How can the coefficients of $e^{f(x)}$ be related to the coefficients of $f(x)$?

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In summary, the coefficients of $e^{f(x)}$ and $f(x)$ are closely related, with $e^{f(x)}$ being expandable into a series using the Taylor series expansion and its coefficients being the derivatives of $f(x)$ evaluated at 0. However, while they can provide some insight into the behavior of $f(x)$, they do not give a complete picture as the Taylor series only captures local behavior. Some patterns can be observed, such as the coefficients being 0 for odd functions and alternating in sign for odd functions. To simplify calculations involving $e^{f(x)}$, logarithmic properties can be used to expand it into simpler terms. This relationship also has practical applications in fields such as physics
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Chris L T521
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Thanks again to those who participated in last week's POTW! Here's this week's problem!

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Problem
: If $\displaystyle f(x)=\sum_{m=0}^{\infty} c_mx^m$ has positive radius of convergence and $e^{f(x)}= \displaystyle \sum_{n=0}^{\infty} d_n x^n$, show that
\[n d_n = \sum_{i=1}^n i c_i d_{n-i},\qquad n\geq 1.\]

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This week's problem was correctly answered by Opalg. You can find his solution below.

If \(\displaystyle e^{f(x)} =\sum_{n=0}^\infty d_nx^n\), then (differentiating term by term, which is legitimate within the radius of convergence) $$\sum_{n=1}^\infty nd_nx^{n-1} = f'(x)e^{f(x)} = \sum_{m=1}^\infty mc_mx^{m-1}\sum_{k=0}^\infty d_kx^k.$$ Since all these series are absolutely convergent within the radius of convergence, we can equate the coefficients of $x^{n-1}$ on both sides, using Mertens' theorem, to get $$nd_n = \sum_{\substack{1\leqslant m \leqslant n \\ m+k=n}}mc_md_k = \sum_{m=1}^n mc_md_{n-m}.$$ Those sums only makes sense when $n\geqslant 1$. To find $d_0$ you need to put $x=0$ in the original equation \(\displaystyle e^{f(x)} =\sum_{n=0}^\infty d_nx^n\), getting $d_0 = e^{c_0}.$
 

FAQ: How can the coefficients of $e^{f(x)}$ be related to the coefficients of $f(x)$?

How do the coefficients of $e^{f(x)}$ and $f(x)$ relate to each other?

The coefficients of $e^{f(x)}$ and $f(x)$ are closely related, as $e^{f(x)}$ can be expanded into a series using the Taylor series expansion. This means that the coefficients of $e^{f(x)}$ are essentially the derivatives of $f(x)$ evaluated at 0. Therefore, the coefficients of $e^{f(x)}$ can be seen as a "snapshot" of the derivatives of $f(x)$ at a specific point, while the coefficients of $f(x)$ represent the overall behavior of the function.

Can the coefficients of $e^{f(x)}$ be used to determine the behavior of $f(x)$?

While the coefficients of $e^{f(x)}$ can give some insight into the derivatives of $f(x)$, they do not provide a complete picture of the behavior of $f(x)$. This is because the Taylor series expansion only captures the behavior of a function near a specific point, and may not accurately represent the behavior of the function as a whole.

Are there any patterns in the relationship between the coefficients of $e^{f(x)}$ and $f(x)$?

Yes, there are some patterns that can be observed. For example, if $f(x)$ is an even function, then all of the odd coefficients of $e^{f(x)}$ will be 0. Additionally, the coefficients of $e^{f(x)}$ will alternate in sign if $f(x)$ is an odd function.

How can the coefficients of $e^{f(x)}$ be manipulated to simplify calculations?

One way to simplify calculations involving $e^{f(x)}$ is to use the properties of logarithms to expand $e^{f(x)}$ into a product of terms with simpler exponentials. This can help to break down the function into smaller parts and make it easier to manipulate the coefficients.

Are there any practical applications of understanding the relationship between the coefficients of $e^{f(x)}$ and $f(x)$?

Yes, there are many practical applications of this relationship in various fields such as physics, engineering, and economics. For example, in physics, the coefficients of $e^{f(x)}$ can be used to model the behavior of systems with exponential growth or decay. In economics, the coefficients of $e^{f(x)}$ can represent interest rates or inflation rates in financial models. Understanding this relationship can also help in the analysis and prediction of data in various fields.

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