How Does Affine Geometry Define the Join of Subspaces?

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In summary, affine geometry involves defining the smallest flat that contains two given flats using Zorn's lemma. This creates an upper semilattice structure in which the associated subspaces of the two given flats form the associated subspace of the smallest flat. However, the previous statement provided in the conversation is incorrect and can be corrected by using the formula A\vee B=a+(S_1+S_2+span\{b-a\}).
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mma
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http://planetmath.org/encyclopedia/AffineGeometry.html" writes:
In addition, we define [itex]A\vee B[/itex] to be the smallest flat in [itex]\mathcal{A}(V)[/itex] that contains both [itex]A[/itex] and [itex]B[/itex]. By Zorn's lemma, [itex]A\vee B[/itex] exists. Since [itex]A\vee B[/itex] is also unique, [itex]\vee[/itex] is well-defined. This turns [itex]\mathcal{A}(V)[/itex] into an upper semilattice. If [itex]S_1[/itex] is the associated subspace of [itex]A[/itex] and [itex]S_2[/itex] is the associated subspace of [itex]B[/itex], then [itex]\operatorname{span}(S_1\cup S_2)[/itex] is the associated subspace of [itex]A\vee B[/itex].

As far as I see, this is wrong. For example, let be [itex]V=\mathbb{R}^3[/itex], [itex]S_1=\{(x,0,0):x\in \mathbb{R}\}[/itex] , [itex]S_2=\{(0,y,0):y\in \mathbb{R}\}[/itex], [itex]A=(0,0,1)+S_1[/itex] and [itex]B=S_2[/itex]. Then [itex]A[/itex] and [itex]B[/itex] are skew lines, that is, there isn't any plane containing both line. While any flat with associated subspace [itex]\operatorname{span}(S_1\cup S_2)[/itex] is a plane.

Am I right? If yes, then what would be the correct statement here?
 
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  • #2
Hi mma! :smile:

Yes, as far as I can see, the last sentence is not correct. It can be corrected as follows: if A=a+S1 and B=b+S2, then

[tex]A\vee B=a+(S_1+S_2+span\{b-a\})[/tex]
 
  • #3
Yes, this seems better, thank you!
 

FAQ: How Does Affine Geometry Define the Join of Subspaces?

What is affine geometry?

Affine geometry is a branch of mathematics that studies geometric properties and transformations without using measurements such as distance and angles. It focuses on the relationships between points, lines, and planes, and how they can be transformed through translations, rotations, and reflections.

What is the difference between affine geometry and Euclidean geometry?

While both affine geometry and Euclidean geometry deal with points, lines, and planes, the main difference between them is that Euclidean geometry uses measurements such as distance and angles, while affine geometry focuses on the relationships between these objects without using measurements.

How is affine geometry used in real life?

Affine geometry has many practical applications, such as in computer graphics, computer vision, and robotics. It is also used in fields such as architecture, engineering, and physics to study the relationships between objects and their transformations.

What are some key concepts in affine geometry?

Some key concepts in affine geometry include affine transformations, affine spaces, and affine combinations. Affine transformations are transformations that preserve parallelism, ratios of distances, and lines of points. Affine spaces are sets of points that are closed under affine combinations, which are weighted averages of points.

Are there any famous mathematicians who contributed to affine geometry?

Yes, there are several famous mathematicians who have made significant contributions to affine geometry, including August Ferdinand Möbius, Julius Plücker, and Felix Klein. Other notable mathematicians who have studied affine geometry include Henri Poincaré, David Hilbert, and Hermann Weyl.

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