Differentiation is Exact or Approximation

In summary, the conversation discusses the concept of differentiation and whether it is exact or just an approximation. It is argued that differentiation is exact as it is expressed as a limit, providing an outcome without uncertainty. The conversation also explores different equations involving differentiation and the use of the chain rule. Ultimately, it is concluded that differentiation is exact and provides a precise outcome.
  • #1
Devil Moo
44
1
Is Differentiation exact or just an approximation?

I am wonder whether this question is meaningful or not. Slope is expressed as "it is approaching to a value as x is approaching 0" so it is inappropriate to ask such question. But when I deal with uniform circular motion, it is very confusing.

Suppose ##A## is constant for vector ##\mathbf A##. And the angle between ##\mathbf A(t+\Delta t)## and ##\mathbf A(t)## is ##\Delta \theta##.
##\begin{align}
\Delta \mathbf A & = \mathbf A (t + \Delta t) - \mathbf A(t) \nonumber \\
| \Delta \mathbf A | & = 2A \sin (\Delta \theta / 2) \nonumber
\end{align}##

if ##\Delta \theta \ll 1##, ##\sin (\Delta \theta / 2) \approx \Delta \theta / 2##
##\begin{align} | \Delta \mathbf A | & \approx 2A (\Delta \theta / 2 \nonumber \\
& =A \Delta \theta \nonumber \\
| \Delta \mathbf A / \Delta t | & \approx A (\Delta \theta / \Delta t) \nonumber
\end{align}##

if ##\Delta t \rightarrow 0##,
##| d \mathbf A / dt | = A (d \theta / dt)##

But isn't it ##| d \mathbf A / dt | = 2A (d \sin (\Delta \theta / 2) / dt)##?

Is ##v = r \omega## not accurate compared with ##v = 2r (d \sin (\Delta \theta / 2) / dt)##?
 
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  • #2
Differentiation is exact: it is expressed as a limit and that makes for an outcome without uncertainty.

##| d \mathbf A / dt | = 2A (d \sin (\Delta \theta / 2) / dt)##
On the left you have a differential quotient, but on the right you have a differential of a difference.
With ##\theta/2 = \omega t/2## you do get the same differential ##\omega r##.
 
  • #3
By chain rule,

##\begin{align}
\frac {d\sin(\theta/2)} {d(\theta /2)}\frac {d(\theta / 2)} {d\theta} & = \frac {1} {2} \cos\frac {\theta} {2} \frac {d\theta} {dt} \nonumber \\
|\frac {d\mathbf A} {dt} | & = A\cos\frac {\theta} {2} \frac {d\theta} {dt} \nonumber
\end{align}##

It seems they are not the same differential.

Also,

##| \frac {\Delta A} {\Delta t} | \approx A\frac {\Delta \theta} {\Delta t}##

when ##t \rightarrow 0##, why it will become equality?
 

Related to Differentiation is Exact or Approximation

1. What is differentiation?

Differentiation is a mathematical process that involves finding the rate of change of a function with respect to its independent variable. It is commonly used in calculus to analyze the behavior of functions and solve problems involving rates of change.

2. What is the difference between exact and approximate differentiation?

Exact differentiation involves finding the exact value of the derivative of a function using mathematical rules and formulas. Approximate differentiation, on the other hand, involves using numerical methods to approximate the value of the derivative at a specific point or interval.

3. When should I use exact differentiation and when should I use approximate differentiation?

Exact differentiation should be used when the function is simple and its derivative can be easily calculated using mathematical rules. Approximate differentiation should be used when the function is complex and its derivative cannot be easily calculated, or when only an approximate value is needed.

4. What are some examples of exact differentiation?

Examples of exact differentiation include finding the derivative of a polynomial function, trigonometric function, or exponential function using the appropriate differentiation rules.

5. How is approximate differentiation calculated?

Approximate differentiation is typically calculated using numerical methods such as the finite difference method, the secant method, or the Newton's method. These methods involve approximating the derivative by calculating the slope of a tangent line at a point or by using a small interval to estimate the change in the function.

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