A Hermitian form is conjugate-linear in its first argument, linear in its second, and satisfies . For , the hypothesis says . The complex polarization identitytherefore gives for all .
The displayed matrix is Hermitian. By Sylvester's criterion, its leading principal minors areHence the form is
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The closure is the intersection of all closed subsets containing ; equivalently, every neighbourhood of a point of meets . The subspace is dense when . A space is Hausdorff when distinct points have disjoint neighbourhoods.
For Hausdorff , the diagonal is closed in . Thusis closed. Since it contains the dense set , it equals .
The conclusion fails without Hausdorffness. Let have the Sierpinski space topology and let , which is dense. The identity map and the constant map with value are continuous and agree on , but differ at .
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If such an existed, boundedness would make its isolated singularity at zero removable. Let be the holomorphic extension to the disc. Continuity gives . Equality at either endpoint contradicts the minimum-modulus principle applied to or the maximum modulus principle, since is nonconstant. Hence . Surjectivity of supplies some nonzero with , contradicting injectivity of the extension. Therefore
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The first term is radial kinetic energy from the Laplacian, the second is the attractive Coulomb potential, and the third is the centrifugal energy from the angular-momentum eigenvalue . Single-valued spherical harmonics require
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Substitute into the radial Schrodinger equation and equate the coefficients of , , and the constant term. Regularity selectsThe corresponding bound-state energy is
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The higher state has principal quantum number and the lower one . Energy conservation for the emitted photon gives
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Solved by gpt-5.6-sol high.
The divergence equation requires , and the wave equation requiresFor propagation in the positive direction, Faraday's law givesThus , , and the propagation direction are mutually perpendicular.
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The Poynting vector isIt is the electromagnetic energy flux in the propagation direction; its time average is .
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Let be the degree- cardinal polynomial with . Exactness applied to the nonnegative polynomial givesbecause and is nonzero. Thus every Gaussian quadrature weight is positive.
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Symmetry gives nodes with equal weights . Exactness for and requiresThereforeOdd moments vanish automatically, so the rule is exact through degree three.
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Let . By the Strong Markov property, after every return to the chance of another return is again . HenceThus is geometric with success parameter ; when , it is infinite almost surely.
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In a transient irreducible chain, every state is transient, so the expected number of visits satisfiesThe terms are nonnegative, and every convergent series has terms tending to zero. Therefore
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The rank is and the nullity is . Extending a basis of the kernel to a basis of , the images of the added vectors form a basis of the image, proving the rank-nullity theorem
Since , the upper sum bound follows. Applying it to and interchanging gives the lower bound. For products, the image lies in and is the image under of , giving the upper bound; rank-nullity on that restriction gives
All four bounds are sharp. In a fixed basis, nested diagonal projections attain the product upper bound; placing with the smallest possible intersection with attains its lower bound. Taking on a subspace of dimension attains the sum lower bound, while choosing the two images in general position and avoiding cancellation attains the sum upper bound.
Both upper bounds need not be attainable simultaneously over every field. Over with and both ranks one, necessarily . Then but , below its upper bound one.
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A polynomial over a unique factorization domain is primitive when its coefficients have no common nonunit factor. If a prime divided every coefficient of a product of two primitive polynomials, reduction modulo that prime would turn the product of two nonzero polynomials over an integral domain into zero, impossible. This proves Gauss lemma for polynomials.
If positive-degree became non-coprime in , they would share a positive-degree primitive factor after clearing content. Gauss's lemma then makes that factor divide both in , contrary to coprimality. Hence they remain coprime over the fraction field.
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Regard as polynomials in over . Their coprimality and the preceding argument let Euclid's algorithm producewith coefficients in . Clearing denominators gives a nonzero , so . Interchanging gives a nonzero .
In the quotient, . Reducing powers by these two univariate relations shows that the finitely many monomialsspan. Therefore is finite-dimensional.
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A space is connected when it has no separation into two nonempty disjoint open sets; the connected subspaces of are exactly the intervals. A space is path connected if every two points are joined by a continuous path. A separation would pull back along a path to a separation of , so path connectedness implies connectedness.
Each of the interval components of must map into one of the components of . This assignment is constant on every connected component of the uniform function space. Conversely, for a fixed assignment, straight-line interpolation within each target interval gives paths between maps. Hence
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Take the topologist's sine curveIt is closed and bounded, hence compact. The oscillating graph is connected and accumulates on every point of the vertical segment, so its closure is connected. No path joins the graph to the vertical segment, as continuity of the first coordinate and the unbounded oscillation of would fail at the first time the path reaches . Thus is not path connected.
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Constant maps identify a copy of inside . If the function space were path connected, evaluating a path of functions at would give a path in between any two constant values. Since is not path connected,
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The constant maps form a connected subspace homeomorphic to . Every is joined to the constant map byUniform continuity of makes continuous in the uniform metric. Thus the function space is a union of connected sets, each meeting the connected set of constant maps, and so
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The Poincare disc model has metricRotations about the origin are hyperbolic isometries, so a Euclidean circle centred there is a hyperbolic circle. Its radius is the radial length
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The hyperbolic law of sines isSet in the cosine laws for sides and angles and eliminate and . Straight algebra gives the right-triangle identities
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Gauss-Bonnet theorem gives the area of a curvature- triangle as . Split the regular polygon into congruent right triangles. If is a polygon half-angle, the right-triangle identity and part (a) giveThe polygon area is . Rewriting yields
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A regular hyperbolic hexagon has angle tending to as its radius tends to zero and to zero as its vertices approach the ideal boundary. Continuity therefore gives a radius at which every angle is .
Two congruent right-angled hexagons glued along three alternating sides form a hyperbolic pair of pants with geodesic boundary. Glue such pairs of pants along boundary curves in the usual pants decomposition. The right angles match smoothly and produce a closed hyperbolic surface of genus for every .
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Solved by gpt-5.6-sol high.
The Bromwich inversion integral closes to the left for . Equivalently, partial fractions at the two double poles giveTaking residues therefore yields
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The transform factors as , whose inverse factors are and . The Laplace convolution theorem givesand direct integration producesconfirming part (b).
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The first three initial values vanish and the third derivative at zero equals one. Transforming the differential equation givesso . Hence
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For variations with at both endpoints, integrating the term once and the term twice givesThe fundamental lemma yields the higher-order Euler-Lagrange equation
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DifferentiateThe product rule cancels all terms exceptOn an extremal with no explicit dependence both terms vanish, proving the stated conserved quantity.
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The Euler-Lagrange equation isPut , , and . The conditions at zero reduce the general solution toDefineThe remaining boundary conditions givewhich determines the unique extremal explicitly.
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The standard contour transformholds for , with the appropriate upper or lower pole chosen according to the sign of . Therefore
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Fourier transformation in changes Laplace's equation intoImposing the two boundary values givesThe value at is understood by continuity.
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Solved by gpt-5.6-sol high.
The Time-dependent Schrodinger equation is . Differentiate , use the equation and its adjoint, and include explicit time dependence of the operator. This gives Ehrenfest theorem
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With and , the chain rule gives and . The drift terms cancel, soApplying Ehrenfest's theorem with and gives
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The phase has unit modulus and , henceThe free-particle equations imply . ThereforeThe wavepacket centre obeys the classical constant-acceleration trajectory, an instance of the correspondence principle.
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Irrotationality gives and . At , the exact kinematic conditions areand pressure continuity gives . Bernoulli equation in each fluid is
Linearize at and write . Decay at infinity givesThe kinematic conditions give , while pressure continuity givesElimination yieldsStable waves require the lower fluid to be denser, ; otherwise this is the Rayleigh-Taylor instability.
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A statistic is sufficient when the conditional law of the sample given it is parameter-free; it is minimal sufficient when it is a function of every sufficient statistic. The likelihood factors asso the factorization theorem makes sufficient. The likelihood-ratio criterion shows that the ratio for two samples is parameter-independent exactly when both and agree. Thus
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For known , the likelihood ratio of to iswhich increases with . Reject for , with randomization at chosen so that the null rejection probability is exactly . Since the zero indicators form a Bernoulli family with success probability increasing in and have a monotone likelihood ratio in , the Karlin-Rubin theorem makes this test uniformly most powerful for .
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The null value is interior and the model is regular. Wilks theorem therefore givesunder the null, because the alternative adds one free parameter. An asymptotic size- test rejects when
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A two-player zero-sum game has a payoff gained by one player and lost by the other. A pure strategy chooses one action deterministically; a mixed strategy is a probability distribution over pure actions.
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A pure optimum is a saddle point: an entry minimal in its row and maximal in its column. In , at is a saddle; in , at is a saddle. Matrix has row maximin and column minimax , so no saddle exists. Thus
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Every payoff is positive, so every pair of mixed strategies has positive expected payoff and the game value satisfies . Player 1 maximizes subject to , , . Setting turns these intoMaximizing is therefore equivalent to the stated minimization of .
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The dual iswhich is in standard maximization form after adding nonnegative slack variables. The simplex pivots first introduce the variable with coefficient seven and then the remaining payoff column; the optimum occurs where both constraints bind:Thus and the dual value is . Complementary slackness gives . Hence and the normalized optimal strategies are
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