Finding Distance Function with Increasing Outputs

In summary, for determining the distance from a certain point, a function should be used where the input values 'x' are from N (1,2,3,4,5...) and the corresponding outputs 'y' from R. The sequence 'y' should be increasing relative to 'x' and satisfy the condition y(1)=[y(2)-y(1)]=[y(3)-y(2)]>... for the first few values. Examples of functions that satisfy this include sqrt(x) and x^a, where 0 < a < 1. The derivatives of sqrt(x) will not work. To ensure these requirements are satisfied given a parameter 'k' corresponding to the number of 'first few
  • #1
onako
86
0
For determination of the distance from a certain point, a function should be used. Namely, the input values 'x' are from N (1,2,3,4,5...), and the corresponding outputs 'y' from R, but such that the sequence 'y' (relative to 'x') is increasing;

$y(1)<y(2)<y(3)<y(4)<...$ \\
but to satisfy \\
y(1)>[y(2)-y(1)]>[y(3)-y(2)]>[y(4)-y(3)]>...

The function that satisfies this is sqrt(x), but I'm interested in other possible functions that satisfy the above. The 'derivatives' of sqrt(x) should also work.

Thanks
 
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  • #2
Any function of the form xa, where 0 < a < 1. Also log(x).

Derivatives will not work. They are decreasing functions.
 
  • #3
I put 'derivatives' with '' emphasis, to differentiate it from real ones, but this is a language obstacle. What is meant is x^a, 0<a<1. I would like to hear more suggestions on these kind of functions. I supposed to test their behaviour and to select the most appropriate one.
Note that the condition
y(1)>[y(2)-y(1)]>[y(3)-y(2)]>[y(4)-y(3)]>...

is better to be
y(1)=[y(2)-y(1)]=[y(3)-y(2)]>... (or, for the first few, approximately equal might be appropriate, but
to satisfy the first criterion from my first post).

Any help is highly appreciated.
 
  • #4
You could be more specific as to what you have in mind by "most appropriate one".
 
  • #5
The most appropriate one would be the one satisfying the following:

1) y(1)<y(2)<y(3)<y(4)<...
2) y(1)=[y(2)-y(1)]=[y(3)-y(2)]>... first few '=' signs read as approximately equal. Possibly the number of
'few' should be determined by a parameter. Then [y(3)-y(2)]>[y(4)-y(3)]>... continues as usual.
Thanks
 
  • #6
Take any of the examples I provided to start after the "first few". Get the tangent line at some point near the beginning and use values along the tangent line for the first few. Finally add (or subtract) a constant to all terms to get y(1)=[y(2)-y(1)].
 
  • #7
Thanks.
How could I then ensure the requirements are satisfied given a parameter 'k' corresponding to 'first few'. In other words, if 'first few' is 40, and I use 'log(x+1)', how to proceed?
 
  • #8
Place the tangent line at x=40 and then add a constant to the whole thing so that the value at 1 is what you want.
 
  • #9
Thanks.
 

1. How is distance function with increasing outputs used in scientific research?

The distance function with increasing outputs is commonly used in scientific research to model and measure the relationship between two variables. It is particularly useful in studying the effects of increasing or decreasing one variable on another variable, and can provide valuable insights into the behavior of complex systems.

2. What is the purpose of finding the distance function with increasing outputs?

The main purpose of finding the distance function with increasing outputs is to better understand the relationship between two variables. This can help scientists to make predictions, identify patterns and trends, and gain a deeper understanding of the underlying mechanisms at play.

3. How is the distance function with increasing outputs calculated?

The distance function with increasing outputs is calculated by plotting the values of the two variables on a graph and identifying the slope of the resulting line. This slope represents the rate at which the output variable increases for every unit increase in the input variable.

4. Can distance function with increasing outputs be used to predict future outcomes?

Yes, the distance function with increasing outputs can be used to make predictions about future outcomes. By analyzing the relationship between the two variables, scientists can make informed predictions about how the output variable will change as the input variable increases.

5. How can distance function with increasing outputs be used to improve scientific understanding?

The distance function with increasing outputs is a powerful tool for improving scientific understanding because it allows for the identification of cause-and-effect relationships between variables. By analyzing the slope of the distance function, scientists can determine how changes in one variable affect the other and gain a deeper understanding of the underlying mechanisms at play.

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