Dependence relation

In mathematics, a dependence relation is a binary relation which generalizes the relation of linear dependence.

Let $X$ be a set. A (binary) relation $\triangleleft$ between an element $a$ of $X$ and a subset $S$ of $X$ is called a dependence relation, written $a \triangleleft S$, if it satisfies the following properties:

• if $a \in S$, then $a \triangleleft S$;
• if $a \triangleleft S$, then there is a finite subset $S_0$ of $S$, such that $a \triangleleft S_0$;
• if $T$ is a subset of $X$ such that $b \in S$ implies $b \triangleleft T$, then $a \triangleleft S$ implies $a \triangleleft T$;
• if $a \triangleleft S$ but $a \not\!\triangleleft S-\lbrace b \rbrace$ for some $b \in S$, then $b \triangleleft (S-\lbrace b \rbrace)\cup\lbrace a \rbrace$.

Given a dependence relation $\triangleleft$ on $X$, a subset $S$ of $X$ is said to be independent if $a \not\!\triangleleft S - \lbrace a \rbrace$ for all $a \in S.$ If $S \subseteq T$, then $S$ is said to span $T$ if $t \triangleleft S$ for every $t \in T.$ $S$ is said to be a basis of $X$ if $S$ is independent and $S$ spans $X.$

Remark. If $X$ is a non-empty set with a dependence relation $\triangleleft$, then $X$ always has a basis with respect to $\triangleleft.$ Furthermore, any two bases of $X$ have the same cardinality.

Examples

• Let $V$ be a vector space over a field $F.$ The relation $\triangleleft$, defined by $\upsilon \triangleleft S$ if $\upsilon$ is in the subspace spanned by $S$, is a dependence relation. This is equivalent to the definition of linear dependence.
• Let $K$ be a field extension of $F.$ Define $\triangleleft$ by $\alpha \triangleleft S$ if $\alpha$ is algebraic over $F(S).$ Then $\triangleleft$ is a dependence relation. This is equivalent to the definition of algebraic dependence.

See also

• matroid

This article incorporates material from Dependence relation on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.