Please explain the intermediate value theorm for me please.

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Homework Help Overview

The discussion revolves around the Intermediate Value Theorem (IVT) in the context of finding roots of the polynomial equation x^4 + x - 3 = 0 within the interval (0, 2). Participants express confusion about the theorem's application and the computational steps involved in demonstrating the existence of a root.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants attempt to evaluate the function at specific points to identify changes in sign, indicating the presence of a root. Questions arise about the rationale behind averaging values and the process of narrowing down intervals based on function evaluations.

Discussion Status

There is an ongoing exploration of the method for applying the IVT, with participants sharing their evaluations and reasoning. Some guidance is provided regarding the process of comparing function values and the significance of sign changes, but no consensus on a final answer is reached.

Contextual Notes

Participants mention the need for continuity of the function over the interval and express uncertainty about the computational steps and the reasoning behind certain approaches suggested by the professor.

TitoSmooth
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I did not understand the Intermediate Value Theorem explained today in class. The professor did not even go to his office hours :(.Use the intermediate Value to show that there is a root of the given equation in the specified interval.

#51 in Stewart's Calculus 7th ed. (section 1.8)

x^4 + x - 3=0

What I know so far. the equation or function has to be continuous throughout the given interval.

ie (0,2) so f(0)<c<f(1)

we plug in the x's into the equation and get the Y values then we compare them.my problem is i do not understand the computation.

Can someone please give me a step by step approach the problem? Thanks.
 
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So you're trying to find where x^4+x-3=0.

Trying x=0 gives us 0^4+0-3=-3 and x=2 gives 2^4+2-3=16+2-3=15

So at x=0, the y value is -3, and at x=2 the y value is 15. This means that somewhere in the interval (0,2) the function must have cut across the x-axis (y=0) because the function is continuous and needs to go from a negative value at x=0 to a positive value at x=2.

If you try x=1 you'll get 1^4+1-3=-1 so then the interval that the root is located can be shortened to (1,2). You can then test, say, 1.5 and see whether that's a positive of negative value. If it's negative, then the interval is (1.5,2) but if it's positive, then the interval is (1,1.5).
 
so if i got it right.

we evaluate the function. 1<c<2

f(1)= - value
f(2)= + value

so now, we take the average of 1&2. which gives us x=1.5 (dont ask me why proffesor told us to do it this way in lecture)

now, we find f(1.5)

f(1.5)= + value. we compare f(1) & f(1.5.)-----> 1<c<1.5

take the average of 1 &1.5. gives us x=1.25

f(1.25)= + value. then we compare f(1.25) & f(1.5)

yet f(1.25) &f(1.5) are both positive. The theorem if I understand means it is between a negative and positive value.

so my answer is actually 1<c<1.5 ?
 
TitoSmooth said:
so if i got it right.

we evaluate the function. 1<c<2

f(1)= - value
f(2)= + value

so now, we take the average of 1&2. which gives us x=1.5 (dont ask me why proffesor told us to do it this way in lecture)

now, we find f(1.5)

f(1.5)= + value. we compare f(1) & f(1.5.)-----> 1<c<1.5

take the average of 1 &1.5. gives us x=1.25

f(1.25)= + value. then we compare f(1.25) & f(1.5)

yet f(1.25) &f(1.5) are both positive. The theorem if I understand means it is between a negative and positive value.

so my answer is actually 1<c<1.5 ?

Why would you compare f(1.25) and f(1.5)? If f(1.25) is positive, then the root c must lie between 1 and 1.25, so you then calculate the function value at the average of those x values which is f(1.125), and continue on with that process. We are always comparing two y values that are opposite in sign, because the function must go from positive to negative (or vice versa) hence it must have a root in that interval.

The reason we find the average of the values is because it's an easy algorithm to follow. Realistically, you could make educated guesses such as knowing that since f(1) = -1 and f(2) = 15 then the root is very likely to be closer to x=1 than x=2.
 
Mentallic said:
Why would you compare f(1.25) and f(1.5)? If f(1.25) is positive, then the root c must lie between 1 and 1.25, so you then calculate the function value at the average of those x values which is f(1.125), and continue on with that process. We are always comparing two y values that are opposite in sign, because the function must go from positive to negative (or vice versa) hence it must have a root in that interval.

The reason we find the average of the values is because it's an easy algorithm to follow. Realistically, you could make educated guesses such as knowing that since f(1) = -1 and f(2) = 15 then the root is very likely to be closer to x=1 than x=2.

the reason I compared f(1.25) and f(1.5) was to see if the signs were opposite of each other. which was not the case. So I reverted to (1,1.25) in the last line of my previous post. Thanks
 
TitoSmooth said:
so if i got it right.

we evaluate the function. 1<c<2

f(1)= - value
f(2)= + value

so now, we take the average of 1&2. which gives us x=1.5 (dont ask me why proffesor told us to do it this way in lecture)

now, we find f(1.5)

f(1.5)= + value. we compare f(1) & f(1.5.)-----> 1<c<1.5

take the average of 1 &1.5. gives us x=1.25

f(1.25)= + value. then we compare f(1.25) & f(1.5)

yet f(1.25) &f(1.5) are both positive. The theorem if I understand means it is between a negative and positive value.

so my answer is actually 1<c<1.5 ?

The reason your prof. asked you to do it this way is that he/she is introducing you to one of the standard equation-solving methods called "Bisecting Search". It is absolutely reliable, even in the worst case (unlike some faster methods) and yet its convergence rate is reasonably attractive. Every time you evaluate f(x) at a new point you reduce the interval of uncertainty by 50%. There are numerous much faster methods, but almost all of them can fail on some problems.
 

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