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Isomorphism
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Fifth roots of unity
Rotations of a pentagon
The group of fifth roots of unity under multiplication is isomorphic to the group of rotations of the regular pentagon under composition.

In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between them, and this is often denoted as . The word is derived from Ancient Greek ἴσος (isos) 'equal' and μορφή (morphe) 'form, shape'.

The interest in isomorphisms lies in the fact that two isomorphic objects have the same properties (excluding further information such as additional structure or names of objects). Thus isomorphic structures cannot be distinguished from the point of view of structure only, and may often be identified. In mathematical jargon, one says that two objects are the same up to an isomorphism. A common example where isomorphic structures cannot be identified is when the structures are substructures of a larger one. For example, all subspaces of dimension one of a vector space are isomorphic and cannot be identified.

An automorphism is an isomorphism from a structure to itself. An isomorphism between two structures is a canonical isomorphism (a canonical map that is an isomorphism) if there is only one isomorphism between the two structures (as is the case for solutions of a universal property), or if the isomorphism is much more natural (in some sense) than other isomorphisms. For example, for every prime number p, all fields with p elements are canonically isomorphic, with a unique isomorphism. The isomorphism theorems provide canonical isomorphisms that are not unique.

The term isomorphism is mainly used for algebraic structures and categories. In the case of algebraic structures, mappings are called homomorphisms, and a homomorphism is an isomorphism if and only if it is bijective.

In various areas of mathematics, isomorphisms have received specialized names, depending on the type of structure under consideration. For example:

Category theory, which can be viewed as a formalization of the concept of mapping between structures, provides a language that may be used to unify the approach to these different aspects of the basic idea.

Examples

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Logarithm and exponential

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Let be the multiplicative group of positive real numbers, and let be the additive group of real numbers.

The logarithm function satisfies for all so it is a group homomorphism. The exponential function satisfies for all so it too is a homomorphism.

The identities and show that and are inverses of each other. So, are group isomorphisms that are inverse of each other.

The function is an isomorphism which translates multiplication of positive real numbers into addition of real numbers. This facility makes it possible to multiply real numbers using a ruler and a table of logarithms, or using a slide rule with a logarithmic scale.

Integers modulo 6

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Consider the ring of the integers from 0 to 5 with addition and multiplication modulo 6. Also consider the ring of the ordered pairs where the first element is an integer modulo 2 and the second element is an integer modulo 3, with component-wise addition and multiplication modulo 2 and 3.

These rings are isomorphic under the following map: or in general

For example, which translates in the other system as

This is a special case of the Chinese remainder theorem which asserts that, if and are coprime integers, the ring of the integeers modulo is isomorphic to the direct product of the integers modulo and the integers modulo .

Relation-preserving isomorphism

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If one object consists of a set X with a binary relation R and the other object consists of a set Y with a binary relation S then an isomorphism from X to Y is a bijective function such that:[1]

S is reflexive, irreflexive, symmetric, antisymmetric, asymmetric, transitive, total, trichotomous, a partial order, total order, well-order, strict weak order, total preorder (weak order), an equivalence relation, or a relation with any other special properties, if and only if R is.

For example, R is an ordering ≤ and S an ordering then an isomorphism from X to Y is a bijective function such that Such an isomorphism is called an order isomorphism or (less commonly) an isotone isomorphism.

If then this is a relation-preserving automorphism.

Applications

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In algebra, isomorphisms are defined for all algebraic structures. Some are more specifically studied; for example:

Just as the automorphisms of an algebraic structure form a group, the isomorphisms between two algebras sharing a common structure form a heap. Letting a particular isomorphism identify the two structures turns this heap into a group.

In mathematical analysis, the Laplace transform is an isomorphism mapping hard differential equations into easier algebraic equations.

In graph theory, an isomorphism between two graphs G and H is a bijective map f from the vertices of G to the vertices of H that preserves the "edge structure" in the sense that there is an edge from vertex u to vertex v in G if and only if there is an edge from to in H. See graph isomorphism.

In order theory, an isomorphism between two partially ordered sets P and Q is a bijective map from P to Q that preserves the order structure in the sense that for any elements and of P we have less than in P if and only if is less than in Q. As an example, the set {1,2,3,6} of whole numbers ordered by the is-a-factor-of relation is isomorphic to the set {O, A, B, AB} of blood types ordered by the can-donate-to relation. See order isomorphism.

In mathematical analysis, an isomorphism between two Hilbert spaces is a bijection preserving addition, scalar multiplication, and inner product.

In early theories of logical atomism, the formal relationship between facts and true propositions was theorized by Bertrand Russell and Ludwig Wittgenstein to be isomorphic. An example of this line of thinking can be found in Russell's Introduction to Mathematical Philosophy.

In cybernetics, the good regulator theorem or Conant–Ashby theorem is stated as "Every good regulator of a system must be a model of that system". Whether regulated or self-regulating, an isomorphism is required between the regulator and processing parts of the system.

Category theoretic view

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In category theory, given a category C, an isomorphism is a morphism that has an inverse morphism that is, and

Two categories C and D are isomorphic if there exist functors and which are mutually inverse to each other, that is, (the identity functor on D) and (the identity functor on C).

Isomorphism vs. bijective morphism

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In a concrete category (roughly, a category whose objects are sets (perhaps with extra structure) and whose morphisms are structure-preserving functions), such as the category of topological spaces or categories of algebraic objects (like the category of groups, the category of rings, and the category of modules), an isomorphism must be bijective on the underlying sets. In algebraic categories (specifically, categories of varieties in the sense of universal algebra), an isomorphism is the same as a homomorphism which is bijective on underlying sets. However, there are concrete categories in which bijective morphisms are not necessarily isomorphisms (such as the category of topological spaces).

Isomorphism class

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Since a composition of isomorphisms is an isomorphism, the identity is an isomorphism, and the inverse of an isomorphism is an isomorphism, the relation that two mathematical objects are isomorphic is an equivalence relation. An equivalence class given by isomorphisms is commonly called an isomorphism class.[2]

Examples

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Examples of isomorphism classes are plentiful in mathematics.

However, there are circumstances in which the isomorphism class of an object conceals vital information about it.

  • Given a mathematical structure, it is common that two substructures belong to the same isomorphism class. However, the way they are included in the whole structure can not be studied if they are identified. For example, in a finite-dimensional vector space, all subspaces of the same dimension are isomorphic, but must be distinguished to consider their intersection, sum, etc.
  • In homotopy theory, the fundamental group of a space at a point , though technically denoted to emphasize the dependence on the base point, is often written lazily as simply if is path connected. The reason for this is that the existence of a path between two points allows one to identify loops at one with loops at the other; however, unless is abelian this isomorphism is non-unique. Furthermore, the classification of covering spaces makes strict reference to particular subgroups of , specifically distinguishing between isomorphic but conjugate subgroups, and therefore amalgamating the elements of an isomorphism class into a single featureless object seriously decreases the level of detail provided by the theory.

Relation to equality

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Although there are cases where isomorphic objects can be considered equal, one must distinguish equality and isomorphism.[3] Equality is when two objects are the same, and therefore everything that is true about one object is true about the other. On the other hand, isomorphisms are related to some structure, and two isomorphic objects share only the properties that are related to this structure.

For example, the sets are equal; they are merely different representations—the first an intensional one (in set builder notation), and the second extensional (by explicit enumeration)—of the same subset of the integers. By contrast, the sets and are not equal since they do not have the same elements. They are isomorphic as sets, but there are many choices (in fact 6) of an isomorphism between them: one isomorphism is

while another is

and no one isomorphism is intrinsically better than any other.[note 1]

Also, integers and even numbers are isomorphic as ordered sets and abelian groups (for addition), but cannot be considered equal sets, since one is a proper subset of the other.

On the other hand, when sets (or other mathematical objects) are specified only by their properties, without considering the nature of their elements, one often considers them to be equal. This is generally the case with solutions of universal properties. For examples, the polynomial rings , and are considered as equal, since they have the same universal property.

For example, the rational numbers are formally defined as equivalence classes of pairs of integers, although nobody thinks of a rational number as a set (equivalence class). The universal property of the rational numbers is essentially that they form a field that contains the integers and does not contain any proper subfield. Given two fields with these properties, there is a unique field isomorphism between them. This allows identifying these two fields, since every property of one of them can be transferred to the other through the isomorphism. The real numbers that can be expressed as a quotient of integers form the smallest subfield of the reals. There is thus a unique isomorphism from this subfield of the reals to the rational numbers defined by equivalence classes. So, the rational numbers may be identified to the elements of a subset of the real numbers. However, in some contexts this identification is not allowed. For example, in computer languages and type theory, real numbers and rational numbers have different representations, and the identification must be replaced with a type conversion.

See also

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Notes

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In , an isomorphism is a structure-preserving mapping between two structures of the same type that can be reversed by an inverse mapping. The term derives from roots isos, meaning "equal," and morphe, meaning "form," signifying that the structures possess identical intrinsic properties apart from their specific labeling or presentation. Two structures are deemed isomorphic if such a mapping exists, establishing their essential equivalence in a precise mathematical sense. Isomorphisms play a foundational role in , where they enable the classification of algebraic objects up to structural similarity. For groups, an isomorphism is defined as a bijective that preserves the group operation, effectively serving as a relabeling that translates elements and their combinations without altering the underlying structure. This equivalence relation—reflexive, symmetric, and transitive—allows mathematicians to identify nonisomorphic examples, such as the two distinct groups of order 4: the Z/4Z\mathbb{Z}/4\mathbb{Z} and the Klein four-group (Z/2Z)2(\mathbb{Z}/2\mathbb{Z})^2. Similar notions apply to rings, modules, and other algebraic structures, where isomorphisms preserve addition, multiplication, and related operations. Beyond algebra, the concept of isomorphism permeates various branches of mathematics, adapting to the specific relations or operations of each domain. In linear algebra, an isomorphism between vector spaces over the same field is a bijective linear transformation that maintains and vector addition. In , it is a between vertex sets that preserves adjacency relations, crucial for determining when two graphs encode the same connectivity despite different labelings. generalizes isomorphisms as invertible morphisms between objects, providing a unifying framework across mathematical disciplines and emphasizing structural analogies. In , homeomorphisms represent continuous isomorphisms that preserve open sets, highlighting spatial equivalences. Overall, isomorphisms underscore the abstraction that mathematical objects are defined by their relational properties rather than superficial representations, facilitating proofs, classifications, and interdisciplinary connections.

Definition and Properties

Formal Definition

In , an isomorphism is formally defined as a bijective between two mathematical structures, meaning a one-to-one and onto mapping that preserves the operations or relations defining those structures. For algebraic structures equipped with operations, such as groups or rings, an isomorphism f:ABf: A \to B is a bijective function satisfying f(a1a2)=f(a1)f(a2)f(a_1 \cdot a_2) = f(a_1) \cdot f(a_2) for all a1,a2Aa_1, a_2 \in A, where \cdot denotes the on the respective structures (with analogous conditions for multi-ary operations or additional structure like inverses). This definition generalizes to relational structures, where an isomorphism preserves all relations: for any nn-ary relation RR on AA, R(a1,,an)R(a_1, \dots, a_n) holds if and only if R(f(a1),,f(an))R(f(a_1), \dots, f(a_n)) holds on BB. The inverse mapping f1:BAf^{-1}: B \to A is itself an isomorphism, ensuring the structures are equivalently structured in both directions. Two structures related by an isomorphism are denoted as isomorphic, often written ABA \approx B or ABA \cong B.

Key Properties

Isomorphisms are defined as bijective homomorphisms, meaning they are both injective and surjective mappings that preserve the structure of the objects involved. Injectivity ensures that distinct elements in the domain map to distinct elements in the codomain, while surjectivity guarantees that every element in the codomain is the image of exactly one element in the domain, establishing a perfect correspondence between the sets. The structure-preserving aspect of isomorphisms maintains the operations and relations inherent to the mathematical objects. In algebraic contexts, such as groups, an isomorphism f:GHf: G \to H satisfies f(g1g2)=f(g1)f(g2)f(g_1 g_2) = f(g_1) f(g_2) for all g1,g2Gg_1, g_2 \in G, where the operation is denoted multiplicatively; analogous preservation holds for addition in abelian groups or rings. For partially ordered sets, ff is an if aba \leq b f(a)f(b)f(a) \leq f(b), thereby conserving the relational order. Invertibility is a : every isomorphism f:ABf: A \to B admits an inverse f1:BAf^{-1}: B \to A that is itself an isomorphism, satisfying ff1=idBf \circ f^{-1} = \mathrm{id}_B and f1f=idAf^{-1} \circ f = \mathrm{id}_A. This follows from the bijectivity providing a set-theoretic inverse and the homomorphism property ensuring that f1f^{-1} preserves the structure in the reverse direction, as f1(h1h2)=f1(h1)f1(h2)f^{-1}(h_1 h_2) = f^{-1}(h_1) f^{-1}(h_2) can be derived by applying ff to both sides. Isomorphisms exhibit transitivity under composition: if f:ABf: A \to B and g:BCg: B \to C are isomorphisms, then their composition gf:ACg \circ f: A \to C is also an isomorphism, with inverse (gf)1=f1g1(g \circ f)^{-1} = f^{-1} \circ g^{-1}. This property arises because the composition of bijective functions is bijective, and homomorphisms compose to preserve structure. Isomorphic structures are indistinguishable equivalence, sharing all properties that are invariant under isomorphism, such as , order, or algebraic invariants like of a group. Thus, any intrinsic characteristic of one structure holds equivalently for its isomorphic counterpart, rendering them essentially identical in mathematical content.

Examples

Algebraic Examples

One prominent example of an isomorphism in group theory is the natural logarithm function, which establishes a between the of (R+,)(\mathbb{R}^+, \cdot) and the additive group of real numbers (R,+)(\mathbb{R}, +). The map ln:R+R\ln: \mathbb{R}^+ \to \mathbb{R} is bijective, with the exp:RR+\exp: \mathbb{R} \to \mathbb{R}^+ serving as its inverse, and it preserves the group operation via the ln(xy)=ln(x)+ln(y)\ln(xy) = \ln(x) + \ln(y) for all x,y>0x, y > 0. This isomorphism highlights how logarithmic and exponential functions translate between multiplicative and additive structures in the real numbers. In ring theory, the Chinese Remainder Theorem provides an explicit isomorphism for certain quotient rings of the integers. Specifically, when n=pqn = pq with pp and qq coprime, Z/nZZ/pZ×Z/qZ\mathbb{Z}/n\mathbb{Z} \cong \mathbb{Z}/p\mathbb{Z} \times \mathbb{Z}/q\mathbb{Z} as rings. For the case n=6n=6, where p=2p=2 and q=3q=3, the isomorphism Z/6ZZ/2Z×Z/3Z\mathbb{Z}/6\mathbb{Z} \cong \mathbb{Z}/2\mathbb{Z} \times \mathbb{Z}/3\mathbb{Z} can be realized by the map f(kmod6)=(kmod2,kmod3)f(k \mod 6) = (k \mod 2, k \mod 3), which is a bijective ring homomorphism preserving addition and multiplication modulo 6. This construction generalizes to any coprime moduli, decomposing the ring structure into independent components. Vector spaces over the same field exhibit isomorphisms when they have the same , as linear algebra guarantees the existence of invertible linear transformations between them. For instance, the R2\mathbb{R}^2 is isomorphic to itself via any invertible 2×22 \times 2 matrix, such as a , which preserves vector addition and . A by an θ\theta is represented by the matrix (cosθsinθsinθcosθ),\begin{pmatrix} \cos \theta & -\sin \theta \\ \sin \theta & \cos \theta \end{pmatrix}, which is bijective and linear, thus defining a vector space isomorphism. This example underscores that all finite-dimensional s of equal are isomorphic, independent of their concrete realization. In the study of finite groups, the S3S_3 of order 6, consisting of all of three elements, is isomorphic to the D3D_3 of order 6, which represents the symmetries of an . The isomorphism arises by mapping in S3S_3 to the and reflections of the triangle's vertices, preserving the group operation of composition. For example, the 3-cycle (123)(123) in S3S_3 corresponds to a 120-degree in D3D_3, and a transposition like (12)(12) corresponds to a reflection across the altitude from the third vertex. This equivalence demonstrates how abstract permutation groups can model geometric symmetries.

Relational and Functional Examples

In the context of partially ordered sets (posets), an isomorphism is an order-preserving bijection, meaning a bijective function f:PQf: P \to Q between posets (P,P)(P, \leq_P) and (Q,Q)(Q, \leq_Q) such that for all a,bPa, b \in P, aPba \leq_P b if and only if f(a)Qf(b)f(a) \leq_Q f(b). A classic example is the order isomorphism between the poset of natural numbers (N,)(\mathbb{N}, \leq) and the poset of even natural numbers (2N,)(2\mathbb{N}, \leq), given by the doubling map f(n)=2nf(n) = 2n. This map preserves the order relation because if mnm \leq n, then 2m2n2m \leq 2n, and it is bijective since every even number is hit exactly once and the inverse is f1(k)=k/2f^{-1}(k) = k/2 for even kk. In , isomorphisms between spaces of functions and sequence spaces often rely on bases or expansions, though such mappings are typically limited in infinite-dimensional cases due to completeness or norm considerations. For instance, the of all polynomials on [0,1][0,1], denoted P[0,1]\mathcal{P}[0,1], is isomorphic as a to the space of finite-support sequences over the reals, R(N)\mathbb{R}^{( \mathbb{N} )}, via the map that sends a polynomial k=0nakxk\sum_{k=0}^n a_k x^k to the sequence (a0,a1,,an,0,0,)(a_0, a_1, \dots, a_n, 0, 0, \dots). This linear preserves addition and , establishing the structural equivalence between the two spaces. Without additional like operations or orders, any two sets of the same are isomorphic via a that simply pairs elements one-to-one. For example, the set of numbers N\mathbb{N} and the set of integers Z\mathbb{Z} have the same 0\aleph_0, and an explicit is the zig-zag mapping that sends 000 \mapsto 0, positive integers to positives in order, and negative integers to negatives in reverse order: specifically, f(0)=0f(0) = 0, f(2k1)=kf(2k-1) = k for k1k \geq 1, and f(2k)=kf(2k) = -k for k1k \geq 1. This has no inverse in a relational beyond set membership but demonstrates the absence of intrinsic in pure sets. Graph isomorphisms preserve the adjacency relation, defined as a ϕ:V(G)V(H)\phi: V(G) \to V(H) between vertex sets of graphs GG and HH such that for any vertices u,vV(G)u, v \in V(G), {u,v}\{u, v\} is an edge in GG if and only if {ϕ(u),ϕ(v)}\{\phi(u), \phi(v)\} is an edge in HH. A simple example is the C5C_5 on five vertices, which is isomorphic to itself under a ϕ(i)=i+1(mod5)\phi(i) = i+1 \pmod{5}, preserving all adjacencies since neighbors of ii are i1i-1 and i+1i+1, mapping to neighbors of ϕ(i)\phi(i). This corresponds to adjacency matrices being equal up to simultaneous of rows and columns by the same ordering.

Applications in Mathematics

In Algebra and Number Theory

In algebra, isomorphisms play a central role in the classification of finite abelian groups through the Fundamental Theorem of Finite Abelian Groups, which asserts that every such group is isomorphic to a direct product of cyclic groups of prime-power order. This decomposition allows for the unique determination (up to isomorphism) of the structure using either elementary divisors or invariant factors; for instance, the group Z/12Z\mathbb{Z}/12\mathbb{Z} is isomorphic to Z/4Z×Z/3Z\mathbb{Z}/4\mathbb{Z} \times \mathbb{Z}/3\mathbb{Z} under the invariant factor form. The theorem, originally proved using group-theoretic methods, facilitates computations in group theory by reducing complex structures to products of simpler cyclic components, as seen in the earlier algebraic example of Z/6Z\mathbb{Z}/6\mathbb{Z}. In , isomorphisms between the of a and the group of equivalence classes of binary quadratic forms of the corresponding enable the solution of certain Diophantine equations, such as those involving representation by quadratic forms. For imaginary quadratic fields Q(d)\mathbb{Q}(\sqrt{d})
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