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One of the ways to approach the definite integral is by using Darboux sums. The upper Darboux sum will overestimate the definite integral, while the lower Darboux sum will underestimate the definite integral. As we refine these upper and lower Darboux sums, their values will (hopefully) become closer and closer to the actual value of the definite integral.

Definition: A partition PP of the interval [a,b][a,b] is a set {x0,…,xn}\{x_0,\ldots,x_n\}, such that a=x0<x1<⋯<xn=ba=x_0<x_1<\cdots<x_n=b.

Example: Some partitions of [0,1][0,1] are {0,1}\{0,1\}, {0,12,1}\left\{0,\frac{1}{2},1\right\}, {0,0.01,0.25,0.4,1}\{0,0.01, 0.25, 0.4, 1\}.

As their name suggests, partitions take an interval and break it up into various subintervals; these are the intervals [xi−1,xi][x_{i-1}, x_{i}].

The idea with Darboux sums is that we want to take these subintervals and make them small enough that our function ff, the function we want to integrate, is roughly constant on each subinterval. Then it is easy to estimate the value of ff on that subinterval, which will let us approximate the definite integral.

Definitions: The upper Darboux sum for a partition P={x0,…,xn}P=\{x_0,\ldots,x_n\} on [a,b][a,b] is defined as U(f,P):=∑i=1nMi⋅(xi−xi−1),U(f,P):=\sum_{i=1}^nM_i\cdot(x_i-x_{i-1}), where Mi:=sup⁡[xi−1,xi]f(x)M_i:=\sup_{[x_{i-1},x_i]}f(x), the supremum of ff on the subinterval [xi−1,xi][x_{i-1},x_{i}].

Similarly, the lower Darboux sum for PP is L(f,P):=∑i=1nmi⋅(xi−xi−1),L(f,P):=\sum_{i=1}^nm_i\cdot(x_i-x_{i-1}), where mi:=inf⁡[xi−1,xi]f(x)m_i:=\inf_{[x_{i-1},x_i]}f(x), the infimum of ff on the subinterval [xi−1,xi][x_{i-1},x_{i}].

To get an intuitive idea of these Darboux sums, let's consider ff continuous. Then by the extreme value theorem, ff obtains its maximum on a compact interval like [xi−1,xi][x_{i-1},x_i], and so we can replace the supremums with maximums.

The upper sum U(f,P)U(f,P) takes the maximum MiM_i of ff on each subinterval, then multiplies that value by the length of the subinterval. Graphically, what does this product Mi⋅(xi−xi−1)M_i\cdot(x_i-x_{i-1}) represent?

Graphically, Mi⋅(xi−xi−1)M_i\cdot(x_i-x_{i-1}) is the area of a rectangle - the one with base the subinterval [xi−1,xi][x_{i-1},x_i], and height MiM_i.

How does the area of this rectangle compare to the area under ff on the subinterval [xi−1,xi][x_{i-1},x_i]?

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