Tag Archives: algebra

Subset of elements of finite order of a group

Consider a group G and have a look at the question: is the subset S of elements of finite order a subgroup of G?

The answer is positive when any two elements of S commute. For the proof, consider x,yS of order m,n respectively. Then (xy)mn=xmnymn=(xm)n(yn)m=e where e is the identity element. Hence xy is of finite order (less or equal to mn) and belong to S.

Example of a non abelian group

In that cas, S might not be subgroup of G. Let’s take for G the general linear group over Q (the set of rational numbers) of 2×2 invertible matrices named GL2(Q). The matrices A=(0110), B=(02120) are of order 2. They don’t commute as AB=(12002)(20012)=BA. Finally, AB is of infinite order and therefore doesn’t belong to S proving that S is not a subgroup of G.

Field not algebraic over an intersection but algebraic over each initial field

Let’s describe an example of a field K which is of degree 2 over two distinct subfields M and N respectively, but not algebraic over MN.

Let K=F(x) be the rational function field over a field F of characteristic 0, M=F(x2) and N=F(x2+x). I claim that those fields provide the example we’re looking for.

K is of degree 2 over M and N

The polynomial μM(t)=t2x2 belongs to M[t] and xK is a root of μM. Also, μM is irreducible over M=F(x2). If that wasn’t the case, μM would have a root in F(x2) and there would exist two polynomials p,qF[t] such that p2(x2)=x2q2(x2) which cannot be, as can be seen considering the degrees of the polynomials of left and right hand sides. This proves that [K:M]=2. Considering the polynomial μN(t)=t2t(x2+x), one can prove that we also have [K:N]=2.

We have MN=F

The mapping σM:xx extends uniquely to an F-automorphism of K and the elements of M are fixed under σM. Similarly, the mapping σN:xx1 extends uniquely to an F-automorphism of K and the elements of N are fixed under σN. Also (σNσM)(x)=σN(σM(x))=σN(x)=(x1)=x+1. An element z=p(x)/q(x)MN where p(x),q(x) are coprime polynomials of K=F(x) is fixed under σMσN. Therefore following equality holds p(x)q(x)=z=(σ2σ1)(z)=p(x+1)q(x+1), which is equivalent to p(x)q(x+1)=p(x+1)q(x). By induction, we get for nZ p(x)q(x+n)=p(x+n)q(x). Assume p(x) is not a constant polynomial. Then it has a root α in some finite extension E of F. As p(x),q(x) are coprime polynomials, q(α)0. Consequently p(α+n)=0 for all nZ and the elements α+n are all distinct as the characteristic of F is supposed to be non zero. This implies that p(x) is the zero polynomial, in contradiction with our assumption. Therefore p(x) is a constant polynomial and q(x) also according to a similar proof. Hence z is constant as was supposed to be proven.

Finally, K=F(x) is not algebraic over F=MN as (1,x,x2,,xn,) is independent over the field F which concludes our claims on K,M and N.

Complex matrix without a square root

Consider for n2 the linear space Mn(C) of complex matrices of dimension n×n. Is a matrix TMn(C) always having a square root SMn(C), i.e. a matrix such that S2=T? is the question we deal with.

First, one can note that if T is similar to V with T=P1VP and V has a square root U then T also has a square root as V=U2 implies T=(P1UP)2.

Diagonalizable matrices

Suppose that T is similar to a diagonal matrix D=[d1000d20000dn] Any complex number has two square roots, except 0 which has only one. Therefore, each di has at least one square root di and the matrix D=[d1000d20000dn] is a square root of D. Continue reading Complex matrix without a square root

Additive subgroups of vector spaces

Consider a vector space V over a field F. A subspace WV is an additive subgroup of (V,+). The converse might not be true.

If the characteristic of the field is zero, then a subgroup W of V might not be an additive subgroup. For example R is a vector space over R itself. Q is an additive subgroup of R. However 2=2.1Q proving that Q is not a subspace of R.

Another example is Q which is a vector space over itself. Z is an additive subgroup of Q, which is not a subspace as 12Z.

Yet, an additive subgroup of a vector space over a prime field Fp with p prime is a subspace. To prove it, consider an additive subgroup W of (V,+) and xW. For λF, we can write λ=1++1λ times. Consequently λx=(1++1)x=x++xλ timesW.

Finally an additive subgroup of a vector space over any finite field is not always a subspace. For a counterexample, take the non-prime finite field Fp2 (also named GF(p2)). Fp2 is also a vector space over itself. The prime finite field FpFp2 is an additive subgroup that is not a subspace of Fp2.

Non commutative rings

Let’s recall that a set R equipped with two operations (R,+,) is a ring if and only if (R,+) is an abelian group, multiplication is associative and has a multiplicative identity 1 and multiplication is left and right distributive with respect to addition.

(Z,+,) is a well known infinite ring which is commutative. The rational, real and complex numbers are other infinite commutative rings. Those are in fact fields as every non-zero element have a multiplicative inverse.

For a field F (finite or infinite), the polynomial ring F[X] is another example of infinite commutative ring.

Also for n integer, the integers modulo n is a finite ring that is commutative. Finally, according to Wedderburn theorem every finite division ring is commutative.

So what are examples of non commutative rings? Let’s provide a couple. Continue reading Non commutative rings

A linear map without any minimal polynomial

Given an endomorphism T on a finite-dimensional vector space V over a field F, the minimal polynomial μT of T is well defined as the generator (unique up to units in F) of the ideal:IT={pF[t] ; p(T)=0}.

For infinite-dimensional vector spaces, the minimal polynomial might not be defined. Let’s provide an example.

We take the real polynomials V=R[t] as a real vector space and consider the derivative map D:PP. Let’s prove that D doesn’t have any minimal polynomial. By contradiction, suppose that μD(t)=a0+a1t++antn with an0 is the minimal polynomial of D, which means that for all PR[t] we have a0+a1P++anP(n)=0. Taking for P the polynomial tn we get a0tn+na1tn1++n!an=0, which doesn’t make sense as n!an0, hence a0tn+na1tn1++n!an cannot be the zero polynomial.

We conclude that D doesn’t have any minimal polynomial.

Non linear map preserving Euclidean norm

Let V be a real vector space endowed with an Euclidean norm .

A bijective map T:VV that preserves inner product , is linear. Also, Mazur-Ulam theorem states that an onto map T:VV which is an isometry (T(x)T(y)=xy for all x,yV) and fixes the origin (T(0)=0) is linear.

What about an application that preserves the norm (T(x)=x for all xV)? T might not be linear as we show with following example:T:VVxxif x1xxif x=1

It is clear that T preserves the norm. However T is not linear as soon as V is not the zero vector space. In that case, consider x0 such that x0=1. We have:{T(2x0)=2x0 as 2x0=2whileT(x0)+T(x0)=x0+(x0)=2x0

Non linear map preserving orthogonality

Let V be a real vector space endowed with an inner product ,.

It is known that a bijective map T:VV that preserves the inner product , is linear.

That might not be the case if T is supposed to only preserve orthogonality. Let’s consider for V the real plane R2 and the map T:R2R2(x,y)(x,y)for xy0(x,0)(0,x)(0,y)(y,0)

The restriction of T to the plane less the x-axis and the y-axis is the identity and therefore is bijective on this set. Moreover T is a bijection from the x-axis onto the y-axis, and a bijection from the y-axis onto the x-axis. This proves that T is bijective on the real plane.

T preserves the orthogonality on the plane less x-axis and y-axis as it is the identity there. As T swaps the x-axis and the y-axis, it also preserves orthogonality of the coordinate axes. However, T is not linear as for non zero xy we have: {T[(x,0)+(0,y)]=T[(x,y)]=(x,y)whileT[(x,0)]+T[(0,y)]=(0,x)+(y,0)=(y,x)

A simple ring which is not a division ring

Let’s recall that a simple ring is a non-zero ring that has no two-sided ideal besides the zero ideal and itself. A division ring is a simple ring. Is the converse true? The answer is negative and we provide here a counterexample of a simple ring which is not a division ring.

We prove that for n1 the matrix ring Mn(F) of n×n matrices over a field F is simple. Mn(F) is obviously not a division ring as the matrix with 1 at position (1,1) and 0 elsewhere is not invertible.

Let’s prove first following lemma. Continue reading A simple ring which is not a division ring

Unique factorization domain that is not a Principal ideal domain

In this article, we provide an example of a unique factorization domain – UFD that is not a principal ideal domain – PID. However, it is known that a PID is a UFD.

We take a field F, for example Q, R, Fp (where p is a prime) or whatever more exotic.

The polynomial ring F[X] is a UFD. This follows from the fact that F[X] is a Euclidean domain. It is also known that for a UFD R, R[X] is also a UFD. Therefore the polynomial ring F[X1,X2] in two variables is a UFD as F[X1,X2]=F[X1][X2]. However the ideal I=(X1,X2) is not principal. Let’s prove it by contradiction.

Suppose that (X1,X2)=(P) with PF[X1,X2]. Then there exist two polynomials Q1,Q2F[X1,X2] such that X1=PQ1 and X2=PQ2. As a polynomial in variable X2, the polynomial X1 is having degree 0. Therefore, the degree of P as a polynomial in variable X2 is also equal to 0. By symmetry, we get that the degree of P as a polynomial in variable X1 is equal to 0 too. Which implies that P is an element of the field F and consequently that (X1,X2)=F[X1,X2].

But the equality (X1,X2)=F[X1,X2] is absurd. Indeed, the degree of a polynomial X1T1+X2T2 cannot be equal to 0 for any T1,T2F[X1,X2]. And therefore 1F[X1,X2].