Nondimensionalization and Scaling

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In summary, the conversation is about the concept of scaling and non-dimensionalization in mathematics, particularly in the context of water wave theory. The speaker mentions that non-dimensionalization involves removing dimensional quantities, while scaling helps determine relative sizes of terms in equations. The speaker also mentions a book that distinguishes between the two processes in a way that is confusing, and asks for clarification.
  • #1
hanson
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Hi all.
To me, scaling means adopting properly scales in nondimensionalization.
However, as I see in the book "A modern introduction to the mathematical theory of water waves" by R.S.Johnson, the author distinguish the two processes in a way that confuses me much. (Sec. 1.3.1 and 1.3.2)
Can someone who have used this book kindly help clarify the two things?
 
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  • #2
Hello,

I am not familiar with the book, but I believe non-dimensionalization literally gets rid of all dimensional quantities. So, you might write something like
x=Lx* where L is a typical length scale in the x direction and resplacing all your x' s by x* 's where x* is a non dimesional quantity since you have taken 10metres, say, and divided it by metres to just get 10.

Scaling on the other hand helps you get an idea of the relative sizes of terms so if you had something long in the x direction and short in the y direction you would write something like x=x* and y=epsilon y* where epsilon <<1 and plug this into your equations. You would then be able to see the relative sizes of terms with epsilons, epsilon^2 etc and maybe discard the highest order terms in epsilon if appropriate.

Hope this helps
 
  • #3


Nondimensionalization and scaling are two important concepts in mathematics and engineering that are often used together. Nondimensionalization is the process of removing units from a mathematical model or equation, making it easier to analyze and compare different systems. This is achieved by dividing all quantities in the model by a relevant characteristic quantity, such as the length or time scale of the system. Scaling, on the other hand, is the process of choosing appropriate scales for the nondimensionalized variables. This involves choosing values for the characteristic quantities that result in a simplified and more manageable equation.

In the context of water waves, Johnson's book distinguishes between the two processes by emphasizing that nondimensionalization is a mathematical procedure, while scaling involves physical considerations. In other words, nondimensionalization is a purely mathematical tool to simplify equations, while scaling takes into account the physical properties of the system being studied.

One way to understand this is by looking at an example. Let's say we have a mathematical model for the height of a water wave, which includes variables such as the wave amplitude, water depth, and gravitational acceleration. Nondimensionalization would involve dividing each of these variables by a relevant characteristic quantity, such as the water depth. This would result in a dimensionless equation, making it easier to analyze and compare different wave systems.

However, choosing the appropriate value for the water depth in this equation would require physical considerations. For example, if we are studying small ripples in a pond, the water depth would be much smaller compared to studying ocean waves. Therefore, the scale for the water depth would be different in these two cases, resulting in different nondimensionalized equations.

In summary, nondimensionalization and scaling are closely related but distinct processes. Nondimensionalization is a mathematical procedure to simplify equations, while scaling involves choosing appropriate scales for the variables based on physical considerations. Understanding the difference between these two processes is important in accurately studying and analyzing complex systems.
 

FAQ: Nondimensionalization and Scaling

What is nondimensionalization and why is it important in scientific research?

Nondimensionalization is the process of removing the units of measurement from a mathematical equation or model. It is important in scientific research because it allows for easier comparison and analysis of different systems and variables. It also helps to simplify equations and reduce the number of parameters, making them easier to solve.

How is nondimensionalization different from scaling?

While nondimensionalization removes units of measurement, scaling involves changing the magnitude of the variables in an equation or model. Scaling is often used to make a problem easier to solve or to represent a system in a more manageable way.

Can any equation or model be nondimensionalized?

In theory, any equation or model can be nondimensionalized. However, the process may not always be useful or necessary. It is typically used for equations that involve multiple variables and parameters.

What are the benefits of using nondimensionalization and scaling in scientific research?

There are several benefits to using nondimensionalization and scaling in scientific research. These include simplifying equations, making them easier to solve, and allowing for easier comparison and analysis of different systems. It also helps to identify the most important parameters and variables in a system.

Are there any limitations to nondimensionalization and scaling?

While nondimensionalization and scaling have many benefits, they also have some limitations. For example, they may not always accurately represent the physical reality of a system. Additionally, the process can be complex and time-consuming, and may not always lead to a clear solution.

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