Pseudometric Spaces: What Are They and Why Are They Important in Mathematics?

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In summary: The nonstandard system font I use (apparently) doesn't define whatever characters you use in the editor interface buttons. They look like little rectangles with a unicode hex index inside.If > isn't okay, how should I indicate quoted text?By using the PF "Reply" feature, which it looks like you are doing okay with. Just don't add an extra character into the quote -- it should be the exact quote from the other person.
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Paige_Turner
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What is an example non-Riemannian pseudometric space that is not null or trivial?
I suspect you're not supposed to ask short questions here. Mine is in the summary.
 
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Various Finsler spaces? (Usually, Finsler metrics are positive definite, but you can have pseudometrics too.)
 
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  • #3
strangerep said:
Various Finsler spaces?
I never heard of Finsler spaces. Apparently they'e a superset of Riemannian space. But my question involved the latter.
 
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What do you understand by non-Riemannian pseudometric space?
 
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Paige_Turner said:
I never heard of Finsler spaces. Apparently they'e a superset of Riemannian space. But my question involved the latter.
Umm,... no,... your question involved non-Riemannian spaces.

A Finsler space whose fundamental function (squared) is quadratic in the velocities is Riemannian, but all other Finsler spaces are non-Riemannian.
 
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martinbn said:
> What do you understand by non-Riemannian pseudometric space?
I have no idea. It's not my concept. Someone somewhere said that the pseudometric spaces are a proper superset of the Riemannian spaces, but I don't know the difference, and I want to learn what the difference between he two is.

META: Someone asked me not to use the > character to indicate quoted text in replies.

The nonstandard system font I use (apparently) doesn't define whatever characters you use in the editor interface buttons. They look like little rectangles with a unicode hex index inside.

If > isn't okay, how should I indicate quoted text?
 
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Paige_Turner said:
If > isn't okay, how should I indicate quoted text?
By using the PF "Reply" feature, which it looks like you are doing okay with. Just don't add an extra character into the quote -- it should be the exact quote from the other person.

When you click-drag a section of another poster's text, then click "Reply", that creates the Quote Box with the other user's username and a little up-arrow that will take folks to the post that the quote came out of.
 
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Paige_Turner said:
I have no idea. It's not my concept. Someone somewhere said that the pseudometric spaces are a proper superset of the Riemannian spaces, but I don't know the difference, and I want to learn what the difference between he two is.
Since you're a relatively new PF user, I'll explain that "someone somewhere said" is a good way to get knowlegeable people here to become disinterested in your post.

A likely-more-successful way to get better answers would have been for you to first check what an ordinary Riemannian space is (e.g., on Wikipedia), and what a pseudometric is (also on Wikipedia or other sources available by googling). Similarly, if you google for "pseudo-Riemannian space" you'll get some other references. Then, if anything is still unclear, ask a more specific question here on PF, also mentioning which specific reference sources you have already consulted.
 
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I said I didn't remember where I read it.

If I had been talking about F=MA, I wouldn't have to cite that. Similarly, since this simple question is something that real physicists know, i thought that they would recognize it and just respond. If not, it isn't worth making a big deal about.

In any case, one would think you could ask a question here about something as abstract as pseudometric space without being required to say who asked it somewhere else or being told to go look up the answer.
 
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What is a Riemannian pseudometric space?

A Riemannian pseudometric space is a mathematical concept used in geometry and analysis to describe a space where distances between points are measured using a pseudometric, which is a function that satisfies all the properties of a metric except for the requirement that the distance between any two distinct points must be positive. This allows for the study of spaces with negative or zero distances between points.

What are the key properties of a Riemannian pseudometric space?

The key properties of a Riemannian pseudometric space include symmetry, non-negativity, and the triangle inequality. Symmetry means that the distance between any two points is the same regardless of the order in which they are considered. Non-negativity means that the distance between any two points is either zero or a positive value. The triangle inequality states that the distance between two points is always less than or equal to the sum of the distances between those points and a third point.

How is a Riemannian pseudometric space different from a metric space?

A Riemannian pseudometric space differs from a metric space in that the distance between two points can be zero or negative, whereas in a metric space, the distance between any two distinct points must be positive. Additionally, a Riemannian pseudometric space allows for the study of spaces with non-Euclidean geometries, while metric spaces are limited to Euclidean geometries.

What are some real-world applications of Riemannian pseudometric spaces?

Riemannian pseudometric spaces have applications in various fields such as physics, computer science, and economics. In physics, they are used to describe the curvature of spacetime in Einstein's theory of general relativity. In computer science, they are used in machine learning algorithms to measure the similarity between data points. In economics, they are used to model the relationships between different economic variables.

What are some common techniques used to study Riemannian pseudometric spaces?

Some common techniques used to study Riemannian pseudometric spaces include differential geometry, topology, and analysis. Differential geometry is used to study the geometric properties of these spaces, while topology is used to study their global structure. Analysis is used to study the behavior of functions on these spaces, such as the concept of differentiability.

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