At a non-planar point of a minimal surface, the shape operator is not zero. Minimality gives nonzero opposite principal curvatures, so nearby and is invertible. The inverse function theorem makes the Gauss map a local diffeomorphism onto a patch of the sphere; part (ii) makes it conformal.
Choose stereographic coordinates on that sphere patch. Their metric is . Pulling them back by , the conformal identity gives
The positive coefficient shows that these are local isothermal coordinates. No general isothermal-coordinate existence theorem is needed: the nondegenerate conformal Gauss map supplies them explicitly.
Let be the self-adjoint shape operator. In an orthonormal principal basis, , with diagonal coefficients . The Gauss map is conformal with nonzero factor exactly when .
If the surface is minimal and has no umbilics, and , so this equality holds. Conversely equality of the squares gives either or . The first possibility is excluded by the no-umbilic hypothesis. Hence , proving minimality is equivalent to conformality of the Gauss map under the stated hypothesis. The factor is automatically positive because it equates positive definite inner products. The hypothesis is essential: a sphere has conformal Gauss map and nonzero mean curvature.
A minimal surface has zero mean curvature ; equivalently its area is stationary under compactly supported normal variations. Its principal curvatures satisfy , so its Gaussian curvature is
Equality occurs precisely where its second fundamental form vanishes.
The element has norm . To prove that it is a fundamental unit, let be a positive real unit with . Its conjugate is , so . For norm , the increasing function gives ; for norm , . Either contradicts integer . There is no positive unit between one and . For any positive unit, multiply by a suitable integer power of to place it in ; it must then equal one. Hence
To classify the norm-six elements, a principal ideal generated by such an element has norm 6. Unique prime-ideal factorization and part (b) force it to be either or . Therefore its generator is an associate of one of these two elements. Since their norms are respectively 6 and , the unit multiplying the first must have even exponent and the unit multiplying the second must have odd exponent. Combining the two cases gives all integer solutions:
Conversely every displayed element is integral, since is a unit, and has norm 6. This proves completeness of the norm-six equation in the quadratic field of square root ten.
The PDF's restriction to misses conjugate solutions. In particular satisfies the equation but is not in that restricted family; it is the member. A nonnegative-index version becomes correct by adding the conjugates of every displayed element, with both signs. The restriction as printed cannot describe all signed integer pairs.
Write . The ideals are , and , with residue fields of orders 2, 3 and 3 respectively. Thus their ideal norms are 2, 3 and 3.
The generators of are . They are multiples of 2, and the integer combination of 4 and 10 giving 2 proves . Similarly is generated by . The difference of the middle generators is 6; together with 9 this generates 3. Therefore the product is .
The ideals and are coprime, so their product equals their intersection. The element belongs to both, hence . Both ideals have norm 6, so equality holds. Likewise belongs to and , and its norm is . Thus
The discriminant is 40. The Minkowski bound for ideal classes in a real quadratic field is , so every ideal class has an integral representative of norm 1, 2 or 3. The only possible prime ideals with those norms are the ones just listed. Their classes satisfy and . Thus there are at most two classes. The ideal is not principal, since a generator would have norm , already ruled out. Therefore the class number is exactly two.
Since , the ring of integers is , with field norm . Norms and are impossible: modulo five they would require a square congruent to 2 or 3. An algebraic integer is a unit exactly when its norm is .
If 2 factored into two nonunits, their absolute norms would both be 2, since ; this is impossible. The same argument for excludes a factorization of 3. Finally has norm 6, so a nonunit factorization would require absolute norms 2 and 3, also impossible. Hence 2, 3 and are irreducible. The conjugate is irreducible by the same argument.
The equality gives inequivalent factorizations into irreducibles: no norm-six factor is associated to either 2 or 3, whose norms are 4 and 9. A principal ideal domain is a unique factorization domain. Consequently is not a principal ideal domain.
A canonical transformation preserves the symplectic form and therefore the form of Hamilton's equations for arbitrary Hamiltonians. In one degree of freedom,
Thus the transformation is canonical exactly when . Equivalently the chain rule gives for arbitrary transformed functions, so the bracket and Hamiltonian dynamics are preserved precisely with this factor one. The condition also makes the Jacobian nonzero and hence supplies local invertibility; a global canonical change of variables additionally requires the stipulated global bijectivity on its domain.
For a time-independent function , Hamilton's equations give
Thus a constant of motion has . For and the given Hamiltonian, . Simultaneous translation leaves every difference , and hence , unchanged. Differentiation with respect to gives , so also in this example. This is conservation of total momentum from translational symmetry.
Hamilton's equations generate the phase-space vector field . Its divergence vanishes:
by equality of mixed derivatives. The Jacobian of the flow obeys with . Consequently is preserved for every time on which the smooth flow exists. This proves Liouville theorem in Hamiltonian mechanics directly; explicit time dependence of the Hamiltonian would not change the divergence argument.
Choose a polynomial with , using part (i). For all sufficiently large , its degree is at most , so . Positive weights summing to one give , and . Hence
Since is arbitrary, the quadratures converge to the integral of every continuous . The positivity established in part (ii), not just polynomial exactness on its own, controls the approximation error uniformly in .
For each node define the Lagrange interpolation polynomial
The nodes are distinct, so this is well defined, has degree , and satisfies . Its square has degree , within the assumed exactness range. Therefore
The strict inequality follows because is not the zero polynomial. Exactness for the constant polynomial also gives . Thus the quadrature is a positive weighted average; the requested nonnegativity follows in stronger form.
For fixed , let have the binomial distribution with parameters . The Bernstein polynomial is . Continuity on the compact interval gives uniform continuity and a finite bound .
Given , choose so whenever . Since and , Chebyshev's inequality gives
The bound is independent of , including both endpoints. Taking the supremum and then letting tend to infinity proves uniformly on . This provides the required polynomial-approximation theorem with its proof.
The Runge-Kutta method has and . Solving the stage equations for gives the stability function
For , the denominator roots have positive real parts: real roots are positive from their positive sum and product, while a complex conjugate pair has real part . For its sole root is . Thus there are no poles or singular stage systems in the left half-plane.
Writing , direct expansion gives
This proves the A-stability of a symmetric two-stage implicit Runge-Kutta family:
Apply the numerical method to the test equation and put . Its linear stability domain is the set of for which the computed amplification is stable, for a one-step method with all stage solves well-defined. The method is A-stable if this includes the whole closed left half-plane (or its interior with boundary limits).
Balancing the time derivative, cubic nonlinearity and third spatial derivative gives and . Choose and . Then
Thus the similarity solution is
The extra spherical term changes the coefficient of . This third-order equation cannot be integrated directly into the standard second-order Painlevé II equation of the ordinary modified KdV reduction.
The initial data require , up to a positive constant that cancels from . Substituting this into the heat kernel formula gives the exponent with
Differentiate the kernel integral in and apply the Cole-Hopf transformation. Its constant prefactor cancels, leaving
The choice of adds an irrelevant constant to ; the usual convergence assumptions on the initial data justify the integrals and differentiation.
Set . Direct differentiation gives
Thus the Cole-Hopf transformation maps every nonvanishing solution of the heat equation to a solution of the viscous Burgers equation. Conversely the Burgers equation makes the ratio inside the derivative a function of time alone; a time-dependent rescaling of , which leaves unchanged, removes that function and gives the heat equation exactly.
False. A function of is even in , whereas is odd. If the identity held, replacing by would imply for every , contradicted by . Thus no polynomial of any degree has the required property.
True, with . The hyperbolic cosine identity and the initial values give by mathematical induction, using the same Chebyshev polynomial recurrence.
True. Define the Chebyshev polynomials by , , and . The cosine addition identities give the same recurrence for , so mathematical induction proves . For , the leading coefficient is , proving that its polynomial degree is exactly .

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