What Does the Third Derivative Mean?

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SUMMARY

The third derivative of a function, known as "jerk," represents the rate of change of acceleration and has significant implications in physics and engineering. It is crucial for determining the maxima and minima of functions, as well as analyzing the convexity of functions. For instance, if the first and second derivatives of a function are zero, a non-zero third derivative indicates the presence of a local extremum, depending on its sign. Additionally, in differential equations, higher-order derivatives can simplify problems by reducing the number of unknown functions, as seen in the Boussinesq equation types in fluid mechanics.

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  • Understanding of calculus, specifically derivatives
  • Familiarity with concepts of maxima and minima in functions
  • Knowledge of differential equations and their applications
  • Basic principles of physics related to motion and acceleration
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  • Research the implications of the Boussinesq equation in fluid mechanics
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  • Learn about the mathematical definition and applications of "jerk" in engineering contexts
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It's the rate of change of the slope of the first graph.
 
Or for example when we want to find a functions maxima or minima, or to determine the convexity of a function. FOr example if f'=f''=0 then if f''' is different from zero the function has a minima of maxima depending on the sign of the f'''.
 
Here's a neat example. Suppose when driving a car, the car's acceleration is proportional to the position of your foot on the pedal. Now if your foot is moving with some velocity, then the third derivative of the car's motion is proportional to the velocity of your foot. And if your foot is moving with some acceleration the then the 4th derivative of the car's motion is proportional to the acceleration of your foot.

The third derivative (the jerk) has some other important implications in physics and engineering.
http://en.wikipedia.org/wiki/Jerk
 
It's the third derivative of a function.
That's its "meaning".

In some approximative schemes of differential equations, it can be advantageous to express one of the unkown functions in terms of the derivatives of another unkown, thereby reducing the number of unkown functions to be found by increasing the order of the resulting diff.eq(s).
Thereby, third-and higher order derivatives may enter in the diff.eq, even if it starts out like at most a second-order problem like Newton's F=ma


The Boussinesq equation types in fluid mechanics are examples of that.
 
Could anyone tell me more detail about third derivative of distance and of others? What does it use for? What about fourth derivative, 5th...?
And my 2nd question is: a mouvement of a object notice by this system equation: x(t)=vxt+x0, y(t)=vy.t+y0, z(t)=vz.t+z0. What is the equation of trajectory, f(x,y,z)=?
Thanks in advance for any reply!

Chhun...
 
Relativistic Momentum, Mass, and Energy Momentum and mass (...), the classic equations for conserving momentum and energy are not adequate for the analysis of high-speed collisions. (...) The momentum of a particle moving with velocity ##v## is given by $$p=\cfrac{mv}{\sqrt{1-(v^2/c^2)}}\qquad{R-10}$$ ENERGY In relativistic mechanics, as in classic mechanics, the net force on a particle is equal to the time rate of change of the momentum of the particle. Considering one-dimensional...

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