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Fundamental Theorem of Calculus (FTC)
The pair of theorems that connect differentiation and definite integration: Part 1 gives the derivative of accumulation functions, and Part 2 evaluates definite integrals using antiderivatives.
Accumulation function
A function defined by an integral with a variable limit, e.g., F(x)=∫axf(t)dt, representing net accumulated change from a to x.
Rate function (integrand)
The function being accumulated in an integral (often interpreted as a rate), e.g., f(t) in ∫axf(t)dt.
Variable of integration (dummy variable)
The placeholder variable inside the integral (e.g., t in ∫f(t)dt) whose name does not affect the integral’s value.
Net accumulated change
The total signed accumulation from a to b given by ∫abf(x)dx; includes both increases (positive) and decreases (negative).
Signed area (net area)
Area above the x-axis counted positive and below the x-axis counted negative in a definite integral.
Displacement
Change in position; if v(t) is velocity, then ∫abv(t)dt gives displacement over [a,b].
FTC Part 1
If f is continuous and F(x)=∫axf(t)dt, then F'(x)=f(x).
FTC Part 1 with chain rule (upper limit g(x))
If G(x)=∫ag(x)f(t)dt, then G′(x)=f(g(x))⋅g′(x).
Leibniz rule (both limits vary)
If H(x)=∫h(x)g(x)f(t)dt, then H′(x)=f(g(x))g′(x)−f(h(x))h′(x).
Critical point of an accumulation function
A point c where A′(c)=0; for A(x)=∫axf(t)dt, this occurs where f(c)=0 (an extremum is not guaranteed).
Local maximum of an accumulation function
Occurs where A′(x) changes from positive to negative; for A′(x)=f(x), this is where f changes from + to −.
Local minimum of an accumulation function
Occurs where A′(x) changes from negative to positive; for A′(x)=f(x), this is where f changes from − to +.
Concavity of an accumulation function
For A(x)=∫axf(t)dt with differentiable f, A′′(x)=f′(x); A is concave up where f is increasing and concave down where f is decreasing.
Total distance traveled
For velocity v(t), total distance is ∫ab∣v(t)∣dt (not ∫abv(t)dt, which gives displacement).
Definite integral
A number ∫abf(x)dx representing net accumulation (signed area) from a to b.
Linearity of integrals
Properties: ∫ab(f+g)dx=∫abfdx+∫abgdx and ∫abc⋅fdx=c∫abfdx.
Reversing bounds property
Switching limits changes the sign: ∫abf(x)dx=−∫baf(x)dx.
Zero-width interval property
An integral over identical bounds is zero: ∫aaf(x)dx=0.
Additivity over intervals
Breaking at an interior point c: ∫abf(x)dx=∫acf(x)dx+∫cbf(x)dx.
Comparison property (integrals)
If f(x)≥g(x) on [a,b], then ∫abf(x)dx≥∫abg(x)dx (in particular, if f≥0 then the integral is ≥0).
Even function symmetry (integrals)
If f is even (f(−x)=f(x)), then ∫−aaf(x)dx=2∫0af(x)dx.
Odd function symmetry (integrals)
If f is odd (f(−x)=−f(x)), then ∫−aaf(x)dx=0.
FTC Part 2
If f is continuous on [a,b] and F′=f, then ∫abf(x)dx=F(b)−F(a).
Evaluation notation (bracket notation)
The shorthand [F(x)]ab meaning F(b)−F(a) when evaluating a definite integral via an antiderivative.