Chiral symmetries in E[SUP]^n[/SUP]

In summary: This is because chirality, or handedness, is a property that depends on the specific geometry being used. In summary, the concept of chirality applies to both 2D and 3D geometries, as well as higher dimensions, and can be seen in figures and molecules that cannot be superimposed with their mirror images. In Euclidean spaces, these mappings are reflections, while in other geometries they can be more complex.
  • #1
Mark Harder
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As a biochemist, I deal with chirality of molecules all the time. If you have a tetrahedral molecule, for example a carbon atom, and all 4 vertices are labeled differently, as in different atoms on each one, then that molecule has a mirror-symmetric one that cannot be superimposed on the original. This makes a big difference when it comes to binding of small chiral molecules to big ones, esp. enzymes. What about 2-D geometry? Are there figures, triangles for example, that are mirror-asymetric? The answer is yes, provided they are confined to the plane they are in. Flipping over is not an allowed move, since the triangles are confined to E^2.
Try it. Draw a triangle with each side of a different length. Draw a straight line parallel to one of the edges (not necessary, but it makes visualizing easier) and outside the triangle. Now 'reflect' the triangle about this 1-D 'mirror', i.e. draw a triangle with vertices at the same distances from the mirror as the original. Now try to mentally rigidly rotate and translate the triangles so that they superimpose. You can't do it (without breaking the law and rotating in the 3rd dimension.) This is a 2D analog of 3D chiral figures and 2D mirrors. Not that the angles (disregarding their directions) and included sides are the same, satisfying Euclid's definition of congruency.
Now try the 1D case. Draw a directed line segment on the number line. Locate a point (a 0-D figure) on the line outside the directed segment and 'reflect' the directed segment about the point. The result will be a directed line segment pointed in the opposite direction from the original - a 1-D, 0-D analog of higher dimensions. Obviously, there is no example for 0-D figures.
So, my question is, can these examples be extended to higher dimensions? To n-D Euclidean spaces in general? What about other geometries?
 
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  • #2
The mappings from [itex]\mathbb{R}^n[/itex] to itself which preserve the euclidean inner product are [itex]x \mapsto Ax + b[/itex] where [itex]A^{-1} = A^T[/itex], so [itex]|\det A| = \pm 1[/itex]. Those with [itex]\det A = -1[/itex] are reflections, which require "flipping" in an additional dimension.

In more general geometries, you can have distance- and angle-preserving mappings, which will either preserve orientation or reverse it.
 

FAQ: Chiral symmetries in E[SUP]^n[/SUP]

What are chiral symmetries?

Chiral symmetries refer to symmetries that involve mirror images or reflections. In mathematics, this concept is often applied to the study of shapes and their symmetries in higher-dimensional spaces, such as E[SUP]^n[/SUP].

Why are chiral symmetries important in E[SUP]^n[/SUP]?

Chiral symmetries play an important role in understanding the structure and properties of objects in higher-dimensional spaces. They can also help us classify and identify different types of shapes and patterns in these spaces.

How do chiral symmetries differ from other types of symmetries?

Chiral symmetries are unique in that they involve mirror images or reflections, while other types of symmetries, such as rotational or translational symmetries, do not. This makes chiral symmetries particularly useful in studying shapes and patterns in E[SUP]^n[/SUP].

Can chiral symmetries be observed in the real world?

Yes, chiral symmetries can be observed in the real world. For example, certain molecules in chemistry exhibit chiral symmetries, and these symmetries can have important implications for their properties and interactions.

How are chiral symmetries used in practical applications?

Chiral symmetries have many practical applications, including in chemistry, physics, and engineering. They can help us understand and predict the behavior of complex systems, and can also be used in the design and analysis of structures and materials in various industries.

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