Use the standard complex inner product , conjugate-linear in its first argument. A unitary matrix satisfies , and a Hermitian matrix satisfies , where is conjugate transpose.
If with , then
Positivity of proves . If , preservation of the norm gives , so .
For eigenvectors and , the Hermitian matrix identity gives . The already established reality of the eigenvalues therefore implies . Thus distinct eigenvalues have orthogonal eigenvectors.
The Eisenstein criterion says that a primitive integer polynomial is irreducible over if some prime number divides every for , does not divide , and does not divide . By Gauss lemma for polynomials, this gives irreducibility in as well.
For prime , translate the variable in :
Its leading coefficient is one, all other coefficients are divisible by , and its constant coefficient is exactly . The Eisenstein criterion proves this translated polynomial irreducible. Since is an invertible substitution in , is irreducible too.
If with , then
Both factors have positive degree and integer coefficients, proving reducibility. Consequently
The integral is finite and nonnegative because is continuous on a compact interval. If it vanishes and , continuity gives a relative interval of positive length on which , a contradiction. Thus the integral is zero only for . For a real scalar , , and the pointwise triangle inequality integrates to . These are all the norm axioms.
The given sequence satisfies
Hence it converges to the zero function in this integral norm. Although for all , an isolated endpoint contributes no integral. The pointwise limit is discontinuous, and the sequence does not converge in the uniform norm; neither fact obstructs convergence in the stated norm.
For a closed piecewise continuously differentiable path avoiding , the winding number is
Break the parameter interval at the finitely many derivative discontinuities when evaluating this integral. Translating the curve gives , which will also be used below.
Where both derivatives exist, the ordinary product rule gives
Neither denominator vanishes. Integrate over a common piecewise-smooth subdivision and use the contour characterization of the winding number:
On the right half-plane a single-valued holomorphic logarithm is , with , and its derivative is . Thus
This proves the conclusion directly from the integral definition of the winding number, without appealing to its homotopy invariance.
Put . The strict inequality gives , so . This is a closed piecewise-smooth curve in the right half-plane, and part (b) gives . Since , part (a) yields
This is the dominated perturbation preserves winding number principle, here derived by logarithmic differentiation.
Take characteristic coordinates and . Then . The wave equation is therefore , whose general twice-differentiable solution is
The first fixed-end boundary gives . The second gives , hence ; has the same period. Thus with a -periodic function .
Let and . Then and , so the quadratic energy density reduces to . Changing to in the second integral proves
The right side integrates a periodic function over one full period and is independent of its starting point. More explicitly its time derivative is . This is conservation of the fixed-end wave energy.
The operator commutator is , acting on a common domain where both products are defined. Use the canonical commutation relation , with positions mutually commuting and momenta mutually commuting. On smooth test functions the only nonzero terms in the expansion are
Thus the orbital angular momentum commutation relations give
The product rule for a operator commutator gives
because the last operator expression is symmetric in , whereas is antisymmetric. Hence for every component.
Write and . The differential angular momentum operator annihilates every radial function, so and the same holds for its square. For example , and . Cyclic symmetry gives and as well. Therefore
The wavefunction is an orbital angular momentum state; its nontrivial radial factor does not change its angular eigenvalue. The calculation holds away from the origin and defines the same angular-operator identity in the square-integrable state space.
For static fields, the Maxwell equations give and . Write . A gauge transformation leaves unchanged; choose to impose the Coulomb gauge. Then
For a localized conserved current with the potential chosen to vanish at infinity, the supplied fundamental solution gives the magnetic vector potential
Its divergence vanishes by integration by parts and . For a filamentary loop the current integral becomes , so
For much larger than the fixed loop size, expand . The leading constant term integrates to zero because . Therefore
The vector triple-product identity gives . Integrating the derivative of around the closed loop shows . Consequently
Equivalently, , where is the magnetic dipole moment. The leading displayed potential is of order ; the remainder is smaller by a factor .
An -node Gaussian quadrature formula chooses nodes and weights for an integral with a positive weight so that every polynomial of degree at most is integrated exactly. Its nodes are the zeros of the degree- orthogonal polynomial for that weight.
For the even weight , the monic orthogonal quadratic has the form . Orthogonality to follows from oddness; orthogonality to one gives
The nodes are . The equal weights sum to , hence each is . The two-node Gaussian quadrature with quadratic weight is therefore
To verify cubic exactness, divide any cubic as with . Orthogonality removes from the integral and its nodal values vanish; linear interpolation integrates exactly. This also proves the Gaussian property rather than merely matching two moments.
Let be the simple symmetric random walk started at the origin. Odd-time returns are impossible by parity. A return in steps requires equal numbers of positive and negative steps along each axis. If these paired counts are with , counting the possible step arrangements gives
Define . These are multinomial distribution probabilities and sum to one. Rearranging the return formula gives
The maximum occurs when the three counts differ by at most one: if , replacing by multiplies by . At balanced counts, Stirling's formula gives ; the exponential factors cancel because each count is , and the square-root factorial factors leave one inverse power of . The same formula gives . Hence
This is the multinomial collision proof of three-dimensional walk transience. The sum is the expected total number of visits to the origin. If the probability of returning after departure were one, the Strong Markov property at successive returns would make every successive return finite almost surely, giving infinitely many visits and contradicting that finite expectation. Thus the origin is a transient state. Translation invariance gives the same conclusion at every lattice point: the three-dimensional walk is transient.
Apply the Gram-Schmidt process explicitly. Start with , and for set
Assume inductively that the previous form an orthonormal basis for the span of . Inner products give for every . Moreover : otherwise would lie in the span of its predecessors, contradicting that the form a basis. Thus is well defined and has unit norm. The definition expresses in the span of , and also expresses in the span of . The two spans therefore agree at each stage. Induction proves the required orthonormal, span-preserving basis.
The symmetric coefficient matrix of the quadratic form is
Thus To obtain its signature, put and . Completing the square yields
The transformation from to is invertible. The inertia of a bilinear form is consequently
If signature means the signed difference , its value is for and for . At the diagonal form has one zero direction, confirming degeneracy.
Let be a prime element of the Gaussian integers. Its norm is a positive integer greater than one, so divides some ordinary positive prime number in its integer prime factorization. It cannot divide two distinct such primes : an integer Bézout identity would imply , contrary to its being a nonunit. This proves existence and uniqueness of the rational prime lying below .
Up to associates, the complete list of Gaussian prime elements is: ; the positive rational primes ; and, for every rational prime , the two nonassociate elements and , where and . Representatives related by multiplication by one of are associates. The last pair accounts for both factors of a split prime.
Every residue class modulo has a unique representative with , since means both coordinate differences are divisible by . Hence and
For , the class of is nonzero but its square is ; thus the quotient ring is not a field. For , a root would imply , contradicting Fermat's little theorem. The quadratic is therefore irreducible and its quotient is a field with elements.
For , choose a generator of the cyclic group . Then satisfies . The two nonzero classes and have product zero in . Thus
For it is instead isomorphic to , by the distinct linear factors and the Chinese remainder theorem.
At , regularity makes linearly independent. The tangent space is , and an oriented unit normal vector is
Reversing its sign chooses the opposite orientation. The first fundamental form is the squared length of a tangent displacement:
where , , . Its determinant is positive.
Use to distinguish the scalar coefficient of the second fundamental form from the normal vector. Since , its derivatives are perpendicular to it and hence tangent. Write and . Differentiating gives
Substitution of the tangent expansions proves
The shape operator is ; its matrix in the parametrized tangent basis is the negative transpose of the coefficient matrix shown. Its determinant, the product of the principal curvatures, is therefore
the Gaussian curvature. Transposition and the two minus signs do not change this determinant.
The fundamental theorem of calculus shows that the differential initial-value problem is equivalent to
In one direction integrate from zero. In the other, continuity of the integrand makes the right side continuously differentiable with precisely that derivative and initial value.
Consider the closed subset of the complete space with the uniform norm. It is complete: a uniformly Cauchy sequence has a uniform continuous limit, and the closed range constraint passes to the limit. Define
The bound gives , so maps into itself. The uniform Lipschitz condition gives
Here negative changes only the orientation of the integral; its length is still at most .
Construct and . Induction gives . Summing this geometric bound proves uniform Cauchy convergence to some . The same contraction estimate shows , so . The integral equation now makes a solution. If another solution existed, it would also be fixed, and would force equality. This proves existence and uniqueness on the entire stated interval, implementing the contraction mapping theorem rather than just invoking it.
If , the vector field is zero and the solution is constant. If , the vector field is independent of the space variable and the integral solves the problem directly. The divisions by zero in the printed interval bound are naturally interpreted as imposing no restriction from the corresponding term.
For nonempty , the triangle inequality gives for every . Taking the infimum yields . Interchanging proves
Thus the distance to a set is a Lipschitz function, hence continuous. If and is closed, its open complement contains a ball ; every point of is at least away. Hence for .
For two nonempty disjoint closed sets, let . It is continuous, negative on and positive on . The disjoint open sets and contain them. Empty sets cause no difficulty, using an empty neighborhood for the empty set. This proves every metric space is a normal topological space.
In any normal space, a closed contained in an open can be separated from : choose disjoint open and . Because is closed and contains , . First choose disjoint open around , then apply this argument separately to each pair . It gives , and therefore . This is closed-neighborhood shrinking in a normal space.
For the two specified hyperbola branches, explicit choices are
They are open and contain the branches with products and . Their closures lie respectively in and . Any common point would have , making both product inequalities impossible. Thus their closures are disjoint even though the original branches can approach one another arbitrarily closely at large height.
The function is odd, so its Fourier series has no constant or cosine terms. If , it is already a Fourier basis function: for the only sine coefficient is ; for it is ; for the function is zero.
For real noninteger , the product-to-sum identity gives
Since both numerator sines equal , the Fourier series of a noninteger-frequency sine is
It equals the function for . At either periodic endpoint it equals the average of the two one-sided limits, namely zero; the noninteger-frequency function has a jump in its periodic extension there. Equality also holds in the square-integral sense on the full interval.
For , and . The Parseval identity for a real sine series is . Hence
An isotropic tensor has unchanged components under every proper orthogonal change of basis: for every . Orthogonality gives , so the Kronecker delta is isotropic. The determinant identity gives , so the Levi-Civita symbol is isotropic too. If reflections are included, this last object is a pseudotensor: it changes sign. The question's isotropy convention therefore refers to proper rotations.
For the sphere moment , change variables to . Rotations preserve the sphere and its area measure; inserting the component transformation proves that is an isotropic tensor. For the second moment, half-turns about coordinate axes kill the off-diagonal components, while rotations interchanging axes make the diagonal entries equal. Thus it is a multiple . Contracting the indices gives . Odd moments vanish by , including the third moment. The supplied general fourth-rank form and symmetry under every permutation of the four indices make its three coefficients equal. A double contraction then gives . Thus
To explain the weighted volume integrals, put ; its bilinear square is , without complex conjugation. Separating radial and angular factors gives
For the angular factor is . For it is zero by oddness. For it is . Therefore all three requested integrals vanish, assuming the radial integrals exist. More generally the null-vector cancellation of radial moments follows from rotation about the third axis, which multiplies the integral by without otherwise changing it.
Assume homogeneous space and time, isotropic space, inertial frames related linearly, the relativity principle and a common isotropic speed for light. Take coincident origins at zero and parallel axes, with moving at along . The primed origin requires . Write ; mapping each light ray into gives and . Rotational symmetry about the boost axis gives a common transverse scale ; reversing the boost direction by spatial isotropy gives . Reciprocity then gives , and continuity and the common orientation select . Thus transverse directions are unchanged. Reciprocity requires the inverse to have the same scale with replaced by . Composing gives ; continuity from at selects the positive root. Hence the Lorentz transformation is
The printed wavelength formula uses the angle of the line of sight from observer towards star, opposite to photon propagation. Choose the transverse axis so the ray lies in the plane. With that directed-angle convention the photon four-momentum is
The inverse coordinate boost takes a rest-frame four-vector to , giving and , where . Thus , and the aberration of light relation is . More directly, the boost from to gives , hence . Since wavelength is , the relativistic Doppler effect gives
If the angle were instead measured along the actual photon momentum, both cosine signs would reverse and the same physical relation would have a minus sign. Specifying this orientation avoids confusing the two versions.
For , : a receding star is redshifted. For , the ratio is : an approaching star is blueshifted. For , : the transverse redshift is the time-dilation effect. This transverse condition refers to the observer's angle, not in the source frame.
Use the standard ideal-fluid assumptions underlying the stated relation: both fluids are incompressible, inviscid and unbounded away from the interface, with no surface tension. An irrotational flow has , and incompressibility gives in each fluid. The unsteady Bernoulli equation is
where the arbitrary time functions can be absorbed into the potentials. On the material-interface and normal-stress conditions are
Disturbance velocities decay as . The equilibrium pressures are .
Linearize at the resting flat interface. The equations become , on , and
For , write . Decay selects above and below. The kinematic conditions give and . Substituting into the dynamic condition gives
For a signed wave number replace by . A heavier lower fluid gives stable interfacial gravity waves; a heavier upper fluid gives and Rayleigh-Taylor instability. The density ordering is not silently assumed positive in the derivation.
Assume , which is necessary to identify the slope in linear regression through the origin. The joint normal likelihood has logarithm, apart from a constant,
Complete the square in . With and ,
The maximum likelihood estimation therefore first minimizes at ; differentiating in then maximizes at
This is a genuine finite maximum when . If all , the slope is unidentifiable. If , the likelihood is unbounded as , so no positive-variance maximum exists. For nonzero design and , zero residual has probability zero under the stated positive-variance model.
The least-squares estimator satisfies
A linear combination of independent normal random variables is normal; its mean is and its variance is . Hence
Let and denote the design and error vectors, and put . The residual vector is , while . Since ,
These are jointly Gaussian linear functions of , so the entire residual vector is independent of , not merely uncorrelated with it. Choose an orthonormal basis whose first vector is . In that basis has independent standard normal coordinates, and the residual keeps exactly the remaining coordinates. Therefore
Together with part (ii), this specifies the joint distribution as the product of the slope's normal law and the scaled chi-squared distribution. In particular : the variance maximum-likelihood estimator is biased downward.
For , use the unbiased residual variance . Under the null hypothesis, is standard normal and independent of . Hence
For a chosen significance level , reject the null in favor of the two-sided alternative exactly when , the stated upper quantile of the Student t-distribution. The exact two-sided p-value is . This hypothesis test does not substitute the biased MLE for without correcting its factor and does not use a normal critical value when variance is unknown.
Start with a feasible network flow, meaning capacity bounds and flow conservation at every vertex other than source and sink. Its residual network has, for an arc with capacity and current flow , a forward residual capacity and a reverse residual capacity . A reverse arc allows earlier flow to be cancelled. The Ford-Fulkerson algorithm repeatedly finds a residual source-to-sink augmenting path, takes the smallest residual capacity on it, and augments by , increasing forward flows and decreasing reverse flows as appropriate. Feasibility is preserved and the total flow increases by .
For rational capacities and initial flows, choose one common denominator and scale all quantities by . Every residual capacity and augmentation is then integral; each augmentation increases the integer-valued flow by at least one. The flow value is bounded by the finite sum of capacities out of the source, so termination occurs after finitely many augmentations. When no residual path remains, let be the vertices reachable from the source. Every original arc leaving is saturated and every original arc entering carries zero flow, or its reverse arc would extend reachability. Conservation then makes the flow value equal to the capacity of the cut . Every feasible flow is bounded by that cut capacity. Thus the terminating flow is globally optimal, proving the needed max-flow min-cut theorem conclusion.
For the given directed graph, begin at zero. One valid sequence of augmentations is:
Residual pathAdded flowCumulative value
S–A–B–T66
S–D–C–T1016
S–A–B–H–J–T319
S–A–G–H–J–T322
S–F–G–H–J–T224
S–F–E–K–C–T529
S–F–E–K–J–T130
Each amount is the current path bottleneck. The resulting nonzero arc flows are
every other arc has zero flow. Directly summing incoming and outgoing flows verifies conservation, and every displayed flow is at most its printed capacity. A minimum-cut certificate is
Its only outgoing arcs are , , and , with capacities . Therefore
The matching feasible flow and cut prove optimality independently of the augmenting-path choices.

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