Armstrong's axioms
Armstrong's axioms are a set of axioms (or, more precisely, inference rules) used to infer all the functional dependencies on a relational database. They were developed by William W. Armstrong on his 1974 paper.[1] The axioms are sound in that they generate only functional dependencies in the closure of a set of functional dependencies (denoted as F+) when applied to that set (denoted as F). They are also complete in that repeated application of these rules will generate all functional dependencies in the closure F+.
More formally, let <
(
),
> denote a relational scheme over the set of attributes
with a set of functional dependencies
. We say that a functional dependency
is logically implied by
,and denote it with
if and only if for every instance
of
that satisfies the functional dependencies in
, r also satisfies
. We denote by
the set of all functional dependencies that are logically implied by F.
Furthermore, with respect to a set of inference rules
, we say that a functional dependency
is derivable from the functional dependencies in
by the set of inference rules
, and we denote it by
if and only if
is obtainable by means of repeatedly applying the inference rules in
to functional dependencies in
. We denote by
the set of all functional dependencies that are derivable from
by inference rules in
.
Then, a set of inference rules
is sound if and only if the following holds:

that is to say, we cannot derive by means of
functional dependencies that are not logically implied by
. The set of inference rules
is said to be complete if the following holds:

more simply put, we are able to derive by
all the functional dependencies that are logically implied by
.
Contents |
[edit] Axioms
Let
(
) be a relation scheme over the set of attributes
. Henceforth we will denote by letters
,
,
any subset of
and, for short, the union of two sets of attributes
and
by
instead of the usual 
[edit] Axiom of reflexivity
If
, then 
[edit] Axiom of augmentation
If
, then
for any 
[edit] Axiom of transitivity
If
and
, then 
[edit] Additional rules
[edit] Union
If
and
then 
[edit] Decomposition
If
then
and 
[edit] Pseudo Transitivity
If
and
then 
[edit] External links
[edit] References
- ^ William Ward Armstrong: Dependency Structures of Data Base Relationships, page 580-583. IFIP Congress, 1974.
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