Normal subgroup Created 2026-09-24 Updated 2026-10-14
A subgroup is a normal subgroup when for every . In other words, conjugation by any group element preserves the subgroup as a set, although it may exchange its individual elements. Equivalently, for every : the left and right cosets of agree. Write .
Every subgroup of an abelian group is a normal subgroup, because conjugation fixes each element. Normality can also hold in a nonabelian group: in , the three even permutations form the alternating group , a normal subgroup as the group kernel of the sign of a permutation. Its two cosets separate the even and odd permutations.
In contrast, is a subgroup of but is not a normal subgroup. With function composition of permutations acting rightmost first, choose . Then
which are different cosets. Also , directly contradicting invariance under conjugation. Thus a subgroup alone does not suffice for quotient group multiplication.
Figure 1.
A normal subgroup gives matching left and right cosets, while a nonnormal subgroup can give different ones
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The practical value of normality is coset multiplication is well-defined exactly for normal subgroups. Each coset can act as one element of a quotient group, with results independent of representatives. Conversely every normal subgroup is the group kernel of its quotient map of groups, so normality also identifies which distinctions a group homomorphism can consistently forget.
Operator section 2026-10-31
A partially applied infix operator: (a op) means \x -> a op x, and (op b) means \x -> x op b, subject to Haskell's syntax rules. In particular, (f .) maps a function g to the function composition f . g. Composing such a section with a curried binary function composes at two argument levels: ((f .) . g) x y = f (g x y) on total inputs.[ref]
The dual space consists of the linear functionals on the original vector space, with addition and scalar multiplication defined pointwise:
The dual map acts by function composition with :
For , its value is . The composite is a linear functional because both and are linear maps. Moreover , so the dual map is itself a linear map. Its direction is reversed because a measurement on the output of becomes a measurement on its input.
The dual map acts by function composition:
The composition is a linear functional on , and pointwise operations give . Thus this really is a linear transformation; its direction reverses that of .
The dual space is the vector space of all linear functionals on :
Addition and scalar multiplication are defined pointwise. The dual map sends an output measurement back along :
The function composition of these linear maps is linear, and is linear in . This is the algebraic dual map, so its definition involves no complex conjugation or inner product.
For any , the surjectivity of supplies with . Therefore is a preimage of under , proving surjectivity of .
For the requested counterexample, take , , , and . The function composition is the identity bijection of the singleton, but is not surjective and is not injective.
An injective function satisfies for all . A surjective function satisfies: for every , some has . The following arguments apply to function composition with the stated domains and codomains.
Choose orthonormal coordinates with origin and horizontal axis . The Euclidean reflection and planar rotation have matrices
Their function composition therefore satisfies the composition of a plane rotation and a reflection identity
Conjugating by a planar rotation transports the horizontal reflection axis to the line at angle . Equivalently, the vector is fixed, whereas its perpendicular is sent to . Consequently the fixed line is the line through obtained by rotating through , and is reflection in that line. Angles of an unoriented line are understood modulo , so this description is independent of the representative chosen for modulo .
True. The function composition is an injection: first implies by the injectivity of , then by the injectivity of . Fix one , using the given nonemptiness, and define
The first case is well defined because is an injection. For every , . Thus this left inverse satisfies , the identity function on .
False. Take and , with and . Then is an injection and is a surjection, but the function composition has image of a function , so it is not a surjection onto .
We first prove a compact-square form of the Kolmogorov-Arnold representation theorem, including the construction needed for exact representation. We then remove the compactness restriction; a mere limiting sequence of two-variable approximations would not establish a finite expression using one-variable functions.
There are five pairs of continuous functions with the following grid-separated additive coordinates property. At every arbitrarily small mesh, choose for each a finite family of disjoint closed intervals in each coordinate. Their product rectangles cover every point of the square in at least three families, and the images of different rectangles in family under
are mutually disjoint compact intervals.
Here is a proof of that existence assertion. Work in the complete metric space with its maximum uniform norm. For an integer , let comprise tuples having the preceding property with every interval shorter than . Each is open: fix a witnessing finite collection of rectangles. Their compact image intervals have positive mutual separation within each family, so sufficiently small uniform perturbations of the ten functions preserve separation, while the domain cover is unchanged.
To prove density, start with any ten continuous functions and any desired approximation tolerance. Choose a common grid spacing so fine that all ten have small oscillation over distances , using uniform continuity. For the five families, use grid cuts shifted successively by . Remove tiny open gaps about these cuts, of radius less than . Gaps from different families are disjoint. The complementary components in are closed intervals shorter than . Every coordinate belongs to an interval in at least four families, so a pair of coordinates belongs to product rectangles in at least three common families.
In each family, approximate and by constants on those intervals and interpolate linearly across the gaps. The constants can be chosen arbitrarily close to sampled original values, so the resulting functions approximate the originals uniformly. Perturb the finitely many constants slightly so that all sums for distinct pairs are different. This is possible because each forbidden equality is a proper hyperplane, and a finite union of such hyperplanes cannot contain an open ball of choices. The rectangle images are now distinct singleton sets. Thus is dense. The Baire category theorem gives a tuple in . Fix that tuple once and for all.
Let be a real continuous function on the square and write . If there is nothing to do. Otherwise choose a sufficiently fine witnessing cover that the oscillation of in every rectangle is at most . For each family , define a one-variable continuous function to equal at a chosen sample point of each rectangle, divided by three, throughout that rectangle's image interval. The image intervals are disjoint, so interpolate linearly between them and extend constantly beyond the extreme intervals. Then
At a point , let be the number of families whose rectangles contain that point. In those families the corresponding summand differs from by at most . In the other families its absolute value is at most . Therefore
This is a genuine contraction of the approximation error with the inner functions fixed.
Starting with , repeat the construction and put . Then and . The series
converges uniformly on all of , so each is continuous by the uniform limit theorem. Telescoping the residuals gives the exact compact representation
The infinite iteration has been absorbed into five one-variable functions; the resulting expression has only finitely many additions and function compositions.
For the whole-plane reduction for continuous superposition, let the given function be . Set
This is finite on every bounded interval by compactness. Choose a positive continuous function on by linearly interpolating the values at nonnegative integers. For , monotonicity of the endpoint values gives . Extend constantly to negative arguments. Consequently
Let . Transport to with . Extend the transported function by zero on the boundary of the square. The displayed bound proves continuity at every boundary point, including corners, because approaching the boundary forces at least one original coordinate to tend to infinity. Apply the compact representation to this extension to obtain
Also already uses only one-variable squaring, addition and function composition. Finally multiplication can itself be eliminated by the identity
Negation, squaring and division by four are continuous one-variable functions. Hence the entire expression uses only the permitted one-variable continuous functions and addition, even for an unbounded on .
Can be false. Take and define
Then , so their function composition is the identity function and hence a bijection. However, is not surjective, since zero has no preimage, while is not injective, since .
The valid implications are only that must be injective and must be surjective: equality of two values implies equality after composition, and every output of the composition is an output of . On a finite , either of these properties implies a bijection, so an infinite set is essential to this counterexample.
Always true. If , injectivity of gives , and injectivity of gives . Thus the function composition is injective. For any , since is surjective, choose with . Since is surjective, choose with . Then , proving that the composition is surjective. Consequently is a bijection; its inverse function is .
The Möbius group consists of all Möbius transformations of the Riemann sphere , with operation function composition. A nonzero-determinant matrix represents the map . If , its pole maps to and maps to ; if , the map is affine and fixes . Nonzero scalar multiples of represent the same transformation.
Define by this action for . Substitution of fractional-linear expressions shows , so is a group homomorphism. Any invertible matrix can be rescaled into the special linear group: choose with , which is possible because every nonzero complex number has a square root. This does not change the transformation, proving surjectivity. A transformation represented by is the identity only if fixing , and forces and . The determinant-one condition then gives . Thus
For the fixed-point claim, a nonidentity Möbius transformation has at least one fixed point of a Möbius transformation: when the finite fixed points solve a quadratic, and when infinity is fixed. A quadratic shows there can be no more than two distinct fixed points unless the transformation is the identity. Suppose there is exactly one. Conjugate it to infinity by a Möbius transformation. The resulting map has form , since it fixes infinity. If it also has the finite fixed point , a contradiction. Hence it is with . Its th power is , never the identity for . Conjugation preserves order, so a nonidentity finite-order Möbius transformation has exactly two fixed points.
Now let be a finite abelian subgroup of the Möbius group. First suppose it contains an element of order greater than two. Conjugate the two fixed points of to and , so , with a root of unity of order greater than two. Every element commuting with permutes its fixed-point set, because . A Möbius transformation preserving each of is ; one exchanging them is . In the second case and , so commuting would force , impossible. Thus all elements of are scalings. A finite subgroup of a field multiplicative group is cyclic; here one can see this directly by choosing the least common multiple of all element orders and observing that the scalars lie among the th roots of unity, a cyclic group. Hence is cyclic.
Otherwise every nonidentity element of has order two. If is nontrivial, choose and conjugate it to . The action of on has image of order at most two. Its kernel consists of scalings , and the order-two condition forces , so the kernel has at most two elements. Hence . Orders one and two give cyclic groups; order four with all nonidentity elements involutions gives , generated by any two distinct nonidentity elements. Both possibilities occur: scalings by roots of unity give every finite cyclic group, and gives the Klein four group. The classification is
This can fail. Let and , put , and let . Then the function composition is the identity function on , hence is a surjective function, although is not surjective.
By i and ii,
The domain of a function of is . Its rank-nullity theorem gives . Applying the rank-nullity theorem for now gives
which is exactly the rank-nullity theorem for the function composition .
For a singleton , the symmetric group contains only the identity function. For a two-element set, it contains the identity function and the transposition exchanging the two elements; the latter squares to the identity function. In both cases all elements commute, so the group is Abelian.
If contains three distinct elements , define the transpositions and , fixing every other element of . They are bijections, even when is infinite. With function composition read from right to left,
Thus they do not commute, so the symmetric group is not Abelian. Since is nonempty, this proves
The function composition of two bijections is a bijection, with inverse function . Thus function composition is a binary operation on . It is associative, since both and send to .
The identity function is a bijection and satisfies . Every bijection has an inverse function , itself a bijection, satisfying . These verify all group axioms, so is a group, the symmetric group of .
The shift , , is injective, so . It is not surjective: the least natural number is missing from its image of a function, whether starts at zero or one. For every , the image of a function of is contained in the image of a function of , so .
The identity function belongs to and is its identity element under function composition; any group structure using that operation would have this same identity element. Since has no right inverse element, is not a group under function composition. It is a monoid, since injectivity is preserved by function composition.
An injective function from a finite set to itself is surjective: its image of a function contains as many distinct elements as the entire set, so it cannot omit one. Thus every element of is a bijection, and conversely every bijection is injective. Hence
It is a group under function composition by i.