Sum of Two Subspaces and lub - Roman, Chapter 1, page 39

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The discussion centers on the concept of the sum of two subspaces and the least upper bound (lub) as described in Steven Roman's "Advanced Linear Algebra," specifically in Chapter 1. The sum of a collection of subspaces is defined as the minimal subspace that contains all summands, which is also the least upper bound under set inclusion. The proof involves demonstrating that any vector formed by the sum of elements from two subspaces is contained within any larger subspace that includes both summands. The discussion also introduces the concept of lattices in the context of algebraic structures, highlighting their relevance to vector spaces.

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I am reading Steven Roman's book, Advanced Linear Algebra and am currently focussed on Chapter 1: Vector Spaces ... ...

In discussing the sum of a set of subspaces Roman writes (page 39) ...View attachment 5176In the above text, Roman writes:

" ... ... It is not hard to show that the sum of any collection of subspaces of V is a subspace of V and that the sum is the least upper bound under set inclusion ... ... "My questions are as follows:

1) What does Roman mean by the least upper bound of a set of subspaces ... ..

and

2) How do we show that the sum of a collection of subspaces is the lub under set inclusion ...Hope someone can help ...

Peter
 
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Hi Peter,

1) It means that the sum is the minimal subspace that contains all its summands, i. e., it is contained in any other subspace containing that summands.

About 2), a vector $v$ in $S+T$ can be written as $v=s+t$ with $s\in S, t\in T$.
If i have a subspace containing $S$ and $T$, say $W$, since it is closed under addition it must contain any vector of the form $s+t$ with $s\in S$ and $t\in T$.

That's the main idea behind the proof, try to extend it to general sums.
 
There are certain ideas you are dancing around-perhaps it is time to dive in:

With many kinds of algebraic objects (including: Sets, Groups, Abelian Groups, Rings, Field extensions of a fixed field, $R$-modules, Vector spaces, and Associative Algebras-but this list is not exhaustive) the collection of subobjects forms a LATTICE.

A lattice is a partially-ordered set in which every pair of elements have a (uniquely defined) meet, and join. Meet and join take different "forms" in different lattices, many of which you will recognize:

In the lattice of natural numbers, ordered by divisibility, "meet" is the gcd, and "join" is the lcm.

In the lattice of the power set of a set $S$, $2^S$, ordered by inclusion, meet is intersection, and join is union.

In the lattice of subspaces of a given vector space $V$, meet is intersection, and join is sum.

Some other interesting lattices can be found here: https://en.wikipedia.org/wiki/Lattice_(order)

A generalized meet is often called a greatest lower bound, and a generalized join a least upper bound.
 

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