What Happens When a Group Leaves a Subset of a Countably Infinite Set Stable?

In summary, if G\subset \textrm{End}(V), and W\subset V is a subspace of a finite dimensional vector space V, and somebody says "G leaves W stable", it means that G maps W to itself. This is similar to the statement "GW=W" but can also include the case where GW\subset W. This concept is related to stabilizers in groups and can be seen in the Banach-Tarski Paradox, where an infinite group can act on a countably infinite set and take a subset to a proper subset. One example of this is the hyperbolic plane.
  • #1
jostpuur
2,116
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If [itex]G\subset \textrm{End}(V)[/itex], and [itex]W\subset V[/itex] is a subspace of a vector space V, and somebody says "G leaves W stable", does it mean [itex]GW=W[/itex] or [itex]GW\subset W[/itex] or something else?
 
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  • #2
It means it maps W to itself.
 
  • #3
Finite dimensions

jostpuur said:
If [itex]G\subset \textrm{End}(V)[/itex], and [itex]W\subset V[/itex] is a subspace of a vector space V, and somebody says "G leaves W stable", does it mean [itex]GW=W[/itex] or [itex]GW\subset W[/itex] or something else?

Exercise: what can you say about these alternatives if V is finite dimensional?

If you read the "What is Information Theory?" thread: Exercise: suppose we have some infinite group G acting on some countably infinite set X. Suppose that for some [itex]A \subset X[/itex], some [itex]g \in G[/itex] takes [itex]A \mapsto B \subset A[/itex]. What is the corresponding statement about stabilizers? If you have read Stan Wagon, The Banach-Tarski Paradox, what does this remind you of? Can you now give a concrete example (with illustration) of this phenomenon? (Hint: hyperbolic plane.)
 

Related to What Happens When a Group Leaves a Subset of a Countably Infinite Set Stable?

What is "leaving vector space stable"?

"Leaving vector space stable" refers to the process of ensuring that a vector space remains unchanged after certain operations are performed on it.

Why is it important to leave vector space stable?

Leaving vector space stable is important because it allows for consistent and reliable mathematical calculations and ensures the integrity of the vector space.

What are some operations that can leave a vector space unstable?

Some operations that can leave a vector space unstable include addition or subtraction of vectors, multiplication by a scalar, and linear transformations.

How can one leave a vector space stable?

To leave a vector space stable, one can use techniques such as normalization, orthogonalization, and Gram-Schmidt process to ensure that the vector space remains unchanged after performing operations on it.

What are the real-world applications of leaving vector space stable?

Leaving vector space stable has applications in many fields such as physics, engineering, and computer science. It is used in areas such as image processing, data analysis, and machine learning to ensure accurate and consistent results.

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