Coarse Graining: What Does It Mean?

  • Thread starter touqra
  • Start date
  • Tags
    Mean
In summary, "coarse graining" refers to a general idea that involves reducing or simplifying complex information into a smaller set of variables. This term is often used in fields such as image processing, thermodynamics, and black hole physics to describe the process of eliminating microscopic details in order to focus on more macroscopic aspects.
  • #1
touqra
287
0
I keep reading papers with the term "coarse graining". What does it mean?
An example of a paper having this term is hep-th/0504037.
 
Physics news on Phys.org
  • #2
touqra said:
I keep reading papers with the term "coarse graining". What does it mean?
An example of a paper having this term is hep-th/0504037.

http://arxiv.org/abs/hep-th/0504037

I hope you get several explanations from different people.

My understanding is that (although it can have precise technical meanings depending on context) the term expresses a GENERAL IDEA and the root analogy is with image processing.

in photography you can have fine grain film (small pixels) and coarse grain film (large pixels)
and you can take a finegrain image and progressively coarsen the grain

until finally it might look like one of those pictures made of greytone squares on a graphpaper grid. it can be so coarsegrained you can't recognize it except you hold it out some distance

As if you lay graphpaper tracing paper over something and in each square you average the greytone so it is uniform within that square
you end up with a crude matrix of numbers which tell the greyscale in each pixel

IN COARSEGRAINING SOME OF THE MICROSCOPIC INFORMATION IS ELIMINATED or averaged out so that you end up with MUCH FEWER NUMBERS DESCRIBING whatever it is.

So the ultimate coarsegraining in THERMODYNAMICS where you just know really gross degrees of freedom like "pressure" "temperature" "volume"
and you CANT SEE the antheap of activity inside the gas with all the molecules whizzing crazily around, all that microscopic information has been washed out or erased and summarized by 2 or 3 coarse variables.

And with a black hole the HORIZON does the coarsegraining for you because there may be millions of things happening inside related to gravitational collapse but you never see that, all you supposedly see is the area and temperature of the event horizon, and whatever diddly Hawking radiation is percolating out. it's very coarsegrain.
 
  • #3


Coarse graining refers to a method used in physics, mathematics, and other fields to simplify complex systems by grouping together smaller components into larger entities. This is done in order to reduce the complexity of a system and make it more manageable for analysis or simulation.

In the context of the paper hep-th/0504037, which is about quantum field theory, coarse graining is used to describe the process of averaging over small scale quantum fluctuations to obtain a more simplified and effective description of the system at larger scales. This is particularly useful in cases where the small scale fluctuations are not relevant to the overall behavior of the system.

In general, coarse graining involves identifying the relevant variables or parameters that describe the system at a certain scale, while ignoring or averaging out the details at smaller scales. This allows for a more efficient and practical analysis of complex systems, while still capturing the essential features and behavior.

In summary, coarse graining is a powerful tool for simplifying and understanding complex systems, and it is commonly used in various fields of science and engineering.
 

What is coarse graining and why is it important?

Coarse graining is a modeling technique in which a complex system is simplified by grouping together similar or related components. This allows for a more manageable and efficient analysis of the system. It is important because it allows scientists to understand the overall behavior of a system without getting lost in the details.

How is coarse graining used in different scientific fields?

Coarse graining is used in a variety of scientific fields, including physics, chemistry, biology, and materials science. In physics, it is used to model large-scale systems such as fluids or plasmas. In chemistry, it is used to study the behavior of molecules in a solution. In biology, it is used to understand complex biological systems such as proteins or cells. In materials science, it is used to study the behavior of materials at different length scales.

What are the limitations of coarse graining?

One limitation of coarse graining is that it can oversimplify a system, leading to inaccurate predictions. It also requires assumptions and approximations, which may not always hold true. Additionally, coarse graining can be subjective, as different scientists may choose to group and simplify components in different ways.

How is coarse graining different from other modeling techniques?

Coarse graining is different from other modeling techniques, such as atomistic modeling or continuum modeling, in that it operates at an intermediate length scale. It captures the important features of a system while still simplifying it enough to make analysis feasible. It also allows for the incorporation of experimental data, making it a more versatile tool for understanding complex systems.

What are some examples of coarse graining in action?

One example of coarse graining is the modeling of protein folding, in which the 3D structure of a protein is simplified to a series of simplified interactions between amino acids. Another example is the study of fluid dynamics, in which the behavior of a fluid is modeled at a larger scale by grouping together smaller fluid particles. Coarse graining is also used in the study of materials, such as polymers or crystals, where the behavior of individual molecules is simplified to describe the overall behavior of the material.

Similar threads

  • Atomic and Condensed Matter
Replies
0
Views
605
  • Beyond the Standard Models
Replies
2
Views
2K
Replies
1
Views
901
Replies
13
Views
2K
  • Beyond the Standard Models
Replies
19
Views
2K
  • Beyond the Standard Models
Replies
7
Views
545
  • Beyond the Standard Models
2
Replies
41
Views
9K
Replies
7
Views
650
  • Beyond the Standard Models
Replies
1
Views
2K
  • Atomic and Condensed Matter
Replies
1
Views
1K
Back
Top