I think there is some thing wrong

  • Thread starter MIB
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In summary, there is a problem with the given exercise as it states that the Newton sequence will converge to a root for any initial point x0 in (a,b), when in fact this is not the case if the derivative vanishes at x0. However, by restating the exercise to exclude the case where the derivative vanishes at x0, the problem can be easily solved.
  • #1
MIB
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I think there is some thing wrong in this exercise which I met by chance in a book of Calculus and analysis while looking for rigorous definition for angle , it says

let f : (a,b) → ℝ be a differentiable function , suppose that f' is bounded , and that f has a root r in (a,b) . suppose that for x ≠ r , Jx denote the open interval between x and r , where if f(x) > 0 then f is convex on Jx , and if f(x) < 0 then f is concave on Jx.Then prove that for any x0 in (a,b) the Newton sequence converges to a root where x0 is it initial point .

The problem here is that we can take the initial point x0 where f'(x0)=0 .for the simplicity consider f(x) := x^3 for all x in (-4,4)
 
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  • #2
I think we must replace "f' is bounded on (a,b)" by "f' is non-zero throughout (a,b)"
 
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  • #3
MIB said:
I think there is some thing wrong in this exercise which I met by chance in a book of Calculus and analysis while looking for rigorous definition for angle , it says

let f : (a,b) → ℝ be a differentiable function , suppose that f' is bounded , and that f has a root r in (a,b) . suppose that for x ≠ r , Jx denote the open interval between x and r , where if f(x) > 0 then f is convex on Jx , and if f(x) < 0 then f is concave on Jx.Then prove that for any x0 in (a,b) the Newton sequence converges to a root where x0 is it initial point .

The problem here is that we can take the initial point x0 where f'(x0)=0 .for the simplicity consider f(x) := x^3 for all x in (-4,4)

There is no problem in this particular example because the initial point you chose is the root of your function, so you've already converged to the root and aren't going anywhere.

Try coming up with an example where the derivative vanishes at a point that is not the root of the function. Be sure to double-check that the concavity conditions of the theorem are still met in this case. If you can show that you can't pick a function with f'(x0) = 0 for which the concavity requirements are satisfied, then there is no problem with the theorem as stated.
 
  • #4
Mute said:
There is no problem in this particular example because the initial point you chose is the root of your function, so you've already converged to the root and aren't going anywhere.

Try coming up with an example where the derivative vanishes at a point that is not the root of the function. Be sure to double-check that the concavity conditions of the theorem are still met in this case. If you can show that you can't pick a function with f'(x0) = 0 for which the concavity requirements are satisfied, then there is no problem with the theorem as stated.

I know it can be very hard to think an example where the derivative vanishes at a point which is not a root , and I think it is impossible the problem is that it says " for any x0 in (a,b) the Newton sequence converges to a root where x0 is it initial point " , and then this wrong ,because the root is in (a,b) .
 
  • #5
OK I restated it as following

let f : (a,b) → ℝ be a differentiable function , suppose that f' is bounded , and that f has a root r in (a,b) . suppose that for x ≠ r , Jx denote the open interval between x and r , where if f(x) > 0 then f is convex on Jx , and if f(x) < 0 then f is concave on Jx.Then prove that for any x0 in (a,b) the Newton sequence converges to a root where x0 is it initial point where the derivative doesn't vanish at x0.

And I proved it easily then .
 

FAQ: I think there is some thing wrong

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The scientific method is a systematic approach to solving problems and answering questions through observation, experimentation, and analysis. It involves several steps including making observations, forming a hypothesis, conducting experiments, analyzing data, and drawing conclusions.

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