High School Difference Quotient vs ARC of a Function

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The discussion clarifies the concepts of the Average Rate of Change and the Difference Quotient in calculus. The Average Rate of Change formula calculates the change in function values over a specified interval, while the Difference Quotient focuses on the change at a specific point, divided by a small increment (h). Both concepts ultimately lead to the derivative, which represents the slope of the tangent line at a point on the function. The limit process as h approaches zero transitions from secant lines to the tangent line, highlighting the local behavior of the function. Understanding these relationships is crucial for grasping the foundational principles of calculus.
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These are the two things that I'm going over in my PreCalculus class- the Difference Quotient and the Average Rate of Change of a Function. I'm confused as to what exactly they are, and how they relate to each other.

Average Rate of Change= ##\frac {f \left(b\right) - f\left(a\right)} {b - a }##
To my understanding, this is the average rate of change of the function from value b to value a. Getting something like a value of 10 for this would make sense. However, in some of the examples such as:
Find the average rate of change of ##f\left(x\right)=2x^2-3## as x changes from x=c to x=c+h and h cannot equal 0.
##\frac {f \left(c+h\right) - f\left(c\right)} {\left(c+h\right) - c }##,
and yields the result
=4c+2h
What does this even mean?

As for the difference quotient,
Difference Quotient= ##\frac {f \left(x+h\right) - f\left(x\right)} {h}##, h cannot equal 0.
Is this equation stating the difference from the value of the function f at x+h to the value of the function f at x? What is the purpose of the h?

I don't have a problem computing these, I just don't know what they're saying or what the purpose is behind them.
 
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opus said:
=4c+2h
What does this even mean?
It means your average rate of change depends on the range you average over. Pick a different range (different c or different h) and you get different average rate of change.
opus said:
Is this equation stating the difference from the value of the function f at x+h to the value of the function f at x?
Divided by h. Up to this point it is the same as before. Later you'll take the limit for h->0 and get the derivative.
 
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mfb said:
It means your average rate of change depends on the range you average over. Pick a different range (different c or different h) and you get different average rate of change.Divided by h. Up to this point it is the same as before. Later you'll take the limit for h->0 and get the derivative.
Ok the first part makes sense...taking the average over different ranges.
For the second part, I don't understand what dividing by h does. It makes sense in the average rate of change formula- change in y over change in x. But what does dividing by h do in the difference quotient formula?
 
opus said:
For the second part, I don't understand what dividing by h does.
The same as above, it gives the average rate of change. Your two fractions are exactly the same, just with c plugged in for x in the first one.

(c+h)−c = h
 
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Ohhhh okay. I've got it now. Thank you mfb.
 
opus said:
Ok the first part makes sense...taking the average over different ranges.
For the second part, I don't understand what dividing by h does. It makes sense in the average rate of change formula- change in y over change in x. But what does dividing by h do in the difference quotient formula?
A quotient of differences means you draw a secant, which represents your average. Its slope depends on the range ##b-a=h## you define for it, the denominator. Therefore we narrow down this distance and get a tangent as limit. Wikipedia has some nice pictures included: https://en.wikipedia.org/wiki/Tangent.
So you divide anyway, it is simply a difference in notation:
$$
\dfrac{f(b)-f(a)}{b-a}=\dfrac{f((b-a)+a)-f(a)}{b-a}=\dfrac{f(h+a)-f(a)}{h}
$$
where we set ##h=b-a## and if you like ##a=x##, in order to get the exact formula of your difference quotient. The limit process is only to get from secants to a tangent, because secants are many, but the tangent is only one, and we want to have a definition which is not many possibilities.

The last substitution ##x=a##, however, is very important! It says, that we actually have a point ##a## where the tangent is placed at, not a variable ##x##. If we pretend as if this was the same, we identify the tangent ##t(a)## with the function ##x \mapsto t(x)\,##, although these are two distinct things: one is a single line ##t(a)##, the other is a relation of location ##x## to unique lines ##t(x)##. The notation ##f'(x)## often leads to the fact, that this distinction is forgotten.
 
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Oh wow. That is a great explanation. I'm going to need to put a little time into that to fully understand what you're saying, but relating it like that is so helpful. I'll be back with questions!
 
@fresh_42: I think you are missing -f(a) in the last fraction.
 
mfb said:
@fresh_42: I think you are missing -f(a) in the last fraction.
Yep, corrected and thanks! I could have bet that someone would complain about my very sloppy (and wrong) identification of tangents with their slopes, resp. the derivative. I hadn't expected a typo, though.

To explain this comment @opus:

The limit of the quotient of differences is the first derivative. It is a function that relates points ##x=a## to slopes ##\dfrac{d}{dx}f =f(x) ## at this point ##\left. \dfrac{d}{dx} \right|_{x=a} f(x) = f'(a)## of the tangent line at ##a##, whose full equation is ##t(x)=t_a(x)=f'(a)\cdot x + f(a) - f'(a)\cdot a ##. When people speak of derivatives as linear approximation to a function ##f(x)##, they mean that the straight tangent is a good approximation to the function in a small neighborhood of the point, where the tangent is considered.

So all in all we have the following situation:
  • ##\dfrac{f(b)-f(a)}{b-a} = \dfrac{f(x+h)-f(x)}{h}## is the slope of a secant from ##x=a## to ##x=b##, resp. from ##x## to ##x+h##. As this is a specific point at which we consider secants, it would have been better to write ##x=a## instead. If we narrow down the distance between ##x=a## and ##x=b##, that is ##h \rightarrow 0##, we will get a tangent line at this point, which is the result of limit process here.

  • The limit is the slope of the tangent. We write this slope of the tangent ##t_a(x)## at the point ##x=a## as ##f'(a)=\lim_{h \to 0} \dfrac{f(a+h)-f(a)}{h} =\left. \dfrac{d}{dx} \right|_{x=a}f(x)##

  • The relation ##\text{ location } \rightarrow \text{ slope }## at a point is a function itself: the (first) derivative ##x \longmapsto f'(x)##, sometimes also called differential.

  • The tangent ##t_a(x)## at the point ##x=a## itself is of course not only the slope, but also the fact that this line shares exactly one point with the function, namely ##(f(a),a) = (t_a(a),a)##. Therefore we get the straight line ##t_a(x)=f'(a)\cdot x + f(a) - f'(a)\cdot a ##. Now you might object, that a tangent still can intersect the function at another point further away. This is true. It demonstrates another important property of differentiation: Differentiation is a local property - here at the point ##x=a## - and we are only interested in what's going on here. Whether this tangent line crosses the function again somewhere else doesn't bother us, only that it is no secant at ##x=a##.

  • Last but not least, we can concentrate on the slope alone. That is, we only consider the linear part of the tangent function: ##f'(a)\cdot x##, which basically means to parallel translate the tangent ##t_a(x)## along the ##x-##axis until it crosses the origin. Thus we have mapped a location, a point ##x=a## to a linear function ##\nabla_a f = (\, x \longmapsto f'(a)\cdot x \,)##, i.e. the multiplication by the slope ##f'(a)## at ##a##. This is meant, if people speak of derivatives as linear functions. This becomes more important if physics gets involved.
All of the above could be meant if people simply write ##f'(x)##. It depends on the context, which view is in focus. In the end, it is simply the limit of your quotient of differences. Very roughly speaking we may say: the entire concept is a linear approximation of the function. The error is negligible not far away from ##x=a## so we can calculate with something linear, which is easy - curved is not as easy.
 

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