What Happened 11/16
On Thursday 11/16, Dr. Kerckhove lectured in Dr. LeCrone’s absence. The topic of the day was Riemann Integration.
Dr. K began with a definition of Riemann Integration and then went through an outline of what we would cover:
- Computing Riemann sums to approximate Riemann Integral
- Controlling error
- Systematic way to improve a given estimate
- If all sequences of improved values converge to the same number, then that number is the Riemann Integration result.
- A theorem that characterizes properties of the function f that guarantee steps 1-4 will work to produce exactly one result
We then covered several definitions:
- f is bounded on [a,b]
- a partition P of [a,b], as well as the set of all possible partitions of [a,b],
- A refinement Q of a given partition P
- We looked at the example and after examining the right end point sum produced a lemma
- Lemma: Under certain conditions, if Q is a refinement of P, then
- From a given f,[a,b], P we can construct
- The Lower Sum for f over [a,b] using P (denoted )
- The Upper Sum (denoted )
We then produced the following Lemma:
For a lower sum built from P if we take a refinement Q of P the the lower sum for the refinement satisfies $latex L(f,[a,b],Q)\geq L(f,[a,b],P)$ and . Moreover $s=latex \Sigma_{k=1}^n f(x)(x_k-x_{k-1})$ is any Riemann sum built from P , then .
A proof of the moreover section of the lemma was then produced.
We made two observations:
- For any estimate
- If Q is a refinement of P then
This was followed by defining the notation and
We then defined what it meant to be Riemann integrable ().
We finished class with an example of a non-Riemann integrable function: The Dirichlet function on [0,1].
Thank you for the synopsis of the lecture in my absence. Good post!