Definition of analytic curve double check.

In summary, the definitions of a real analytic function and a real analytic curve are correct as stated.
  • #1
caffeinemachine
Gold Member
MHB
816
15
Hello MHB.
Can someone please check if these definitions are correct.

Definition.
Let $U$ be a subset of the real numbers. A function $f:U\to\mathbb R$ is said to be a real analytic function if $f$ has a Taylor series about each point $x\in U$ that converges to the function $f$ in an open neighborhood of $x$.

Definition.
Let $U$ be a subset of real numbers and $f:U\to\mathbb R^n$ be a function. Write $f(x)=(f_1(x),\ldots,f_n(x))$. Then $f$ is said to be a real analytic curve if each $f_i$ is are analytic.
 
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  • #2


Hello!

Your definitions seem to be correct. A real analytic function is indeed defined as a function that has a convergent Taylor series at each point in its domain, and a real analytic curve is a function whose components are all analytic. These definitions are commonly used in mathematics and are accepted as correct. However, it is always a good idea to double-check with a trusted source or consult a textbook to ensure accuracy. Keep up the good work!
 

Related to Definition of analytic curve double check.

1. What is the definition of an analytic curve double check?

An analytic curve double check is a method used in mathematical analysis to verify the accuracy of a given curve or function. It involves taking the derivative of the original function and comparing it to the derivative of the curve obtained by applying the inverse function to the original function. If the two derivatives are equal, then the curve is considered to be analytically correct.

2. How does an analytic curve double check work?

An analytic curve double check works by taking the derivative of the original function, and then applying the inverse function to the resulting curve. The resulting curve is then compared to the original curve. If the two curves are identical, then the original curve is considered to be analytically correct.

3. Why is an analytic curve double check important?

An analytic curve double check is important because it helps to ensure the accuracy of mathematical curves and functions. It is particularly useful in complex mathematical calculations where small errors can lead to significant discrepancies in the final results.

4. What are the limitations of an analytic curve double check?

One limitation of an analytic curve double check is that it can only be used to verify the accuracy of analytic functions. It cannot be used for non-analytic functions or functions with discontinuities. Additionally, it may not catch errors in the original function that occur outside of the tested range.

5. Are there any alternatives to an analytic curve double check?

Yes, there are alternative methods for verifying the accuracy of curves and functions, such as numerical methods or using multiple data points to plot the curve. However, an analytic curve double check is a widely accepted and efficient method for checking the accuracy of analytic functions.

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