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Symmetric relation

In , a symmetric relation is a R on a set A such that for all a, b \in A, if aRb, then bRa. This property ensures that the relation is under the reversal of its ordered pairs, distinguishing it from asymmetric or antisymmetric relations. Symmetric relations play a fundamental role in relational mathematics, particularly as one of the three defining of an , alongside reflexivity and . An on a set induces a into equivalence classes, where elements within each class are related symmetrically and transitively. Common examples include the equality on any set, which relates an element only to itself but satisfies symmetry vacuously for distinct pairs, and the on integers defined by x \sim y if |x| = |y|, which equates numbers with the same magnitude regardless of sign. Another example is the "not equal to" on a set, where if a \neq b, then b \neq a. In , symmetric relations model undirected graphs, where the adjacency relation between vertices is symmetric: an edge connecting u to v implies a from v to u, with no inherent direction. This correspondence allows symmetric relations to represent bidirectional connections, such as friendships in social networks or physical links in transportation systems. Beyond , symmetric relations appear in and .

Definition

Informal Description

A symmetric relation describes a between elements where the works equally in both directions, treating the involved elements as interchangeable. If one element stands in this to another, the second element necessarily stands in the same to the first, ensuring a balanced and link without favoring one over the other. This concept is analogous to mutual friendships among , where if A considers B a friend, then B also considers A a friend, or to undirected paths between locations, such as roads that allow travel in either direction without distinction. Binary relations, which pair elements together, often exhibit this symmetry when the pairing is non-directional. The concept of symmetry in binary relations, often referred to as convertibility, emerged in the mid-19th century as part of the development of the calculus of relations in , particularly through the foundational work of , who studied properties like and , and later and Ernst Schröder. It is important to note that such does not require the related elements to be identical to one another, nor does it demand that every element relates to itself.

Formal Definition

In , a R on a set X is defined as a subset of the X \times X. The R is symmetric if, for all a, b \in X, whenever (a, b) \in R, it follows that (b, a) \in R. Equivalently, R is symmetric if and only if R = R^{-1}, where R^{-1} denotes the (or inverse) relation given by R^{-1} = \{(b, a) \mid (a, b) \in R\}. This condition distinguishes symmetric relations from general directed binary relations, which may connect a to b without a connection from b to a; symmetry requires bidirectionality for every pair of related elements.

Examples

In Mathematics

In mathematics, the relation on a set X is defined by a \sim b a = b for all a, b \in X. This relation is symmetric because equality is bidirectional: if a = b, then necessarily b = a, reflecting the inherent in the definition of as an . Another fundamental example is the modulo n, where n is a positive . For integers a and b, a \equiv b \pmod{n} n divides a - b. This relation is symmetric due to the property of divisibility: if n divides a - b, then n also divides b - a = -(a - b), ensuring b \equiv a \pmod{n}. modulo n plays a central role in , partitioning the integers into equivalence classes that form the ring \mathbb{Z}/n\mathbb{Z}. In , the perpendicularity between two lines l_1 and l_2 holds if l_1 \perp l_2, meaning they intersect at a . This is symmetric because if l_1 forms a 90-degree angle with l_2, then l_2 necessarily forms the same angle with l_1, as angles at the intersection are complementary pairs. Perpendicularity is essential in defining orthogonal structures, such as coordinate axes in the . In metric spaces, the distance function d defines a symmetric relation via d(a, b) = d(b, a) for all points a, b in the space. This symmetry axiom ensures that the distance between two points is independent of direction, underpinning the of spaces like \mathbb{R}^n or more general topologies. For instance, in \mathbb{R}^2 with the Euclidean metric d((x_1, y_1), (x_2, y_2)) = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}, the d(a, b) = d(b, a) follows directly from the squared terms. For contrast, consider the divides on the positive s, where a \mid b if there exists an k such that b = a k. This is not symmetric, as $2 \mid 4 holds (with k=2) but $4 \nmid 2 (no such k exists). The divides thus highlights how fails in partial orders, unlike the bidirectional examples above.

In Everyday Contexts

Symmetric relations appear in various everyday scenarios where the connection between two entities is mutual and bidirectional, meaning if one applies to the other, the reverse also holds without implying hierarchy or directionality. A classic example is the familial of " of," where if person A is a of person B, then person B is necessarily a of person A, as siblings share the same parental lineage. This ignores any potential differences in or , focusing solely on the bond. Similarly, the "twin of" exemplifies this in cases of or fraternal twins, where the mutual as twins creates an inherent two-way connection. In social interactions, friendship often functions as a symmetric relation, particularly in mutual acquaintanceships without power imbalances; if individual X considers Y a friend, Y reciprocates the sentiment in a balanced manner. This bidirectionality underscores the core idea of symmetric relations, where the association is by nature. Physical symmetries, such as one object being the "mirror image" of another, also illustrate this concept in basic terms, as the relation holds equally in reverse for paired items like left and right hands. Linguistically, the relation "synonym of" between words demonstrates symmetry, as if word A is a of word B—sharing the same or nearly identical meaning—then word B is likewise a of word A. In contrast, not all everyday relations are symmetric; for instance, " of" is directional and non-symmetric, since if A is the of B, B cannot be the of A due to the generational . These examples highlight how symmetric relations foster and mutuality in common human experiences.

Properties

Basic Properties

A symmetric relation R on a set X exhibits several inherent properties that follow directly from the requirement that R equals its R^{-1}. The empty relation \emptyset on X is always symmetric, as it contains no s and thus vacuously satisfies the condition that whenever (a, b) \in \emptyset, it follows that (b, a) \in \emptyset. Similarly, the full relation X \times X is symmetric, since every possible (a, b) is included, ensuring that (b, a) is also present for all a, b \in X. The relation I_X = \{(a, a) \mid a \in X\} is symmetric because each pair (a, a) trivially implies itself under the symmetry condition. is preserved under : if R and S are symmetric relations on X, then R \cup S is symmetric. To see this, suppose (a, b) \in R \cup S; then (a, b) \in R or (a, b) \in S. If (a, b) \in R, symmetry of R gives (b, a) \in R \subseteq R \cup S; similarly if (a, b) \in S. Additionally, is preserved under complementation: if R is symmetric on X, then its complement (X \times X) \setminus R is also symmetric. This holds because if (a, b) \notin R, then (b, a) \notin R (since symmetry of R would otherwise imply (a, b) \in R), so both pairs are absent from the complement.

Derived Properties

A symmetric relation R on a set X is closed under with another symmetric relation S on X; that is, if both R and S are symmetric, then R \cap S is symmetric. To see this, suppose (a, b) \in R \cap S. Then (a, b) \in R, so by symmetry of R, (b, a) \in R; similarly, (b, a) \in S. Thus, (b, a) \in R \cap S. The restriction of a symmetric relation to a is also symmetric. Specifically, if R is symmetric on X and Y \subseteq X, then the restriction R|_Y = \{(a, b) \in R \mid a, b \in Y\} is symmetric on Y. Indeed, if (a, b) \in R|_Y, then (a, b) \in R with a, b \in Y, so (b, a) \in R by symmetry of R, and since b, a \in Y, it follows that (b, a) \in R|_Y. A R on X is symmetric it equals its R^{-1} = \{(b, a) \in X \times X \mid (a, b) \in R\}. To derive this, assume R is symmetric: for any (a, b) \in R, (b, a) \in R, so every pair in R^{-1} is in R, hence R^{-1} \subseteq R; the reverse inclusion holds by applying the same to R^{-1}, which is symmetric if R is. Conversely, if R = R^{-1}, then for (a, b) \in R, (b, a) \in R^{-1} = R. The collection of symmetric relations is not closed under composition. For a counterexample, consider the set X = \{a, b, c\} with symmetric relations R = \{(a, b), (b, a)\} and S = \{(b, c), (c, b)\}. The R \circ S = \{(a, c)\}, since a R b S c, but (c, a) \notin R \circ S (no intermediate element connects c to a via R and S), so R \circ S is not symmetric. For a symmetric relation R on a finite set X with |X| = n, the pairs off the diagonal (i.e., excluding possible reflexive loops (x, x)) come in matched pairs (x, y) and (y, x) for x \neq y, so the cardinality of R excluding the diagonal is even. This pairing structure arises because symmetry requires that if (x, y) \in R with x \neq y, then (y, x) \in R, contributing two elements unless x = y. The total number of possible symmetric relations on such a finite set is $2^{n(n+1)/2}, reflecting independent choices for the n diagonal positions and the n(n-1)/2 upper-triangular pairs (each including both directions or neither).

Relations to Other Relations

With Asymmetric Relations

An asymmetric relation on a set X is defined as a R \subseteq X \times X such that for all a, b \in X, if aRb, then \neg (bRa). This property ensures that the relation is strictly one-directional, with no reciprocal pairs. Symmetric relations, by contrast, require that if aRb, then bRa. Consequently, no non-empty relation can simultaneously satisfy both properties, as the existence of any pair (a, b) \in R with a \neq b would demand bRa (from symmetry) while prohibiting it (from asymmetry), leading to a . The only relation that is both symmetric and asymmetric is the empty relation on X. A classic example of an asymmetric relation is the "less than" relation < on the real numbers \mathbb{R}, where if a < b, then it is impossible for b < a. This contrasts sharply with the symmetric equality relation = on \mathbb{R}, where a = b implies b = a. In the context of tournaments in , an corresponds to a complete (tournament) where exactly one directed edge exists between any pair of distinct vertices, ensuring no 2-cycles ( edges). Logically, the asymmetry condition implies that the symmetric part of the is empty, meaning R \cap R^{-1} = \emptyset, where R^{-1} is the consisting of all pairs (b, a) such that aRb.

With Antisymmetric Relations

An on a set X is defined as a R such that for all a, b \in X, if aRb and bRa, then a = b. This property ensures that no two distinct elements are related to each other in both directions, effectively prohibiting bidirectional pairs except for self-relations where a = b. A can be both symmetric and antisymmetric only if it is a of the on X, meaning the only pairs it contains are of the form (a, a) for elements a \in X, or the empty on a nonempty set. In particular, the itself—where a R b a = b—satisfies both properties, as it is symmetric (since a = b implies b = a) and antisymmetric (since mutual forces by definition). To see why this compatibility holds, suppose R is both symmetric and antisymmetric. By symmetry, for any a, b \in X with a R b, it follows that b R a. Then, by antisymmetry, a R b and b R a imply a = b. Thus, the only possible related pairs are those where a = b, reducing R to (a subset of) the relation. The converse is straightforward: any subset of the relation inherits both properties vacuously or directly. For an example contrasting these properties, consider the subset \subseteq on the power set of a nonempty set, such as \mathcal{P}(\{[1](/page/1)\}). This is antisymmetric because if A \subseteq B and B \subseteq A, then A = B, but it is not symmetric, as \emptyset \subseteq \{1\} holds while \{[1](/page/1)\} \not\subseteq \emptyset. In , the on \mathcal{P}(\{[1](/page/1)\}) is both symmetric and antisymmetric. In the context of partial orders, which are reflexive, antisymmetric, and transitive relations, antisymmetry specifically prevents the formation of symmetric cycles of length greater than 1, allowing only self-loops (i.e., reflexive pairs where a R a) without introducing inconsistencies in the ordering. This ensures that distinct elements cannot mutually relate, maintaining the structure's acyclicity beyond trivial loops.

With Equivalence Relations

An on a set is defined as a that satisfies three properties: reflexivity, , and . Reflexivity requires that every is related to itself, ensures that if one is related to another, the holds in both directions, and means that if one is related to a second and the second to a third, then the first is related to the third. These properties together allow the to partition the set into disjoint classes, where elements within each class are indistinguishable under the . The property is essential for the undirected nature of these partitions, guaranteeing that membership in an is bidirectional: if a is in the of b, then b is in the of a. Without , the relation would not treat the classes as symmetric groupings, potentially leading to directed or hierarchical structures rather than mutual equivalences. For example, the modulo n on the integers, where a \equiv b \pmod{n} if n divides a - b, forms an precisely because it combines reflexivity (since n divides $0), (if n divides a - b, then it divides b - a), and (if n divides a - b and b - c, then it divides a - c). This ensures that congruent integers are grouped symmetrically into residue classes. In contrast, relations that are reflexive and transitive but lack do not qualify as relations. A standard example is the "divides" on the positive , where a relates to b if a divides b; this is reflexive (every divides itself) and transitive (if a divides b and b divides c, then a divides c), but not symmetric (e.g., $2 divides $4, but $4 does not divide $2). Similarly, the \leq on the real numbers is reflexive and transitive but fails , as $1 \leq 2 holds while $2 \not\leq 1. These examples illustrate how the absence of prevents the formation of equivalence classes. A key characterization is that symmetry combined with transitivity implies reflexivity, but only on the domain of the relation—specifically, for any element a such that there exists some b with (a, b) in the relation, then (a, a) must hold. To see this, if (a, b) is in the relation, symmetry yields (b, a), and transitivity then gives (a, a). However, the relation may not be reflexive on the entire set if there are isolated elements not participating in any pairs, such as in the empty relation on a non-empty set. This partial reflexivity underscores symmetry's role in building toward full equivalence when reflexivity is explicitly added.

Applications

In Graph Theory

In graph theory, a symmetric relation R on a finite set of vertices V corresponds directly to an undirected simple graph G = (V, E), where the edge set E consists of all unordered pairs \{a, b\} with a \neq b and aRb. This mapping excludes self-loops, treating R as irreflexive for standard graph representations, though reflexive symmetric relations can include loops if desired. The symmetry of R ensures that edges are bidirectional, distinguishing undirected graphs from directed ones where relations may lack this mutuality. Adjacency in such graphs is defined symmetrically: vertices a and b (with a \neq b) are adjacent if and only if aRb, implying bRa, which precludes directed edges and aligns the relation with the undirected structure. The of G, a |V| \times |V| with entries 1 if adjacent and 0 otherwise (diagonal typically 0), is inherently symmetric due to this property. Representative examples illustrate this correspondence. The K_n on n vertices features the full symmetric relation minus the diagonal, relating every distinct pair of vertices. Conversely, the empty graph (edgeless graph) on V corresponds to the empty symmetric relation, with no pairs related. Key properties of undirected graphs emerge from the symmetric relation. Connectedness is determined by the existence of paths—sequences of adjacent vertices—where symmetry ensures paths are traversable in both directions; two vertices lie in the same if they are related by the of R, forming equivalence classes under this reachability relation. Cliques, as maximal complete subgraphs, correspond to maximal subsets of vertices inducing the full symmetric relation (minus diagonal), where every pair is adjacent. This framework extends to multigraphs and weighted graphs. In symmetric multigraphs, multiple edges between pairs are allowed while preserving undirected symmetry, generalizing the relation to a multiset of pairs. For weighted graphs, edges carry real-valued weights, represented by a symmetric weight where the entry w_{ab} = w_{ba} quantifies the 's strength, such as or capacity.

In Social Sciences

In , symmetric relations capture mutual ties such as or , where the between individuals is reciprocal and bidirectional, enabling the study of cohesive . These ties form the basis for , originally formulated by , which describes how interpersonal sentiments—positive or negative—tend toward structural in triadic configurations to minimize cognitive tension and promote in social groups. For instance, mutual in professional s reinforces by ensuring that positive relations align consistently across connected actors. Reciprocity in sociology highlights symmetric exchanges, particularly in practices like gift-giving, where the act of receiving imposes an obligation to return, creating balanced social bonds and alliances as detailed in Marcel Mauss's seminal work on archaic societies. This principle of balanced reciprocity underscores how symmetric interactions sustain long-term associations by equalizing obligations between parties, differing from one-sided transactions. A clear example appears in kinship systems, where the relation "cousin of" is inherently symmetric: if A is the of B, then B is the of A, allowing undirected representations of trees that emphasize mutual descent without directionality. Similar to everyday examples like siblings, this symmetry simplifies tracing relational equivalence in bilateral structures. In , symmetric attitudes in interpersonal relations involve mutual agreement or liking, fostering attraction and harmony through aligned orientations, as modeled in Newcomb's symmetry theory of co-orientation. This contrasts with asymmetric dynamics, where one individual's dominates, potentially leading to imbalance and tension in relationships. Empirical studies in sciences frequently assume in surveys to model relations as undirected networks for analytical simplicity, yet real-world data often necessitates checks for to distinguish directed influences from mutual ones.

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