Chapter 10 Workbook: Approximating an Integral: Understanding Area, Accumulation, and Riemann Sums


Activity 1 — What Does “Area Under a Curve” Mean?

Activity 1A: Area Under a Constant Function

Consider the function
\[ f(x) = 3 \quad \text{on } [0,5]. \]

Prompt (Think–Pair–Share):

  • What does the graph of this function look like?
  • How would you describe the “area under the curve” in plain language?
  • Can you calculate the area?













What if f represented the velocity and x represented time

  • What would the area under the curve represent?

\[ v(t) = 3 \quad \text{on } [0,5]. \]








Key takeaway:
Summary:








Activity 1B: Area Under a Piecewise Linear Function

Consider the following piecewise description (a graph should be provided):

  • From \(x = 0\) to \(x = 2\): \(f(x) = 2\)
  • From \(x = 2\) to \(x = 5\): a straight line from \(f(2) = 2\) to \(f(5) = 6\)

Guiding Questions:

  • What is the accumulation of this function between [0 5]?













Key takeaway:
Summary:








Activity 1C (Student Extrapolation): Area from Discrete Data

You are given the following table of values:

\(x\) 0 1 2 3 4
\(f(x)\) 2 3 5 4 6

Prompt:

  • In this case no function is given to us. Just the data points.
  • Estimate the area from \(x = 0\) to \(x = 4\)?













Reflection:

  • What assumptions are you making?
  • How might different assumptions change your estimate?






Activity 1D: Area Under a Continuous Function

Consider the function
\[ f(x) = x^2 \quad \text{on } [0,2]. \]

Discussion Prompts:

  • Why can’t we use simple geometry here?
  • What makes this harder than the previous examples?
  • Ideas on how we could ‘approximate this area’?






Activity 2 — The Big Picture: Riemann Sums

Reading the Math

Prompt

  • Can you decipher what this is telling us to do?





    \[ \sum_{i=1}^{n} f(x_i)\,\Delta x \]





Activity 2A: Left-Hand Riemann Sum

We return to the function
\[ f(x) = x^2 \quad \text{on } [0,2]. \]

Now lets pull together the variables we need

\(\Delta x\)







\(f(x_i)\)













\(\sum_{i=1}^{n} f(x_i)\,\Delta x\)














Activity 2B: Right-Hand and Midpoint Sums

Prompt:

  • If the left-hand sum samples the left endpoint of each subinterval:
    • Where would the right-hand sum sample?
    • Where would the midpoint sum sample?






Student Tasks: Calculate the right-hand and midpoint Riemann sums for \[ f(x) = x^2 \quad \text{on } [0,2]. \] [Hint: Create a process, build a table of data points, their function values, then calculate the sum]














Activity 3 — Choosing a Method: Conservative vs Optimistic Estimates

Discussion Activity

Assume the function is increasing on the interval.

Small-Group Discussion Prompts:

  • Which method gives a conservative estimate?
  • Which method gives an optimistic estimate?
  • When might overestimating be safer?
  • When might underestimating be risky?













Assume the function is decreasing

Prompt

  • What about now?














Activity 4 — Increasing the Number of Intervals

Activity 4A (Discussion): Accuracy vs Cost

Prompts: - What happens to the the Riemann summ as \(n\) increases?














Activity 4B Big-Picture Bridge to Integrals

Reflective Prompt: > In Calculus I, Newton moved from average rates of change to instantaneous rates by letting \(\Delta x \to 0\).

  • What do you think happens if we let the number of rectangles grow without bound?













  • How might this lead us from Riemann sums to exact area?

\[ \sum_{i=1}^{n} f(x_i)\,\Delta x \rightarrow \int_{a}^{b} f(x)\,dx \]














Activity 5 — Signed Area: When the Function Goes Negative

In this final activity, we use a realistic environmental signal to build intuition for signed area. Many environmental fluxes naturally oscillate between positive and negative values over time.


Activity 5A (Worked Together): Carbon Flux as a Sinusoidal Process

Consider a short-term model of net carbon exchange between a forest and the atmosphere over three days.

  • Positive values of \(f(t)\): net carbon sequestration (uptake)
  • Negative values of \(f(t)\): net carbon release

Suppose the net carbon flux (in metric tons of CO\(_2\) per day) is modeled by: \[ f(t) = 2\sin\!\left(2\pi t\right) \quad \text{on } [0,3], \] where \(t\) is time in days.

Interpretation prompts (class discussion):

  • Why might carbon flux vary smoothly rather than remain constant?




  • At what times is the forest acting as a carbon sink?




  • At what times is it acting as a carbon source?




  • What do the zeros of the function represent physically?




  • Lets do a unit check, what are the units of the area under the curve?




  • How much net carbon has accumulated over the full three days.




  • How would you approximate this with a Riemann Sum?









  • Now with a much smaller delta x

Key Idea

Environmental processes often involve competing fluxes: - Uptake vs release - Storage vs loss

A definite integral does not measure “area” alone—it measures net accumulation.

Signed area is the mathematical tool that allows calculus to track both magnitude and direction in real environmental systems.

Closing Reflection

Riemann sums are not the destination.
They are the bridge between intuition, geometry, and the formal definition of the integral.

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