Why Use 'Singular' to Describe Singular Simplex?

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In summary, the use of the term "singular" to describe singular simplex is related to its deviation from the usual or expected definition of a simplex. In contrast to simplicial homology, where actual simplices are the objects of interest, singular homology focuses on continuous images of simplices, which can be very degenerate and not resemble a simplex at all. There is no direct relation between singular matrices and singular simplices, unless one considers the Jacobian of a degenerate simplex represented by a differentiable map.
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Why do we use the term "singular" to describe singular simplex? Are there any relations between singular matrix (or singular point)and singular simplex?
 
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I ran a google search for singular and found http://www.thefreedictionary.com/singular. Definitions 3 and 4 read

3. Being beyond what is ordinary or usual; remarkable.
4. Deviating from the usual or expected; odd. See Synonyms at strange.

and I believe it is the meaning appropriate for "singular simplex". Indeed, whereas in simplicial homology, the objects of interest are actual simplices (the n-dimensional generalisation of a triangle), in singular homology, the objects of interest are merely continuous images of simplices. In particular, these images may be very degenerate (a point for instance) and not resemble a simplex at all. That is, they may deviate from what is expected of something called a simplex.
 
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To answer the other question, singular matrices and singular simplices have nothing to do with each other, unless you really stretch :)

(The big stretch: if you have a degenerate simplex in the top dimension represented by a differentiable map, its Jacobian would be singular)
 
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Thank for your replies.
 
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The term "singular" is used to describe singular simplex because it refers to a geometric object that has a unique and simple structure. In mathematics, a simplex is a geometric figure with a minimal number of vertices, which can be thought of as the simplest form of a polytope. The term "singular" is used to emphasize the simplicity and uniqueness of the simplex.

There is a relation between singular matrix (or singular point) and singular simplex, as both refer to a state of being unique and simple. A singular matrix is a square matrix that does not have an inverse, meaning it cannot be inverted to obtain a unique solution. Similarly, a singular point is a point in a geometric figure that has no neighbors, making it a unique and simple point. In both cases, the term "singular" is used to describe the unique and simple nature of the object.
 

FAQ: Why Use 'Singular' to Describe Singular Simplex?

What is a singular simplex?

A singular simplex is a geometric object that is formed by the convex hull of a set of points. It is called singular because it has a unique point, called the apex, which is not contained in any lower-dimensional face of the simplex.

What are the properties of a singular simplex?

A singular simplex has several important properties, such as being convex, having a unique apex, and having a unique set of vertices. It also has a well-defined volume and is useful in numerical analysis and computational geometry.

What are some applications of singular simplices?

Singular simplices have various applications in fields such as computer graphics, computer vision, and data analysis. They are also used in finite element methods for solving partial differential equations and in topological data analysis.

How is a singular simplex different from a regular simplex?

A regular simplex is a special case of a singular simplex where all the points are equidistant from each other. A singular simplex, on the other hand, can have points at different distances from each other, and it has a unique apex, unlike a regular simplex which has no apex.

What are some challenges when working with singular simplices?

One of the main challenges when working with singular simplices is the computation of their volume, as it requires complex mathematical algorithms. Another challenge is the representation of singular simplices in higher dimensions, which can be difficult to visualize and manipulate.

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