Identify the Möbius group with , the orientation-preserving isometry group of three-dimensional hyperbolic space. Here a properly discontinuous group action permits finite stabilizers: for each compact set , only finitely many satisfy .
Fix . The set of isometries with is compact. To see this, an orientation-preserving isometry is uniquely determined by the image of an oriented orthonormal frame at . The image point lies in a compact closed hyperbolic ball and its frame lies in a compact rotation-group fiber. These choices parametrize the indicated set of isometries continuously.
A discrete subgroup of a topological group is closed: otherwise distinct subgroup elements accumulating at the same point would have quotients tending to the identity, contradicting isolation of the identity. Its intersection with a compact set is therefore finite. If and , choosing gives . Hence discreteness implies a properly discontinuous group action. Conversely, if the subgroup is not discrete, distinct tend to the identity. For a compact ball with in its interior, eventually , so infinitely many meet , contradicting proper discontinuity. This proves the equivalence.
Matrices of determinant one over the Gaussian integers are closed under multiplication and inversion, with inverse . Quotienting by gives the specified group of Möbius transformations. The Gaussian integers form a discrete set in the complex plane, so these matrices form a discrete subgroup of , and the finite quotient remains discrete. Thus this group acts properly discontinuously on .
Explicit representatives of all four types are
The first is and has order two; the second is the nonidentity translation . The third has positive real reciprocal eigenvalues , giving translation along an axis without rotation. For the last, a nonreal trace excludes both unit-modulus and real eigenvalues. Its multiplier therefore has modulus different from one and a nonzero rotation angle: it is a loxodromic Möbius transformation.
Use the square-root encryption convention called the Rabin-Williams scheme in the Cambridge course notes. Choose distinct large primes , keep them secret, and publish . A message block is encrypted as
Usually require ; otherwise the message itself reveals a factor. For a quadratic residue modulo , Euler criterion gives , so is a square root. Compute both signs modulo each prime, then combine the four sign choices by the Chinese remainder theorem. For a unit ciphertext there are four roots modulo . Message redundancy identifies the intended root; squaring alone does not identify it uniquely.
To reduce integer factorization to recovery of square roots, choose uniformly from , compute , and ask the alleged decoder for any root of . Conditional on , the secret is uniform among its four roots, even if the decoder deterministically chooses . With probability , . Then the signs agree modulo one prime and disagree modulo the other. Since
the greatest common divisor factors . Independent trials require an expected two successful oracle calls. If a trial's chosen is not a unit, already factors . This establishes the computational equivalence between factorization and inversion of the squaring map; it does not claim that learning any partial information about a formatted message is equivalent to full inversion.
For coin flipping by telephone, Alice publishes with its factorization secret. Bob chooses uniformly a unit with and sends . Alice computes the two roots in this half interval, selects a binary digit in which they differ, and announces a guess for that digit of Bob's . Bob reveals ; Alice verifies its range and square, and their common bit records whether her guess was correct. Alice then reveals , so Bob verifies the primes, product, and differing digit.
Conditional on , Bob's original root is equally likely to be or , so Alice's guess succeeds with probability . Bob cannot change his answer to the other half-interval root without finding a nontrivial second square root, which would factor by the argument above. Thus, assuming factorization is hard and the prescribed sampling and completed exchange are followed,
The revealed factors make the completed transcript checkable. The protocol does not prevent a party from aborting communication.
Use a normal linear model
The distance and climb are treated as fixed predictors; the assumptions are a linear conditional mean, independent errors with common variance, and normal errors for the exact tests. Fit by ordinary least squares using
hills.lm1 <- lm(time ~ dist + climb, data = hills)
The overall null hypothesis is , against at least one nonzero slope. The intercept-only and full models have respectively 34 and 32 residual degrees of freedom. Under the null, the F-test statistic is
The displayed residual sums are rounded; use the reported statistic for the test. Its upper-tail p-value is below , so reject the no-relationship hypothesis overwhelmingly. At least one predictor adds information beyond a constant mean.
In the coefficient table, Estimate gives one of the ordinary least squares estimators, Std. Error is the estimated standard deviation of that estimator, t value is the estimate divided by its standard error, and the last column is the two-sided p-value for a zero coefficient. Under the corresponding null, the statistic has a Student's t-distribution with 32 degrees of freedom. The fitted mean is
At fixed climb, an extra mile predicts about 6.22 extra minutes; at fixed distance, an extra foot of climb predicts about 0.01105 extra minutes. Both slopes have strong evidence of being positive. Specifically the climb test uses and , so climb remains significant after controlling for distance. The intercept differs from zero at the 5% level, but extrapolating to a zero-distance, zero-climb race has no useful physical interpretation.
The regression diagnostics show a very large positive residual for Knock Hill and a smaller positive outlier for Bens of Jura. The Q-Q plot has a pronounced upper tail, contradicting the assumed normal-error pattern. These observations can distort both the fitted coefficients and the estimated error variance. Check the source records, units, transcription and any unusual race conditions first, especially for Knock Hill; correct a demonstrated data error and refit. If the records are valid, consider omitted terrain effects, nonlinear distance/climb effects, a suitable response transformation or robust regression, and compare fits with and without influential observations. A diagnostic outlier alone is not a reason to silently delete a valid record.
Extend by zero to and apply the assumed Fourier inversion theorem. For sufficiently regular, decaying data and this gives , with . If , the exponential in this last integral is bounded in magnitude by one; it defines a holomorphic transform in the lower half-plane, with its boundary values on the real axis.
The PDF orients from down to zero, then from zero to . The function is holomorphic in the upper half-plane, and for its exponential decays there. Close the two rays through a large first-quadrant arc. Cauchy integral theorem and Jordan lemma give
For example, if are integrable, integration by parts gives in that quadrant, which suffices for the arc estimate. Standard limiting arguments extend the identity to the admissible Fourier-inversion class. Adding any constant multiple of this zero integral to ordinary inversion proves
The extra integral is a reflected, zero-supported contribution, not an extra datum.
Set . Expanding the proposed local relation gives
Thus its vanishing is exactly . Integrating over , using decay at infinity, yields
Integrate in time and use the initial data to obtain the global relation
Here , with and . In particular these finite-time transforms are entire in .
Write and . Substitution into part (i), including replacing by in the reflected transform, gives
For the boundary integrands, rotate the negative real ray to the positive imaginary ray through the second quadrant. There are no singularities, and for with ,
After writing as its finite time integral, this estimate and the usual smooth-data arc bounds justify the rotation. The positive real ray stays fixed and the new imaginary ray is directed downwards, giving
The same argument applies separately to the and terms. Thus the net boundary integral in the inversion formula is
For Dirichlet boundary conditions choose , eliminating the unknown normal derivative. For Neumann boundary conditions choose , eliminating the unknown boundary value. The resulting unified transform representations are
Each contains only the initial transform and the prescribed boundary transform. The signs depend on the PDF's orientation of , checked above.
Differentiate the Friedmann equation and use cosmological energy conservation:
For an expanding universe , division by and substitution of the Friedmann equation give the Friedmann acceleration equation
The strong energy condition makes . Since and ,
Thus the quantity is nonincreasing, with strict decrease when the energy condition is strict. Dividing the Friedmann equation by yields
For fixed nonzero curvature, the magnitude of grows as expansion decelerates. The observed closeness to one therefore requires much tighter early-time closeness to one in the standard decelerating model: this is the flatness problem. Accelerated expansion during inflation reverses this evolution and suppresses the curvature contribution.
Normalize the scale factor by . Separate conservation for a constant equation-of-state parameter gives . Thus radiation has while the dark energy component with has constant density. Flatness gives , so
Here has mass-density units in the stated Friedmann equation; the corresponding energy density is .
Assume both density parameters are positive and choose the Big Bang at . The expanding branch satisfies . Set and integrate:
Consequently
The factor is required because has inverse-time units. As , , the expected radiation-dominated power law. As , , the exponential expansion driven by a cosmological constant.
The inductive definition of ordinal addition is , , and for a nonzero limit ordinal . The synthetic definition is the order type of the order sum obtained by putting a copy of after a disjoint copy of .
These agree by transfinite induction on the second argument. Appending no points gives ; appending one new greatest point gives a successor. At a limit stage, the order sum is exhausted by the increasing initial segments obtained by appending each , so its order type is their supremum. Thus the synthetic construction satisfies all three recursion clauses, and uniqueness of transfinite recursion proves equivalence.
False. By the successor and limit clauses for ordinal multiplication,
Multiplication is not commutative because it counts ordered copies, rather than merely the cardinality of their union.
Always true. In the order-sum interpretation of ordinal multiplication, consists of copies of indexed first by and then by . The first portion has order type and the second , proving . Equivalently, transfinite induction on uses the successor rule, associativity of ordinal addition, and continuity of both operations in the right argument at limit ordinals.
False. Take , which satisfies the proposed lower bound. Associativity of ordinal addition and give
The final successor survives only in the second expression.
False. Take . Continuity of ordinal multiplication in the right argument gives . For a precise bound, for each countable ordinal monotonicity gives
Both bounding expressions have supremum as ranges below , because is still countable and these indices are cofinal. But the successor rule gives
A matching in a graph is a set of edges with no shared endpoints. A matching from to here covers every vertex of . Necessity of the Hall marriage theorem condition is immediate: the partners of vertices of are distinct members of its neighbour set .
For sufficiency, take a matching of maximum size. If it leaves unmatched, follow alternating unmatched and matched edges from . Let and be the reachable vertices. No vertex of can be unmatched, because the resulting augmenting path in a matching would increase the matching. Every neighbour of is in , and the matching pairs bijectively with . Thus , contradicting Hall's condition. The maximum matching therefore covers .
For the deficiency bound, adjoin new vertices to , each adjacent to all of . Every nonempty then has neighbours. Apply the Hall marriage theorem and remove the at most edges using new vertices. This leaves at least independent edges. The lower bound is vacuous if .
Write the adjacency matrix of a graph in bipartite block form . If Hall's condition failed for , the linear map from vectors supported on to their neighbour coordinates in would have fewer output than input coordinates. It therefore has a nonzero kernel, giving a nonzero vector supported on with . The vector would be a zero eigenvector of the adjacency matrix. Consequently absence of the zero eigenvalue implies a matching covering .
The converse is false, even with equal part sizes. The four-cycle has a perfect matching, but its matrix is singular. Its adjacency matrix has eigenvalues .
A field homomorphism fixing is injective, since its kernel is an ideal of a field and cannot contain one. It is also -linear. Equal finite field extension degrees then make it a bijection, hence a -isomorphism.
Equal degrees alone do not ensure that any such homomorphism exists. For example and both have degree two, but a -isomorphism would require a square root of two in . Squaring with rational would give and . Neither nor has a rational solution. Thus the two degree-two extensions are not isomorphic over .
An isomorphism fixing fixes its subfield , so an -isomorphism is a -isomorphism. The converse is false because an isomorphism over may act nontrivially on .
Take , , , and . Both are degree-two extensions of . The polynomial is irreducible over by the Eisenstein criterion, and both and are roots. Sending to therefore gives a -isomorphism ; on it sends to .
There is no -isomorphism. The two quadratic extensions adjoin square roots of and . Their square classes would agree only if were a square in . To check this criterion directly, a square root of in would have form ; its square forces . The case would put in , while would require . Both are impossible, the latter since . Thus the extensions are isomorphic over but not over .
If belongs to the centre of a group, then commutes with for every . The Schur lemma says that an endomorphism of a finite-dimensional complex irreducible representation commuting with the representation is scalar. Therefore
Since has finite order, is a root of unity and has modulus one.
Let be the character of a representation of . The character orthogonality identity for an irreducible character is . For , the scalar formula from part (i) gives . Keeping these nonnegative summands yields
If is a faithful representation, embeds into the multiplicative group of complex numbers. Its image is a finite group of roots of unity, hence lies in the cyclic group of th roots of unity and is itself cyclic. Thus is cyclic.
For the order-18 group, the index-two subgroup is normal and . Restrict a complex irreducible representation to the finite abelian group . Simultaneous diagonalization decomposes it into character spaces . The inversion relation makes exchange and . The sum of spaces belonging to any such character orbit is -invariant, so irreducibility leaves only one orbit.
If the character is trivial, all of is in the representation's kernel. Otherwise has order three and . The only spaces are and , and both have the same kernel in . A nontrivial character of maps onto , so that kernel has order three. It acts trivially on all of . Therefore the group has no faithful irreducible complex representation. In fact choosing nonzero makes invariant, so these nontrivial-character irreducibles have degree two.
Put . The ring of integers of a number field is and the field discriminant is . The Minkowski bound for ideal classes says that each ideal class has an integral ideal representative of norm at most .
The prime two ramifies as , where . Three splits as , choosing , whereas five is inert because is not a square. The norm bound therefore leaves only the classes of , , and ; a norm-four ideal is and is principal.
The ideal is not principal, since an element of norm two would solve . On the other hand , and is divisible by and but not . Unique prime ideal factorization and the norm give . Thus , which has order two, and
For the Diophantine equation, must be positive. If were even, , impossible for a square. Thus is odd and even. If , then , but would have 17-adic valuation one while has valuation divisible by five, also impossible.
The ideals and are consequently coprime. A common prime divides and hence lies over two or seventeen, both excluded above. Their product is , so unique prime ideal factorization gives . Since the ideal class group has order four, forces . Write with integers . The only units are by their norm, and the sign can be absorbed into the fifth power. Hence .
Comparing the coefficient of gives
For , the bracket would be one, but it is four modulo five. For , the bracket would be minus one, but it is one modulo three for either possible square residue of . Both cases are impossible. Therefore there are no integer solutions.
True. A path gives the basepoint-change isomorphism of fundamental groups . Concatenating paths is compatible with homotopy and loop multiplication. Using the reversed path gives its inverse, because and contract relative to endpoints.
False. Changing the connecting path changes the isomorphism by an inner automorphism. Take , one path constant and the other representing in the Klein bottle group . The first induced isomorphism is the identity, whereas the second sends to . The element has infinite order, as is also witnessed by mapping it to a translation and to a reflection in the infinite dihedral group. A fixed path to a different endpoint can be appended if distinct basepoints are desired.
True. Coordinate projections define . A pair of based loops gives the inverse by . Homotopies combine and project coordinatewise, and loop concatenation does too. These maps are well-defined inverse group homomorphisms, requiring no local connectedness assumptions.
False. Take a bouquet of two circles and the two-dimensional torus. Both are connected polyhedra and have first homology group . Their fundamental groups are respectively the nonabelian free group and the abelian group , so they are not isomorphic. First homology only remembers the abelianization of the fundamental group.
The real Stone-Weierstrass theorem says that a subalgebra of on a compact metric space is uniformly dense if it contains the constants and separates points. The finite sums form such an algebra on : multiplication preserves this form, the constant one belongs to it, and the coordinate functions distinguish every pair of different points. Thus they approximate the continuous kernel uniformly.
A finite-rank operator has finite-dimensional range. A compact operator maps the unit ball to a set with compact closure, equivalently sends every bounded sequence to a sequence with a convergent subsequence. The identity on is bounded but not compact: the functions have supremum norm one, and every subsequence has the discontinuous pointwise limit which is zero on and one at one. It therefore has no uniformly convergent subsequence.
A bounded finite-rank operator is compact because bounded sets in its finite-dimensional range have compact closure. Suppose in operator norm. For any , choose with and a finite -net for of the unit ball. The same centres give an -net for of that ball. Its closure is totally bounded and complete in the Banach space , hence compact. Thus an operator-norm limit of compact operators is compact.
For uniformly approximating , the integral operator has range in and is bounded. Moreover
Consequently in operator norm, proving that the stated integral operator is compact.
Near an isolated point , choose source and target coordinate charts, using continuity of to keep a sufficiently small source neighbourhood in the target chart. The coordinate representation is holomorphic on the punctured neighbourhood and is bounded near by continuity. The Riemann removable singularity theorem extends it holomorphically across , with the given continuous value. Repeating at all points of proves that is analytic.
For a nonconstant holomorphic function on a connected Riemann surface, let be the set where its coordinate derivative vanishes. This condition is independent of the chart. The derivative cannot vanish identically on an open set, because the identity theorem would then make constant globally. Its zeros are isolated and closed locally, so is a closed discrete subset. At every other point the holomorphic inverse function theorem makes a local coordinate chart.
Now suppose is a homeomorphism and is analytic. Outside , use as a target coordinate to write locally . This is analytic. The preimage is discrete because is a homeomorphism, and the first argument extends analyticity across it. An injective holomorphic map cannot have a zero derivative: a zero of order at least two would give a locally multiple-to-one map. Its local inverse is therefore holomorphic, proving that is a conformal equivalence.
The plane and the unit disk are homeomorphic by , with inverse . They are not conformally equivalent: a holomorphic equivalence from the plane to the disk would be a bounded nonconstant entire function, contradicting Liouville's theorem.
An affine variety is irreducible when it is nonempty and cannot be expressed as the union of two proper Zariski-closed sets. If a nonempty open subset were not dense, would be such a union: the first set is proper by assumption, and the second is proper because is nonempty. Hence every nonempty open subset of an irreducible variety is dense.
The coefficients of are polynomial functions of the matrix entries. Its polynomial discriminant is therefore a polynomial in those entries, and it is nonzero exactly when all roots of the characteristic polynomial are distinct. Thus the required set is the principal open subset of affine space. It is nonempty: an algebraically closed field is infinite, so choose a diagonal matrix with pairwise distinct entries.
It is also affine as a variety. The map identifies it with the closed hypersurface
Projection to is its regular inverse. This proves the requested affineness while retaining the open embedding into matrix space.
Each entry of is a polynomial in the entries of , so their simultaneous zero set is Zariski closed. A matrix in has distinct eigenvalues and is diagonalizable. If , then
Thus . Affine space is irreducible because its coordinate ring is an integral domain; by part (i), its nonempty open subset is dense. The closed set containing it must be all of affine space. This proves the Cayley-Hamilton theorem:
A point is critical for a smooth map when is not surjective. A critical value is the image of a critical point; a regular value has no critical point in its fiber, including the case of an empty fiber.
To prove the regular level set theorem, take and write , . In local coordinates, surjectivity supplies an invertible derivative minor; relabel source coordinates so it uses the first columns. The map
has an invertible derivative. The inverse function theorem makes it a local diffeomorphism. In these coordinates the fiber is obtained by fixing its first coordinates, so it is locally an open subset of . These smooth charts prove that a nonempty regular fiber is a smooth embedded manifold of dimension , with tangent space .
For the special orthogonal group, use defined by . Its derivative is . At an orthogonal , any symmetric matrix is obtained by taking , so is a regular value. Therefore has dimension . The determinant takes only the values there, so is an open and closed part of and has the same manifold dimension:
It is closed in matrix space and bounded because every orthogonal matrix column has norm one. The Heine-Borel theorem proves compactness. Finally the tangent space is the derivative kernel,
Thus its translated tangent space is the vector space of skew-symmetric matrices.
The Lp space is the vector space of equivalence classes, modulo equality almost everywhere, of measurable functions with , equipped with . To prove it is a Banach space, let be Cauchy in this norm. Choose a subsequence such that
Take measurable representatives and put , . The Minkowski inequality gives . By the monotone convergence theorem, satisfies . Consequently is finite almost everywhere, and the telescoping series
converges absolutely almost everywhere. Define it arbitrarily on the null exceptional set. The bound puts in .
For the tails, monotone convergence and Minkowski again give
Since the original sequence is Cauchy, the triangle inequality then gives in norm, not merely along the subsequence. Hence
This proof needs no finiteness or sigma-finiteness assumption on the measure space.
Suppose in probability. For a fixed real and any , split according to . The supplied exponential inequality and the bound give
Let , then . Thus the characteristic functions converge pointwise to . The Lévy continuity theorem states that pointwise convergence of characteristic functions to a characteristic function continuous at zero implies convergence in distribution. Every characteristic function is continuous at zero, so
The independent standard Gaussian random variables have mean zero and variance one. For , the mixed products have expectation zero, giving
uniformly over as . Thus is Cauchy in the L2 space. Its completeness, proved in (i), supplies
Moreover convergence implies convergence of the means and second moments: and .
Finite independent Gaussian sums are Gaussian; directly, multiplication of their characteristic functions gives
By Markov inequality, . Part (ii) makes the same sequence converge in distribution to , and the characteristic-function estimate there makes . Uniqueness of distributions determined by characteristic functions therefore yields
If , all coefficients vanish and almost surely; here denotes that degenerate distribution.
For the natural filtration , a nonnegative random time is a stopping time when for every : whether it has occurred can be decided from the observations already made.
For a time-homogeneous finite-state continuous-time Markov chain, the Strong Markov property says that, on , conditional on , the process has the law of a fresh chain started at and is independent of the earlier history given that state. In particular, with transition matrix ,
The property applies also to bounded functions of several future times or of the entire future path.
Let and set . Starting from , the first holding time has exponential distribution of rate . Its joint density with a jump to is . Before such a jump decreases to , so the remaining rise needed to exceed is . If instead the jump is to the absorbing state zero, the level stays nonpositive and never exceeds .
Conditioning on this first jump and using the Strong Markov property gives
Starting from , the level reaches at time if the first holding time exceeds . This has probability ; surviving beyond also makes the level strictly greater than , as required by the strict event. A switch to at time has density , leaves level , and requires a later rise of . Absorption before reaching cannot succeed. Therefore
Holding times have continuous distributions, so the single endpoint has no effect on the formula.
Assume with . Part (ii) gives
Insert this into (iii). If , the convolution becomes
Equality for all forces , hence . The case would instead give times a nonzero term linear in , so is impossible. Thus
A path that reaches level from below does so while in state , because is continuous and has slope . At the first crossing time, the residual exponential holding time is memoryless and the Strong Markov property restarts the chain from . Conditional on ever reaching , the probability of subsequently exceeding is therefore exactly the original probability of exceeding . Hence
The zero-level limit is one because the initial holding time is positive almost surely. Also , and it is nonincreasing. Consequently is nondecreasing and additive. First is linear on positive rationals, then monotonicity gives the same result on all positive reals. Thus
Absorption can be viewed as killing at rate , independent of sign changes at rate ; this ensures the maximum is finite almost surely and makes the positive decay rate found in (iv) natural.
For a decision rule and loss , its risk function is . It is an admissible estimator if there is no rule with risk everywhere no larger and somewhere strictly smaller. A Bayes decision rule minimizes for a specified prior . A minimax decision rule minimizes over all rules.
Here the maximum-likelihood estimator is , and its squared-error risk is
Write the proposed estimator as with for , and assign any value at zero, an event of probability zero. Expanding the squared loss gives
Stein's lemma for a unit-covariance normal vector says when the relevant derivatives and expectations are integrable. With ,
The singularity causes no difficulty in three dimensions: is locally integrable against the volume element , and the normal tails control infinity. More formally apply Stein's lemma first to , then let ; its squared norm and derivative magnitudes are bounded by constants times , so dominated convergence justifies the limit. Consequently
The expectation is finite and strictly positive. Thus this James–Stein estimator strictly dominates the maximum likelihood estimator, which is inadmissible under the specified squared-error loss.
Set , , and . The terminal wealth is , a normal random variable with mean and variance . Its moment-generating function gives
Maximizing this expected exponential utility is equivalent to maximizing the strictly concave quadratic form . Since the nonsingular covariance is positive definite, the unique stationary point is the unique maximum:
With , the budget constraint is . On this hyperplane the riskless term is constant, so maximize . The Lagrange multiplier equation gives . If , let and impose the budget constraint:
Positive definiteness makes the objective strictly concave on the hyperplane, proving this stationary point is the global constrained optimum. If , the cash-free constraint is feasible only when ; in that degenerate case the optimum is . The displayed quotient, including the one in the question, presupposes .
Assume and keep , . The constraint is . If the unrestricted optimum in (i) lies in this half-space, it remains optimal. Its cash holding is
Thus it has strictly positive cash precisely when . If , the free optimum violates the constraint, so strict concavity and the Karush-Kuhn-Tucker conditions put the optimum on the boundary, where it is the cash-free solution in (ii). At equality the two solutions coincide. Therefore
In particular,
The multiplier for the inequality is , explicitly checking the complementary-slackness condition.
In phase-space coordinates , the characteristic equations for a transport equation are the Hamilton equations
Smoothness of gives a unique local Hamiltonian flow . Along it the chain rule gives . Thus
The inverse is the backward autonomous flow, so this formula defines the unique local classical solution wherever the characteristic reaches the initial hypersurface. A smooth Hamiltonian on all of need not have a globally complete flow; the formula is understood on the interval and region where both flows exist. A common global time interval requires the corresponding completeness or growth assumption.
Every value of the solution is transported unchanged from its initial characteristic endpoint. Therefore the formula from (i) immediately gives
More generally the Hamiltonian transport equation preserves the range of the initial values while its characteristic solution exists: it neither creates negative values nor changes values by a source term.
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