General formula to find δ, given ε, c, f(x), and L

In summary, there is a pattern to the special cases of f(x)=ax+b and f(x)=x^2, where a is the derivative of ax+b and 2x(2c) is the derivative of x^2. However, there is no formula for a general case and finding the largest delta for a given epsilon may require numerical methods and will not result in a nice pattern. Additionally, epsilon must be specified first before finding delta.
  • #1
TylerH
729
0
I noticed there's a pattern to the special cases f(x)=ax+b and f(x)=x^2:
[tex]lim_{x\rightarrow c}ax+b=L, \delta=\frac{\epsilon}{a}[/tex]
[tex]lim_{x\rightarrow c}x^2=L, \delta=\frac{\epsilon}{2c+1}[/tex]
I noticed that a is the derivative of ax+b, and 2x(2c) is the derivative of x^2, but how do I justify the + 1 part of the special case for x^2?

Is there any formula for a general case?
 
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  • #2
Is there a pattern, or am I seeing one that doesn't exist?
 
  • #3
Of course, for such problems, there isn't a unique δ that works for a given ε, since if you have one value for δ, any smaller one will work. So the problem is well defined if you are looking for the largest δ that will work for a given ε, which is what you have done in the linear case.

The short answer to your question is no. You can, in principle, always find the minimum δ, but it won't always be easy and certainly you won't find a nice pattern, even for polynomials.
 
  • #4
LCKurtz said:
You can, in principle, always find the minimum δ, but it won't always be easy and certainly you won't find a nice pattern, even for polynomials.

Do you mean "[...] find the largest δ, [...]"?

Is there a general way to find the largest delta given f(x) and the largest epsilon?
 
  • #5
LCKurtz said:
Of course, for such problems, there isn't a unique δ that works for a given ε, since if you have one value for δ, any smaller one will work. So the problem is well defined if you are looking for the largest δ that will work for a given ε, which is what you have done in the linear case.

The short answer to your question is no. You can, in principle, always find the minimum δ, but it won't always be easy and certainly you won't find a nice pattern, even for polynomials.

TylerH said:
Do you mean "[...] find the largest δ, [...]"?

Is there a general way to find the largest delta given f(x) and the largest epsilon?

Yes, that is clearly a typo isn't it, given the emphasis on largest above. I meant maximum when I wrote minimum. So, yes, you can do it in principle but you may have to resort to numerical methods but no, it won't give you any nice pattern. And you don't mean "given f(x) and the largest epsilon". Epsilon is specified first, then you can find delta depending on it.
 

FAQ: General formula to find δ, given ε, c, f(x), and L

What is the general formula for finding δ?

The general formula for finding δ is δ = ε / (c * f(x) * L), where δ represents the distance, ε represents the error, c represents the speed of light, f(x) represents the frequency, and L represents the length.

How do you calculate δ if the values for ε, c, f(x), and L are not given?

If the values for ε, c, f(x), and L are not given, then the general formula for finding δ cannot be used. In this case, you would need to use other equations or methods specific to your problem to calculate δ.

Can the general formula for finding δ be used for any type of problem?

No, the general formula for finding δ is specifically used for problems related to wave propagation, where δ represents the distance between wave crests.

How is the general formula for finding δ related to the speed of light?

The speed of light (c) is a constant value that is used in the general formula to calculate δ. This is because the speed of light is the speed at which electromagnetic waves, such as light waves, travel through a vacuum.

Is the general formula for finding δ the only way to calculate distance in wave propagation problems?

No, there are other equations and methods that can be used to calculate distance in wave propagation problems. The general formula for finding δ is just one of many possible approaches.

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