Coefficient extraction 2026-10-05
Coefficient extraction is the linear operation selecting the coefficient of a specified monomial from a polynomial or Laurent polynomial. Multiplying by the inverse of that monomial reduces the operation to taking a constant term. The coefficient form of the Combinatorial Nullstellensatz expresses certain coefficient extractions as weighted sums of evaluations on a finite product set.
Past exam of the mathematics course of the University of Cambridge 2018 iii Paper 109 4 ii Solution Created 2026-10-03 Updated 2026-10-05
Work in the prime field and set . We will choose , use the other to enumerate , and ensure that the first values of are distinct. The zero-sum condition will then force the last value to be the missing field element.
Consider the polynomialIt has total degree of a polynomial . Its terms of highest total degree form the homogeneous polynomial given by the square of the Vandermonde determinant, . For coefficient extraction we need the coefficient of ; lower-degree terms of cannot contribute to it.
Apply the Dyson constant-term identity from part (i) in variables, with every exponent equal to one. Pairing its factors for givesThe constant term is . Thus the desired coefficient issince none of is zero in the prime field.
For completeness, the coefficient form of the Combinatorial Nullstellensatz, also called the Alon-Tarsi lemma, says that if and each finite set in a field has size , thenTo justify this formula, the univariate Lagrange interpolation polynomial coefficient functional kills powers below and takes the value one on . Apply the product of these functionals to each monomial of . Every monomial of total degree at most other than the target has some exponent below the corresponding , so it is killed. The target survives with coefficient one. In particular, a nonzero target coefficient ensures a point of the product set where is nonzero.
Use and for every . The degree bound holds with equality, so there is with . Its first factors ensure that the are distinct; its second factors ensure that , , are distinct. With , the enumerate the whole prime field.
Let be the unique field element missing from , and write . Since ,The same sum is , hence . Taking completes the enumeration. We have proved zero-sum sequences as differences of permutations of a prime field:No distinctness assumption on the was used. The argument also includes : then , the products defining are empty and equal to one. Keeping explicit avoids assuming that the sum of all field elements is zero, which would fail for .
Past exam of the mathematics course of the University of Cambridge 2018 iii Paper 109 4 i Solution Created 2026-10-03 Updated 2026-10-05
Let denote the constant term, retaining the dimension as a subscript when it changes. We use the Good recurrence for the Dyson constant term. For algebraically independent variables, Lagrange interpolation polynomial applied to the constant polynomial one givesAt , this becomes the rational identityWhen every , multiplying by the given Laurent polynomial cancels one factor in row of the product and givesThis is a polynomial identity after cancellation; no choice of an expansion of a rational function is involved.
The boundary case is essential. If , the factors in row are absent. The only factors involving are then for , and all their powers of are nonpositive. To obtain power zero in , one must select the constant term one from each of them. Taking the constant term in therefore deletes that variable and exponent:For , the empty product is one, so . The all-zero exponent vector also gives one.
Now put , where . This multinomial coefficient obeys the same deletion rule for a zero exponent. For positive exponents,Induction on , and within each dimension on , consequently determines uniquely and identifies it with . This proves the Dyson constant-term identity: