For a nonzero integral ideal of the full ring of integers of a number field of degree two,
Here conjugation is the nonidentity field automorphism and is the additive index of the ideal. A direct proof writes in an integral basis . Put , , . The ideal property gives . Moreover : a prime dividing all three would make an algebraic integer, contradicting its nonintegral coefficient of . The product of with its conjugate contains , so Bezout identity puts in it; all its generators lie in . Scaling back gives , and the lattice determinant identifies . The full ring of integers is essential to the integrality argument.
Coprime polynomials 2026-10-06
Two polynomials over a field are coprime if their only common factors are nonzero constants. Equivalently, their greatest common divisor is a unit in the polynomial ring. In one variable this is equivalent to a Bezout identity with polynomial coefficients. Independent members of a pencil spanned by coprime polynomials are themselves coprime.
A nonzero finitely generated subgroup of the additive rational numbers is an infinite cyclic group. Put the generators over a common positive denominator. Their integer numerators generate the ideal given by their greatest common divisor, and Bezout identity expresses that divisor as an integer combination of them. Dividing back by the denominator gives a single generator.
Write . The second modular congruence becomes . The Bezout identity above says that is the inverse of modulo , so . Therefore
The checks are . The Chinese remainder theorem explains uniqueness modulo , since the moduli are coprime integers.
Use the Euclidean algorithm: , , , and . Back-substitution gives the Bezout identity . Multiplying by gives one solution of the linear Diophantine equation, and shifting the coefficients by multiples of reduces it to
Indeed, . More generally all solutions are , , : subtracting this particular solution gives , and the coprime integers force .
The space of test functions is : its elements are smooth functions with compact support. For a fixed compact set , put and use the seminorms . The space of test functions carries the usual test-function inductive limit topology of these spaces. In particular, a sequence converges precisely when its supports eventually lie in one compact set and every derivative converges uniformly. Thus means that a common contains their supports and for every .
A distribution is a continuous linear functional on this space of test functions, and denotes their space. We use complex-linear, bilinear pairings . Equivalently, for every compact set there are and a nonnegative integer such that
The usual weak convergence of distributions is if for every test function. This specifies the convergence used below; it does not require convergence in any norm.
The distributional derivative is defined by
The derivative map sends continuously to itself, with . The preceding continuity estimate therefore proves that is again a distribution. This definition extends the ordinary derivative of a smooth function, by integration by parts.
Choose the translation of a distribution convention . Its action on a test function is
For fixed , the translated test functions have translated compact support and unchanged derivative sup norms, so this defines a distribution. For the differentiability of distribution translations, apply the Taylor theorem in integral form:
All supports lie in one slightly enlarged compact set for , and the same identity for every derivative proves uniform convergence. The continuity of now gives
The minus sign in the translation parameter is necessary for this convention.
For (a), choose a test function with . If , then is a test function, since the zero integral makes it vanish beyond both ends of the compact support. If , then . Decompose to obtain
Conversely, these constant regular distributions have zero distributional derivative. This also proves the general fact that a distribution with zero derivative is constant.
For (b), choose a cutoff function equal to one near zero. Every test function decomposes as
The quotient extends as a smooth function at zero, and it has compact support. If , the definition of multiplication of a distribution by a smooth function gives . Conversely, . Thus the kernel of multiplication by a coordinate is exactly
In particular, derivatives of the Dirac delta distribution are not additional solutions: .
Now write and , where . The characteristic roots of a constant-coefficient differential equation are the distinct roots of a polynomial of , with multiplicities . The distributional regularity of a constant-coefficient ordinary differential equation can be proved without assuming regularity in advance. Put and . Since the are coprime polynomials, polynomial division and Bezout identity give polynomials such that
For example, invert modulo , sum the resulting expressions, and absorb a remaining multiple of into one coefficient. For , the kernel decomposition for coprime polynomials therefore gives
The Leibniz rule for multiplication of a distribution by a smooth function implies . Repeatedly using a distribution with zero derivative is constant shows that a distribution with th derivative zero is a polynomial of degree at most : subtract the polynomial primitive of its constant st derivative, and induct on . Consequently the most general exponential polynomial solution of a constant-coefficient differential equation is
Every displayed term is annihilated by , so all coefficients are allowed. For the linear independence of these functions, on a relation, apply ; on times a polynomial of degree less than , each remaining factor acts invertibly on that polynomial space. Hence the th polynomial must vanish. Every distributional solution is an analytic function, and in particular a classical solution. For real coefficients and real-valued distributions, take complex conjugate coefficients at conjugate characteristic roots of a constant-coefficient differential equation, or equivalently use the corresponding real sine and cosine forms.
For the last equation, the operator is : the coordinate multiplies the result of differentiation. The kernel of multiplication by a coordinate says precisely that
Choose the retarded fundamental solution of a constant-coefficient ordinary differential operator , where is the Heaviside function and is the analytic solution of with
Such exists uniquely by the elementary initial value problem for a constant-coefficient ordinary differential equation; alternatively the residue construction in the next solution gives it explicitly. The distributional jump formula for a Heaviside product is
It follows by induction from , using integration by parts. With the chosen initial derivatives, every lower-order jump term vanishes and the leading coefficient gives . Subtracting reduces the last equation to the homogeneous one. Thus the coordinate-degenerate constant-coefficient differential equation has exactly the solutions
There are independent constants. For , derivatives through order match at zero, while the derivative of order may jump; for , the function itself may jump. An arbitrary distribution concentrated at zero cannot be added, because its image under the nonzero leading derivative would contain a nonvanishing highest derivative of the Dirac delta distribution.
Choose a positive common denominator so that and with nonzero integers . Put . Every element of the generated subgroup has the form , so it lies in . Conversely, Bezout identity gives integers with , so belongs to the generated subgroup. Consequently
This map is a bijective additive group homomorphism. It is the two-generator instance of a finitely generated subgroup of the rational additive group being an infinite cyclic group.
For the real example, take and . The group homomorphism from onto the generated subgroup is injective because is an irrational number. Thus this subgroup is isomorphic to . More directly, if a single real number generated it, then and for integers , giving , a contradiction. The choice generates a noncyclic additive subgroup.