The dual vector space is , the vector space of all linear functionals on . For a vector subspace , its annihilator of a vector subspace is
Given a basis , define by and extend linearly. If , evaluation at gives , so the are linearly independent. Every satisfies
so they also span and therefore form its dual basis.
Write . The condition is
Gaussian elimination gives and . Hence
Let . Since a principal ideal domain is an integral domain and , is a multiplicative subset avoiding zero. The stated equivalence relation and operations are precisely those of the localization of a ring .
For completeness, reflexivity and symmetry are immediate, while transitivity follows by multiplying the two cross-multiplication identities and cancelling a nonzero power of . If and , cross multiplication shows that the proposed sums and products are equivalent. Thus the operations do not depend on representatives. The usual fraction calculations then prove associativity, commutativity and distributivity, with identities and . Therefore is a well-defined commutative ring.
Let be an ideal of and contract it to
This is an ideal of , so because is a principal ideal domain. Every is a unit in a ring . Consequently, if , then , so and . Conversely , hence every multiple of it belongs to . Thus
so every ideal of is principal. The localization remains an integral domain; hence is a principal ideal domain.
The L1 norm properties of absolute homogeneity and the triangle inequality follow from the corresponding properties of the absolute value and the integral. If , the nonnegative continuous function has zero integral. Were , continuity would make it bounded below by a positive number on a nontrivial interval, contradicting the zero integral. Thus , proving positive definiteness.
Put and choose the continuous cutoff function
Then , , and is supported in the two endpoint intervals of total length . Therefore
Now suppose for every . Apply this to the above . By the uniform norm bound,
Hence , and continuity again gives .
A metric space metric satisfies positivity, exactly when , symmetry, and the triangle inequality. A subset is an open set when every has some with the open ball .
Both and are open. An arbitrary union of open sets is open because a point lies in one member supplying a ball. A finite intersection is open because the minimum of the finitely many available radii supplies a ball. Thus the metric-open sets satisfy the topology axioms.
For , the Cauchy-Schwarz inequality gives , so the topology is at least as fine as the topology. To see strictness, define the continuous triangular spikes
Then
Thus converges to zero in the L1 norm but not in the L2 norm. The two metrics induce different topologies.
Along a curve , the chain rule gives
Together with the second-order partial differential equation, these form a linear system for whose coefficient matrix is
A characteristic curve is precisely one along which this system is singular, equivalently where the principal symbol vanishes on a normal covector. Taking the determinant yields
For a time-independent current, the Maxwell equations reduce to magnetostatics:
Write using a vector potential and choose the Coulomb gauge . The vector identity for the curl of a curl gives the Poisson equation
The free-space Green function therefore gives
Taking the curl with respect to , moving it under the integral, and using gives the Biot-Savart law
Write . The vertical component of the balance gives hydrostatic pressure,
Its horizontal gradient is . The horizontal balance is consequently
Thus : the velocity is tangent to every level set of , so those contours are streamlines of the geostrophic flow.
Across a vertical section joining the contours and , an element of horizontal distance normal to the contours is , while . The volumetric flow rate is therefore
For dimensional analysis, , and , so the result has dimension , exactly that of a volume flux.
A simple hypothesis specifies a single probability distribution. For a test with rejection region , its size of a statistical test is the rejection probability under the simple null hypothesis, while its statistical power against the simple alternative is the rejection probability under that alternative. The Neyman-Pearson lemma states that among tests of size at most , a test rejecting for the largest values of the likelihood ratio has greatest power, with boundary randomization if needed.
Here
which decreases with . The best test therefore rejects for . Under , , so size requires . Its power is
Thus reject exactly when .
A function is a convex function when
for every and .
Fix , , and . Since the value function is finite, choose with
For the convex combination , convexity of gives
so is feasible for the intermediate right-hand side. Convexity of then gives
Letting proves
so is convex.
View as the matrix of a linear map of matrix rank . Choose vectors whose images form a basis of , extend them by a basis of to a basis of , and extend to a basis of . In these two bases the matrix of is the rank normal form
The two changes of basis give invertible with the displayed matrix equal to .
For the block upper triangular matrix , every nonzero term in the Leibniz formula for determinants sends the rows belonging to into the columns belonging to ; bijectivity then sends the remaining rows into the columns. The permutation sum consequently factors into the determinant sums for and , proving
Finally suppose , so : the map is an intertwining operator. If lies in the generalized eigenspace of for , then for some ,
Because and have no common eigenvalue, is invertible, hence . The generalized eigenspaces of span , so . Thus the Sylvester equation operator is injective.
First, every nonzero nonunit in a principal ideal domain factors into irreducible elements. Otherwise repeatedly choose a proper nonunit factor of ; then the principal ideals
form a strictly increasing chain, contradicting the ascending chain condition, since every principal ideal domain is a Noetherian ring.
Next every irreducible is a prime element. If but , then . The Bezout identity gives , so multiplying by shows . Thus irreducibles are prime.
Existence of an irreducible factorization and primality give uniqueness: an irreducible on one side divides the product on the other, hence is associate to one factor; cancel and continue. Therefore every principal ideal domain is a unique factorization domain.
Any unit in a ring of must also be a unit of , hence a nonzero constant . Membership of both and in requires , so
Let be irreducible. If , then . A nonzero integer that is neither a unit nor, up to sign, a prime number factors nontrivially in , so necessarily for a prime .
Now suppose and write . If , then
and both factors lie in and are nonunits. If , choose a prime ; then is again a factorization into two nonunits of , since . Both cases contradict irreducibility. Hence
Suppose were a product of irreducible elements of . Since degree of a polynomial is additive under products, exactly one factor has positive degree and all the others are constant. By the preceding classification, the positive-degree factor has constant term , while every constant irreducible is for a prime . Their product therefore has a nonzero constant term, contradicting .
Thus is not a product of irreducibles, so this integral domain is not an atomic domain and in particular is not a unique factorization domain.
A map is Lipschitz continuous with Lipschitz constant when
for all .
Fix . The Lipschitz inequality and the triangle inequality imply
while choosing gives a finite upper bound. Hence the infimum defining is a real number.
If , then for every , while gives the reverse inequality after taking the infimum. Thus . For arbitrary ,
Taking infima gives ; interchanging gives
This is the McShane extension theorem: extends without increasing its Lipschitz constant.
Two norms are equivalent norms when constants satisfy
for every .
For , the reverse triangle inequality gives
by the Cauchy-Schwarz inequality. Hence is Lipschitz continuous, and therefore continuous.
On the compact Euclidean unit sphere, is positive and continuous, so the extreme value theorem gives . Homogeneity then yields
Thus every norm on a finite-dimensional vector space is equivalent to the Euclidean norm; comparing two such bounds proves any two norms on are Lipschitz equivalent.
Let be the finite-dimensional vector space of real polynomials of degree at most . For fixed ,
is a norm: if it vanishes, the polynomial vanishes on an interval and hence is the zero polynomial. Also
is a norm on . By finite-dimensional equivalence of norms, there is , depending only on and , such that . Therefore
The extreme value theorem supplies at which the last supremum is attained, and hence
On an annulus , the Laurent theorem represents an analytic function uniquely as
For any positively oriented simple closed contour in the annulus winding once around , the coefficients in the Laurent series are
The formula follows from the Cauchy integral formula applied term by term, and it is independent of the chosen contour by the Cauchy integral theorem.
Using the Taylor series of the exponential and series division,
Thus the first three nonzero Laurent terms are
The singularities occur at . The nearest nonzero ones are , so this Laurent series is valid on .
The function has a simple pole of residue at every , because there. At , the term in cancels the principal part of . For , the summand
has residue at each of , so it cancels the corresponding pole of . Therefore all possible singularities of in are removable singularities: they are and for . After filling them in, is analytic throughout that disc.
Write the function from the preceding part as . Its expansion at zero is
Hence the residue theorem gives
Choose . This circle stays a distance at least from every pole of , so is bounded uniformly on it. Moreover
Thus , and the ML inequality yields
Letting solves the Basel problem:
The characteristic polynomial of is
When , its discriminant is positive, so has two distinct real eigenvalues and two independent real eigenvectors. Let have those eigenvectors as columns. Rescaling one column makes without changing the diagonalization. Hence and
This is the normal form of a hyperbolic element of PSL2(R).
Write and , so its Möbius transformation is , with . For , the Hyperbolic distance in the Poincare half-plane satisfies
At , the final parenthesis is . Since is strictly increasing on nonnegative arguments, every off the imaginary axis has
A fixed point of satisfies
Its discriminant is
where was used. Thus the two roots are nonreal complex conjugates, and exactly one lies in the upper half-plane. Consequently every elliptic element of PSL2(R) fixes a point of .
Take the parabolic element of PSL2(R)
It fixes no point in . A Geodesic in the Poincare half-plane model is determined by its unordered pair of ideal endpoints: either two real numbers or one real number together with . Translation adds one to every finite endpoint, so no such pair is invariant. Therefore this preserves neither a point nor a hyperbolic line in .
For a variation with at both endpoints, the first variation is
Two applications of integration by parts remove derivatives from . The boundary terms vanish, and the fundamental lemma of the calculus of variations gives the higher-order Euler-Lagrange equation
For the stated integrand,
so the equation reduces to
The general solution of this linear ordinary differential equation is
Decay and finiteness of the integral force ; gives , and gives . Hence the unique stationary function is
The function is an even function, so every sine Fourier coefficient vanishes. Direct integration gives
Thus
for the -periodic extension.
The homogeneous solutions are not -periodic unless , so there is a unique periodic solution. For a forcing term , a trial solution gives
Using the Fourier series from part (a), for which only odd occur and , yields
The coefficients decay fast enough to differentiate the series twice term by term, verifying the equation and periodicity.
In atomic units the Time-independent Schrodinger equation is
The displayed equation is the Radial Schrodinger equation for the hydrogen atom. Its radial derivative terms come from the Laplacian in spherical coordinates, the Coulomb term is the potential , and separation into spherical harmonics uses the orbital angular momentum eigenvalue , producing the centrifugal term .
For , substitute . Dividing the equation by and comparing powers of gives
The solution regular at the origin has , and when both equations agree. This is the circular Coulomb bound state. Thus
The radial probability measure is . With and the Gamma integral, the mean radius of a circular Coulomb bound state is
At fixed principal quantum number , the allowed orbital angular momentum quantum numbers are , and each has magnetic quantum number . Hence the orbital quantum degeneracy is
Including electron spin would double this to , but spin is absent from the stated wavefunctions.
Write the jump from side to side as . A thin rectangular loop in the static Faraday's law and a thin pillbox in Gauss's law for magnetism give
Thus the tangential electric field and normal magnetic field are continuous in the plane's rest frame.
For the boost , the Lorentz transformation of electromagnetic fields gives
Therefore
Moreover is purely normal, so . Consequently the transformed tangential boundary condition is
Using the magnetic-field jump across a surface current, , this can equivalently be written
The nonzero jump is consistent with Faraday's law because the magnetic-field discontinuity itself moves through Albert's frame.
This is the Gram-Schmidt process applied degree by degree. Inductively, subtracting projections onto makes orthogonal to every earlier polynomial. Since every subtracted polynomial has degree at most , the leading coefficient of the monic remains one, so is a real monic orthogonal polynomial of degree exactly .
Now take . For , symmetry of the inner product gives
because has degree at most . Only the and projections remain, yielding the three-term recurrence for monic orthogonal polynomials
where
The second identity uses plus lower-degree terms.
For the symmetric Legendre inner product, parity gives . Starting with , one obtains , then
Thus the first four monic Legendre polynomials are
For a finite irreducible Markov chain with invariant distribution , the mean recurrence time of state is
The simple random walk on the hypercube has the uniform invariant distribution because the hypercube graph is regular, so every vertex has mass . Therefore the expected first positive return time to the initial vertex is
Let be the expected hitting time from any neighbour of the origin back to the origin. After the first step, the return-time calculation from part (i) gives
so . Translation by the target vertex is a graph automorphism of the hypercube that exchanges the origin and that adjacent vertex, so the reverse expected hitting time is the same. Hence
Measure vertices by their Hamming distance from the target and let be the expected hitting time when that distance is . We already know . From distance one, one of the coordinate flips reaches the target and the other flips move to distance two. First-step analysis therefore gives
For ,

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