Exploring the Physical Significance of the Third Derivative in Function Analysis

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In summary, the third derivative of a function represents the "jerk" in kinematics and is used in specialized areas such as physics and engineering, particularly in the design of camshafts. It indicates the rate at which acceleration is changing, and its positive value means that the acceleration is becoming steeper at an accelerating rate. This is similar to how the first and second derivatives represent the slope and concavity of a function, respectively.
  • #1
NATURE.M
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Does the third derivative have any physical significance in relation to the original function?
For instance, the first derivative is the slope function (and can be used to find the local max/min). And the second derivative demonstrates the concavity/curvature of the original function (or the rate at which the slope changes).
 
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  • #2
Here's an old post of mine that may help answer your question:
lugita15 said:
Here's a few ways to think about it. If the first derivative is positive at x=x0, then that means that if you approximated f(x) with a line y=ax+b passing through x=x0, a would be positive, and we call that "increasing" (locally). If the second derivative is positive at x=x0, then if you approximated f(x) with a parabola y=ax^2 + bx + c passing through x=x0, then a would be positive, and we call that "concave up". If the third derivative is positive at x=x0, then if you approximate f(x) with the cubic function y=ax^3 + bx^2 + cx + d passing through x=x0, then a would be positive, and we call that ... unfortunately, we don't have a name for that. But you can see for yourself what it means for the leading coefficient of a cubic function to be positive.

Also, if the third derivative is positive, that means that the second derivative is increasing, which means that the first derivative is concave up. In other words, the slope of the original graph increases faster than just a constant rate of increase. So the slope is becoming steeper at an accelerating rate!

I hope that helps.
 
  • #3
In kinematics, the third derivative of the position function represents the "jerk".
 
  • #4
Okay, I've heard the term jerk before used in a physics context, although it rarely (if ever) shows up in Physics Textbooks.
 
  • #5
Things like 'jerk' and 'jounce' find application in some specialized areas of physics and engineering:
http://en.wikipedia.org/wiki/Jerk_(physics)

For a general introduction to physics, velocity and acceleration are more commonly encountered.
 
  • #6
Jerk and its higher orders are used in the design of camshafts where higher derivatives of position are optimised to keep mechanical stresses and strains within bounds, whilst providing the largest area under the curve. e.g. in a combustion engine you want to lift the valve as quickly as possible and keep it open as long as possible etc.
 

Related to Exploring the Physical Significance of the Third Derivative in Function Analysis

What is the third derivative?

The third derivative refers to the rate of change of the second derivative of a function. It measures the curvature of the graph of a function and can be used to analyze the behavior of a function at a specific point.

How is the third derivative calculated?

The third derivative is calculated by taking the derivative of the second derivative of a function. This can be done by using the power rule, product rule, or chain rule, depending on the function being analyzed.

What does the third derivative tell us?

The third derivative can tell us about the rate of change of the curvature of a function. It can help determine if a function is concave up or down, or if it has points of inflection.

What is the significance of the third derivative in real-world applications?

The third derivative has many applications in fields such as physics, engineering, and economics. It can be used to analyze the rate of change of acceleration, as well as to determine the optimal points of a function in optimization problems.

Can the third derivative be negative?

Yes, the third derivative can be negative. This would indicate that the curvature of the function is decreasing, and the function is concave down at that point. It can also be zero or positive, depending on the behavior of the function.

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