How is the dx quantity derived in using differentials to approximate values?

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The discussion centers on the derivation of the differential quantity dx in the context of using differentials to approximate values, specifically for the function f(x) = √x. The example provided approximates √99.4 by setting x = 100 and dx = -0.6, leading to the conclusion that dx represents a small change in x. It clarifies that while dx is used for approximation, true differentials in differential equations refer to infinitesimally small changes. The relationship between differentials and Taylor's series is also highlighted, emphasizing that dx is an approximation rather than an exact value. Understanding this distinction enhances clarity on the concept of differentials in calculus.
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This is a problem from a Calc 1 textbook, I just can't figure out where they get dx from. The question is:
Use differentials to approximate the value of the expresesion.
\sqrt{99.4}

the answer in the solution manual says:
Let f(x)=\sqrt{x}, x=100, dx=-.6

then it solves the problem. But what I don't understand is where the heck is this dx quantity derived from?
 
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f(x)=\sqrt{x}, x=100, dx=-.6

Your textbook is using the fact that df= f'(x)dx so that f(x+dx) is approximately
f(x)+ df= f'(x)dx.
Here, you want to evaluate f(99.4) and it easy to see that f(100)= 10 so take x= 100 and x+ dx= 99.4. What is dx?
 
Wow, I get it. It's so simple. Dx is -0.6. This also makes it more clear why it is called a differential. Thanks Ivy! Hey Ivy, are these differentials the same thing that differential equations are based on?
 
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JoshHolloway said:
Wow, I get it. It's so simple. Dx is -0.6. This also makes it more clear why it is called a differential. Thanks Ivy! Hey Ivy, are these differentials the same thing that differential equations are based on?

Though similar, they are not exactly the same thing.

In terms of differentials df=f'(x)dx is true but taking dx= -0.6 is only an approximation. In the true sense a differential can be considered as an infinitesimally small change in the variable.

You might be knowing the Taylor's series expansion of f(x+h)

f(x+h) = f(x) + hf'(x) + (h^2)/2! f"(x) + (h^3)/3! f"'(x) + ...

If h is very small relative to x, the first order approximation can be obtained as f(x+h) = f(x) + hf'(x), which is the same as the equation with differentials
f(x+dx) = f(x) + f'(x)dx

What I want to imply is that the dx in your question is an approximation but differentials in a differential equation do not signify any approximations.
 
Strictly speaking, differentials, like "dx", are "infinitesmals". When you write something like "dx= -0.6", it really is \Delta x, meaning a small change in x. One way of defining the derivative is lim_{\Delta x->0} \frac{\Delta y}{\Delta x}. You can then use \Delta x to approximate dx:
\frac{\Delta y}{\Delta x} is approximately \frac{dy}{dx} so \Delta y is approximately \(\frac{dy}{dx}\)\Delta x. The smaller \Delta x is, the better the approximation.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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