Loglog Graph: Relation between N and E

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SUMMARY

The discussion focuses on the interpretation of log-log graphs, specifically the relationship between variables $N$ and $E$. It establishes that a log-log plot can represent power relationships of the form $y=a x^b$, allowing for the determination of coefficients $a$ and $c$. The participants confirm that the linear representation of $\log E$ against $\log N$ leads to the equations $\log E = a \log N + c$ and $E = 10^c N^a$. The calculations provided by a user yield $a = -2$ and $c = \log(656) - 2$, although discrepancies with Wolfram|Alpha's results raise questions about accuracy.

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evinda
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Hello! (Wave)

What does a loglog-graph represent?

For example if we have the following loglog-graph, which is the relation between $N$ and $E$ ?

View attachment 4871
 

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Straight lines on a log-log plot correspond to power relationships of the form $y=a x^b$. The log-log plot can help you determine $a$ and $b$. See the link for info on how to do that.
 
Ackbach said:
Straight lines on a log-log plot correspond to power relationships of the form $y=a x^b$. The log-log plot can help you determine $a$ and $b$. See the link for info on how to do that.

So the loglog-graph of $E$ in respect to $N$ represents the graph of $\log (E)$ in respect to $\log (N)$, right?

Since the graphical representation of the function $\log{E (\log N)}$ is a straight line we conclude that the function is linear, so $\log E= a \log N+c \Rightarrow E=10^c N^a$.

Is it right so far?

The following table shows N and E(N).
View attachment 4872How can we use it to find $c$ and $a$ ? (Thinking)
 

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evinda said:
So the loglog-graph of $E$ in respect to $N$ represents the graph of $\log (E)$ in respect to $\log (N)$, right?

Since the graphical representation of the function $\log{E (\log N)}$ is a straight line we conclude that the function is linear, so $\log E= a \log N+c \Rightarrow E=10^c N^a$.

Is it right so far?

Yep!

The following table shows N and E(N). How can we use it to find $c$ and $a$ ? (Thinking)

That depends on whether the data you have is exactly on the graph, or only approximately on the graph. If exact, then just pick two points, get yourself a system of two equations in two unknowns, and solve. If inexact, then first you should fit a straight line to the data (typically least-squares fit), then just transform that line the way you just have, and you're done.
 
Ackbach said:
That depends on whether the data you have is exactly on the graph, or only approximately on the graph. If exact, then just pick two points, get yourself a system of two equations in two unknowns, and solve.

I took the last two data for $N$ and $E(N)$ and so I got the equations:

$$\log ( 164 \cdot 10^{-6})=a \log{(2 \cdot 10^2)}+c \\ \log{(41 \cdot 10^{-6})}= a \log{(4 \cdot 10^2)}+c$$

from which I got $a=-2, c=\log (656)-2$.

But according to log'('0.000164')''='a'*'log'('200')''+'c, log'('0.000041')''='a'*'log'('400')''+'c - Wolfram|Alpha the result is wrong.

So do you think that I might have a mistake at my calculations? Because I can't find one.. (Sweating)
 
evinda said:
I took the last two data for $N$ and $E(N)$ and so I got the equations:

$$\log ( 164 \cdot 10^{-6})=a \log{(2 \cdot 10^2)}+c \\ \log{(41 \cdot 10^{-6})}= a \log{(4 \cdot 10^2)}+c$$

from which I got $a=-2, c=\log (656)-2$.

But according to log'('0.000164')''='a'*'log'('200')''+'c, log'('0.000041')''='a'*'log'('400')''+'c - Wolfram|Alpha the result is wrong.

So do you think that I might have a mistake at my calculations? Because I can't find one.. (Sweating)

I'm confused. $\log(656)-2\approx 0.8169$, which is what W|A got.
 
Ackbach said:
I'm confused. $\log(656)-2\approx 0.8169$, which is what W|A got.

So is my result right although at [m] Wolfram [/m] it is $a \approx -2 $ while I got $a=-2$ ? (Thinking)
 
If W|A says it's approximately 2, I wouldn't worry about it. At that point, you probably don't have that many significant figures anyway, so worrying about that level of accuracy is counter-productive.
 

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