Strange UBC approximation question

In summary, the conversation discusses a question from an AP Calculus homework package that involves finding a value for M that guarantees the error in using a tangent line as an approximation for a function on the interval [-2,2] is smaller than M. The conversation also mentions using Taylor polynomials and error theorems to solve the problem. The value of M should be greater than 1/16, which is the maximum for abs(f''(x)) over all x. Additionally, x should be any number in the interval [-2,2] and M should be greater than x^2/32.
  • #1
Mr. Snookums
20
0
I'm in AP Calculuc and was given a homework package, which is an old university introductory calculus exam. There is one particular question with which I'm having a terrible time.

It is known that f(0)=5 and the tangent line to the graph of f(x) at (0,5) is y=5+3x. It is also known that abs(f''(x))<1/16 for all x. Determine a value of M (as small as possible) such that the error in using the tangent line as an approximation of f(x) on the interval [-2,2] is guaranteed to e smaller than M.

This is quite confusing. I don't even know what I should be approximating, and I don't know what M represents.

I know the rules say that we should post our attempts at the problem, but I honestly have no idea where to start other than drawing a diagram of this.
 
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  • #2
You know abs(f''(x)) < 1/16, but what if it were equal to 1/16? What if it were equal to -1/16? What would be the maximum error in those cases?
 
  • #3
M is an upper bound to |5+3x-f(x)| as x ranges over [-2,2]. |5+3x-f(x)| is the distance of this tangent line to the function at the point x, e.g. at x=0 we get 0 since f(0)=5.

You know f(0), so to get bounds on f(x) it would be enough to find f(x)-f(0). What would you need information about to bound a change in f like this?
 
  • #4
Thank you for answering.

Is it assumed that when we see M in this type of question that it is the upper bound?

From where do we get abs(5+3x-f(x))?

My teacher told me it was a Taylor series problem, so the error would be:

abs((1/2)(yo'')(x-xo)^2)

Am I on the right track?
 
  • #5
Yes, that's right. The tangent line to y= f(x) at (x0,y0, y= f'(x0)(x- x0)+ y0, is just the first order Taylor's polynomial and so you can use the error formula for Taylor's polynomial. Don't use y0" for the second derivative however, for two reasons: first y0 is a number not a function so it doesn't make sense to differentiate it. I presume you really meant
y"(x0) or f"(x0). Second, even that's not correct. The second derivative should be evaluated at some unknown value between x and x0. Since the value is unknown, the best you can do is use a maximum value for the second derivative in that interval.
Fortunately, you are told "abs(f''(x))<1/16 for all x."
 
  • #6
Mr. Snookums said:
From where do we get abs(5+3x-f(x))?

That would be the absolute error between the function and the line you are using to approximate it. By the way, my post was assuming you didn't know Taylor polynomials (with relevant error theorems) and had to derive an error "from scratch". Since you do know this what you've done is fine, given what Halls has pointed out.
 
  • #7
So now I just plug 1/16 in for f''(xo) and make M greater than it? What about x?

M>x^2/32.

Is x any number in the interval [-2,2]?
 

FAQ: Strange UBC approximation question

What is the Strange UBC approximation question?

The Strange UBC approximation question is a mathematical problem that involves approximating the integral of a function using a method known as the Strange UBC approximation.

What is the purpose of the Strange UBC approximation?

The Strange UBC approximation is used to estimate the value of an integral when the exact solution is difficult or impossible to calculate. It is often used in physics and engineering to simplify complex calculations.

How does the Strange UBC approximation work?

The Strange UBC approximation works by dividing the area under a curve into a series of smaller, simpler shapes (such as rectangles or trapezoids), and then calculating the area of each shape. These areas are then added together to get an approximate value for the integral.

What are the limitations of the Strange UBC approximation?

The Strange UBC approximation is not always accurate and can only provide an estimate of the integral. It also requires a significant amount of computation to achieve a more precise result.

How is the Strange UBC approximation different from other approximation methods?

The Strange UBC approximation is a specific method that uses a different approach than other common approximation methods, such as Simpson's rule or the trapezoidal rule. It is based on the concept of dividing the area under the curve into smaller shapes, rather than using a specific formula to approximate the function.

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