Expressions of ##log(a+b), tan^{-1}(a+b),sin^{-1}(a+b)##,etc

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Discussion Overview

The discussion revolves around the approximations for the expressions of logarithmic and trigonometric functions, specifically ##log(a+b)##, ##tan^{-1}(a+b)##, and ##sin^{-1}(a+b)##. Participants explore the conditions under which these approximations hold, their accuracy, and the mathematical reasoning behind them.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents approximations for ##log(a+b)##, ##tan^{-1}(a+b)##, and ##sin^{-1}(a+b)##, suggesting that the right-hand side represents the average value of ##f(2x)## between ##x=a## and ##x=b##.
  • Another participant agrees that the approximations are valid when ##a## and ##b## are nearby on the real line, though they cannot specify the exact range of proximity.
  • A participant proposes a power series expansion approach to analyze the accuracy of the logarithmic approximation, suggesting to express the complete formula as a power series in terms of ##x = b - a##.
  • Several participants discuss the intuitive reasoning behind using the average value of the function over the interval ##[2A,2B]##, noting that even if ##A## and ##B## are not equal, the average still justifies the approximation.
  • One participant mentions that for large values of ##a## and ##b##, the arctangent approximation is accurate up to terms of order ##(a + b)^{-3}##, while deviations appear in higher orders related to ##(b - a)##.
  • Another participant expresses curiosity about the practical applications of these approximations, indicating a desire to explore their usefulness.

Areas of Agreement / Disagreement

Participants generally agree that the approximations are valid under certain conditions, particularly when ##a## and ##b## are close together. However, there is no consensus on the exact conditions or limitations of these approximations, and multiple viewpoints regarding their accuracy and applicability remain present.

Contextual Notes

Participants note that the accuracy of the approximations may depend on the specific values of ##a## and ##b##, as well as the behavior of the functions being approximated. There are unresolved mathematical steps and assumptions regarding the ranges of ##a## and ##b## that affect the validity of the approximations.

Who May Find This Useful

This discussion may be of interest to those studying mathematical approximations, particularly in the context of logarithmic and trigonometric functions, as well as those exploring the behavior of functions in calculus.

Kumar8434
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Hi, I got these:
$$log(a+b)\approx \frac{b*logb-a*loga}{b-a} + log2 -1$$
$$tan^{-1}(a+b)\approx \frac{b*tan^{-1}2b-a*tan^{-1}2a+\frac{1}{4}*ln\frac{1+4a^2}{1+4b^2}}{b-a}$$
$$sin^{-1}(a+b)\approx \frac{b*sin^{-1}2b-a*sin^{-1}2a+\frac{1}{2}*(\sqrt{1-4b^2}-\sqrt{1-4a^2}}{b-a}$$

And, similarly for ##sec^{-1}(a+b)##, ##cosec^{-1}(a+b)##, ##cot^{-1}(a+b)##, etc.
So, you see that the RHS in each of these expressions is the average value of ##f(2x)## between x=a and x=b, i.e. $$\frac{\int_a^bf(2x)dx}{b-a}$$
So, for what values of ##a## and ##b## do these approximations hold good? I checked that these had great accuracy for some pairs I put in my calculator but not so good for others.
 
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I think these formulas are good approximations if b and a are nearby in the real line. Cant exactly define how much nearby they should be.
 
Delta² said:
I think these formulas are good approximations if b and a are nearby in the real line. Cant exactly define how much nearby they should be.
How does this work?
 
For the log case, I 'd write
b = a + x
so
b.logb = (a + x).log(a + x) =
(a + x).log( a.(1 + x/a) )
(a + x).( loga + log(1 + x/a) )
≈(a + x).(loga + x/a + . . . )
where I've started an expansion of the second log assuming -1 <x/a <1 .
In this way express your complete formula as a power series in x.

Then do the same for log (a + b) = log(2a + x)
= log( 2a.(1+x/2a) )
≅log(2a) + x/2a + . . .

Compare the results, to see in which power of x = b - a the two expressions differ. A similar approach should work for your other formulae.
 
Here's an intuitive way to look at the situation. If ##A## and ##B## are nearly equal then ##A+B \approx 2A \approx 2B##. So a crude approximation is ##f(A+B) \approx f(2A) \approx f(2B)## Instead of using one of those crude approximations, we could use the "average" value of ##f## over the interval ##[2A,2B]##.

That would be ## f(A+B) \approx m = \frac{ \int_{2A}^{2B} f(u) du} {2B- 2A} ##.

Making the change of variable ##2x = u## the integration becomes ##m = \frac{ 2 \int_A^B f(2x) dx}{2B - 2A} = \frac{\int_A^B f(2x) dx}{B-A}##.
 
Stephen Tashi said:
Here's an intuitive way to look at the situation. If ##A## and ##B## are nearly equal then ##A+B \approx 2A \approx 2B##. So a crude approximation is ##f(A+B) \approx f(2A) \approx f(2B)## Instead of using one of those crude approximations, we could use the "average" value of ##f## over the interval ##[2A,2B]##.

That would be ## f(A+B) \approx m = \frac{ \int_{2A}^{2B} f(u) du} {2B- 2A} ##.

Making the change of variable ##2x = u## the integration becomes ##m = \frac{ 2 \int_A^B f(2x) dx}{2B - 2A} = \frac{\int_A^B f(2x) dx}{B-A}##.
##A## and ##B## need not be nearly equal. For example, when ##A=0.4## and ##B=1.5##. Then ##A+B=1.9##, ##2A=0.8## and ##2B=3##. So, ##A+B## is neither approximately equal to ##2A## nor to ##2B##. The formula still gives a very accurate value of ##tan^{-1}1.9##.
 
Kumar8434 said:
So, ##A+B## is neither approximately equal to ##2A## nor to ##2B##.
However, A+B is still the average of 2A and 2B which leads to the justification for making an estimate by taking the average value of the function over the interval [2A,2B].
 
Stephen Tashi said:
However, A+B is still the average of 2A and 2B which leads to the justification for making an estimate by taking the average value of the function over the interval [2A,2B].
2A and 2B will always have A+B as an average no matter what are A and B.
 
Kumar8434 said:
2A and 2B will always have A+B as an average no matter what are A and B.

Yes.
 
  • #10
Stephen Tashi said:
Yes.
Well, that'd mean the formula would always work. You first said that it's supposed to work when ##2A\approx A+B\approx 2B##
 
  • #11
Kumar8434 said:
Well, that'd mean the formula would always work.
No, it would suggest that the formula is worth trying. Whether the formula works or not depends on how the function we are approximating behaves.

You first said that it's supposed to work when ##2A\approx A+B\approx 2B##
Yes, I did.
 
  • #12
I may have more to say later, but here are a few quick thoughts.

I haven't got my notes in front of me but I believe that for large values of a and b (a, b > 1) your arctangent formula is good up to at least terms of order (a + b)-3. I think terms in (b -a) appear in higher orders.

I expanded your formula about (a + b) = 1; i.e. arctan(a + b ) = π/4. The deviations seemed to be (b - a)2/3 (to be checked).

The limiting case where a = 0 and b is small ( 4b2 < 1) is easy to analyse and seems instructive. I believe here your formula first deviates from the true formula in the cubic term.

I do understand your interest in developing these formulae, but where do you think they would be useful?
 
  • #13
John Park said:
I may have more to say later, but here are a few quick thoughts.

I haven't got my notes in front of me but I believe that for large values of a and b (a, b > 1) your arctangent formula is good up to at least terms of order (a + b)-3. I think terms in (b -a) appear in higher orders.

I expanded your formula about (a + b) = 1; i.e. arctan(a + b ) = π/4. The deviations seemed to be (b - a)2/3 (to be checked).

The limiting case where a = 0 and b is small ( 4b2 < 1) is easy to analyse and seems instructive. I believe here your formula first deviates from the true formula in the cubic term.

I do understand your interest in developing these formulae, but where do you think they would be useful?
It's not about uses, I've just suddenly become interested in thinking about these things.
 

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