Math 180 - David Beydler`s Math

Math 180
5.3 – The Fundamental Theorem of
Calculus
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In 5.1, we saw how to visualize an estimation of
distance traveled using velocity samples at 5second intervals.
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In 5.1, we saw how to visualize an estimation of
distance traveled using velocity samples at 5second intervals.
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In 5.1, we saw how to visualize an estimation of
distance traveled using velocity samples at 5second intervals.
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In 5.1, we saw how to visualize an estimation of
distance traveled using velocity samples at 5second intervals.
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In 5.1, we saw how to visualize an estimation of
distance traveled using velocity samples at 5second intervals.
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To get a more accurate estimation, we could
sample every second.
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To get a more accurate estimation, we could
sample every second.
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To get a more accurate estimation, we could
sample every second.
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To get a more accurate estimation, we could
sample every second.
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What if we could sample every instant?
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What if we could sample every instant?
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What if we could sample every instant?
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What if we could sample every instant?
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The Fundamental Theorem of Calculus, Part 2
(also called The Evaluation Theorem)
If 𝑓 is continuous on π‘Ž, 𝑏 and 𝐹 is any
antiderivative of 𝑓 on π‘Ž, 𝑏 , then
𝒃
𝒇 𝒙 𝒅𝒙 = 𝑭 𝒃 βˆ’ 𝑭(𝒂)
𝒂
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Ex 1.
Evaluate.
πœ‹
cos π‘₯ 𝑑π‘₯
0
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Notation:
𝐹 π‘₯
𝑏
π‘Ž
=𝐹 π‘₯
𝑏
π‘Ž
=𝐹 𝑏 βˆ’πΉ π‘Ž
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Ex 2.
Evaluate.
0
πœ‹
βˆ’4
sec π‘₯ tan π‘₯ 𝑑π‘₯
4
1
βˆ’2
βˆ’3
3
4
π‘₯ βˆ’ 2 𝑑π‘₯
2
π‘₯
𝑑π‘₯
π‘₯+1
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Let’s go back to the velocity function, 𝑣 𝑑 .
Consider the area under 𝑣 𝑑 from 𝑑 = 0 to 𝑑 =
π‘₯ (where π‘₯ is a variable here). This area
represents the change in position over that time
interval. Note that the area is a function of π‘₯.
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The Fundamental Theorem of Calculus, Part 1
If 𝑓 is continuous on π‘Ž, 𝑏 , then
π‘₯
𝑓
π‘Ž
𝐹 π‘₯ =
𝑑 𝑑𝑑 is continuous on π‘Ž, 𝑏 and
differentiable on π‘Ž, 𝑏 and its derivative is
𝑓 π‘₯ :
𝒅
β€²
𝑭 𝒙 =
𝒅𝒙
𝒙
𝒇 𝒕 𝒅𝒕 = 𝒇 𝒙
𝒂
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Ex 3.
Use the Fundamental Theorem to find
π‘₯
𝑑𝑦
.
𝑑π‘₯
𝑑 3 + 1 𝑑𝑑
𝑦=
π‘Ž
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𝑦=
3𝑑 sin 𝑑 𝑑𝑑
π‘₯
π‘₯2
𝑦=
cos 𝑑 𝑑𝑑
1
4
1
𝑦=
𝑑𝑑
𝑑
1+3π‘₯ 2 2 + 𝑒
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By the way, here’s another way to get intuition
about the FTOC, Part 1…
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What is the rate at which the area is changing?
That is, what is 𝐹′(π‘₯)? Let’s estimate it:
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𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯ β‰ˆ
actual change in area
𝑓 π‘₯ β‹…β„Ž
estimated
change in area
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
β‰ˆπ‘“ π‘₯
β„Ž
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
lim
=𝑓 π‘₯
β„Žβ†’0
β„Ž
𝐹′ π‘₯ = 𝑓 π‘₯
So,
𝒅
𝒅𝒙
𝒙
𝒇
𝒂
𝒕 𝒅𝒕 = 𝒇 𝒙 .
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𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯ β‰ˆ
actual change in area
𝑓 π‘₯ β‹…β„Ž
estimated
change in area
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
β‰ˆπ‘“ π‘₯
β„Ž
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
lim
=𝑓 π‘₯
β„Žβ†’0
β„Ž
𝐹′ π‘₯ = 𝑓 π‘₯
So,
𝒅
𝒅𝒙
𝒙
𝒇
𝒂
𝒕 𝒅𝒕 = 𝒇 𝒙 .
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𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯ β‰ˆ
actual change in area
𝑓 π‘₯ β‹…β„Ž
estimated
change in area
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
β‰ˆπ‘“ π‘₯
β„Ž
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
lim
=𝑓 π‘₯
β„Žβ†’0
β„Ž
𝐹′ π‘₯ = 𝑓 π‘₯
So,
𝒅
𝒅𝒙
𝒙
𝒇
𝒂
𝒕 𝒅𝒕 = 𝒇 𝒙 .
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𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯ β‰ˆ
actual change in area
𝑓 π‘₯ β‹…β„Ž
estimated
change in area
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
β‰ˆπ‘“ π‘₯
β„Ž
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
lim
=𝑓 π‘₯
β„Žβ†’0
β„Ž
𝐹′ π‘₯ = 𝑓 π‘₯
So,
𝒅
𝒅𝒙
𝒙
𝒇
𝒂
𝒕 𝒅𝒕 = 𝒇 𝒙 .
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𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯ β‰ˆ
actual change in area
𝑓 π‘₯ β‹…β„Ž
estimated
change in area
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
β‰ˆπ‘“ π‘₯
β„Ž
𝐹 π‘₯+β„Ž βˆ’πΉ π‘₯
lim
=𝑓 π‘₯
β„Žβ†’0
β„Ž
𝐹′ π‘₯ = 𝑓 π‘₯
So,
𝒅
𝒅𝒙
𝒙
𝒇
𝒂
𝒕 𝒅𝒕 = 𝒇 𝒙 .
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𝒅
𝒅𝒙
𝒙
𝒇 𝒕 𝒅𝒕 = 𝒇 𝒙
𝒂
In other words, the rate at which the area is
changing is equal to the function value of 𝑓 at π‘₯.
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