Proportionality and the ln function

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Hi,

We know that if x=2, and y=4 for example, i.e that x is directly proportional to y.
What i am wondering about is when to say that x is proportional to lny? As in the case of Entropy in Statistical Physics where S proportional to lnW?
 
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A variable [itex]x[/itex] is said to be "directly proportional" (or simply proportional) to another variable [itex]y[/itex], if one is a linear multiple of the other, i.e. there exists some real number [itex]\lambda[/itex], such that [itex]x = \lambda y[/itex].

It's termed "inversely proportional" if [itex]x = \lambda/y[/itex].

So, if [itex]x[/itex] is proportional to [itex]ln (W)[/itex], there has to exist some real number [itex]\lambda[/itex] such that [itex]x = \lambda ln(W)[/itex].
 
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Thanks for the reply, but how to know whether it is proportional to y or lny? Is there some rule other than plotting a graph perhaps?
 
Just compute the ratio [itex]x/y[/itex] for different values of [itex]x[/itex] and their corresponding [itex]y[/itex] values. If this ratio remains a constant (the constant of proportionality [itex]\lambda[/itex] ), then [itex]x[/itex] is proportional to [itex]y[/itex].

Graphically, if [itex]x[/itex] is directly proportional to [itex]y[/itex], i.e, if [itex]x = \lambda y[/itex] then the graph of [itex]y[/itex] as a function of [itex]x[/itex] will be a straight line passing through the origin with the slope of the line equal to the constant of proportionality [itex]1/\lambda[/itex].
 
Thanks again. But still I was concentrating on the lny and not the y. Anyway, I will depend on graphical illustrations.
 
It is straightforward to generalize Ryuzaki's reply to all other functions.
Ryuzaki said:
Just compute the ratio [itex]x/y[/itex] for different values of [itex]x[/itex] and their corresponding [itex]y[/itex] values. If this ratio remains a constant (the constant of proportionality [itex]\lambda[/itex] ), then [itex]x[/itex] is proportional to [itex]y[/itex].

Graphically, if [itex]x[/itex] is directly proportional to [itex]y[/itex], i.e, if [itex]x = \lambda y[/itex] then the graph of [itex]y[/itex] as a function of [itex]x[/itex] will be a straight line passing through the origin with the slope of the line equal to the constant of proportionality [itex]1/\lambda[/itex].
For ##\ln(y)##:

Just compute the ratio [itex]x/\ln(y)[/itex] for different values of [itex]x[/itex] and their corresponding [itex]\ln(y)[/itex] values. If this ratio remains a constant (the constant of proportionality [itex]\lambda[/itex] ), then [itex]x[/itex] is proportional to [itex]\ln(y)[/itex].

Graphically, if [itex]x[/itex] is directly proportional to [itex]ln(y)[/itex], i.e, if [itex]x = \lambda \ln(y)[/itex] then the graph of [itex]\ln(y)[/itex] as a function of [itex]x[/itex] will be a straight line passing through the origin with the slope of the line equal to the constant of proportionality [itex]1/\lambda[/itex].
 
mfb said:
It is straightforward to generalize Ryuzaki's reply to all other functions.

For ##\ln(y)##:

Just compute the ratio [itex]x/\ln(y)[/itex] for different values of [itex]x[/itex] and their corresponding [itex]\ln(y)[/itex] values. If this ratio remains a constant (the constant of proportionality [itex]\lambda[/itex] ), then [itex]x[/itex] is proportional to [itex]\ln(y)[/itex].

Graphically, if [itex]x[/itex] is directly proportional to [itex]ln(y)[/itex], i.e, if [itex]x = \lambda \ln(y)[/itex] then the graph of [itex]\ln(y)[/itex] as a function of [itex]x[/itex] will be a straight line passing through the origin with the slope of the line equal to the constant of proportionality [itex]1/\lambda[/itex].

Ah, you beat me to it. :smile:
 
Thanks guys. This is close to answering my question.