Real Analysis: Expanding a Function at Different Points

In summary: I see your point. But I think it would be helpful to have an example of this to better understand what you are saying.In summary, an expansion around a different point may give you better information about the function at that point.
  • #1
Silviu
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Hello! Can someone explain to me, in real analysis, what is the difference in expanding a function as a Taylor series around 2 different point. So we have ##f(x)=\sum c_k (z-z_1)^k = \sum d_k (z-z_2)^k## and as ##k \to \infty## the series equals f in both cases, but why would one choose a point in the favor of the other?
 
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  • #2
Silviu said:
Hello! Can someone explain to me, in real analysis, what is the difference in expanding a function as a Taylor series around 2 different point. So we have ##f(x)=\sum c_k (z-z_1)^k = \sum d_k (z-z_2)^k## and as ##k \to \infty## the series equals f in both cases, but why would one choose a point in the favor of the other?

If you are interested in the function at ##z_1## you choose ##z_1## and if you are interested in the function at ##z_2## you choose ##z_2##.
 
  • #3
There are a few reasons to expand around different points. One is as @PeroK says, that you are interested in a region around a different point. Another is if you have information about all the derivatives around a different point. A third is that the rate of convergence of the Taylor series may be better at a different point. A fourth is that the expansion around another point may have a circle of convergence that is not included in the region of convergence of the first point. (The fourth reason may be considered related to the third reason.)
 
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  • #4
to illustrate one of the previous answers, suppose you are interested in a taylor expansion of the real logarithm function ln(x). it is defined for all positive x, but if you expand around the center a>0, it will only converge on the interval of radius a about that center, i.e. on (0,2a). so if you are interested in the values at some larger number than 2a you need to re expand at a larger center.
 
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  • #5
Silviu said:
So we have f(x)=∑ck(z−z1)k=∑dk(z−z2)kf(x)=\sum c_k (z-z_1)^k = \sum d_k (z-z_2)^k and as k→∞k \to \infty the
it can happen that this formula does not make sense. For example
$$f(z)=\frac{1}{z^2+1}+\frac{1}{(z-1)^2+1}$$ and ##z_1=-10,\quad z_2=10##
 
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  • #6
zwierz said:
it can happen that this formula does not make sense. For example
$$f(z)=\frac{1}{z^2+1}+\frac{1}{(z-1)^2+1}$$ and ##z_1=-10,\quad z_2=10##
Good point. A simpler example is 1/z at z1=-1 and z2 = +1 since there is no value of z where both series converge.
 
  • #7
I wanted the function f to be defined on ##\mathbb{R}## :)
 
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  • #8
zwierz said:
I wanted the function f to be defined on ##\mathbb{R}## :)
Oh. I missed that point. Good example.
 
  • #9
PeroK said:
If you are interested in the function at ##z_1## you choose ##z_1## and if you are interested in the function at ##z_2## you choose ##z_2##.
Thank you for your reply! However I am still a bit confused. If I have let's say ##f(x)=e^x## and I want to calculate ##e^7##, I am interested in the function at ##z=7##, not at ##z_1## or ##z_2##. My question is, what information do ##z_1## and ##z_2## give me?
 
  • #10
The Taylor series expansion at each point z1 and z2 has a radius of convergence which may or may not include the point z=7. Even if both converge at z=7, they may have different rates of convergence there. In the case of the exponential function, all Taylor series converge at z=7, so it is not the best example. Still, I think it would be obvious that an expansion at z1 = 6 will converge faster at z=7 than an expansion at z2=0.
Consider the example that @zwierz gave. The expansion at z1=-10 will not converge at z=7 but the expansion at z2=+10 will.
 
  • #11
e^x of course will converge everywhere, no matter what center of expansion is chosen. But the best center to choose for computation is one for which you actually know the coefficients, namely x=0. Expanding e^x about the point x=6 would require first making an infinite number of coefficient calculations, each comparable to the one computation you want.
 
  • #12
mathwonk said:
e^x of course will converge everywhere, no matter what center of expansion is chosen. But the best center to choose for computation is one for which you actually know the coefficients, namely x=0. Expanding e^x about the point x=6 would require first making an infinite number of coefficient calculations, each comparable to the one computation you want.
Right. But I was trying to make a general point that applied to more than the exponential function. Also, you can expand the series once and, even if you need to calculate a lot of coefficients, it could give you a tool to use for general values of z.
 

Related to Real Analysis: Expanding a Function at Different Points

What is Real Analysis?

Real Analysis is a branch of mathematics that deals with the study of real numbers and their properties. It is also known as the theory of functions of a real variable.

What is meant by "expanding a function at different points" in Real Analysis?

In Real Analysis, expanding a function at different points refers to the process of approximating a function by a polynomial or power series around a specific point. This allows us to better understand the behavior of the function near that point.

Why is expanding a function at different points useful?

Expanding a function at different points allows us to approximate the behavior of a function in a specific region, rather than just at a single point. This can help us make predictions and understand the overall behavior of the function.

What are some common techniques used in expanding a function at different points?

Some common techniques used in expanding a function at different points include Taylor series, Maclaurin series, and Laurent series. These series involve using derivatives of the function to approximate its behavior near a specific point.

What are the applications of expanding a function at different points in Real Analysis?

Expanding a function at different points has various applications in mathematics, physics, and engineering. It is used to solve differential equations, approximate complex functions, and understand the behavior of physical systems.

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