Topological properties on Linear spaces

In summary, the conversation discusses the idea of working with a linear space whose subspaces are considered as open subsets of the linear space when it is considered as a topological space. However, it is mentioned that the subspaces of a vector space do not form a topology due to the axioms of a topological space not being satisfied. The conversation also mentions the possibility of constructing a linear space as a topological space, but it is noted that this particular choice of open sets would not work. The conversation suggests looking into other topologies, such as the Zariski topology, where the closed sets are the zero sets of a system of polynomials.
  • #1
de_brook
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Is it reasonable to work with a linear space whose subspaces are considered as open subsets of the linear space when the linear space is considered as a topological Space? Actually, this linear space is spanned by a topological space with known topology.
 
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  • #2
The subspaces of a vector space do not form a topology because they do not satisfy the axioms of a topological space: The empty set is not a subspace (subspaces have to contain 0) and the union of subspaces is not a subspace in general.

You may want to read http://en.wikipedia.org/wiki/Topological_vector_space" which describes the topologies one usually considers on a vector space.

Somewhat related to your idea is the http://en.wikipedia.org/wiki/Zariski_topology" , where the closed sets are the zero sets of a system of polynomials (vector subspaces are a special case).
 
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  • #3
can't we make a linear space a topological space by construction, since we know that every non empty set can be made a topological space. ofcourse a linear space can never be empty for it contain the zero vector. Please still consider my question above, because i am really working on it
 
  • #4
There are many ways in which a vector space can be equiped with a topology, I was just saying that your particular choice of open sets would not work. Of course one can choose a topology where the subspaces are open sets, for example the topology of all subsets, but this is not a very interesting topology.
 

1. What is a linear space?

A linear space, also known as a vector space, is a mathematical structure that consists of a set of elements called vectors, which can be added together and multiplied by scalars (usually real or complex numbers). The set of vectors must follow certain rules, such as closure under addition and scalar multiplication, to be considered a linear space.

2. What are topological properties on linear spaces?

Topological properties on linear spaces refer to the characteristics of a linear space that are related to its topology, or the way its elements are connected or related to each other. These properties include concepts such as continuity, compactness, and connectedness, which can help us understand the structure of a linear space and how its elements behave.

3. How are topological properties on linear spaces useful?

Topological properties on linear spaces are useful because they allow us to study the behavior and relationships between elements in a linear space in a more abstract and general way. This can help us make connections and draw conclusions about linear spaces that may not be immediately obvious from their specific definitions or structures.

4. What are some examples of topological properties on linear spaces?

Some examples of topological properties on linear spaces include compactness, which is the property of a linear space that allows it to be contained in a finite or bounded region; connectedness, which describes how the elements of a linear space are connected to each other; and Hausdorffness, which is a property that ensures that distinct points in a linear space can be separated from each other by open sets.

5. Are all linear spaces also topological spaces?

No, not all linear spaces are topological spaces. While all topological spaces are linear spaces, the reverse is not true. A linear space must have certain properties, such as closure under addition and scalar multiplication, to be considered a linear space. A topological space, on the other hand, only needs to have a set of points and a collection of open sets with certain properties to be considered a topological space.

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