Reciprocal roots require , equivalently every original root is nonzero. Their monic polynomial is the normalized reciprocal polynomialIf , at least one reciprocal in the source is undefined, so that part has no polynomial interpretation without the nonzero-root qualification.
Scaling every root scales its elementary symmetric polynomials by the corresponding powers of . Therefore the monic polynomial isThis remains valid for , when all three roots are zero; deriving it by symmetric coefficients avoids dividing by .
For the distinct complex embeddings of the number field, define the discriminant of elements of a number field byThe equality follows by multiplying the transpose of the embedding matrix by itself. Each field trace is rational: it is also the trace of the rational matrix of multiplication by on . Thus the determinant lies in . If the are algebraic integers, the products and their conjugates are algebraic integers, and so are their sums. A rational algebraic integer is an integer, hence all trace entries and their determinant are integers.
Write . The inclusion of the generated abelian groups makes an integer matrix. Its embedding matrix is the embedding matrix of the multiplied by . Taking squared determinants givesFor independent algebraic integers , choose an integral basis of . The same formula gives . If is nonzero and a square-free integer, the integer index must be one, proving that the form an integral basis.
Now put . Since has degree three, the monic polynomialis its minimal polynomial of an algebraic element. The field norm is the negative of its constant term:For the discriminant calculation, . In the basis , using , multiplication by this element has matrixThus the given derivative-norm formula gives . Since satisfies a monic polynomial with integer coefficients, are algebraic integers; the fact that a squarefree discriminant certifies an integral basis proves
First prove the finite-module criterion for integrality in a slightly stronger form, for any nonzero finitely generated -submodule stable under multiplication by . Choose generators and write with integer coefficients. Multiply the vector equation by its adjugate matrix. This gives for every generator. Some generator is nonzero and is a field, so . The polynomial is monic with integer coefficients, proving integrality of . This implication needs no prior closure theorem for .
Conversely, if satisfies a monic polynomial of degree , then is generated by and is stable under . Every also maps into itself because it is an integer polynomial in ; the finite-module criterion for integrality just proved makes every such integral. Thus this really lies in , proving the stated equivalence without circularity.
For two integral elements , the module spanned by for , contains one, is finitely generated, and is stable under both elements by their monic equations. It is therefore stable under and . The finite-module criterion for integrality proves that both are integral. Negatives follow by replacing a multiplication matrix by its negative, and are integral. Hence .
The integral basis of the cubic field of discriminant minus 140 can be obtained as follows. For the specified field, Eisenstein at two makes irreducible, and is integral because the polynomial is monic. The discriminant of a monic cubic is , soHere is the printed notation for the signed discriminant, namely the square of a Vandermonde product of the conjugates; that product need not be real.
Suppose is integral with the prescribed binary coefficients. The root traces give , , . Thus must be an integer, forcing . If , nonzeroness of the coefficient triple forces , giving . If , multiply by and use :Closure of the ring then again gives .
But , so the field norm of is . The field norm of an algebraic integer is an integer, proving . Dividing the defining cubic by gives . Thus cannot be integral either.
Finally the discriminant-index formula for an integral lattice says . The square of the integer index divides , so its only possibilities are one and four, giving index one or two. If the index were two, a nonzero coset would supply an integral element after reducing coefficients modulo two, with a nonzero binary triple. The preceding argument would force the impossible integrality of . Hence
Assume and set , a monic polynomial of polynomial degree . Fix distinct from all the interpolation nodes, and chooseThe auxiliary functionvanishes at the distinct points . Order those points and repeatedly apply Rolle's theorem. After applications, there is some strictly between their smallest and largest values, hence in , such that .
Because has polynomial degree at most and is monic of polynomial degree ,Substituting the resulting value of proves the polynomial interpolation error formulaAt an interpolation node, both sides are zero, so any works. Such an interior point exists because and the interpolation nodes are distinct. The selected generally depends on ; the theorem makes an existence assertion, not a regularity assertion about that dependence.
The monomial lies in and already fits the data. Uniqueness of polynomial interpolation therefore givesApply this result with a nonnegative integer . Its Lagrange interpolation representation is the polynomial identityThe numerator in each summand is a monic polynomial of degree , so the coefficient of on the right is exactly . The coefficient on the left is zero for and one for . Comparing coefficients proves the Lagrange leading-coefficient identityThe intended exponent range is : arbitrary negative exponents would not give this polynomial identity. For , denotes the value of the constant polynomial , including at a zero interpolation node.
Clearing the denominators in the rational interpolation conditions givesThese are linear equations for unknowns. The th row of the coefficient matrix, in the order , isThis rational interpolation linearization is equivalent to the original fraction conditions only if at every interpolation node. If , the cleared equation merely forces , leaving the fraction undefined.
For , the coefficient row becomesThis is the Vandermonde matrix, whose determinant is . Equivalently, a vector in its null space would define a degree-at-most- polynomial vanishing at all distinct interpolation nodes, which is zero by the preceding uniqueness proof. Thus the cleared linear system has exactly one solution.
There is also a constructive description of that solution. Define the monic polynomialThe polynomial is monic of degree and vanishes at every interpolation node. It must therefore equal . By polynomial division, write uniquelyThe quotient is monic of degree , andis the unique coefficient solution. This does not assert that is nonzero at every interpolation node.
For a counterexample with , , choose and the specified data , so . The cleared equations reduce togiving the unique solution , . But at the quotient is . Indeed, any genuine rational interpolant of this prescribed form would need ; then forces the constant numerator to be zero. At a nonzero denominator its value at would also be zero, never one. Cancelling the common factor in the cleared candidate would merely give the identically zero rational function, which still fails the data. Hence
An element is algebraic over when some nonzero polynomial in vanishes at it. Its minimal polynomial is the monic polynomial of least positive degree with this property; scaling a least-degree nonzero vanishing polynomial makes it monic.
If are two such polynomials, they have the same least degree. Their difference has smaller degree because both are monic, and it also vanishes at . Minimality forces the difference to be zero. Hence the monic minimal polynomial is unique.
Past exam of the random matrix theory course of the University of Oxford 2025 2 a ii Solution 2026-10-25
Use the inner product for a standard normal random variable . The degree-zero monic polynomial is . Write and . The conditionsuse and . Hence these first three Probabilists' Hermite polynomials areThe Gaussian fourth moment is , so their squared norms are
The three answers, in the given order, are no, yes, yes.
For , consider the ideal . Its members have even constant coefficient, so and the ideal is proper. If , then divides the constant , forcing to be constant by additivity of polynomial degree in this integral domain. Since also divides , it must divide the coefficient , giving . That would make the whole ring, a contradiction. Thus is not a principal ideal domain, and part (a) shows it cannot be a Euclidean domain. This is the nonprincipal ideal generated by a prime and an indeterminate obstruction.
Evaluation at gives the ring isomorphismIndeed, division by the monic polynomial leaves a unique remainder , and its value is zero only when both integer coefficients vanish. Thus the quotient maps bijectively, with operations preserved, onto the Gaussian integers. These form a Euclidean domain for the Gaussian integer norm , a standard Euclidean example allowed in this part. Geometrically, rounding the real and imaginary coordinates gives a quotient error with squared modulus at most .
Finally,via . Every polynomial over occurs. The kernel consists exactly of polynomials whose -independent part has even coefficients: write to see that this is precisely . Hence the induced quotient map is a bijective ring homomorphism. Its target is a Euclidean domain with Euclidean function : a polynomial ring over a field is Euclidean by the division algorithm in part (a).
Past exam of the rings and modules course of the University of Oxford 2021 1 a ii Solution 2026-10-25
Regard as the polynomial ring . The coefficient ring is a Euclidean domain, hence a principal ideal domain. The element is a prime element: the quotient ring is an integral domain.
The monic polynomial has its other coefficients divisible by , while . Part (a)(i), with playing the role of and the indeterminate, proves that is an irreducible polynomial.
Now use the automorphism of a polynomial ringIts inverse fixes and sends to . A ring isomorphism preserves units and factorizations, hence preserves irreducible elements. Sincewe obtainApplying the Eisenstein criterion directly to the second expression with the prime element would fail, since ; the change of indeterminate supplies the required argument.
Past exam of the rings and modules course of the University of Oxford 2021 1 a i Solution 2026-10-25
We prove the stated Eisenstein criterion directly. Assume . Suppose in the polynomial ring . Since the principal ideal domain is an integral domain, polynomial degree is additive under polynomial multiplication, and the product of the leading coefficients of is the leading coefficient of . These two coefficients are therefore units. Multiplying and by inverse units, without changing their product, makes both factors monic polynomials.
If either factor is a constant polynomial, that factor is now , so the original factor was a unit. It remains to rule out and .
The prime element generates a maximal ideal in the principal ideal domain . Indeed, if , then , and the irreducible element property of forces either or . Consequently is a field. Apply reduction modulo an ideal to every coefficient. The monic polynomial factors retain their polynomial degrees, and the hypotheses giveThe polynomial ring over a field is a unique factorization domain, and is an irreducible polynomial. Thus its only monic polynomial divisors in are powers of . Hence and . Both have zero constant term, so and . This gives , a contradiction.
The monic polynomial has positive polynomial degree, so it is a nonzero nonunit. Every factorization therefore has a unit factor, proving
Past exam of the rings and modules course of the University of Oxford 2023 1 c ii Solution 2026-10-25
Using the assumed square-free polynomial property, factorinto distinct monic polynomials that are irreducible polynomials, with . Part (b)(iii) identifies with , where .
By the first isomorphism theorem for rings, the image from part (c)(i) is , where is the kernel of a ring homomorphism. By part (a)(ii), for ideals . A field has only the zero ideal and the whole field as ideals, so each is either or the zero ring. Consequently, for a subset ,This is the quotient of a finite product of fields principle. The subset is nonempty because , whereas the zero ring has only one unit. By part (a)(i),Each factor is a positive integer. Since is a prime number, exactly one factor is and all remaining factors are one. Thusso is a Mersenne prime. If with , then would be a proper divisor of ; thus is itself a prime number, although only the displayed form is needed.
The assumed square-free polynomial property can also be checked directly: in characteristic of a ring two, the formal derivative of is because is odd. These two polynomials have greatest common divisor one, since does not divide , so no repeated irreducible polynomial factor occurs.
Past exam of the rings and modules course of the University of Oxford 2023 3 a i Solution 2026-10-25
Since , its minimal polynomial divides . The polynomial is an irreducible polynomial over the rational numbers: a reducible quadratic would have a rational root, whereas for every .
Because , the constant polynomial one evaluates to the nonzero identity matrix , so . Both and are monic polynomials; hence the only remaining divisor is
Polynomial division Created 2026-09-24 Updated 2026-10-18
Polynomial division separates a polynomial into a multiple of a chosen divisor and a smaller polynomial remainder. Given over a field , with , there are unique polynomials satisfyingHere is the polynomial quotient. The bound concerns polynomial degree, rather than the sizes of the coefficients.[ref]
Fields and Galois Theory by James S. Milne. Fields and Galois Theory, version 5.10, Chapter 1, p. 10, §1.6: division algorithm, zero remainder alternative and uniqueness
For an original example over the rational numbers, takePolynomial long division first cancels by subtracting :Subtracting one more copy of cancels :ThusThe final polynomial remainder has polynomial degree one, below the divisor's polynomial degree two. Multiplying out the last identity checks every coefficient, including the constant term .
The polynomial degree bound makes this decomposition useful: it replaces a potentially long polynomial with a short polynomial remainder whenever multiples of can be discarded. At any root of a polynomial of , those multiples vanish under polynomial evaluation. Repeated polynomial division also drives the Euclidean algorithm for finding a greatest common divisor of polynomials.
The coefficient setting matters. Over a commutative ring, the same existence and uniqueness hold when the divisor's leading coefficient is a unit in a ring. A monic polynomial therefore works over the integers, even though they do not form a field; monic polynomial division over a ring explains why zero divisors cause no difficulty in that case.[ref]
Chapter 3 Ring theory. Abstract Algebra, Chapter 3 Ring theory, §3.9, Theorem 3.9.1: division with a unit leading coefficient
A nonzero divisor alone is insufficient over the integers. Dividing by with an integer polynomial quotient and a constant polynomial remainder would require for an integer , which is impossible. Over the rational numbers the division instead givesThe obstruction is the nonunit leading coefficient . This example separates existence from uniqueness: over an integral domain, the polynomial degree argument still makes any admissible pair unique, if it exists.
Polynomial reduction of matrix powers 2026-10-18
By polynomial division, write with . Because is a monic polynomial, this division works even over a commutative ring. Evaluating at makes the multiple of vanish, leaving . This explains the reduction in two-coefficient reduction of matrix powers without multiplying out every intermediate matrix.
Over a field, the minimal polynomial divides and gives the strongest such universal reduction: use the polynomial remainder modulo instead. For the scalar matrix , the characteristic polynomial is , while the minimal polynomial is only . Every matrix power is then a scalar multiple of .
Polynomial remainder theorem 2026-10-18
Dividing a polynomial by leaves the constant polynomial remainder . Polynomial division makes the polynomial remainder constant because its polynomial degree must be below one; polynomial evaluation at identifies that constant. In particular, it is zero exactly when is a root of a polynomial of , which is the factor theorem.[ref]
Fields and Galois Theory by James S. Milne. Fields and Galois Theory, version 5.10, Chapter 1, p. 10, §1.7: division by X−a and evaluation of the constant remainder
In the worked example, division by leaves and division by leaves . Division by their product leaves , a polynomial remainder that stores both values at once. The argument also holds over a commutative ring for in that ring, because is a monic polynomial.
Primary decomposition theorem for linear maps Created 2026-10-25 Updated 2026-10-31
For a linear map on a finite-dimensional vector space over a field , factor its minimal polynomial as with distinct monic polynomials that are irreducible polynomials. ThenEach is an invariant subspace, since commutes with every polynomial in . These are canonical vector subspaces, determined by , without requiring any eigenvalues in .
For a proof, put and . The coprime polynomials admit a Bézout's identity for polynomials . Set . Its image is contained in because . The polynomial is divisible by every , hence by their product, so . On , ; on with , because divides . These facts prove the direct sum and identify as its projection operators. Finally, if the minimal polynomial of any restriction had a smaller exponent, would annihilate every summand and hence all of , a contradiction.
Primitive polynomial over a finite field 2026-10-14
A monic polynomial of degree over that is an irreducible polynomial is primitive in the finite-field sense when one of its roots generates the multiplicative group of a finite field . All its roots are Frobenius conjugates and then have the same order . This notion differs from a primitive polynomial over an integral domain, which concerns the common divisor of its coefficients. Primitive finite-field polynomials provide explicit field representations and primitive cyclic Reed-Solomon codes or BCH codes.
Rational interpolation 2026-10-25
Rational interpolation seeks a rational function with prescribed bounds on the polynomial degrees of its numerator and denominator and prescribed values at distinct interpolation nodes. A rational interpolant must have a well-defined value at each interpolation node. With a specified numerator-denominator representation, this requires for every . A normalization such as a monic polynomial denominator removes the common scaling freedom but does not guarantee existence or uniqueness. Multiplying by a zero denominator can create spurious solutions to the rational interpolation linearization.
