How Accurate Is the Binomial Approximation for Small x Values?

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In summary, the conversation discusses the topic of binomial approximations, specifically for the expression 1/(1+x) - root(1-2x) ~= (3/2)x^2. The conversation suggests using the binomial formula and dropping higher powers since x is assumed to be small. The term "small" is open to interpretation and in this case, it refers to a value where the third power can be considered negligible in the approximation.
  • #1
Bucky
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Show that if x is small then

1/(1+x) - root(1-2x) ~= (3/2)x^2


im not sure how to even begin this question. there was a part 1 but i don't think its relevant. Small numbers just confuse me...how small is small in any case?
 
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  • #2
You titled this "binomial Approximations"- obviously you are intended to expand both [itex]\frac{1}{1+x}= (1+x)^{-1}[/itex] and [itex]\sqrt{1- 2x}= (1-2x)^{\frac{1}{2}}[/itex] using the binomial formula. Then drop higher powers since if x is small, x to a power is much smaller.
"how small is small in any case?" Well, in this case, small enough that the third power is negligible- because you were asked to show that this is approximately a number times x2
 
  • #3


I can provide some insights on how to approach this question. Firstly, it is important to understand the concept of binomial approximation. This approximation method is used to approximate the value of a polynomial expression when the variable is small.

In this case, the expression is (1/(1+x) - root(1-2x)) and the variable is x. To show that the approximation (3/2)x^2 is valid for small values of x, we can use mathematical techniques such as Taylor series expansion or the binomial theorem.

Using Taylor series expansion, we can write the expression as:

1/(1+x) = 1 - x + x^2 + ...

and

root(1-2x) = 1 - x + (3/2)x^2 + ...

Substituting these values in the original expression, we get:

1/(1+x) - root(1-2x) = (1 - x + x^2 + ...) - (1 - x + (3/2)x^2 + ...)
= (1 - 1) + (x - x) + (x^2 - (3/2)x^2) + ...
= (3/2)x^2 + ...

Hence, we can see that as x becomes smaller and smaller, the higher order terms in the series become negligible and the expression becomes approximately equal to (3/2)x^2.

Similarly, using the binomial theorem, we can expand the expression as:

1/(1+x) - root(1-2x) = (1 + x + x^2 + ...) - (1 - x + (3/2)x^2 + ...)
= (1 - 1) + (x - x) + (x^2 - (3/2)x^2) + ...
= (3/2)x^2 + ...

Therefore, we can conclude that for small values of x, the expression (1/(1+x) - root(1-2x)) can be approximated as (3/2)x^2. The exact value of x that can be considered as "small" may vary depending on the context and the level of precision required. However, generally, values of x less than 0.1 or even 0.01 can be considered as small in this case.

In conclusion, binomial approximation is a useful tool in mathematics and can be used to approximate
 

Related to How Accurate Is the Binomial Approximation for Small x Values?

1. What is a binomial approximation?

A binomial approximation is a mathematical method used to estimate the probability of an event occurring in a sequence of trials, where each trial has only two possible outcomes (e.g. success or failure). It is based on the binomial distribution, which follows a specific formula to calculate the probability of obtaining a certain number of successes in a given number of trials.

2. When is a binomial approximation used?

A binomial approximation is commonly used when dealing with large numbers of trials, as it becomes increasingly difficult to calculate the exact probability using the binomial distribution formula. It is also used when the number of trials is too large to be practically carried out, such as in real-life experiments or simulations.

3. What are the assumptions of a binomial approximation?

The assumptions of a binomial approximation include a fixed number of trials, only two possible outcomes for each trial, and the probability of success remains constant for each trial. Additionally, each trial must be independent of the others, meaning the outcome of one trial does not affect the outcome of the next.

4. How accurate is a binomial approximation?

The accuracy of a binomial approximation depends on the number of trials and the probability of success. As the number of trials increases, the accuracy of the approximation also increases. However, it may not be completely accurate, especially when the probability of success is very low or very high.

5. How is a binomial approximation calculated?

A binomial approximation is calculated using the binomial distribution formula, which is nCx * p^x * (1-p)^(n-x), where n is the number of trials, x is the number of successes, and p is the probability of success. The symbol nCx represents the number of combinations of x objects that can be chosen from a set of n objects. This formula is used to calculate the probability of obtaining a specific number of successes in a given number of trials.

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