Analytic on D: Power Series and Polynomial Coefficients

  • MHB
  • Thread starter Dustinsfl
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In summary, if $f$ is analytic on the disc D and for each $a\in D$, the power series of $f$ expanded at a has at least one coefficient equal to zero, then $f$ is a polynomial on D. This can be proven by considering the sets $A_n=\{ x\in D' : f^{(n)}(x)=0 \}$ and showing that one of these sets has an accumulation point in $D$, which implies that $f^{(m)}=0$ and therefore $f$ is a polynomial. This is supported by the identity theorem.
  • #1
Dustinsfl
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If $f$ is analytic on the disc D and for each $a\in D$, the power series of $f$ expanded at
a has at least one coefficient equal to zero, then f is a polynomial on D.

I am at a loss here.
 
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  • #2
Take \(D'\subset D\) any closed subdisk, and consider the sets \(A_n=\{ x\in D' : f^{(n)}(x)=0 \}\). Prove that one of these, say \(A_k\), has an accumulation point in \(D\), what can you say about \(f^{(k)}\)?
 
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  • #3
Jose27 said:
Take \(D'\subset D\) any closed subdisk, and consider the sets \(A_n=\{ x\in D' : f^{(n)}(x)=0 \}\). Prove that one of these, say \(A_k\), has an accumulation point in \(D\), what can you say about \(f^{(k)}\)?

Since D' is bounded and closed, by the Heine-Borel Theorem, D' is compact. In D', $A_k$ would have an accumulation point. How can I extended that into D? How does that help with showing $f$ is a polynomial?
 
  • #4
So $\displaystyle\bigcup A_n = D'$ and at least one $A_n$ is infinite. Let $A_m$ be infinite.
We have a sequence $a_m\in A_m$ in $D'$. By the Heine-Borel Theorem, $D'$ is compact and has a convergent subsequence of $a_m$. Therefore, $f^{(m)} = 0$ and $f$ is a polynomial.

Is this good?
 
  • #5
dwsmith said:
So $\displaystyle\bigcup A_n = D'$ and at least one $A_n$ is infinite. Let $A_m$ be infinite.
We have a sequence $a_m\in A_m$ in $D'$. By the Heine-Borel Theorem, $D'$ is compact and has a convergent subsequence of $a_m$. Therefore, $f^{(m)} = 0$ and $f$ is a polynomial.

Is this good?

As long as you know why each of your claims is valid then yes, everything's fine.
 
  • #6
Jose27 said:
As long as you know why each of your claims is valid then yes, everything's fine.

I think I am unsure of is $f^{m} = 0$ and $f$ is a polynomial. Can you explain why that is the case?
 
  • #7
Look up the identity theorem. For the rest, surely you can argue that if $f^{(m)}\equiv 0$ then $f$ is a polynomial.
 

FAQ: Analytic on D: Power Series and Polynomial Coefficients

What is "Analytic on D"?

"Analytic on D" is a mathematical concept that refers to a function that is defined and differentiable at every point in a particular region of the complex plane, known as the domain D. This concept is important in complex analysis and has many applications in physics, engineering, and other fields.

How is "Analytic on D" different from other types of functions?

"Analytic on D" functions have the unique property of being infinitely differentiable, meaning that all of their derivatives exist at every point in the domain D. This is in contrast to other types of functions, such as continuous or differentiable functions, which may have discontinuities or non-differentiable points.

What is the significance of the domain D in "Analytic on D" functions?

The domain D determines the specific region in the complex plane where the function is defined and differentiable. This means that the behavior of the function outside of D may not be well-defined or may not exhibit the same properties as it does within D. Therefore, the domain D is an important consideration when studying "Analytic on D" functions.

Can "Analytic on D" functions have singularities?

Yes, "Analytic on D" functions can have singularities, which are points in the domain D where the function is not defined or is not differentiable. These singularities can be classified as either removable or non-removable, depending on whether the function can be extended to be analytic at that point.

What are some real-world applications of "Analytic on D" functions?

"Analytic on D" functions have many applications in physics, engineering, and other fields. They are commonly used in the study of electromagnetic fields, fluid dynamics, and quantum mechanics. They also have practical applications in signal processing, image recognition, and data analysis.

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