Neglecting High-Order Terms in R: Tips & Tricks

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In summary, the conversation discusses order notation and the use of 'little o' notation to simplify the expression 'terms of order O(R^{-Y}) where Y>1 are neglected'. The speaker also suggests writing it in terms of accepted orders instead.
  • #1
Juggler123
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Hi,

Is there a better way to write this?

'terms of order [itex]O(R^{-Y})[/itex] where [itex]Y>1[/itex] are neglected'

I feel like this is a bit clumsy.

Thanks for the help!
 
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  • #3
Yeah that's correct, if I am understanding little 'o' notation correctly I believe it's equivalent to write:

'terms of order [itex]o(R^{-1})[/itex] are neglected'
 
  • #4
It is simpler to write it in terms of what orders you will accept.
Note, you wanted Y>1, so Y=1 (order -1) was accepted.

Take terms in (1/R) to 1st order.
 
  • #5


I completely understand the importance of clear and concise language in scientific writing. In this case, I would suggest rephrasing the statement to something like: "Terms with orders greater than R^{-Y} (where Y>1) are disregarded." This removes the use of the word "neglected" and instead focuses on the specific terms that are being disregarded. Another option could be: "Terms with orders higher than R^{-Y} (where Y>1) are omitted." Overall, the key is to clearly convey the idea that certain terms are not being included in the analysis due to their high order. I hope this helps!
 

FAQ: Neglecting High-Order Terms in R: Tips & Tricks

What are high-order terms in R?

High-order terms in R refer to mathematical expressions in a function or equation that have a higher degree than the dominant term. These terms may have a smaller impact on the overall result of the function and can be neglected in some cases.

Why do we sometimes neglect high-order terms in R?

Neglecting high-order terms can simplify the calculation process and make it easier to understand the behavior of a function. It also allows for quicker computation and can help avoid potential errors caused by rounding or approximation.

How do we determine which high-order terms to neglect in R?

The decision to neglect high-order terms in R depends on the specific problem at hand and the level of accuracy required. Generally, if the high-order terms are significantly smaller than the dominant term, they can be safely neglected without greatly affecting the overall result.

Are there any risks associated with neglecting high-order terms in R?

In some cases, neglecting high-order terms can lead to a loss of precision in the final result. It is important to carefully consider the impact of neglecting these terms and determine if the simplified calculation is still accurate enough for the intended purpose.

Are there any tips or tricks for effectively neglecting high-order terms in R?

One tip is to use the notation of "big O" or "little o" to represent the relative size of high-order terms. This can help in identifying which terms can be safely neglected. Additionally, it is important to always double-check the final result and consider the level of precision needed for the specific problem.

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