Problem Set - Integral approximations and FTC

Problem Set - Integral aproximations and the Fundamental Theorem of Calculus
620-295 Semester I 2010

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

and

Department of Mathematics
University of Wisconsin, Madison
Madison, WI 53706 USA
ram@math.wisc.edu

Last updates: 20 April 2010

(1) The fundamental theorem of calculus
(2) Integral approximations

The Fundamental Theorem of Calculus

What does a b f x d x mean?
How does one usually calculate a b f x d x  ? Give an example which shows that this method does not always work. Why doesn't it?
Give an example which shows that a b f x d x is not always the true area under f x between a and b even if f x is continuous between a and b .
What is the Fundamental Theorem of Calculus?
Let f x be a function which is continuous and let A x be the area under f x from a to x . Compute the derivative of A x by using limits.
Why is the Fundamental Theorem of Calculus true? Explain carefully and thoroughly.
Give an example which illustrates the Fundamental Theorem of Calculus. In order to do this, compute an area by summing up the areas of tiny boxes and then show that applying the Fundamental Theorem of Calculus gives the same result.
Draw a picture illustrating the identity ac f(x) dx = ab f(x) dx + bc f(x) dx . The fundamental theorem of calculus should indicate that there could be a corresponding identity for derivatives. What could it be?
Draw a picture illustrating the identity ab f(x) + g(x) dx = ab f(x) dx + ab g(x) dx The fundamental theorem of calculus indicates that there should be a corresponding identity for derivatives. What is it?
The fundamental theorem of calculus indicates that there should be an identity for integrals corresponding to the product rule for derivatives. What is it?
Draw a picture illustrating the identity, if α is a constant then ab αf(x) dx = α ab f(x) dx . The fundamental theorem of calculus indicates that there should be a corresponding identity for derivatives. What is it?
Draw a picture illustrating the following property in terms of areas: if mf(x) M for axb then m(b-a) ab f(x) dx M(b-a) . The fundamental theorem of calculus indicates that there should be a corresponding identity for derivatives. What is it?

Riemann, Trapezoidal and Simpson approximations

Define the Riemann integral.
Define the trapezoidal integral.
Define Simpson's integral.
Determine the area of a trapezoid with left edge at x=l , right edge at x=l+Δx , left height f(l) , and right height f(l+Δx) .
Determine the area of a parabola topped slice with left edge at x=l , right edge at x=l+2Δx , middle at x=l+Δx , left height f(l) , middle height f(l+Δx) , and right height f(l+2Δx) .
Let N be a positive integer. Show that adding up N trapezoidal slices gives the approximation to ab f(x) , dx given by Δx2 ( f(a) + 2f(a+Δx) + 2f(a+2Δx) ++ 2f(b-Δx) + f(b) ) , where Δx= b-aN .
Let N be an even positive integer. Show that adding up N parabola topped slices gives the approximation to ab f(x) , dx given by Δx2 ( f(a) + 4f(a+Δx) + 2f(a+2Δx) ++ 4f(b-Δx) + f(b) ) , where Δx= b-aN .
Let T4 be the trapezoidal approximation with N=8 slices for the integral 01 (1+x2)-1 dx . Show that | f(x) | 2 for x[0,1] and that | T4-14π | 1/96 <0.0105 .
Use the trapezoidal approximation with N=4 slices to approximate the integral log2 = 12 x-1 dx . Show that 0.6866log20.6958 .
Use Simpson's approximation with N=4 slices to approximate log2 . Show that 0.6927log20.6933 .
Compute a trapezoidal approximation with N=8 slices for the integral 01 e-x2 dx .
Compute a trapezoidal approximation with N=16 slices for the integral 01 e-x2 dx .
Compute a Simpson approximation with N=8 slices for the integral 01 e-x2 dx .
Compute a Simpson approximation with N=16 slices for the integral 01 e-x2 dx .
Compute a trapezoidal approximation with N=8 slices for the integral 0π/2 sinxx , dx .
Compute a trapezoidal approximation with N=16 slices for the integral 0π/2 sinxx , dx .
Compute a Simpson approximation with N=8 slices for the integral 0π/2 sinxx , dx .
Compute a Simpson approximation with N=16 slices for the integral 0π/2 sinxx , dx .
How many terms of the alternating series n=1 (-1) n+1 n4 are needed to find the sum to an accuracy of 0.001?
How many terms of the alternating series n=1 (-2) n n! are needed to find the sum to an accuracy of 0.01?
Estimate the integral 01 sinx2 dx to three decimal places by integrating the Maclaurin series for sinx2 . Use the remainder estimate for alternating series to justify the result.
The integral 01 sinx x dx is difficult to approximate using, for example, left Riemann sums or the trapezoidal rule because the integrand sinx x is not defined at x=0 . However, this integral converges, its value is approximately 0.94608.... Estimate the integral using Tyalor polynomials for sinx about x=0 of degree 5.
Derive the midpoint approximation for ab f(x) , dx . With N slices it is obtained by adding up the areas of rectangles with height equal to the value of the function at the midpoint of the interval. Show that the error estimate is given by | ab f(x) , dx - MN | (b-a)3 24n2 M , where M is an upper bound for |f(x)| on [a,b] .

Additional problems -- NOT required for Assignment 4, 2010.

Use the mean value theorem to prove that if f is continuous on the closed interval [a,b] , and differentiable on the open interval (a,b) , witha a bounded derivative, then f is Riemann integrable on [a,b] .
Is f(x)= { 1, if x, 0, if x, integrable on [0,1] ?
Give an example of a function that is bounded on the interval [0,1] but is not Riemann integrable on that interval.
Explain carefully why you know that the function f defined by f(t) = et is Riemann integrable on the interval [0,1000].
Compute a trapezoidal approximation with N=4 slices for the integral 02 (1+x2 ) dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=8 slices for the integral 02 (1+x2 ) dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=4 slices for the integral 01 e-x dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=8 slices for the integral 01 e-x dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=4 slices for the integral 0π/2 sinx dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=8 slices for the integral 0π/2 sinx dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=4 slices for the integral 01 (1+x2) -1 dx and obtain a bound for the error.
Compute a trapezoidal approximation with N=8 slices for the integral 01 (1+x2) -1 dx and obtain a bound for the error.
Compute a Simpson approximation with N=4 slices for the integral 02 (1+x2 ) dx and obtain a bound for the error.
Compute a Simpson approximation with N=8 slices for the integral 02 (1+x2 ) dx and obtain a bound for the error.
Compute a Simpson approximation with N=4 slices for the integral 01 e-x dx and obtain a bound for the error.
Compute a Simpson approximation with N=8 slices for the integral 01 e-x dx and obtain a bound for the error.
Compute a Simpson approximation with N=4 slices for the integral 0π/2 sinx dx and obtain a bound for the error.
Compute a Simpson approximation with N=8 slices for the integral 0π/2 sinx dx and obtain a bound for the error.
Compute a Simpson approximation with N=4 slices for the integral 01 (1+x2)-1 dx and obtain a bound for the error.
Compute a Simpson approximation with N=8 slices for the integral 01 (1+x2)-1 dx and obtain a bound for the error.

References

[Ca] S. Carnie, 620-143 Applied Mathematics, Course materials, 2006 and 2007.

[Ho] C. Hodgson, 620-194 Mathematics B and 620-211 Mathematics 2 Notes, Semester 1, 2005.

[Hu] B.D. Hughes, 620-158 Accelerated Mathematics 2 Lectures, 2009.