I must go to the higher derivatives?

  • Thread starter LagrangeEuler
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In summary, the function f(x)=x^4 has a minimum at x=0, as can be determined by using the first derivative test and checking the first non-zero derivative at that point. In this case, the second derivative f''(x) is positive everywhere except at x=0, indicating that the graph of f is concave upward and there is a minimum at x=0. The Taylor's polynomial for f up to the first non-zero derivative also shows that x=0 is a minimum for f(x).
  • #1
LagrangeEuler
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Function ##f(x)=x^4## has minimum at ##x=0##.
## f'(x)=4x^3##
##f'(0)=0##
##f''(x)=12x^2##
##f''(0)=0##
##f^{(3)}(x)=24x##
##f^{(3)}(0)=0##
##f^{(4)}(0)>0##
So what is the rule? I must go to the higher derivatives if ##f'(0)=f''(0)=0##?
 
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  • #2
LagrangeEuler said:
Function ##f(x)=x^4## has minimum at ##x=0##.
## f'(x)=4x^3##
##f'(0)=0##
##f''(x)=12x^2##
##f''(0)=0##
##f^{(3)}(x)=24x##
##f^{(3)}(0)=0##
##f^{(4)}(0)>0##
So what is the rule? I must go to the higher derivatives if ##f'(0)=f''(0)=0##?

No. You have f'(0) = 0 and f' changes from negative to positive as x changes, going left to right through zero. That's enough for you to conclude that there is at least a local minimum at zero.

Also, since f''(x) = 12x2, which is positive everywhere except at x = 0, the graph of f is concave upward, so again there is a minimum at x = 0.
 
  • #3
As Mark44 said, you can use the "first derivative test". But what you are saying is true. You can determine whether f(x) has a max or min by checking the first non-zero derivative at that point.

To see that think about writing the Taylor's polynomial for f up to that first non- zero derivative:
[tex]f(a)+ f'(a)(x- a)+ \frac{f''(a)}{2}(x- a)^2+ \cdot\cdot\cdot+ \frac{f^{(n)}}{n!}(x- a)^n[/tex]
[tex]= f(a)+ \frac{f^{n}(a)}{n!}(x- a)^n[/tex]
If n is odd x= a is a saddle point. If n is even, it is either a maximum or a minimum. If [itex]f^n(a)> 0[/itex] f increases away from x= a so that is a minimum. If [itex]f^n(a)< 0[/itex], it decreases away from x= a so that is a maximum.
 

What are higher derivatives?

Higher derivatives refer to the derivatives of a function beyond the first derivative. They represent the rate of change of a rate of change, and can be thought of as the curvature or acceleration of a function.

Why do we need to study higher derivatives?

Studying higher derivatives allows us to better understand the behavior and characteristics of a function. It can provide more precise information about the rate of change and curvature of a function, which can be useful in various fields of science and mathematics.

What are some applications of higher derivatives?

Higher derivatives have many applications in physics, engineering, and other sciences. For example, in physics, higher derivatives can be used to calculate velocity and acceleration in motion, while in engineering, they can be used to analyze the stability and control of systems.

How do you find higher derivatives?

To find higher derivatives, we use the process of differentiation. Each time we differentiate a function, we increase the order of the derivative by one. For example, the first derivative is found by differentiating the original function once, while the second derivative is found by differentiating the first derivative again, and so on.

Do all functions have higher derivatives?

Not all functions have higher derivatives. A function must be continuous and differentiable in order for it to have higher derivatives. This means that the function must have a defined value at every point and that it must be possible to find the slope of the tangent line at every point on the graph of the function.

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