Finite multiplicative subgroup of a field is cyclic Created 2026-09-24 Updated 2026-09-24
Every finite subgroup of the multiplicative group of a field is cyclic. If is the exponent of , commutativity lets one combine elements whose orders realize the prime-power factors of , producing an element of order . Every element of is a root of , so the Lagrange root bound over a field gives . Since , equality holds and that element generates .
Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 147 1 iii Solution 2026-10-03
We prove the polynomial nonvanishing below the field size by mathematical induction on . The case is the Lagrange root bound over a field: a nonzero polynomial of degree below cannot have all elements of as roots.
For the induction step, suppose that vanishes on all of and writeThe upper limit is valid because the total degree of a polynomial is less than . Fixing the first variables produces a univariate polynomial of degree below which vanishes at every . It is therefore the zero polynomial, so every vanishes on all of . Each also has total degree below , and the induction hypothesis gives for every . Thus .
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 2 1G Solution Created 2026-09-23 Updated 2026-10-03
The Lagrange root bound over a field says that a nonzero polynomial of degree over a field has at most roots. In particular, a polynomial modular congruence of degree modulo a prime number has at most incongruent solutions unless all its coefficients vanish modulo that prime.
Suppose that is good and that the positive integer divisor divides . The roots of form a finite multiplicative subgroup of . By the fact that every finite multiplicative subgroup of a field is cyclic, is a cyclic group of order . The solutions in of areso there are at least of them. The Lagrange root bound over a field gives at most roots in all of , hence exactly . Thus every divisor of a good number is good.
Now put . By the Chinese remainder theorem for unit groups, a base is a Fermat-pseudoprime base precisely when its two components satisfyThe power roots in a finite field andshow that each component has ten choices. Therefore there areFermat-pseudoprime bases.
To impose the strong pseudoprime condition, write with odd. Since , we have . In each cyclic group of ten Fermat components, raising to the th power sends five elements to and five elements to . A pair of components passes the strong test exactly when their signs agree: the pair satisfies the first alternative, and satisfies the second at . Components of opposite sign become after squaring and can never jointly equal . Hence the number of strong-pseudoprime bases is
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 3 18I a Solution Created 2026-09-24 Updated 2026-09-25
Let be a finite subgroup of and let be its exponent of a finite group. A finite abelian group contains an element whose order is its exponent: combine elements of maximal prime-power order across the primary components. Hence .
Every satisfies , so all elements are roots in the field of the nonzero polynomial . The Lagrange root bound over a field gives . Therefore , and the element of order generates . This proves that a finite subgroup of a field multiplicative group is cyclic.
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 4 12F c Solution Created 2026-09-24 Updated 2026-09-25
The Chebyshev alternation theorem says that a polynomial of degree at most is a best uniform approximation to if and only if there are pointsand a sign for whichThis is the equiripple criterion.
To prove sufficiency, put and suppose that another polynomial of degree at most satisfies . At every , the difference must have the same sign as ; hence its signs alternate at the ordered points. The intermediate value theorem then gives at least one distinct root of in every interval , for at least roots in all. The Lagrange root bound over a field forces the nonzero polynomial to have degree at least , contradicting . Therefore no gives a smaller error, and is best.