If generate the module , define the R-module homomorphism
This is a surjection by the definition of generation. Conversely, an R-module homomorphism that is a surjection sends the standard basis vectors of the free module to a generating family, since every vector in is their linear combination. Thus
This is the finite generation as a quotient of a finite free module criterion. The zero module causes no exception: it is generated by the empty family, or by one zero element.
For the requested example, take , with the usual integer scalar action. Reducing both coordinates modulo two gives an R-module homomorphism that is a surjection with nonzero kernel , so it is not an isomorphism. Every image of is a cyclic module, whereas every element of has additive order at most two and has four elements. Hence admits no such surjection from .
Let be the distinct interior roots of where its sign changes, and put . If , orthogonality gives . But has constant sign on , apart from its isolated zeros, because every sign change has been canceled. It is not identically zero, and the positive weight makes its integral nonzero, a contradiction. Thus . Degree forces exactly distinct simple roots, all inside .
For distinct nodes, let . Lagrange interpolation polynomial gives for every polynomial of degree at most . Integrating this identity proves exactness with .
For the Gaussian quadrature nodes, divide any as , with . The integral of vanishes by orthogonality, and its nodal values vanish because . The remaining polynomial is integrated exactly by the preceding interpolation result. Hence
Its weights are positive: exactness applied to gives .
Define the error functional . It annihilates polynomials of degree at most . For , the Peano kernel theorem gives
where a formal Peano kernel with the normalization made explicit is
No evaluation of is needed. The supplied inner product presupposes an integrable positive weight on the finite interval, so the integral and point-evaluation error functional is bounded on continuous functions.
For constant-density incompressible inviscid flow with conservative body force, Euler equations for an inviscid fluid give . Using , take the curl to obtain . Since both divergences vanish, the vector identity expands this to
Without incompressibility or the constant-density/barotropic hypothesis, extra compression or baroclinic terms are present; the printed equation uses these flow assumptions.
Let , with . Axisymmetric mass conservation is . If is independent of , then is affine in . The impermeable moving-plate conditions force , and integrating the radial equation gives . Regularity at the axis excludes . The meridional part of the axisymmetric inviscid flow between moving parallel plates is therefore
For no swirl, completes the field. Continuity alone does not determine azimuthal motion; this must be specified separately. More generally, prescribe a smooth regular initial profile independent of . The azimuthal part of Euler equations for an inviscid fluid is
so conservation of along radial particle paths gives , where . Together with the meridional components above, this gives a family of complete fields, with a suitable pressure determined by the radial and vertical equations. The field is therefore not unique without rotational data.
With the stated solid-body rotation, and . The vorticity equation gives , hence
For a fluid particle, , so is constant and is constant. This is conservation of angular momentum about the axis: radial spreading when the plates approach decreases the angular velocity. The meridional and rotating fields satisfy the inviscid equations with an appropriate pressure; no tangential no-slip condition is imposed on inviscid plates.
Interpret the three conditions at zero as an initial-value problem on , with interior source . A causal Green function satisfies and vanishes for . Since the leading coefficient of the third derivative is one, the jump conditions for a third-order Green function require and continuous and to jump by one. For , the homogeneous roots are . Solving , yields
For it vanishes near zero, so all three initial boundary conditions hold. The matching conditions ensure that supplies precisely a Dirac delta, without unwanted delta derivatives.
The homogeneous solution carrying the nonzero initial data is . The Green-function representation therefore gives
For the integral vanishes. For , set and integrate to obtain . Thus
The bracket and its first two derivatives vanish at , so match continuously there; its third derivative jumps by the stated forcing. The value assigned to is immaterial. The source at the initial endpoint would need a separate endpoint-delta convention, which is not used in this integral.
Fix . The Cauchy integral formula and the uniformly convergent geometric series on give
Defining
the remainder after degree has modulus at most , which tends to zero uniformly on each smaller disk. Differentiating the integral formula at zero identifies , independently of . Since is an entire function, can be chosen larger than any given , proving the global Taylor series.
For the requested radius , the same coefficient integral gives the Cauchy estimate
To characterize equality in the Cauchy coefficient estimate, parametrize its circle:
If , the identity theorem gives . Otherwise equality in the modulus bound requires the continuous integrand to have both constant modulus and constant complex argument. To see this directly, rotate its average to the positive real axis: its real part is bounded above by , and equality of its average with forces that real part to equal everywhere. Thus on the circle. The identity theorem extends that equality to the plane. Conversely every such monomial attains the bound. Therefore
including the zero function and, when , arbitrary constant functions.
A contraction mapping satisfies for all , with one fixed . The contraction mapping theorem states that such a map on a nonempty complete metric space has a unique fixed point and that every sequence of iterates converges to it.
Choose and put . Iteration gives , so for ,
Thus the iterates form a Cauchy sequence and converge by completeness to . The Lipschitz bound gives continuity of , hence . Two fixed points satisfy , forcing equality of the points. Passing also gives the usual geometric error estimate. For , convergence occurs after one application.
If is a contraction mapping, let be its unique fixed point. The commutation identity gives , so uniqueness implies . Any fixed point of is a fixed point of , giving uniqueness, without even assuming continuous. On the complete discrete metric space , the map , has constant second iterate but is not a contraction: .
For the specified function, on because it starts at zero and has derivative . Therefore maps the complete half-line into itself. Its derivative satisfies
The mean value theorem therefore makes it a contraction of constant at most . Hence
Associate to the symmetric bilinear form . If is identically zero, every basis is diagonal. Otherwise choose with . Every has the decomposition
whose second term lies in . Thus , with no cross term in . Induction on dimension gives a diagonal basis. Rescaling its nonzero entries reduces the form to
with additional zero coordinates. Define the rank of a quadratic form and its signature . Rank is intrinsic, since it is the rank of , equivalently . Also is the greatest dimension of a subspace on which the restriction of is a positive-definite quadratic form: any such subspace intersects the negative-plus-zero coordinate space only at zero, so its dimension is at most , while the positive coordinate space attains . The corresponding negative statement identifies . This proves the basis independence of and , the Sylvester's law of inertia conclusion.
For a totally isotropic subspace on which vanishes, polarization identity also makes vanish on . Quotient by the radical of a bilinear form. In the resulting nondegenerate form, projection of an isotropic subspace to either the positive or negative coordinate space is injective, so its dimension is at most . Consequently . The radical of a bilinear form together with the vectors , , attains this bound. The maximum dimension of a totally isotropic subspace is therefore
The criterion for membership in a diagonal basis follows similarly: a nonzero vector can belong to a diagonal basis if it has nonzero quadratic value, by the same orthogonal splitting, or if it lies in the radical of a bilinear form, by choosing a radical basis containing it. An isotropic vector in a diagonal basis must be orthogonal to every basis vector, and hence must lie in that radical. For the specified form, its radical is the -axis, giving exactly
The zero vector never belongs to a basis.

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