Geometrical representation of the nth derivative

In summary, the first derivative represents the slope of a tangent at a point on the function's curve, while the second derivative represents the concavity of the function's curve. The third derivative, also known as "jerk," measures the speed of the speed at which the slope is changing, and can reveal global properties of the curve. However, beyond the fourth derivative, there is little significance placed on these higher order derivatives.
  • #1
AlbertEinstein
113
1
The first derivative represents the slope of a tangent at a point on the function's curve.
The second derivative represents the concavity of the function's curve.
However I am unable to figure out what the other derivatives of a function represent either physically or geometrically.
Pleae help.
 
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  • #2
Well if the 2nd derivative measures the speed at which the slope is changing , the 3rd derivative measures the speed of the speed at which the slope is changing, i.e. the acceleration of the slope.

That's as deep as I can get. I don't know what that says about the geometry of the curve.
 
  • #3
One thing I can tell you is that while knowing a finite number of derivatives of a curve at a point gives you local properties of the curve, knowing the derivatives of all orders tells you global properties via Taylor's theorem. For example, when physicists want a local theory, they cannot use operators that involve derivatives of all orders.
 
  • #4
Hmm... did not know that there was a 3rd dirivative. Guess your learn something new every day!
 
  • #5
Sometimes the second derivative yields no information about concavity. Consider the two different functions f(x) = x^4 and g(x) = -x^4. These two functions have different concavities, but if evaluated at (0, 0), their second derivative is the same. A higher derivative will reveal their different orientations at (0, 0).
Physically, the name "jerk" is given to the third derivative of a position function with respect to time. There are standardized limits placed on jerk for things as simple as starting and stopping trains. Limits are placed on much higher derivatives for sensitive instruments like the Hubble telescope. Very few people have deemed it necessary to give names to these quantities beyond fourth derivative, fifth derivative and so on.
 
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FAQ: Geometrical representation of the nth derivative

What is the geometrical representation of the nth derivative?

The geometrical representation of the nth derivative is a graphical representation of the rate of change of the rate of change of a function. It shows the slope of the slope of a curve at a specific point.

How is the nth derivative related to the original function?

The nth derivative is related to the original function by representing the rate of change of the (n-1)th derivative. In other words, the nth derivative is the derivative of the (n-1)th derivative, and so on. It provides a deeper understanding of the behavior of the original function.

What information can be derived from the geometrical representation of the nth derivative?

The geometrical representation of the nth derivative can provide information about the concavity, inflection points, and extreme values of a function. It can also show the rate of change of the rate of change at a specific point, which can be useful in applications such as optimization problems.

How is the geometrical representation of the nth derivative different from the first derivative?

The geometrical representation of the nth derivative is different from the first derivative because it represents the rate of change of the rate of change, while the first derivative represents the rate of change of the original function. It provides a more detailed view of the behavior of the function compared to just the first derivative.

How can the geometrical representation of the nth derivative be used in real-world applications?

The geometrical representation of the nth derivative can be used in real-world applications to analyze and understand the behavior of physical phenomena, such as motion and acceleration. It can also be used in engineering and economics to optimize processes and predict outcomes based on the rate of change of a function.

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