Let . By the definition of Cauchy sequence, choose an integer such that whenever . Apply the given inequality with . It supplies for whichBoth and are in the Cauchy sequence estimate, soFor every the triangle inequality givesThis is the definition of convergence to zero: . The proof uses only the Cauchy sequence estimate, positivity, and the stipulated inequality; it does not assume the general completeness of the real numbers theorem for Cauchy sequences. Taking also avoids the empty initial set in a literal reading of the condition for very small .
For , choose , . For , define the continuous functionIts values at the grid points have the telescoping sumIf one summand is zero, we already have a zero of . Otherwise the summands cannot all have the same sign, so two of these values have opposite signs. The intermediate value theorem between their arguments gives with . Set , . ThenThis is the horizontal chord of reciprocal-integer length property; the telescoping sum explains why reciprocal integers appear.
The greatest common divisor of and is , which divides . Divide the linear Diophantine equation by to obtainReducing modulo gives , so . Substitution gives the complete family of integer solutionsEvery such pair satisfies the equation, and every solution must have this residue for , so none are omitted. Positivity requires and . For integer these are exactly . Thus the pairs with both entries positive are
Let be any positive integer. If divides and , it divides the integer linear combination . Conversely, if divides and , it divides . Thus and have exactly the same positive common divisors. Their greatest elements coincide:This greatest common divisor invariance is the step behind the Euclidean algorithm; it does not require , although that additional bound ensures the algorithm terminates. If the convention permits , the same argument works and for .
Back-substitute in the Euclidean algorithm to obtain an integer linear combination:Multiplying by gives the particular solution of the linear Diophantine equation. Subtracting it from any other solution and dividing by givesThe integers and are coprime, so divides . Writing forces . Conversely these expressions satisfy the original equation for every integer . Thus all solutions of a linear Diophantine equation here are
Treat the boundary data as -periodic in the angular variable. Denote the outer data by , and set for the inner data. Define their mean and nonconstant Fourier coefficients byThe outer data have reflection symmetry, so all their sine Fourier coefficients vanish. Their mean is , and their cosine Fourier coefficients are
The angular Fourier harmonics for a single-valued harmonic function in an annulus are and , with integer . Their radial factors are independent combinations of and ; the zero angular mode has radial factor . For arbitrary inner data, the sine and cosine modes need independent radial coefficients: forcing them to share one radial factor, as in the product form supplied in the paper, would impose an extra restriction. For either sine or cosine mode, if its outer and inner coefficients are and , the radial coefficients obeySolving this linear system givesIt is convenient to collect the result into the annular harmonic interpolation factorsThey satisfy , , and . The zero mode satisfies and . Therefore the required separation of variables solution isAll dependence on is given by the displayed integrals. Substituting leaves its Fourier series, and substituting leavesthe Fourier series of the specified outer step. The radial factors satisfy , so each nonconstant term satisfies Laplace's equation; and do also. For integrable boundary data the radial factors give exponential decay on every closed subannulus strictly inside , justifying the necessary termwise partial derivatives there.
There is a qualification at the two outer jump discontinuities. By pointwise convergence of a piecewise smooth Fourier series, the outer series gives at , whereas the printed data assign at those two points. Thus the displayed solution attains the outer data at their continuity points, and has radial limit at the jumps. One may separately assign the boundary value at the two exceptional points without changing the interior harmonic function, but no continuous extension can match the discontinuous data there. For piecewise smooth inner data, the analogous boundary trace agrees with at continuity points and with its midpoint at jumps. Some regularity of is necessary for a classical interpretation; the problem imposes none explicitly.
Set in Laplace's equation. Separation of variables givesThe Sturm-Liouville problem in has the constant mode with , and the eigenfunctions with , . Indeed, integration by parts makes nonnegative; for the first Neumann boundary condition removes the sine term and the second requires to be an integer. For , both derivative conditions make constant.
Expand the top data using a Fourier cosine series:The constant coefficient isFor , the constant part has zero integral against , and two integrations by parts give
Since the bottom value is zero, a convenient factor depending on for the nonconstant modes is , which vanishes at . Its value at is . The zero mode is linear in , so matching both constant boundary values givesTo obtain exactly the paper's form, use the hyperbolic-function identityThus
Each product of hyperbolic sine or hyperbolic cosine with has . The zero mode is also a harmonic function. On , the factor lies between zero and one. Since converges, the Weierstrass M-test gives uniform convergence on the closed rectangle. The series therefore gives zero at the bottom and the continuous Fourier cosine series of at the top, including its endpoints. On compact subsets with , the factors decay exponentially with , justifying termwise partial derivatives. In particular on both open vertical edges because every differentiated cosine factor vanishes there. The solution has finite Dirichlet energy: Fourier orthogonality gives the th nonconstant mode's energy as , whose sum is finite. Here is the hyperbolic cotangent. Thus a proves uniqueness in that class.
There is a corner compatibility condition for mixed boundary data in the printed wording. The top data have , but the paper writes even at . The series solves the interior equation and all the open-edge boundary conditions; the literal derivative condition at is incompatible with the top data. A function differentiable in along the top edge would necessarily have . Hence it cannot simultaneously satisfy the printed zero derivative at that corner, and there is no solution with all those literal corner requirements. The standard interpretation of this mixed boundary condition imposes the Neumann boundary condition on the open sides and the Dirichlet boundary condition continuously on the horizontal edges. Differentiating the series term by term on the top edge would be invalid at this corner; the uniform convergence of the undifferentiated series does not license that operation.
Write , whereThe binomial theorem for commuting matrices applies because . All terms of degree at least three vanish, so for every positive integer ,The same expression directly gives when , so no small exponent is excluded.
Neither nor is divisible by a prime number, so both lie outside . On the other hand, . If an integer has , part (a)(i) supplies a prime number dividing the positive integer ; the same divides , so . These cases exhaust , proving
A limit point of is a point such that, for every , the punctured neighbourhood meets . A closed set contains all of its limit points.
Every nonempty open interval contains a rational number; applying this to shows that every is a limit point of . Thus the limit points of form , and is not closed.
The integers form a countable set, and the events are disjoint. By countable additivity and part ii,Countability is essential: one cannot use the same sum argument over an arbitrary uncountable collection of zero-probability events.
For an integer , is the same event as . Integration for the Pareto distribution givesThe second identity subtracts two successive tail probabilities, equivalently integrating over . If includes zero, the extra case is and , since almost surely.
By part iii, is an integer with probability zero. Thus almost surely, andThe pointwise inequalities implyPutting and rearranging yieldsThis extracts bounds for an infinite series from simple rounding inequalities.
For a nonzero separated solution , separation of variables gives . The zero Dirichlet boundary conditions force , , with integers ; the time factors are . Expanding the initial profile in this Fourier sine series requires only the two already displayed spatial modes. ThusBoth terms individually solve the heat equation, vanish at the endpoints and give the required initial profile at . The initial function is also on the bar; the later solution stays nonnegative and tends to zero as heat leaves through the fixed-temperature ends.
Normalization of a probability distribution and the geometric series give , so . For a nonnegative integer , the strict tail starts at :For nonnegative integers , the event is contained in . ThereforeThis is the memorylessness of the geometric distribution with the zero-based counting convention. Keeping strict versus non-strict inequalities explicit is essential: , conditional on , has the original distribution of .
The values of the complex logarithm at are , . For any such value and any integer ,This is an integer multiple of , so its sine is zero. In particular the result holds with the principal value . The argument does not require treating the multivalued logarithm as a single globally defined function.
For , integration by parts gives the Gamma function recurrence:The endpoint terms vanish because at zero and the exponential dominates the power at infinity. Also . Iterating for nonnegative integers therefore yieldsNegative integers are outside this integral definition and factorial conclusion.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2009 Paper 2 10 Solution Created 2026-10-18 Updated 2026-10-20
For , the exponential power series gives the normalization of the Poisson distribution:For , the limiting law assigns probability one to and zero to every positive integer . Negative would not define the stated probability distribution.
Past exam of the mathematics course of the year 2 of the natural sciences course of the University of Cambridge 2003 Paper 2 1 Solution Created 2026-10-18 Updated 2026-10-20
For a vacuum electric potential, put in Laplace's equation in spherical coordinates. Multiplication by separates the radial and angular terms. With separation constant and , the angular Legendre differential equation isRegularity at both polar axes selects nonnegative integers and the Legendre polynomials. The radial equation is , whose independent solutions are and . Hence the angularly regular axisymmetric vacuum solution isThe radial domain and its boundary conditions determine which terms are admissible.
For the given charge density, only is forced. Write . The interior radial Poisson equation is . The identity for the Poisson equation with a spherical harmonic source gives the particular solution , since the radial operator takes to four. Finiteness at zero and decay at infinity therefore giveContinuity of the electric potential and its radial derivative at requires and . Solving gives , , soAll other angular modes have zero coefficients after imposing regularity, matching and decay. At the origin the interior expression is , which extends with a continuous gradient and value zero. The angular charge density has no unique value exactly at that point; Poisson's equation holds classically for and as a weak solution through the origin. There is no additional point charge.
Past exam of the mathematics course of the year 2 of the natural sciences course of the University of Cambridge 2003 Paper 2 5 Solution Created 2026-10-18 Updated 2026-10-20
The Laplace transform is wherever it converges. For sufficiently large , suitable exponential bounds justify integration by parts and differentiation under the integral sign, givingFor a nonnegative integer and real , substitute in the gamma integral. The result extends holomorphically to , givingThis also follows recursively from the second identity, starting with .
Put , and . For a solution with finite initial values and the required transform bounds, the transformed equation isThe initial-value terms cancel, leaving . On the real interval , a nonzero solution satisfiesIntegration gives . Inverting term by term yieldsTaking gives a nonzero solution, verified by direct substitution. It is , and the rational transform agrees with the general Laplace transform of a Laguerre polynomial. No claim about solutions with singular initial behavior is needed to produce this regular solution.