Sets and Fields
The set notation linear algebra is written in, and the field axioms its scalars must satisfy. Which familiar systems are fields, which fail and at which axiom, and what every result that says "over a field" is actually assuming.
Definition
Sets. A set is a collection determined by its members:
The operations are union
Fields. A field is a set
| Addition | Multiplication | |
|---|---|---|
| Closure | ||
| Associativity | ||
| Commutativity | ||
| Identity | ||
| Inverses |
together with distributivity,
The asymmetry is deliberate and is where most failures occur: every element has an additive inverse, but only the nonzero elements are required to have multiplicative inverses. Zero never has one, since
Consequences. From the axioms alone: the identities
Why linear algebra says "over a field". A vector space is defined over a field: the scalars are field elements, and the space axioms use the field axioms directly. Division by a nonzero scalar, normalising a vector, dividing by a pivot, scaling an eigenvector, is multiplication by
Assumptions and scope
Multiplicative inverses are required only for nonzero elements. Demanding one for
makes the axioms inconsistent, since for every. The requirement
excludes the one-element set. Without itwould satisfy every other axiom and would be a field in which every vector space is trivial. Closure is necessary but nowhere near sufficient.
is closed under both operations and fails only at multiplicative inverses; is closed under both and fails at additive inverses too. A field has no zero divisors, but the converse does not hold:
has none and is still not a field. An integral domain is the weaker structure. is a field exactly when is prime. For composite the factors of are nonzero elements whose product is . Ordering is not a field axiom.
is a field with no order compatible with its arithmetic, which is why complex numbers can be added and divided but not compared.
Worked material
Non-example
Structures that fail, and exactly where
Each of these satisfies most of the axioms. Naming the one that fails, and the element witnessing it, is the whole exercise.
and two nonzero elements have multiplied to zero. Neither can have an inverse: if
The set of
Closure is present in all five. It is the cheapest axiom and it decides nothing on its own. The failures live in the inverses, in commutativity, or in the requirement that the two identities be distinct.
Example
Fields of four different kinds
which is defined precisely because
| 1 | 2 | 3 | 4 | |
|---|---|---|---|---|
| 1 | 3 | 2 | 4 |
Checking:
for instance
and multiplying back returns exactly
These five differ in size, in whether they are ordered, and in whether polynomials split, and all satisfy the same seven axioms. That is what makes results stated "over a field" useful: they hold for every one of them at once.
Contrast
Integers against rationals, and against
Two pairs, each differing in one axiom, which isolates what that axiom does.
| Closure, associativity, commutativity, distributivity | ✓ | |
| Identities | ✓ | |
| Additive inverses | ✓ | |
| Multiplicative inverses for | ✗ ( | ✓ |
| Zero divisors | none | none |
One axiom apart. The consequence for linear algebra is concrete: over
Note that
| Size | 5 | 6 |
| Modulus | prime | composite, |
| Nonzero elements with inverses | all four: | only |
| Elements without | none | |
| Zero divisors | none | |
| A field? | yes | no |
The two are built by the same construction and differ only in the modulus. In
Primality of the modulus is not an extra condition bolted onto the definition. It is exactly the condition under which no element shares a factor with
A caution about size. Finiteness is not the obstruction.
Common errors
Common misconception
A set closed under addition and multiplication is a field, so
Related units
Connected
- Vector Spaces and Subspaces (related)
- Basis and Dimension (related)
- Diagonalization (related)
- Matrix Inverses and Elementary Matrices (related)
- Complex Numbers (related)