vector lattice (original) (raw)

A vector sublattice is a subspace of a vector lattice that is also a sublattice.

Below are some properties of the join (∨) and meet (∧) operations on a vector lattice L. Suppose u,v,w∈L, then

1. 1. (u+w)∨(v+w)=(u∨v)+w
2. 1. u∧v=(u+v)-(u∨v)
3. 1. If λ≥0, then λ⁢u∨λ⁢v=λ⁢(u∨v)
4. 1. If λ≤0, then λ⁢u∨λ⁢v=λ⁢(u∧v)
5. 1. If u≠v, then the converse holds for 3 and 4
6. 1. If L is an ordered vector space, and if for any u,v∈L, either u∨v or u∧v exists, then L is a vector lattice. This is basically the result of property 2 above.
7. 1. (u∧v)+w=(u+w)∧(v+w) (dual of statement 1)
8. 1. u∧v=-(-u∨-v) (a direct consequence of statement 4, with λ=-1)
9. 1. (-u)∧u≤0≤(-u)∨u

Proof.

(-u)∧u≤u and (-u)∧u≤-u imply that 2⁢((-u)∧u)≤u+(-u)=0, so (-u)∧u≤0, which means 0≤-((-u)∧u)=u∨(-u). ∎ 10. 10.
(a∨b)+(c∨d)=(a+c)∨(a+d)∨(b+c)∨(b+d), by repeated application of 1 above.

Remark. The first five properties are also satisfied by an ordered vector space, with the assumptions that the suprema exist for the appropriate pairs of elements (see the entry on ordered vector space for detail).