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

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In summary, differentials can be seen as infinitesimally small changes in a variable and are used in calculus to approximate values. In the context of differential equations, differentials do not signify approximations, but rather are used to express the relationship between variables in an equation.
  • #1
JoshHolloway
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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.
[tex]\sqrt{99.4}[/tex]

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

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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  • #2
[tex]f(x)=\sqrt{x}, x=100, dx=-.6[/tex]

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?
 
  • #3
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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  • #4
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.
 
  • #5
Strictly speaking, differentials, like "dx", are "infinitesmals". When you write something like "dx= -0.6", it really is [tex]\Delta x[/tex], meaning a small change in x. One way of defining the derivative is [tex]lim_{\Delta x->0} \frac{\Delta y}{\Delta x}[/tex]. You can then use [tex]\Delta x[/tex] to approximate dx:
[tex]\frac{\Delta y}{\Delta x}[/tex] is approximately [tex]\frac{dy}{dx}[/tex] so [tex]\Delta y[/tex] is approximately [tex]\(\frac{dy}{dx}\)\Delta x[/tex]. The smaller [tex]\Delta x[/tex] is, the better the approximation.
 

What is a simple differential problem?

A simple differential problem is a mathematical problem that involves finding an unknown function by solving a differential equation. The differential equation represents the relationship between the unknown function and its derivatives.

What are the types of differential equations?

There are three types of differential equations: ordinary differential equations (ODEs), partial differential equations (PDEs), and stochastic differential equations (SDEs). ODEs involve only one independent variable, PDEs involve two or more independent variables, and SDEs involve randomness in the equation.

How do you solve a simple differential problem?

To solve a simple differential problem, you first need to identify the type of differential equation and its order. Then, use appropriate techniques such as separation of variables, integrating factors, or substitution to solve the equation and find the unknown function.

What are the applications of simple differential problems?

Simple differential problems have a wide range of applications in various fields such as physics, engineering, economics, and biology. They are used to model and analyze real-world phenomena, predict future behavior, and make informed decisions.

What are the limitations of solving simple differential problems?

Solving simple differential problems can be challenging and time-consuming, especially for higher-order equations or complex systems. Additionally, the solutions obtained may not always be accurate due to the assumptions and simplifications made in the model.

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