room marks independent. Consequently are independent, and Poisson thinning givesEquivalently,
Solved by gpt-5.6-sol high.
Assume that wherever on the part of the space relevant to . The importance sampling algorithm draws independent and identically distributed random variables from , forms the weightsand returnsA change of measure givesHence the estimator is unbiased whenever the expectation exists, and, if , the strong law of large numbers gives almost surely.
Solved by gpt-5.6-sol high.
Conditionally on , the cumulative distribution function of is the weighted empirical distributionFor fixed , the strong law of large numbers gives, almost surely,whileThe ratio therefore converges almost surely to . This is precisely the claimed convergence in distribution of the self-normalized importance sampling resample.
Solved by gpt-5.6-sol high.
Apply part (b) simultaneously at every rational ; the intersection of these probability-one events still has probability one. On that event, monotonicity and continuity extend the convergence from the rationals to every real .
More directly, fix . Since is a continuous cumulative distribution function, choose rational pointsso that the two tails have and , while every increment . Part (b) makes at all these finitely many points for all sufficiently large . If , monotonicity givesso ; the same estimate follows in the tails. This proves the uniform convergence of distribution functions to a continuous limit:almost surely.
Solved by gpt-5.6-sol high.
The stock tree has , first-period values , and terminal successors from and from . When , the risk-free growth factor is . At the upper time-one node, investing in the risk-free asset produces at time two, while one share bought for produces only or .
Use the following predictable self-financing portfolio. Hold nothing initially. If , short one share and invest the proceeds in the risk-free asset; if , continue to hold nothing. Its terminal payoff ison the upper branch, and zero on the lower branch. It costs zero, is never negative, and is positive with positive probability, so it is an arbitrage.
Solved by gpt-5.6-sol high.
Now . The local risk-neutral up probabilities solve . They areThe terminal payoff of the European put option with strike is at stock prices . Backward option pricing gives time-one valuesand henceThe first-period stock holding in the replicating portfolio in a binomial market isThus the hedge initially shorts of a share.
Solved by gpt-5.6-sol high.
The European call option with strike pays at terminal stock prices . Its lower-node value is zero, while its upper-node value isA second step of backward option pricing givesBy the fundamental theorem of asset pricing, this discounted expectation under the unique risk-neutral probabilities is the unique no-arbitrage price.
Solved by gpt-5.6-sol high.
For the American put option, compare exercise with continuation at time one. At , both values are zero. At , immediate exercise pays , whereas the continuation value is the European value , so exercise is optimal. At time zero, immediate exercise pays zero and continuation isThe optimal policy is therefore to continue at time zero, exercise at time one if , and otherwise continue to maturity. This nodewise maximum is the Snell envelope value.
Solved by gpt-5.6-sol high.
A regression tree chooses a threshold and constant predictions to minimize the squared-error criterionwhere ranges over thresholds producing two nonempty groups. For a fixed split, the least-squares minimizers are the two sample means,Thus the first split is the candidate threshold with the smallest sum of the two within-node residual sums of squares.
Solved by gpt-5.6-sol high.
With , it suffices to put the threshold between and for . Form the prefix sumsThey take operations to compute. The minimized squared errors for the two children areandEach candidate value therefore takes constant time once the prefix sums are available. Scanning all candidates takes operations in the sense of Big O notation, and retaining the minimizing gives the optimal split.
Solved by gpt-5.6-sol high.
WriteThe ordinary least squares estimators givewhereThe denominator is positive because the sorted inputs are distinct and .
Solved by gpt-5.6-sol high.
For each , the displayed objective is the sum of the minimized linear-regression residual sums of squares on the prefix and suffix . Precompute prefix sums ofThis requires operations. The corresponding five sums over a suffix are obtained by subtracting a prefix sum from the total.
For any block of observations, these raw sums give in constant timeBy the formula for the residual sum of squares in simple linear regression, its minimized loss isHence both losses for a proposed take constant time. Evaluating their sum for and keeping the minimum is another scan, so the complete minimization uses computations.
Solved by gpt-5.6-sol high.
Write the phase and amplitude asThe saddle point relevant to the contour is , since andThe local steepest-descent direction is therefore vertical: with ,
The given contour approaches the lines at its left end and at its right end. The poles of are at , outside the closed strip . The Cauchy integral theorem therefore permits deformation to the contour consisting of the lower horizontal ray from to , the vertical segment from to , and the upper horizontal ray from to . On either horizontal ray,so those two integrals are exponentially small, of order .
The vertical segment, oriented upward, contributesIts real phase has a unique maximum at . Sincethe simple-saddle contribution in steepest descent, equivalently the local Gaussian integral, givesThe factor comes from the upward tangent of the deformed contour.
Solved by gpt-5.6-sol high.
For , the nonnegative function has derivative , so its maximum occurs at and equalsThe map preserves the interval exactly when this maximum is at most one:Thus the upper limit is
Solved by gpt-5.6-sol high.
A fixed point satisfiesso either or . When , the latter equation has no real solution, and the origin is the only fixed point. Sincethe criterion for fixed point stability for an iteration shows that the origin is stable for .
Solved by gpt-5.6-sol high.
For , the new fixed point in isThe origin has multiplier and is therefore unstable. At the new fixed point,HenceThe point is stable in that interval and unstable for . At its multiplier is , the threshold for a period-doubling bifurcation.
Solved by gpt-5.6-sol high.
Let and center the map at this parameter-dependent fixed point:A Taylor polynomial in , with the coefficients expanded at , givesunder the period-doubling scaling . The coefficients areHere we used , , and .
Composing the local map with itself and retaining the terms of order and givesBesides the fixed solution , the two leading solutions therefore satisfyThus the period-two points born at areto leading order. With the coefficients above, the radicand is positive for .
Solved by gpt-5.6-sol high.
The exact second-iterate equation factors asThe positive nonfixed period-two points come from the final factor. If , their squared values areThey are real and distinct for .
The multiplier of a periodic orbit of an iteration isFor with ,whose modulus is less than one. The new two-cycle is therefore locally asymptotically stable.
Solved by gpt-5.6-sol high.
On the tensor-product Hilbert space, addition of angular momentum givesSuppressing the identity operators, its components and ladder operators are
Solved by gpt-5.6-sol high.
Solved by gpt-5.6-sol high.
Put . The only state with is the maximal highest-weight stateApplying and normalizing givesThe orthonormal vector in the same two-dimensional subspace isIt is annihilated by , so it is the highest-weight state of the multiplet. These are all states with . The last state exists when both subsystem spins are nonzero.
Solved by gpt-5.6-sol high.
A product state factors as ; an entangled state admits no such factorization. The state is a product state. When , each state with displayed in part (iii) has two nonzero terms with orthogonal states in both subsystems, so its Schmidt rank is two and it is entangled. If one subsystem has spin zero, only the multiplet remains and its states factor through the unique state of that subsystem.
Solved by gpt-5.6-sol high.
For , tracing out subsystem 2 gives the reduced density matrixwhich is pure, so its entanglement entropy is zero.
For , the two subsystem-2 factors in part (iii) are orthogonal. The partial trace therefore removes the cross terms and givesIts nonzero eigenvalues are and , so the Von Neumann entropy isWhen , both eigenvalues are and , the maximal entropy for a rank-two reduced state.
Solved by gpt-5.6-sol high.
A state exists only when . Since its total magnetic quantum number is zero, every uncoupled basis term must have , soApply the total raising operator . The coefficient of
isThe angular momentum singlet state is annihilated by , henceAll coefficients consequently have the same modulus and alternating signs. Normalization fixes that modulus to , and an arbitrary overall phase may be chosen so thatThus
isThe angular momentum singlet state is annihilated by , henceAll coefficients consequently have the same modulus and alternating signs. Normalization fixes that modulus to , and an arbitrary overall phase may be chosen so thatThus
Solved by gpt-5.6-sol high.
Take and use the Landau gauge . With zero -momentum, the Hamiltonian becomesFor a state , this is a quantum harmonic oscillator in , centred atwith cyclotron frequencyThe Landau levels are therefore
Periodicity in quantizes . Requiring the corresponding oscillator centre to lie in an interval of length leavesallowed centres for each . This is the degeneracy of a Landau level, equal to the magnetic flux through the rectangle divided by the magnetic flux quantum . Consistent magnetic periodic boundary conditions make an integer.
Solved by gpt-5.6-sol high.
Assume ; reversing the sign only exchanges the spin labels. Since , the Pauli term shifts the spinless energies by . ThusAfter collecting equal energies, the spin splitting of Landau levels isThe level contains only and has degeneracy . Every level contains and and has degeneracy .
For noninteracting electrons, the Pauli exclusion principle fills these states from the bottom. If , every electron fits in the zero-energy level andFor , writeThen the first positive levels are full and states in level are occupied. The ground-state energy isEquivalently, onThe graph is continuous and piecewise linear: it is flat up to , then has slopes , with kinks at
Solved by gpt-5.6-sol high.
The Clausius statement of the second law says that no cyclic device can have as its sole effect the transfer of heat from a colder reservoir to a hotter one. The Kelvin-Planck statement of the second law says that no cyclic device can have as its sole effect the extraction of heat from one reservoir and its complete conversion into work.
Suppose first that the Clausius statement fails. Use the forbidden device to return to a hot reservoir the heat rejected by an ordinary heat engine. The combined device extracts from the hot reservoir and converts all of it into work, violating the Kelvin--Planck statement.
Conversely, suppose the Kelvin--Planck statement fails. Use the work produced by the forbidden one-reservoir engine to drive an ordinary refrigerator. The engine's heat withdrawal and the refrigerator's heat discharge cancel by the work-energy balance, leaving only a transfer of heat from the cold reservoir to the hot reservoir with no external work. This violates the Clausius statement. Each statement therefore implies the other, so the two forms of the Second law of thermodynamics are equivalent.
Solved by gpt-5.6-sol high.
For particles, the ideal gas equation of state isThe internal energy of an ideal gas depends only on temperature and obeysFor constant heat capacity and a convenient choice of energy zero,
Solved by gpt-5.6-sol high.
An adiabatic process has no heat transfer, . With work done by the gas taken as positive, the first law of thermodynamics givesUsing and ,Integration, followed by the Mayer relation , yieldsEliminating with the equation of state gives the reversible ideal-gas adiabat
Solved by gpt-5.6-sol high.
This is the ideal Diesel cycle. In the plane, is an adiabatic curve running up and left, is a horizontal constant-pressure segment running right, is an adiabatic curve running down and right, and is a vertical constant-volume segment running down. The traversal is clockwise, so the enclosed area is positive work output.
In the plane, the two reversible adiabats are vertical because entropy is constant: rises at , and falls at . Along , the heat increment at constant pressure issoAlong the constant-volume curve ,which givesThus runs up and right and runs down and left between the two vertical adiabats.
Solved by gpt-5.6-sol high.
Heat enters only during the constant-pressure step, so the heat capacity at constant pressure givesThe positive magnitude of the heat rejected during constant-volume cooling isBecause the working gas returns to its initial state, the thermodynamic cycle has zero net change in internal energy and . Its thermal efficiency is therefore
Solved by gpt-5.6-sol high.
Solved by gpt-5.6-sol high.
Dot the Ampère-Maxwell equation with and Faraday's law with :Adding and using the vector identitygivesThis is the local Poynting theorem before specializing the constitutive relations.
Solved by gpt-5.6-sol high.
Because and are symmetric and time-independent, the linear anisotropic dielectric relations giveand similarlyIntegrate the identity from part (b) over and apply the divergence theorem to obtainWhen , this is conservation of electromagnetic energy. The Poynting theorem in a linear anisotropic medium identifiesas the energy density andas the energy flux, or Poynting vector.
Solved by gpt-5.6-sol high.
Substitution of the sinusoidal plane waves into Faraday's law givesThe source-free Ampère-Maxwell equation, with and , givesEliminating yields the wave equation for a plane wave in an anisotropic dielectric:
Solved by gpt-5.6-sol high.
Suppose . Taking the scalar product of the equation in part (d) with gives . The vector triple product then reduces the equation toso . From part (d),ConsequentlyThus the instantaneous flux, except at its zeros, and its time average both point in the wave-propagation direction .
Solved by gpt-5.6-sol high.
The Lorenz gauge in linearized gravity givesso the symmetric amplitude is transverse:Under this condition the supplied linearized Einstein tensor reduces toThe vacuum Einstein field equations and the plane-wave ansatz then implyThus the wavevector is null and the perturbation is a plane gravitational wave in linearized gravity. Lorenz gauge alone does not require the trace of to vanish; that is a further gauge choice.
Solved by gpt-5.6-sol high.
Under an infinitesimal coordinate transformation generated by , the trace-reversed metric perturbation changes byTaking a divergence givesThe transformation therefore preserves Lorenz gauge precisely when . For a plane-wave parameter , this holds because . Absorbing a factor of into an arbitrary constant vector , the amplitude transformation isThis four-parameter freedom is the residual gauge symmetry of linearized gravity.
Solved by gpt-5.6-sol high.
Use the total massWith the stated last-orbit estimate,The Kepler third law then givesA binary's dominant quadrupole radiation has two cycles per orbit, so the last-orbit frequency of a compact binary isOnly one significant figure is meaningful under the approximations.
Solved by gpt-5.6-sol high.
A suitable Spatially flat FLRW metric isBoth source and detector are comoving, so cosmological redshift stretches the wave period in proportion to the scale factor. If is the local source frequency at emission and is the frequency measured in Earth's local frame, thenThe same relation applies to gravitational waves propagating on the FLRW background in the geometric-optics regime.
Solved by gpt-5.6-sol high.
The unperturbed fluid wake is the horizontal strip : the fluid is stationary there and moves to the right with velocity above and below it. Its two shear layers are the straight lines . After the symmetric disturbance, draw the upper layer at and the lower one as its reflection at , so the local wake width is .
Solved by gpt-5.6-sol high.
Write the velocity potentials in the upper, middle and lower domains as , and . Irrotational flow and incompressible flow imply the Laplace equationThe far-field boundary conditions are
Every shear layer is a material interface. The exact kinematic boundary condition at isand at it isHere each equation is evaluated on the indicated moving interface.
Finally, pressure continuity is the dynamic boundary condition for an inviscid interface. The Unsteady Bernoulli equation givesafter absorbing spatially constant functions of time into the potentials.
Solved by gpt-5.6-sol high.
The displacement must have small relative amplitude and small slope,Write the potentials as perturbations of the base flow,with and small. A linearization evaluates the conditions at the unperturbed lines and discards products of perturbations. At this giveswhereas at it givesThe perturbation potentials remain harmonic functions, and their gradients decay at the corresponding far fields.
Solved by gpt-5.6-sol high.
The linearized equations are homogeneous and have constant coefficients in and . Consequently, spatial Fourier modes evolve independently, and the superposition principle reconstructs arbitrary sufficiently regular initial disturbances from them. It is therefore enough to seek the normal modesHere the real is the wavenumber, is the possibly complex temporal exponent, and taking the real part produces a physical displacement.
Solved by gpt-5.6-sol high.
Put . Decay at infinity and the symmetry of the disturbance suggest the mode potentialsThe middle potential is an even function of because its vertical derivative must take opposite values at the two interfaces. The upper kinematic conditions giveThe lower conditions give the same two relations. The upper dynamic condition isEliminating , and yields the dispersion relationWriting , its two roots areFor every real , and one root has the positive growth rateThus every nonzero wavenumber is linearly unstable in this inviscid vortex sheet model; is neutral.
Solved by gpt-5.6-sol high.
When , the two shear layers are separated by many disturbance decay lengths. Since , the roots reduce toThis is exactly the Kelvin-Helmholtz instability of one isolated vortex sheet separating equal-density streams of speeds and : the pattern travels at their mean speed , while its unstable amplitude grows at rate . The exponentially weak interaction between the two layers disappears in this short-wavelength limit.
Solved by gpt-5.6-sol high.
The one-dimensional mass flux and momentum flux are respectivelyIn a steady flow, the conservation laws make both the mass flux and the given energy fluxconstant. Wherever , their ratio is therefore constant:where is the internal energy per unit volume of the ideal gas. This is the required steady-flow energy integral.
Solved by gpt-5.6-sol high.
Work in the shock frame, and let the positive upstream and downstream speeds be and . The Rankine-Hugoniot conditions for a perfect gas give conservation of mass and momentum:PutMass conservation gives , and momentum conservation then gives
Applying the energy integral from part (a) on the two sides givesSubstitution of (1) into (2), followed by cancellation of , yieldsSolving this linear equation for the density ratio gives
Solved by gpt-5.6-sol high.
The Taylor series of the shock density ratio at isFor a reversible adiabatic process, , so the density ratio predicted by the ideal-gas adiabat isEquations (1) and (2) agree through order . Thus a weak shock satisfies the adiabatic pressure-density relation with an error of order , which in particular establishes the requested accuracy through .
Solved by gpt-5.6-sol high.
For a nonzero real vector , the Rayleigh quotient of the matrix isThe Rayleigh quotient iteration starts from a unit vector . Given , compute the shiftsolve the linear systemand normalize in the Euclidean norm:The next eigenvalue estimate is . The process stops when the eigenpair residual is sufficiently small.
Solved by gpt-5.6-sol high.
Differentiate the eigenvalue equationat , where . Suppressing the argument givesLeft-multiplication by the transpose of the unit left eigenvector and use of cancel the terms involving :Because the eigenvalue is simple, , and hence the first-order perturbation of a simple eigenvalue isThe definition of the operator norm, followed by the Cauchy-Schwarz inequality, givesTherefore
Solved by gpt-5.6-sol high.
If is a real symmetric matrix, the finite-dimensional spectral theorem lets us choose the normalized left eigenvector and right eigenvector to be the same vector. Thus
More generally, the unitary diagonalization of a normal matrix shows that a real normal matrix also has coincident normalized left and right eigenspaces for each real eigenvalue. Since the question assumes , one can again choose , and every such simple eigenvalue has
Solved by gpt-5.6-sol high.
The displayed matrix is an upper bidiagonal matrix. For , the right eigenvector equation successively givesWe may therefore take the unit right eigenvector to be .
For a left eigenvector, givesSince ,Choosing the initial scale producesAfter normalization,The eigenvalue sensitivity is thereforewhere is the factorial. Hence
Solved by gpt-5.6-sol high.
Let the computed eigenpair residual beDefine the rank-one matrixThenso is an exact eigenpair of the perturbed matrix . Moreover,which is the backward error of an approximate eigenpair.
Follow the simple eigenvalue branch from for . The first-order perturbation of a simple eigenvalue and part (b) giveSince the residual is at the machine precision scale, this proves
Solved by gpt-5.6-sol high.
Codex Wiki