What is Σ? Σ “sigma” stands for sum
2 + 4 + 6 + 8 + 10 = [ _(i = 1)Σ^5 ] 2i
Examples:
Formulas:
Properties (a is some function within i):
Constant: [ ᵢ₌₁Σⁿ ] ==k== • a = ==k== • [ ᵢ₌₁Σⁿ ] a
Sub/Difference: [ ᵢ₌₁Σⁿ ] ==a== +- ==b== = [ ᵢ₌₁Σⁿ ] ==a== +- [ ᵢ₌₁Σⁿ ] ==b==
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Area ~ [ ᵢ₌₁Σⁿ ] rectangles
= [ ᵢ₌₁Σⁿ ] height • width
= [ ᵢ₌₁Σⁿ ] f(c) • ∆x
—> f(ci) is the sampling position in subinterval “i” (red dashed line on graph)
—> ∆x is the width of the subinterval “i” (different rectangles on the graph’s width)
Use rectangles to approximate the area bound by:
f(x) = -x^2 + 20, x = 1, x = 4, y = 0
4 - 1 = 3 so use 3 rectangles of equal width (1).
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%%3 Inscribed rectangles (lower sum):%%
Area ~ 1•16 + 1•11 + 1•4 = 31
==R Circumscribed rectangles (upper sum):==
Area ~ 1•19 + 1•16 + 1•11 = 46
Since 3 rectangles in somewhat inaccurate, try using 100 rectangles:
Width of each rectangle: ∆x = (4-1)/100 = 3/100
Right end of subinterval:
Area ~ [ ᵢ₌₁Σ^100 ] f(ci) * ∆x
= [ ᵢ₌₁Σ^100 ] [ -(1 + 3/100 • i)^2 + 20 ] • 3/100
n rectangles:
∆x = 3/n, ci = 1 + 3/n • i
Area = [ ᵢ₌₁Σⁿ ] (- (1 + 3/n • i)^2 + 20) • 3/n
f continuous and non-negative on [ a,b ]
A = _(n → ∞ )lim [ ᵢ₌₁Σⁿ ] f(c) • ∆x, as long as the width of the subintervals approaches 0
f must be continuous and non-negative
ₐ∫ᵇ f(x)dx = ₋(n → ∞ )lim [ ᵢ₌₁Σⁿ ] f(cᵢ) • ∆x
^^∆x = (b-a)/n^^
^^cᵢ = a + (b-a)/n • i^^
→ ==ₐ∫ᵇ f(x)dx = ₋(n → ∞ )lim [ ᵢ₌₁Σⁿ ] f( a + (b-a)/n • i) • (b-a)/n==
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