Reasons for 1D Time vs 2D Time: Metrics Explained

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In summary, the conversation discusses the concept of metrics and how they relate to the dimensionality of space and time. It is mentioned that having two timelike dimensions could result in closed timelike curves and a lack of causality. Additionally, the idea of defining null paths with multiple "times" is brought up.
  • #1
Dmitry67
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Metrics, +++- vs +++--

There are reasons why our space is 3D. In 2D all systems are bound, in 4D they are unstable.

What 'reasons' are for having 1D time vs 2D time? I don't want to go deep into the AP stuff; just may some constraints one might know like 'Maxwell equation won't be consistent' etc.
 
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With 2 timelike dimensions you could have closed timelike curves even in flat spacetime. I don't think we would have causality in such a universe.
 
  • #3


hm, interesting, you're right.
Yes, if there are 2 "times", t and u, then null path can be defined as
s^2 = t^2 where u=0 for example,
which makes lightspeed 'instantaneous' in some directions of time.
 

FAQ: Reasons for 1D Time vs 2D Time: Metrics Explained

What is the difference between 1D time and 2D time?

1D time refers to a linear concept of time, where events occur one after the other in a single dimension. 2D time, on the other hand, adds a second dimension by considering the duration of events as well.

Why is it important to understand the difference between 1D time and 2D time?

Understanding the difference between 1D time and 2D time is crucial in accurately measuring and analyzing data. It allows us to capture more information about events and their durations, which can lead to better insights and decision making.

What are some metrics used to measure 1D time?

Some common metrics used to measure 1D time include clock time (e.g. seconds, minutes, hours), calendar time (e.g. days, weeks, months), and event count (e.g. number of occurrences).

What are some metrics used to measure 2D time?

Metrics used to measure 2D time include duration (e.g. how long an event lasts), frequency (e.g. how often an event occurs), and intensity (e.g. the strength or impact of an event).

How can understanding 1D time vs 2D time benefit scientific research?

By understanding 1D time vs 2D time, scientists can better analyze and interpret data, leading to more accurate and meaningful results. It also allows for a more comprehensive understanding of events and their impact, leading to potential breakthroughs in various fields of study.

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