Calculating Uncertainty in Mass of a Star Using Taylor Series Expansion

Have a good night!In summary, the conversation discusses calculating the fractional uncertainty f of mass M of a star, given the distance to the star d, using the equation M \alpha d3 and a Taylor expansion to the first order in f. It is determined that the fractional uncertainty of M is equal to 1 +/- 3f, where f is the fractional uncertainty of d.
  • #1
nissanztt90
48
0

Homework Statement



Need to calculate fractional uncertainty f, of M (mass of a star in this case), where f is much less than one. The hint i was given was all i need to know is M [tex]\alpha[/tex] d3, and use a taylor expansion to the first order in f.

M = mass of a star, d = distance to star


Homework Equations



M [tex]\alpha[/tex] d3

The Attempt at a Solution



Firstly, I am stuck at what the [tex]\alpha[/tex] means, I've never seen it used before in this sense, at least not that i remember. Cut and paste shows it to be a division sign, although that doesn't mean much. I am not very strong with taylor expansions at all. Assuming that the [tex]\alpha[/tex] is supposed to be a division sign...

f(x) = M/d3 then...

f(a) + (f`(a)/1!)(x-a) then...

M/d3 + 1/d3(x-a) would be the first order? I am guessing you take the derivative with respect to M. Would 1/d3 be my uncertainty since that is the first order? Its been awhile since i worked on taylor expansions and I am very confused.
 
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  • #2
The [itex]\propto[/itex] means "directly proportional to", so that the equation [itex]M(d) \propto d^3[/itex] says that [itex]M(d)[/itex] is directly proportional to [itex]d^3[/itex]. It could mean that [itex]M(d)=2.6876d^3[/itex] or [itex]M(d)=-97d^3[/itex] for example. Since you aren't told what the constant of proportionality is, just call it [itex]\kappa[/itex] so that [itex]M(d) \propto d^3 \quad \Rightarrow M(d)=\kappa d^3[/itex]

What is f supposed to be? Is it a function of M?
 
  • #3
The [itex] \alpha [/itex] means "is proportional to". Alternatively, you could say

M = a d3
where "a" is a constant.

Do you know what "d" is?

I'll take an educated guess that you are to write f in terms of the fractional error in d, which you could call fd or maybe Δd/d

Another educated guess: you didn't quite copy the problem statement properly. If you are really to find f "to the first order in f", the answer is simply

f=f
 
  • #4
Here is the exact question:

Lets call the fractional uncertainty on the distance to the Galactic center f, meaning that we think the true distance is with in d0 +/- fd0 (where D0 is our best guess and f is much smaller than 1). What is the fractional uncertainty on M? Hint: All you need to know is M [tex]\alpha[/tex] d3 and then use a Taylor expansion to first order in f.

If M is directly proportional to d3, then wouldn't the fractional uncertainty be proportional to f? So if fd = f, and M is proportional to d3, then would fM = f1/3?

f is the fractional uncertainty, not a function of mass or distance i don't believe.
 
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  • #5
Okay, so f is the fractional uncertainty of d, not of M as you suggested originally.

nissanztt90 said:
If M is directly proportional to d3, then wouldn't the fractional uncertainty be proportional to f? .

It is. But that does not mean they are equal. Proportional does not mean equal.

Since M α d3, see what happens when you expand

(d0 +/- fd0)3
 
  • #6
So is my f(a) = (d0+/- fd0)3, then i take the first derivative with respect to f? f`(a) = +/-d0(x-a)? I am so confused by series expansion.
 
  • #7
Basically you have [itex]M(d)=\kappa d^3= \kappa (d_0 \pm fd_0)^3 =\kappa d_0^3 (1 \pm f)^3[/itex]
You are given that f is much smaller than 1, so you want to do a Taylor series expansion of [itex]g(f)=(1 \pm f)^3[/itex] about the point f=0. (I'm using g here so that you don't confuse your f's)

The Taylor series of g(f) about the point f=0 is:

[tex] g(f)=g(0)+\frac{g'(0)f}{1!}+\frac{g''(0)f
^2}{2!}+\ldots[/tex]
 
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  • #8
Alright, and then the expansion to the first order would be g(0) + g'(0)f?

Tell me if I am getting this...

g(f) = (1+f)3 = (1 + 3f + 3f2 + f3)
g'(f) = (3 + 6f + 3f2)

g(f) = g(0) + g'(0)f /1! = 1 + 3f

That would be expanded to the first order f? 1 + 3f?

So whatever my fractional uncertainty is for distance, say fd, the fractional uncertainty of the mass, fm = 1 + 3fd?

BTW thank you very much for your help.
 
  • #9
Your expansion is correct, however I meant to say [itex]g(f)=(1 \pm f)^3[/itex]. As you can check for yourself, the expansion of that to first order in f about f=0 is [itex]1 \pm 3f[/itex]. So substitute this into the formula for [itex]M[/itex] what do you get?
 
  • #10
The fractional uncertainty of the Mass = 1+/- 3f, where f is the fractional uncertainty of the distance? I am not sure which equation for mass your referring to since i didnt provide one initially, only the proportion, or were you talking about M(d) = a d3
 
  • #11
Use the equation [itex]M(d)=\kappa d^3= \kappa (d_0 \pm fd_0)^3 =\kappa d_0^3 (1 \pm f)^3[/itex].
Remember this comes from the fact that [itex]M[/itex] is proportional to [itex]d^3[/itex] and that [itex]d=d_0 \pm fd_0[/itex].

All that the taylor series has shown is that [itex](1\pm f)^3 \approx 1 \pm 3f[/itex]
 
  • #12
M(d) = ad3(1+/-3f), M(d) = ad3 +/- 3fad3, now do i solve for f or something?
 
  • #13
Well, you have:

[tex]M(d)=\kappa d_0^3 \pm 3f\kappa d_0^3[/tex]

Or, using [itex]M_0 \equiv M(d_o)=\kappa d_0^3[/itex]

[tex]M(d)=M_0 \pm 3fM_0[/tex]

Now, can you look at that equation and tell me what [itex]f_M[/itex] is?:wink:
 
  • #14
I hope so...its getting late here and i was up early...so here it goes...

fM= +/-3fd
 
  • #15
Yep, you got it. :)
 
  • #16
Great, thank you very much for your help.
 

FAQ: Calculating Uncertainty in Mass of a Star Using Taylor Series Expansion

What is a Taylor series expansion?

A Taylor series expansion is a method used in mathematics to approximate a function using a polynomial. It is represented by an infinite sum of terms, each term being a higher order derivative of the function evaluated at a specific point.

What is the purpose of a Taylor series expansion?

The purpose of a Taylor series expansion is to approximate a function that is difficult to evaluate directly. It allows us to break down a complex function into simpler components and use them to get an accurate approximation of the original function at a specific point.

What is the difference between a Taylor series expansion and a Maclaurin series?

A Taylor series expansion is a generalization of a Maclaurin series, which is a special case where the expansion is centered at the origin (x=0). In a Maclaurin series, all the derivatives of the function are evaluated at x=0, while in a Taylor series, the derivatives are evaluated at any other point in the domain of the function.

How do you calculate a Taylor series expansion?

To calculate a Taylor series expansion, you first need to find the derivatives of the function at a specific point. Then, plug in these derivatives into the formula for Taylor series expansion, which is an infinite sum of terms with coefficients based on the derivatives. The more terms you include in the expansion, the more accurate the approximation will be.

What is the use of a remainder term in a Taylor series expansion?

A remainder term is used to estimate the error in the Taylor series approximation. It tells us how close our approximation is to the actual value of the function. By including more terms in the expansion, we can minimize the error and get a more accurate approximation.

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