Expanding f(z) with Known Moments: m_k

In summary, "Expanding f(z) with Known Moments: m_k" is a mathematical technique that uses known moments of a function to approximate it with a series of polynomials. This allows for efficient and accurate evaluation of the function at different points. It has advantages such as efficiency and accuracy in complex functions, but limitations such as its dependence on the number of moments included and the availability of those moments. It is commonly used in fields such as statistics, signal processing, and numerical analysis for various applications.
  • #1
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given the set of moments [tex] m_k [/tex]

obtained from the known measure w(x) [tex] \int _{-\infty}^{\infty}dx w(x) x^{k} = m_k [/tex]

now if we define the moment generating function [tex] f(z)= \sum_{k=0}^{\infty} m_{k}(-1)^{k}z^{k} [/tex] , which have the integral representation

[tex] f(z)= \int _{-\infty}^{\infty} \frac{w(x)}{1+xz } [/tex]

my question is , how could i expand f(z) knowing the moment m_k in the form of a continued fraction

[tex] f(z) = a_0 (z)+ \frac{1 \mid}{\mid a_1 (z)} + \frac{1 \mid}{\mid a_2 (z)} + \frac{1 \mid}{\mid a_3 (z)}. [/tex]

where the a_n are Polynomials of degree 1 .

for example for the case of exponential integral , how did euler manage to get the continued fraction ?? thanks.
 
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  • #2

Thank you for your question. The expansion of the moment generating function f(z) in the form of a continued fraction can be obtained using the Cauchy integral formula. This formula states that for a function f(z) that is analytic in a region containing a closed contour C and a point z inside C, the coefficient of z^n in the Taylor series expansion of f(z) about z=0 is given by:

\frac{1}{2\pi i}\oint_C \frac{f(z)}{z^{n+1}} dz

In our case, we can use this formula to obtain the coefficients of z^n in the Taylor series expansion of f(z) by choosing the contour C to be a circle centered at z=0 with radius R large enough to contain all the singularities of f(z). Then, by expanding the fraction \frac{1}{1+xz} in a geometric series, we can express f(z) as a sum of terms of the form \frac{w(x)}{x^{n+1}}. Using the Cauchy integral formula, we can then obtain the coefficients of z^n in the Taylor series expansion of f(z) as integrals of the form \int_{-\infty}^{\infty} \frac{w(x)}{x^{n+1}} dx, which are just the moments m_n. Therefore, we have:

f(z) = \sum_{n=0}^{\infty} m_n (-1)^n z^n

which is the desired continued fraction expansion.

As for the specific case of the exponential integral, Euler was able to obtain the continued fraction expansion by using the Maclaurin series expansion of the exponential function e^z and the definition of the exponential integral as a logarithmic integral. By manipulating these series and integral expressions, he was able to obtain the continued fraction representation for the exponential integral.

I hope this helps to answer your question. If you have any further questions, please don't hesitate to ask.
 

1. What is "Expanding f(z) with Known Moments: m_k"?

Expanding f(z) with Known Moments: m_k is a mathematical technique used to approximate a function f(z) using a finite number of known moments, or statistical moments, of that function. This allows for a more efficient and accurate way to evaluate the function at different points.

2. How does "Expanding f(z) with Known Moments: m_k" work?

This technique involves using a series of polynomials, known as the moment polynomials, to approximate the function f(z). These polynomials are constructed using the known moments of the function, and the accuracy of the approximation increases as more moments are included in the expansion.

3. What are the advantages of using "Expanding f(z) with Known Moments: m_k"?

One advantage is that it allows for a more efficient way to compute the function at different points, as it only requires a finite number of known moments instead of evaluating the function directly. It also provides a more accurate approximation compared to other methods, especially for functions with complex or oscillatory behavior.

4. Are there any limitations to "Expanding f(z) with Known Moments: m_k"?

One limitation is that the accuracy of the approximation depends on the number of moments included in the expansion, so it may not be suitable for highly accurate calculations. It also requires knowledge of the moments of the function, which may be difficult to obtain in some cases.

5. In what fields or applications is "Expanding f(z) with Known Moments: m_k" commonly used?

This technique is commonly used in fields such as statistics, signal processing, and numerical analysis. It has applications in various areas such as data fitting, image processing, and financial modeling, where efficient and accurate approximations of functions are needed.

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