Choose bases of and , of dimensions and . A linear map is uniquely determined by the arbitrary images of the basis vectors, each with coordinates, so
Put and , and extend bases of to bases of . The condition forces the matrix entries from to a complement of to vanish and imposes no other restriction. Hence
For the last part let . Choose
A map in sends into itself, into , and into , with these choices independent. Therefore
A topological surface is a Hausdorff, second-countable space in which every point has a neighbourhood homeomorphic to an open subset of .
The antipodal action on is free. The surface quotient by a free finite action applies: Around each point choose a small open disc disjoint from its antipodal image; the quotient map restricts to a homeomorphism from that disc onto an open neighbourhood in the quotient. Compactness gives Hausdorffness and second countability descends from the sphere. Thus the quotient is the real projective plane, in particular a topological surface.
For the second quotient write a point away from the poles as
The map
in these cylindrical coordinates extends continuously over the poles and identifies exactly with . It therefore induces a continuous bijection . The domain is compact and the sphere Hausdorff, so this bijection is a homeomorphism.
The Laurent series is
Thus zero is an essential singularity.
On , put , so . The Taylor polynomials
converge uniformly there to . Moreover
For all sufficiently large , the uniform error is below half this lower bound, so whenever . Every zero therefore lies in .
For a regular constraint , an interior constrained extremum satisfies
together with the constraint; boundary cases must also be checked.
Here maximize subject to . The Lagrange multiplier equations give
At a positive maximizer these imply . Boundary points have zero volume, so the maximum is
For any ,
If the normal equation holds, the last two terms reduce to , so minimizes. Conversely, at a minimizer the directional derivative in every vanishes, forcing .
If has full column rank, then for every nonzero ,
Thus is positive definite and invertible, and the normal equation has the unique solution
For a null parameter space , the generalized likelihood ratio is
The Wilks theorem states, under standard regularity conditions and under the null, that
The null hypothesis is that mortality is independent of carbolic-acid use, equivalently that the two mortality probabilities are equal. The two-sided alternative is that they differ.
Use the Chi-squared test of independence, equivalently the likelihood-ratio statistic, with Pearson's statistic
where are the fitted counts under independence using the observed row and column totals. Under the null, is asymptotically . A size- test rejects when
The minimum-cost flow problem chooses, for each directed edge , a flow and solves
subject to
Feasibility requires .
Set . Then
and its balance vector is
The objective becomes plus the constant . Translation by is a bijection between feasible flows and preserves their ordering by cost, so the transformed zero-lower-bound problem is equivalent.
True. By Jordan normal form, the characteristic polynomial records the total size of the blocks for each eigenvalue, while the minimal polynomial records the largest block for each eigenvalue. In dimension three this determines every block partition: for algebraic multiplicity three the possibilities , , and have largest block sizes three, two, and one; multiplicities one and two are equally immediate. Thus the two matrices have the same Jordan form and are conjugate. This is the characteristic and minimal polynomials determine similarity in dimension three phenomenon.
False. At eigenvalue , algebraic multiplicity two and minimal-polynomial exponent two force one block . At eigenvalue , the blocks have total size five and largest size two, so there are only two possible partitions,
Hence there are exactly two conjugacy classes satisfying the given polynomial data, represented by
and
There cannot be three mutually non-conjugate examples.
True. Since is invertible, every eigenvalue is nonzero. If had a nontrivial Jordan block , then for the stated positive integer ,
would still have a nonzero nilpotent part and could not be diagonalizable. Therefore all Jordan blocks of have size one. This also proves diagonalizability inherited from an invertible power.
False. The real matrix
has the two distinct complex eigenvalues and , so it is diagonalizable over . It has no real eigenvalue and hence no real eigenbasis, so it is not diagonalizable over .
True. Suppose are real and for an invertible complex matrix , with real. Taking real and imaginary parts gives
The polynomial is not identically zero, since . Choose a real outside its finite zero set. Then is real and invertible, and . Thus and are conjugate over , as stated by complex similarity of real matrices implies real similarity.
Assume (i). For , write the ideal . Then for some . Since , the element divides both; and every common divisor of divides the displayed linear combination . Thus is a greatest common divisor and (ii) holds.
Assume (ii), and let an -submodule be generated by . Choose a common nonzero denominator and write with . Repeated application of (ii) shows that
for one element : the gcd at each step is a linear combination of the elements processed so far. Therefore
so (iii) holds. This is the finite-ideal property defining a Bézout domain.
Assume (iii). Because is a Noetherian ring, every ideal is finitely generated. Regard as an -submodule of . By (iii), for some ; since unless , this is a principal ideal of . Thus every ideal is principal and (i) holds.
Together with the previous two implications, this proves (i), (ii), and (iii) equivalent.
If (i) holds, the submodule theorem for free modules over a principal ideal domain says that any submodule is free. Its rank is at most , since tensoring the inclusion with embeds into . Hence has at most generators, proving (iv).
Conversely, apply (iv) with . Every ideal is an -submodule of and therefore has one generator, which is (i). Thus all four conditions are equivalent.
Suppose the additive group of the integral domain is isomorphic to . Every ideal is then an additive subgroup of a finitely generated free abelian group, so it has finitely many additive generators . These also generate as an -ideal: integer coefficients are coefficients from the canonical copy of in . Thus every ideal is finitely generated, proving that is Noetherian by noetherianity from finite additive rank.
For an example that fails (i)--(iv), take
It is an integral domain and has additive group . The ideal
has index two: modulo , one has and , and the resulting quotient is . If , multiplication by its generator would have determinant and absolute index
which has no integer solution. Hence is not principal, as detailed in nonprincipal ideal in the integers adjoined a square root of minus five. Condition (i), and therefore all four equivalent conditions, fails.
A Cauchy sequence in a metric space satisfies: for every there is such that whenever . A complete metric space is one in which every Cauchy sequence converges to a point of the space.
Every Cauchy sequence is bounded. Choose such that for , and put
Then every term lies in the ball .
Now suppose is complete and is a decreasing sequence of nonempty closed sets with . Choose . Given , choose with . For , both points lie in , so . Completeness gives . For each fixed , the tail lies in the closed set , hence . Therefore
Conversely, assume the nested-set property and let be Cauchy. Define
These sets are nonempty, closed, and decreasing. The Cauchy property implies ; taking a closure does not change the diameter. Choose . Since ,
Thus every Cauchy sequence converges and is complete. This proves the Cantor intersection theorem characterization.
The contraction mapping theorem states that a contraction of a nonempty complete metric space has a unique fixed point.
For each , the map is a contraction with the common constant , so it has a unique fixed point . This defines the required unique function. Fix . The fixed-point identities and the triangle inequality give
Consequently
The numerator tends to zero as by the assumed continuity for the fixed point . Hence is continuous, an instance of continuous dependence of the fixed point of a uniform contraction.
A subset is a smooth surface if every point has a neighbourhood in parametrized by a map , where is open, is a homeomorphism onto that neighbourhood, is smooth, and has rank two everywhere. These are the embedded surface parametrization conditions.
For the given set use local angular intervals in the parametrization
It is locally one-to-one and has tangent vectors
Their cross product has magnitude
so the derivative has rank two. The angular charts cover , proving that it is a smooth surface.
The area between heights and is therefore
By hypothesis this equals for every subinterval. Since the integrand is continuous,
and squaring gives
If , then never vanishes, so its sign is constant. The last equation gives
and hence
Thus for a constant , and
The graph lies on a circle of radius , exactly as described by constant strip-area density of a surface of revolution.
Termwise differentiation inside the disc gives
Consequently
Since , the constant is one, so . Thus is an analytic branch of the logarithm on with the required value.
Given , write with . On , define
Then and . After shrinking the neighbourhood of , continuity keeps its imaginary part in .
Near each , the local branch from part (a), chosen to have value at , agrees with
Indeed, two logarithms of the same nonzero number differ by times an integer, and the integer is locally constant; it is zero at . Hence is locally analytic and therefore analytic on . This is the analytic logarithm on the positive-axis slit plane.
For , an analytic branch is
The residue theorem states that if a meromorphic function has finitely many poles inside a positively oriented simple closed contour and none on it, then its contour integral is times the sum of the enclosed residues.
Apply it to
on a keyhole contour around the positive real axis. The outer and inner circles vanish as their radii tend to infinity and zero because and , respectively. On the upper bank the numerator tends to , while on the lower bank it tends to and the direction is reversed. Therefore the limiting contour integral is
The only enclosed pole is the double pole at . Since ,
The residue theorem now gives
For , division and
yield
At , the integral is one, agreeing with the continuous limit. This is the positive-axis keyhole beta integral.
The Lagrange identity for this Sturm-Liouville theory operator is
Integrating from zero to one, the boundary term vanishes because both and vanish at both endpoints. Since and , it follows that
This is the solvability condition at a Sturm-Liouville eigenvalue.
Because the parameter enters through ,
Use this as in part (a). The necessary orthogonality condition is
With and ,
Consequently
The normalization makes the second integral one. Divide by to obtain
This is the leading nonlinear eigenvalue shift in a Sturm-Liouville problem.
For a normalized state, write
Then and . The Schwarz inequality gives
Since and are Hermitian and their commutator equals ,
Therefore
which is the Robertson uncertainty principle.
Because is the adjoint of ,
Expanding gives the real quadratic
Its discriminant must be nonpositive. Since the expectation of a commutator of Hermitian operators is purely imaginary,
Taking and and then taking square roots gives the stated uncertainty relation. This is the quadratic-norm proof of the Heisenberg uncertainty relation.
For a differentiable wave function,
Thus . Substitution into part (a) yields
For ,
The stationary Schrodinger equation becomes
Hence, choosing the positive root and a positive normalization constant,
The state is even, so . The Gaussian integrals give
and therefore . These values are collected in gaussian eigenstate for a quadratic potential.
Finally, equality in the derivation of the uncertainty relation requires the centred vectors to be linearly dependent with a purely imaginary proportionality constant. Thus for some ,
In position space this says
whose normalizable solutions are
Thus every saturating state is Gaussian up to translation, a plane-wave factor, and an overall phase, as in the equality case of the Heisenberg uncertainty relation.
In SI units the Maxwell equations in free space are
Take the divergence of the Ampère-Maxwell equation. Since the divergence of a curl is zero, Gauss's law gives
Thus
which is charge conservation from Maxwell equations. Integrating over a fixed volume and using the divergence theorem yields
Charge in is conserved provided no current crosses . For total charge in all space, the corresponding assumption is sufficient decay of so that the flux at infinity vanishes.
In empty space the fields are divergence-free. Taking the curl of Faraday's law and using
gives
The same calculation, starting from the Ampère-Maxwell equation, gives the corresponding equation for . Thus every component satisfies the electromagnetic wave equation with speed
Its agreement with the measured speed of light identifies light as an electromagnetic wave.
Dot the Ampère-Maxwell equation with , dot Faraday's law with , and use the stated vector identity. The result is the local balance law
Here is the Poynting vector. Integration over gives the Poynting theorem
The field energy decreases through outward electromagnetic energy flux and through work done on charges.
The source-free equations imply , , and
Therefore
It is parallel to , and its period average is
The average electric and magnetic energy densities are equal:
Hence and , as summarized by energy density and flux of a plane electromagnetic wave.
For isotropic radiation, the average power is spread over a sphere. At , the intensity of an isotropic radiator is
Using the result of part (d),
Across the two vertical faces of a control rectangle, the mass fluxes are
with opposite signs, since is independent of . There is no flux across the horizontal faces because the -velocity is zero. The net mass flux is therefore zero, equivalently
The pressure force in the -direction on a rectangle of dimensions is
The shear stress is , so the net viscous force is
There is no convective acceleration. Dividing the momentum balance by the area and taking the limit gives
The -momentum balance gives , so the pressure depends only on .
For steady flow the momentum equation is
Applying no slip, and , gives the Couette-Poiseuille flow in a thin gap
The fluid shear stress is
The condition therefore gives
At , the linear terms cancel and
The volume flux per unit width is
At the upper wall,
This is the shear exerted by the plate on the fluid in the positive -direction. By action and reaction, the flow exerts on the top plate the stress
The same result follows from a force balance on a rectangle of length and full height . The pressure force is , the bottom shear vanishes, and equilibrium requires the top plate to exert on the fluid. Thus the fluid exerts on the plate. These results form the Couette-Poiseuille flow with a stress-free stationary wall.
The function is not Lipschitz on . For ,
which is unbounded as .
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