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Homomorphism

In , particularly within , a homomorphism is a between two algebraic structures of the same type—such as groups, rings, or spaces—that preserves the operations and relations defining those structures. For instance, in the case of groups G and H, a homomorphism \phi: G \to H satisfies \phi(g_1 g_2) = \phi(g_1) \phi(g_2) for all g_1, g_2 \in G, ensuring compatibility with the group . Similarly, for rings R and S, it preserves both and : \phi(a + b) = \phi(a) + \phi(b) and \phi(ab) = \phi(a) \phi(b) for all a, b \in R. Key properties of homomorphisms include their images and kernels, which provide insights into the structural relationships between the and . The image of a homomorphism \phi: G \to H is the \phi(G) \subseteq H, which forms a of H. The kernel is the preimage of the in H, defined as \ker(\phi) = \{ g \in G \mid \phi(g) = e_H \}, and it is always a of G. These elements enable the formation of quotient structures; for example, the first isomorphism theorem states that G / \ker(\phi) \cong \operatorname{im}(\phi), linking the original group to a simpler isomorphic copy. Homomorphisms are foundational to understanding algebraic similarities and classifications, as they reveal how one structure can be embedded into or projected onto another. A bijective homomorphism, called an isomorphism, establishes that two structures are essentially identical up to relabeling, while injective ones (monomorphisms) allow embeddings as substructures. Examples abound in applications: the exponential map x \mapsto e^x is a homomorphism from (\mathbb{R}, +) to (\mathbb{R}^+, \times), and the determinant function is a homomorphism from the general linear group GL_n(\mathbb{R}) to the multiplicative group \mathbb{R}^\times. Beyond groups and rings, homomorphisms extend to modules, fields, and categories, underpinning theorems in Galois theory and representation theory.

Core Concepts

Definition

In , a homomorphism is synonymous with a , which is an f: A \to B between objects A and B in a . Categories consist of objects (such as sets or algebraic structures) and (maps between them) with associative composition and identity morphisms obeying the category axioms. In , a homomorphism is a function f: S \to T between two algebraic structures S and T of the same type that preserves their operations; for instance, in groups (S, \cdot_S) and (T, \cdot_T), it satisfies f(a \cdot_S b) = f(a) \cdot_T f(b) for all a, b \in S, and similarly for rings (preserving and ) or spaces (preserving and scalar multiplication). Note that for rings, some definitions require homomorphisms to preserve the multiplicative (unital ring homomorphisms), while others do not. For algebraic structures with compatible identity elements, such as groups, homomorphisms map the identity to the identity; similar conventions apply to unital rings and spaces. Standard notation employs f or \phi for these functions, with the preservation conditions ensuring the map respects the underlying algebraic relations without altering the intrinsic operations. These definitions presuppose familiarity with categories as collections of objects and morphisms, and algebraic structures like groups, rings, or spaces equipped with compatible operations. A bijective homomorphism whose is also a homomorphism is termed an , establishing structural equivalence between objects.

Properties

Homomorphisms possess fundamental preservation properties that maintain the structural integrity of the source and target objects. In the context of groups, a homomorphism \phi: G \to H maps the of G to the of H, i.e., \phi(e_G) = e_H. It also preserves inverses, satisfying \phi(g^{-1}) = \phi(g)^{-1} for all g \in G. These properties extend to other algebraic structures, where homomorphisms preserve the defining operations and relations; for instance, in partially ordered sets (posets), a homomorphism f: P \to Q is order-preserving, meaning if a \leq_P b then f(a) \leq_Q f(b). A key universal property of homomorphisms is their closure under composition. If \phi: G \to H and \psi: H \to K are homomorphisms between groups, then the composite map \psi \circ \phi: G \to K is also a homomorphism. This composition property underpins the formation of categories, where objects are the algebraic structures and morphisms are the homomorphisms. The first isomorphism theorem provides a structural relation between the kernel and image of a homomorphism (see Structural Elements). For a group homomorphism \phi: G \to H, there exists a natural isomorphism G / \ker(\phi) \cong \operatorname{im}(\phi), where \ker(\phi) is the preimage of the identity in H. In topological contexts, such as topological groups, homomorphisms are often continuous, thereby preserving limits and the topological structure.

Examples

Algebraic Examples

In group theory, a concrete example of a homomorphism is the projection map from the direct product group \mathbb{Z} \times \mathbb{Z} to \mathbb{Z}, defined by f(m, n) = m. This map preserves the group operation of addition: for any (m, n), (p, q) \in \mathbb{Z} \times \mathbb{Z}, f((m, n) + (p, q)) = f(m + p, n + q) = m + p = f(m, n) + f(p, q). In , the from the \mathbb{Z} to the field of rational numbers \mathbb{Q}, given by f(k) = k for all k \in \mathbb{Z}, is a . It preserves both addition and multiplication: f(a + b) = a + b = f(a) + f(b) and f(a \cdot b) = a \cdot b = f(a) \cdot f(b), and it maps the multiplicative identity $1 \in \mathbb{Z} to $1 \in \mathbb{Q}. In the context of vector spaces over the real numbers, any linear transformation T: \mathbb{R}^n \to \mathbb{R}^m serves as a homomorphism, preserving vector addition and : T(\mathbf{u} + \mathbf{v}) = T(\mathbf{u}) + T(\mathbf{v}) and T(c \mathbf{u}) = c T(\mathbf{u}) for \mathbf{u}, \mathbf{v} \in \mathbb{R}^n and c \in \mathbb{R}. Such transformations admit a : relative to standard bases, T(\mathbf{x}) = A \mathbf{x} where A is an m \times n whose columns are the images of the vectors of \mathbb{R}^n.

Categorical Examples

In , homomorphisms are precisely the morphisms of a , which abstract the notion of structure-preserving maps across various mathematical domains. A foundational example occurs in the Set, where the objects are sets and the morphisms—termed homomorphisms—are arbitrary functions between sets. Composition of these homomorphisms corresponds to the standard , ensuring that the diagram of sets and functions satisfies the categorical axioms of associativity and identity preservation. Another illustrative case arises in the category of partially ordered sets, often denoted Poset, where objects are posets and homomorphisms are order-preserving maps. Such a map f: (P, \leq_P) \to (Q, \leq_Q) satisfies x \leq_P y implies f(x) \leq_Q f(y) for all x, y \in P, thereby maintaining the partial order structure under the mapping. These homomorphisms form the arrows of Poset, with composition defined pointwise as in Set, highlighting how categorical homomorphisms generalize relational preservation beyond algebraic operations. Homomorphisms can also be induced by functors, which are structure-preserving maps between categories themselves. A functor F: \mathcal{C} \to \mathcal{D} sends objects of \mathcal{C} to objects of \mathcal{D} and morphisms (homomorphisms) of \mathcal{C} to morphisms of \mathcal{D}, preserving composition and identities. For instance, the forgetful functor U: \mathbf{Grp} \to \mathbf{Set} from the category of groups to sets maps each group homomorphism \phi: G \to H to its underlying set function U(\phi): U(G) \to U(H), effectively "forgetting" the group operation while retaining the mapping. This induction underscores the role of functors in generating homomorphisms across categorical levels. Central to the structure of any category is the hom-set \operatorname{Hom}_{\mathcal{C}}(A, B), which collects all homomorphisms from an object A to an object B in \mathcal{C}. In locally small categories, these hom-sets form actual sets, and composition of homomorphisms defines a binary operation on them, endowing the category with its arrow framework. For example, in Set, \operatorname{Hom}_{\mathbf{Set}}(A, B) is the power set of all functions from A to B, illustrating how hom-sets encapsulate the relational essence of homomorphisms.

Special Types

Isomorphisms and Automorphisms

An isomorphism between two algebraic structures is a bijective homomorphism whose is also a homomorphism. This ensures that the structures are equivalent in a strong sense, preserving not only the operations but also allowing a reversible between them. Such maps are often denoted by the ≅, indicating that the structures are isomorphic. An is a special case of an where the and are the same , effectively a of the itself. The collection of all automorphisms of a forms a group under , known as the . For instance, in the D_n (n ≥ 3), which models the symmetries of a regular n-gon, automorphisms map the rotation \langle r \rangle to itself via f(r) = r^a where a is coprime to n, effectively "rotating" the generator of rotations while adjusting reflections accordingly. A concrete example of an isomorphism is the map \phi: \mathbb{Z} \to 2\mathbb{Z} defined by \phi(n) = 2n, which is a bijective under , with inverse \psi(m) = m/2 for even m, also a homomorphism. Another example arises in : the complex conjugation map \sigma: \mathbb{C} \to \mathbb{C} given by \sigma(a + bi) = a - bi (for a, b \in \mathbb{R}) is a field , as it is bijective and preserves and . Isomorphisms preserve all structural properties of the underlying algebraic structures, such as the orders of elements, the , subgroups, and the overall group order. For groups specifically, if \phi: G \to H is an isomorphism, then \phi maps subgroups of G bijectively to subgroups of H, and the order of \phi(g) equals the order of g for each g ∈ G. This preservation underscores why isomorphic structures are considered indistinguishable algebraically.

Endomorphisms

An endomorphism of an S is a \phi: S \to S that preserves the operations of S. This concept arises naturally in various algebraic categories, where it captures self-maps that respect the structure's axioms, such as group operations or multiplications. The set of all endomorphisms of S, denoted \operatorname{End}(S), forms a under and of maps as . Specifically, for an A, \operatorname{End}(A) consists of all group homomorphisms from A to itself, with defined by (\phi + \psi)(a) = \phi(a) + \psi(a) and multiplication by \phi \circ \psi. This structure endows endomorphisms with algebraic properties amenable to ring-theoretic analysis, such as units corresponding to automorphisms. In the category of vector spaces over a field k, endomorphisms are precisely the linear transformations from a space V to itself. A classic example is scalar multiplication by an element \lambda \in k, which defines the endomorphism \phi_\lambda(v) = \lambda v for all v \in V. Another representative example is a projection onto a subspace W \subseteq V, which maps vectors in W to themselves and those in a complementary subspace to zero. Such projections are idempotent endomorphisms, satisfying \phi^2 = \phi. Endomorphisms exhibit notable properties within their rings, including idempotents and . An idempotent in \operatorname{End}(S) is an element \phi such that \phi^2 = \phi, generalizing projections in spaces to broader structures like modules. In contrast, a endomorphism \phi satisfies \phi^r = 0 for some positive r, meaning iterated application eventually yields the zero map; this occurs, for instance, in nilpotent linear operators on finite-dimensional spaces. These properties play key roles in decomposing structures and analyzing stability. Endomorphisms find applications in dynamical systems, where an endomorphism \phi: X \to X on a space X generates via , with orbits \{\phi^n(x)\}_{n \geq 0} modeling evolution. For example, toral endomorphisms induced by integer matrices on the n- provide models for behavior when the matrix has eigenvalues outside the unit . This framework extends to studying invariant measures and in non-invertible settings.

Monomorphisms and Epimorphisms

In category theory, a monomorphism is a morphism \phi: A \to B that is left-cancellative, meaning that if \phi \circ \psi = \phi \circ \psi' for morphisms \psi, \psi': C \to A, then \psi = \psi'. This property generalizes the notion of an injective function from the category of sets, where monomorphisms coincide exactly with injections, but in more general categories, monomorphisms may not be injective in the underlying sets. For instance, in the category of abelian groups, the inclusion map \mathbb{Z} \hookrightarrow \mathbb{Q} is a monomorphism because it is injective and satisfies the left-cancellation property. Dually, an is a \phi: A \to B that is right-cancellative, meaning that if \psi \circ \phi = \psi' \circ \phi for s \psi, \psi': B \to C, then \psi = \psi'. In the , epimorphisms are precisely the surjective functions, but this equivalence does not hold in all categories; for example, in the , epimorphisms need not be surjective. A classic illustration is the \mathbb{Z} \hookrightarrow \mathbb{Q} in the (with ), which is an epimorphism: for any two ring homomorphisms f, g: \mathbb{Q} \to R agreeing on \mathbb{Z}, one can show f = g because every rational can be expressed as a of integers, forcing agreement via the universal property. In contrast, the evaluation map \mathbb{R} \to \mathbb{R} sending a polynomial to its value at $0$ is an epimorphism (and surjective) in the category of rings, but it highlights how projections often behave as epimorphisms in algebraic settings. While monomorphisms and epimorphisms are one-sided notions, a morphism that is both is an in many categories, such as sets or groups, though counterexamples exist in more complex structures like rings. These concepts emphasize the abstract cancellativity over pointwise properties like injectivity or surjectivity, providing a framework for understanding structure-preserving maps beyond concrete set-theoretic behavior.

Structural Elements

Kernel

In the context of a homomorphism \phi: S \to T between algebraic structures equipped with an e_T in T, the of \phi, denoted \ker(\phi), is defined as the preimage \ker(\phi) = \{ s \in S \mid \phi(s) = e_T \}. This set quantifies the extent to which \phi fails to preserve distinct elements of S, as it consists precisely of those elements mapped to the identity, thereby capturing the "loss of injectivity" or structural information in the mapping. In specific algebraic settings, \ker(\phi) inherits additional structure: for group homomorphisms, it forms a of S; for ring homomorphisms, it is an of S./16%3A_Rings/16.05%3A_Ring_Homomorphisms_and_Ideals) The kernel induces a natural congruence relation on S, defined by s \sim t if and only if \phi(s) = \phi(t), or equivalently (in group cases) if s^{-1}t \in \ker(\phi). This equivalence relation partitions S into cosets, enabling homomorphisms to factor through the quotient structure S / \ker(\phi), where the canonical projection \pi: S \to S / \ker(\phi) followed by an induced map yields \phi. Specifically, \phi factors as \phi = \overline{\phi} \circ \pi, with \overline{\phi} injective on the quotient, highlighting how the kernel encodes the non-injective part of the homomorphism. Categorically, the kernel satisfies a universal property: the inclusion morphism k: \ker(\phi) \to S is a monomorphism such that \phi \circ k is the zero morphism (to the terminal object), and for any morphism m: M \to S with \phi \circ m zero, there exists a unique u: M \to \ker(\phi) making the diagram commute, i.e., m = k \circ u. This property is realized via a pullback diagram in categories with zero morphisms and pullbacks: \begin{CD} \ker(\phi) @>>> 0 \\ @VVV @VVV \\ S @>{\phi}>> T \end{CD} where the square is a , ensuring \ker(\phi) is the universal of S annihilated by \phi. A concrete example arises in the projection homomorphism \pi: \mathbb{Z} \to \mathbb{Z}/n\mathbb{Z} given by \pi(k) = k \mod n, whose is \ker(\pi) = n\mathbb{Z}, the of multiples of n. This illustrates how the identifies the elements "collapsed" to the in the quotient, measuring the structural simplification from \mathbb{Z} to the finite .

Image

In the context of a homomorphism \phi: S \to T between algebraic structures, the image of \phi, denoted \operatorname{im}(\phi), is defined as the set \{\phi(s) \mid s \in S\}. This set forms a substructure of T, such as a if \phi is a group homomorphism, or a subring if \phi is a ring homomorphism, inheriting the operations from T. A key property of the image arises from the first , which states that the canonical projection map from the S / \ker(\phi) to \operatorname{im}(\phi) is an of structures. This establishes that the image is structurally equivalent to the domain modulo its , providing a fundamental link between homomorphisms, , and substructures. In abelian categories, the of \phi, denoted \operatorname{coker}(\phi), is the object T / \operatorname{im}(\phi), to the . This duality highlights the image's role in completing the homological description of \phi, where \operatorname{im}(\phi) serves as the kernel of the canonical map to the . For example, consider the inclusion homomorphism \iota: \mathbb{Z} \to \mathbb{Q} defined by \iota(n) = n/1 for n \in \mathbb{Z}. The image \operatorname{im}(\iota) = \mathbb{Z} is the subring of integers within \mathbb{Q}, which algebraically generates \mathbb{Q} as a field when inverted, though it remains a proper substructure./07%3A_Rings_I/7.02%3A_Ring_Homomorphisms)

Applications in Structures

Relational Structures

In relational structures, a homomorphism is a function f: A \to B between two structures A and B sharing the same relational signature, such that for every k-ary relation R in the signature and every tuple (a_1, \dots, a_k) \in R^A, it holds that (f(a_1), \dots, f(a_k)) \in R^B. This preservation ensures that the mapping respects the relational constraints defining the structures, extending the notion of structure-preserving maps from purely algebraic settings to those emphasizing relations over operations. Examples of relational homomorphisms include order homomorphisms between partially ordered sets (posets), where the binary relation is the \leq, and f is a map satisfying x \leq y implies f(x) \leq f(y). In lattices, viewed as posets with an , order homomorphisms similarly take the form of maps that preserve the partial . Another instance arises with relations, such as adjacency in structures, where the homomorphism preserves the 's membership for pairs. Relational homomorphisms unify and generalize traditional algebraic homomorphisms by reducing to standard definitions for structures like lattices when relations correspond to operations. They preserve relational satisfaction for atomic formulas, thereby inducing compatible mappings on any algebraic structures derived from the relations, such as operations in posets. In , injective relational homomorphisms serve as embeddings, which not only preserve but also reflect relation membership, ensuring the substructure induced in the matches the original. These embeddings play a key role in constructing extensions and analyzing elementary equivalence between models.

Graph Structures

In , a homomorphism from a graph G = (V(G), E(G)) to a H = (V(H), E(H)) is a f: V(G) \to V(H) such that whenever (u, v) \in E(G), it follows that (f(u), f(v)) \in E(H). This preservation of adjacency ensures that the structure of connections in G is respected in H, though non-adjacent vertices in G may map to adjacent ones in H. Unlike isomorphisms, graph homomorphisms need not be bijective or preserve non-edges, allowing for contractions of structure. A prominent example of graph homomorphisms arises in , where a proper k-coloring of G corresponds exactly to a homomorphism from G to the K_k on k vertices. In this mapping, vertices of G are assigned colors (vertices of K_k), and the edge preservation condition ensures that adjacent vertices in G map to distinct, adjacent vertices in K_k. Another example involves retractions, which are homomorphisms from G to an H of G that fix every vertex of H pointwise. Key properties of homomorphisms include the formation of homomorphic images and s. The homomorphic image of G under a surjective homomorphism f to H is H itself, representing a of G where equivalent vertices (under the of f) are collapsed while retaining relations. A of a is a minimal in its homomorphic equivalence class—meaning it admits no homomorphism to any proper and is thus non-retractable to a smaller —unique up to and serving as the simplest representative of s with identical homomorphism behavior. Graph homomorphisms find significant application in constraint satisfaction problems (CSPs), where determining the existence of a homomorphism from an instance graph G to a template graph H solves problems like k-coloring (when H = K_k) by verifying satisfiability of edge constraints. This framework, introduced in seminal work linking graph homomorphisms to general CSPs, enables complexity classifications: for example, CSPs reducible to graph homomorphism are polynomial-time solvable if H is bipartite and NP-complete otherwise in many cases.

Formal Language Theory

In formal language theory, a homomorphism is a structure-preserving map between the free monoids generated by finite alphabets \Sigma and \Gamma. Formally, it is a function h: \Sigma^* \to \Gamma^* satisfying h(\epsilon) = \epsilon and h(xy) = h(x)h(y) for all words x, y \in \Sigma^*, where \epsilon denotes the empty word. This mapping is uniquely determined by its action on individual letters, specifying a word h(a) \in \Gamma^* for each a \in \Sigma and extending by concatenation. Homomorphisms are distinguished as erasing or non-erasing based on whether they permit mapping letters to the empty word. An erasing homomorphism allows h(a) = \epsilon for some a \in \Sigma, effectively deleting symbols; for instance, over \Sigma = \{a, b\}, the mapping h(a) = \epsilon and h(b) = b transforms the word abab to bb by removing all a's. A non-erasing homomorphism requires h(a) \neq \epsilon for all a \in \Sigma, ensuring no deletions occur; an example is h(a) = ab and h(b) = ba over \{a, b\}, which substitutes each letter with a non-empty word while preserving sequential structure, as seen in applications like rule substitutions in phrase-structure grammars. These coding functions model operations such as symbol erasure or replacement in language processing and generation. The of a homomorphism h is the \equiv_h on \Sigma^* defined by u \equiv_h v if and only if h(u) = h(v), partitioning words by their images under h. In relation to s, when the aligns with a (a prefix-free or uniquely decipherable set), the homomorphism supports finite maximal in decoding, meaning any image word has at most a bounded number of preimages, distinct from the algebraic in structural elements. Homomorphisms are essential in for their preservation properties on classes. If L \subseteq \Sigma^* is a , then the h(L) = \{ h(w) \mid w \in L \} is regular, as finite automata can be adapted by relabeling transitions according to h. Similarly, the h^{-1}(M) = \{ w \in \Sigma^* \mid h(w) \in M \} is regular for any M \subseteq \Gamma^*, allowing s (also called rational languages) to be mapped while maintaining recognizability by finite automata. These properties enable reductions in analysis, such as proving regularity via simplified encodings.

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