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

In summary: The main idea behind the proof is to use the distributive law for sums, and the fact that the sum of a closed set is itself closed.Here is a brief explanation of the proof:The proof is very short, and relies on a few properties of sets and lattices.In summary, Peter, Steven Roman's book, Advanced Linear Algebra, covers the concept of sum of a set of subspaces. He explains that the sum is the minimal subspace that contains all its summands, and that the proof relies on the distributive law and the fact that the sum of a closed set is itself closed.
  • #1
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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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  • #2
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.
 
  • #3
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.
 

1. What are subspaces?

Subspaces are subsets of a vector space that maintain the properties of a vector space, such as closure under addition and scalar multiplication.

2. How do you find the sum of two subspaces?

To find the sum of two subspaces, you can add all possible combinations of vectors from both subspaces. This will result in a new subspace that contains all the vectors from both original subspaces.

3. Can the sum of two subspaces be larger than the original vector space?

No, the sum of two subspaces will always be a subspace of the original vector space. It cannot be larger because it must maintain the properties of a vector space.

4. What is the lub in "Sum of Two Subspaces and lub"?

The lub stands for "least upper bound" and it refers to the smallest subspace that contains both of the original subspaces.

5. Why is the lub important in the sum of two subspaces?

The lub is important because it is the smallest subspace that contains both of the original subspaces. It allows us to find the smallest subspace that can be created from the combination of two subspaces.

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