Does Closure Under Multiplication in One Subspace Imply the Same for Another?

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Discussion Overview

The discussion revolves around the implications of closure under multiplication in one subspace of a finite-dimensional vector space on the closure of another subspace. Participants explore this concept within the context of bilinear products and subalgebras, considering both general cases and specific examples.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Exploratory

Main Points Raised

  • One participant posits that if a subspace ##U## is closed under a bilinear product, it does not necessarily imply that another subspace ##W## is also closed under the same product.
  • A counterexample is provided, illustrating that closure in ##U## does not guarantee closure in ##W##, using specific matrices to demonstrate the point.
  • Another participant acknowledges the counterexample and suggests exploring the concept of "product of two subspaces," noting that in the example, the product leads to a nilpotent structure.
  • Further exploration is proposed to find a counterexample where the closure of a subspace under multiplication equals the subspace itself, raising questions about the nature of multiplication and its implications.

Areas of Agreement / Disagreement

Participants express disagreement regarding the implications of closure under multiplication, with one participant providing a counterexample that challenges the initial assumption. The discussion remains unresolved as participants explore further possibilities and examples.

Contextual Notes

The discussion highlights the dependence on specific definitions and the nature of the bilinear product, as well as the limitations of the examples provided in demonstrating broader principles.

mnb96
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Hi,

consider a (finite dimensional) vector space ##V=U\oplus W##, where the subspaces ##U## and ##V## are not necessarily orthogonal, equipped with a bilinear product ##*:V\times V \rightarrow V##.

The subspace ##U## is closed under multiplication ##*##, thus ##U## is a subalgebra of ##V##.

Does this imply that also ##W## is a subalgebra of ##V##?

(Note, I can already prove the special case that if U and W are orthogonal, then both U and W are indeed subalgebras).
 
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mnb96 said:
Hi,

consider a (finite dimensional) vector space ##V=U\oplus W##, where the subspaces ##U## and ##V## are not necessarily orthogonal, equipped with a bilinear product ##*:V\times V \rightarrow V##.

The subspace ##U## is closed under multiplication ##*##, thus ##U## is a subalgebra of ##V##.

Does this imply that also ##W## is a subalgebra of ##V##?

(Note, I can already prove that if U and W are orthogonal, then both U and W are indeed subalgebras, but I am interested in the general case).
Just as a side note: orthogonal doesn't make sense, as long as you don't specify the quadratic form and the field. Vector spaces in general don't automatically allow inner products.

The answer to your question is no. Example:
##h=\begin{bmatrix}1&0\\0&-1\end{bmatrix}\; , \;x=\begin{bmatrix}0&1\\0&0\end{bmatrix}\; , \;y=\begin{bmatrix}0&0\\1&0\end{bmatrix}## with ##V=\operatorname{span}_\mathbb{F}\{\,h,x,y\,\}\; , \;U=\mathbb{F}\cdot h\; , \; W=\operatorname{span}_\mathbb{F}\{\,x,y\,\}##. With the multiplication ##v*w= v\cdot w - w \cdot v## we have ##h*h=0\in U## and ##x*y=h \notin W##.

Edit: Typo corrected. ##h_{21}=0## not ##1##.
 
Last edited:
Hi fresh_42,

you gave a very interesting counterexample of my statement that is actually too inspiring to close the discussion here :)

In fact, let's define the "product of two subspaces" as ##UV=\left \{uv\;|\; u\in U, \, v\in V \right \}##, and notice that in your construction ##H^2=0##. In other words, ##H## (as a set) acted as a nilpotent w.r.t. the product.

I am wondering if it is possible to find a similar counterexample, in which ##H^2=H##, i.e. the closure of ##H## w.r.t. the product is ##H## itself.
 
mnb96 said:
Hi fresh_42,

you gave a very interesting counterexample of my statement that is actually too inspiring to close the discussion here :)
It is the Lie algebra ##\mathfrak{sl}(2)## with ##.*. =[.,.]## as Lie multiplication.
In fact, let's define the "product of two subspaces" as ##UV=\left \{uv\;|\; u\in U, \, v\in V \right \}##, and notice that in your construction ##H^2=0##. In other words, ##H## (as a set) acted as a nilpotent w.r.t. the product.
What does "as a set" mean? ##H=h\cdot \mathbb{F}\,##? That's the heritage of the Lie algebra structure, where ##[X,X]=X*X=0## holds for any element.
I am wondering if it is possible to find a similar counterexample, in which ##H^2=H##, i.e. the closure of ##H## w.r.t. the product is ##H## itself.
We don't have any restrictions for the multiplication. So we can simply define a multiplication by ##A^2=A## and leave all other as they are: ##H*X=2X, H*Y=-2Y,X*Y=H##. I don't see any obvious reasons, why this shouldn't work. However, to find a realization by matrices or similar could take a moment, at least if we don't want to use the tensor algebra and its universal property. I would look among genetic algebras for an example.
 

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