Estimating Error Functions for very large values

In summary, the conversation discussed a problem involving upsizing quantum physics and calculating the probability of a 1000 tonne bridge being found 1m from its resting position. This problem can be simplified to calculating 1 - Erf(7.79x10^{19}), which is equivalent to calculating Erfc of 7.79x10^{19}. The number is extremely small and various approximations have been attempted, such as using an asymptotic expansion. The conversation also mentioned the Taylor expansion and the general term for large x.
  • #1
raymo39
50
0
Hey guys,
I was posed an interesting problem which relates to upsizing quantum physics, that boils down to a math problem. I was trying to calculate the probability that a 1000 tonne bridge would be found 1m from its resting position, if you model it as having the ground energy of a harmonic oscillator.
Eventually the problem boils down to calculating 1 - Erf(7.79x10[itex]^{19}[/itex])
which is the same as calculating Erfc of 7.79x10[itex]^{19}[/itex]
as you might be able to figure out the number is unbelievably small.
i was womdering if anyone might have a good approximation to it, or an interesting way to calculate it on mathematica/matlab?
ive given a few approximations a try already, but have been rather disappointed with the results.
 
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  • #2
You are dealing with a very small number.
An asymptotic_expansion is a good choice here, read about it in any nice calculus book. We can think of it as almost the Taylor expansion of f(1/x) about x=0 of of f(x) about x=infinity.
for large x
1-erf(x)~(e^-x^2/sqr(pi)) [1/x-1/(2x^3)+3/(4x^5)-15/(8x^7)+105/(16x^9)+...]
The general term being (-1)^n (2n-1)!/[x(2x^2)^n] for n=0,1,2,...

http://en.wikipedia.org/wiki/Error_function
 

1. What is an error function?

An error function is a mathematical function that describes the difference between the true value and the estimated value of a quantity. It is commonly used in statistics and scientific research to measure the accuracy of a model or prediction.

2. How is error function calculated for very large values?

For very large values, the error function is typically estimated using numerical methods such as Taylor series expansions or asymptotic approximations. These methods allow for faster and more accurate calculation of the error function compared to standard methods.

3. What is the purpose of estimating error functions for very large values?

Estimating error functions for very large values is important in fields such as physics, engineering, and finance where accurate prediction of values is crucial. By understanding the error associated with a particular prediction, scientists and researchers can make more informed decisions and improve the accuracy of their models.

4. Are there any limitations to estimating error functions for very large values?

Yes, there are limitations to estimating error functions for very large values. As the values become extremely large, the accuracy of the estimated error function may decrease. This is due to the fact that numerical methods have their own limitations and may introduce errors into the calculation.

5. Can error functions be estimated for values that are infinitely large?

No, error functions cannot be estimated for values that are infinitely large. This is because infinity is not a finite number and cannot be accurately measured or predicted. However, for extremely large values, numerical methods can provide an approximation of the error function that is close to the true value.

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