Is the Bisection Technique accurate for finding roots on a closed interval?

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Discussion Overview

The discussion revolves around the accuracy of the Bisection Technique for finding roots of functions within a closed interval. Participants explore its application, limitations, and the conditions under which it operates effectively, particularly in relation to the function f(x) = x².

Discussion Character

  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant expresses confusion regarding the application of the Bisection Technique to the interval [1,2] for the function f(x) = x², suggesting that it should yield roots despite the function not being zero in that interval.
  • Another participant clarifies that since f(x) = x² does not equal zero in the interval [1,2], the algorithm's output is correct, indicating a misunderstanding of the definition of a root.
  • A third participant points out that the algorithm's effectiveness may depend on the function being one-to-one or monotonic within the interval, citing that a parabola with a vertex below the x-axis could lead to failures in finding roots if the interval is too wide.
  • Another contribution critiques the linked algorithm's clarity, noting that the signs at the endpoints of the interval can indicate the presence or absence of roots and that users must understand the function well enough to select a valid interval.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the application of the Bisection Technique to the specific example provided. While some assert that the algorithm is functioning correctly, others highlight potential misunderstandings and limitations of the method.

Contextual Notes

There are unresolved assumptions regarding the nature of the function and the conditions necessary for the Bisection Technique to yield accurate results. The discussion also reflects on the importance of understanding the function's behavior within the chosen interval.

MathematicalPhysicist
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in this page they are descrbing the forthmentioned technique.
and I am quite puzzled, because if i get this interval:
[1,2]
let's take the equation f(x)=x^2.
now if we follow the algorithm we find that there might not be a root between them, which is ofcourse absurd. (sqrt2 and sqrt3 are ofcourse included inbetween).

anyway, here is the page http://spiff.rit.edu/classes/phys317/lectures/closed_root/closed_root.html
 
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'root' means that f(x) = 0

clearly x^2 is not 0 in the interval you mention, so the algorithm is correct

given that everything in the interval [1,2] is the square root of *something*, even your logic there is flawed.
 
The roots or zeros of a function are synonymous with the "x-intercepts" of that function.

The article doesn't mention that the function has to be one-to-one or either increasing or decreasing within the interval for the algorithm to work properly. (Consider a parabola with a vertex below the origin between an interval [x1, x2]. If x2-x1 is greater than the distance between the roots, the algorithm doesn't work.)
 
The linked algorithm is poorly written. Like signs at the end points of the test interval indicate either no roots or an EVEN NUMBER of roots on the interval. Like wise a sign change on the interval means an odd number of roots on the test interval. The user of the algorithm must have sufficient knowledge of the function to pick a valid starting interval. The best way to get the need information is to plot the function.
 

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