Unit 6: Integration & Accumulation of Change
Applying the Fundamental Theorem
Using the Fundamental Theorem of Calculus to evaluate definite integrals and define accumulation functions.
Prerequisites
- The Definite Integral
The Bridge Between Area and Antiderivatives
Every definite integral evaluated so far has needed either a geometric shortcut or a full Riemann-sum limit. Before reading on: is there a faster connection between a function f and the area function it generates — one that ties area-so-far directly back to f itself, without ever taking a limit of sums again?
Definition — The Fundamental Theorem of Calculus
Part 1 follows from a direct rate-of-change argument: moving x forward by a small amount h adds a thin sliver of area, approximately f(x)·h (a rectangle of height f(x) and width h). So [A(x+h) − A(x)]/h ≈ f(x), and as h → 0, this approximation becomes exact — A'(x) = f(x). The accumulation function's instantaneous rate of change is exactly the height of the function generating it.
Worked Example — Evaluating a Definite Integral with an Antiderivative
Worked Example — Differentiating an Accumulation Function
Integral Visualizer
Integration bounds
Animate b (the play button above) to watch the shaded area — and the accumulation curve below — grow.
Approximation method
f(x), with the region between a and b shaded
Accumulation function A(x) = ∫ₐˣ f(t) dt — linked to the graph above; panning or zooming either moves both
What the Fundamental Theorem of Calculus tells us
- A(x) = ∫ from a to x of f(t) dt is the accumulation function. At x = b ≈ 2, A(b) ≈ 2.67 — the signed area under f from a ≈ 0 to b.
- The Fundamental Theorem of Calculus says A'(x) = f(x): differentiating the accumulation function gives the original function back.
- Confirmed numerically here: differentiating the accumulation curve gives A'(b) ≈ 4, matching f(b) ≈ 4.
Numerical approximation comparison
| Method | Estimate |
|---|---|
| Left Riemann sum | 2.28 |
| Right Riemann sum | 3.08 |
| Midpoint Riemann sum | 2.66 |
| Trapezoidal Rule | 2.68 |
| Simpson's Rule | 2.66667 |
| Exact (high-resolution reference) | 2.66667 |
Analysis of f(x)
- y-intercept
- (0, 0)
- x-intercepts
- (0, 0)
- Extrema
- local min at (0, 0)
- Inflection points
- none found in view
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [0, 100]
Tip
Common Mistakes
Differentiating ∫₂^(x²)(t²+1)dt as (x²)² + 1, forgetting the extra chain rule factor from the non-x upper bound.
FTC Part 1 alone only handles a plain x upper bound — a upper bound like x² needs an additional chain rule factor, d/dx[x²] = 2x, multiplied in afterward.
Using the wrong antiderivative sign or forgetting a term when finding F(x) before applying FTC Part 2.
Always verify F'(x) actually equals the original integrand before using F in FTC Part 2 — a single missing or mis-signed term in F produces a wrong definite integral even though the rest of the evaluation is done correctly.
Key Takeaways
- FTC Part 1 says the derivative of an accumulation function A(x) = ∫ₐˣf(t)dt is f(x) itself — area and rate of change are two sides of the same relationship.
- FTC Part 2 evaluates a definite integral directly from any antiderivative: ∫ₐᵇf(x)dx = F(b) − F(a), with no Riemann sum needed.
- When an accumulation function's upper bound is a function of x rather than x itself, differentiating it needs an extra chain rule factor.
Summary
The Fundamental Theorem connects integration and differentiation directly. The next lesson develops the main technique for finding antiderivatives of composite functions — u-substitution, the integration counterpart of the chain rule.
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