Antiderivatives, Section 5.1 - Area and Estimating w/Finite Sums and

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Section 4.8 - Antiderivatives
If the following functions represent the derivative of the original
function, find the original function.
𝑓 π‘₯ = 3π‘₯ 2
𝐹 π‘₯ = π‘₯3
𝑓 π‘₯ = π‘₯ 2 + 2π‘₯
𝐹 π‘₯ =
𝑓 π‘₯ = 3π‘₯ 2 − 1
𝐹 π‘₯ = π‘₯3 − π‘₯
𝑓 π‘₯ =−
2
−3 + 4
=
−2π‘₯
+
4
π‘₯3
1 3
π‘₯ + π‘₯2
3
𝐹 π‘₯ = π‘₯ −2 + 4π‘₯
Antiderivative – If F’(x) = f(x) on an interval, then F(x) is the
antiderivative of f(x) for every value of x on the interval.
Section 4.8 - Antiderivatives
State the derivative of each function.
𝑓 π‘₯ = π‘₯3
𝑓′ π‘₯ = 3π‘₯ 2
𝑓 π‘₯ = π‘₯3 + 2
𝑓′ π‘₯ = 3π‘₯ 2
𝑓 π‘₯ = π‘₯3 − 1
𝑓′ π‘₯ = 3π‘₯ 2
𝑓 π‘₯ = π‘₯3 + 4
𝑓′ π‘₯ = 3π‘₯ 2
Theorem: – If F(x) is an antiderivative of f(x) on an interval I, then the
general antiderivative of f(x) is:
𝐹 π‘₯ +𝐢
𝑓 π‘₯ = 3π‘₯ 2 → 𝐹 π‘₯ = π‘₯ 3 + 𝐢
Section 4.8 - Antiderivatives
Antiderivative Formulas where k is a constant
(from page 281 of the textbook)
Section 4.8 - Antiderivatives
Write the general antiderivative of each of the following functions.
𝑓 π‘₯ =
π‘₯5
𝑓 π‘₯ = sin(2x)
π‘₯ 5+1
π‘₯6
𝐹 π‘₯ =
+𝐢 =
+𝐢
5+1
6
1
𝐹 π‘₯ = − cos 2π‘₯ + 𝐢
2
𝑓 π‘₯ = 𝑒 −3π‘₯
1 −3π‘₯
𝐹 π‘₯ =− 𝑒
+𝐢
3
Section 4.8 - Antiderivatives
Indefinite Integrals
6π‘₯ 1+1
5 − 6π‘₯ 𝑑π‘₯ = 5π‘₯ −
+𝐢
1+1
−5𝑠𝑖𝑛𝑑 𝑑𝑑 =
2𝑒 π‘₯
− 3𝑒 −2π‘₯
6π‘₯ 2
= 5π‘₯ −
+𝐢
2
= 5π‘₯ − 3π‘₯ 2 + 𝐢
−5(−π‘π‘œπ‘ π‘‘) +𝐢 = 5π‘π‘œπ‘ π‘‘ + 𝐢
𝑑π‘₯ =
2𝑒 π‘₯
3
3𝑒 −2π‘₯
π‘₯ + 𝑒 −2π‘₯ + 𝐢
+𝐢
=
2𝑒
−
2
−2
Section 4.8 - Antiderivatives
Initial Value Problems
Solve for the original equation if
𝑑2 𝑦
=
2
𝑑π‘₯
2 − 6π‘₯
𝑑2𝑦
𝑑π‘₯ 2
= 2 − 6π‘₯ given 𝑦 ′ 0 = 4 and 𝑦 0 = 1.
𝑑𝑦
=
𝑑π‘₯
2π‘₯ − 3π‘₯ 2 + 4
𝑑𝑦
6π‘₯ 2
= 2π‘₯ −
+𝐢
𝑑π‘₯
2
2π‘₯ 2 3π‘₯ 3
𝑦=
−
+ 4π‘₯ + C
2
3
𝑑𝑦
= 2π‘₯ − 3π‘₯ 2 + 𝐢
𝑑π‘₯
𝑦 = π‘₯ 2 − π‘₯ 3 + 4π‘₯ + C
4 = 2 0 − 3(0)2 +𝐢
1 = (0)2 − 0
4=𝐢
1=𝐢
𝑑𝑦
= 2π‘₯ − 3π‘₯ 2 + 4
𝑑π‘₯
𝑦 = π‘₯ 2 − π‘₯ 3 + 4π‘₯ + 1
3
+ 4(0) + C
Section 5.1 – Area and Estimating Finite Sums
Estimating Area Under a Curve
Approximate the area under the curve 𝑓 π‘₯ = π‘₯ 2 + 1 from π‘₯ = 0 to π‘₯ = 2 using 2
rectangles.
2−0
π΄π‘Ÿπ‘’π‘Ž = β„Žπ‘’π‘–π‘”β„Žπ‘‘ βˆ™ π‘™π‘’π‘›π‘”π‘‘β„Ž = 𝑓(π‘₯) βˆ™ βˆ†π‘₯
βˆ†π‘₯ =
= 1.
2
Left-hand endpoints
1
2
Right-hand endpoints
Midpoints
1
1
2
2
πΈπ‘ π‘‘π‘–π‘šπ‘Žπ‘‘π‘’π‘‘ π΄π‘Ÿπ‘’π‘Ž π‘ˆπ‘›π‘‘π‘’π‘Ÿ π‘‘β„Žπ‘’ πΆπ‘’π‘Ÿπ‘£π‘’ = π‘‘β„Žπ‘’ π‘ π‘’π‘š π‘œπ‘“ π‘‘β„Žπ‘’ π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘Žπ‘™π‘™ π‘Ÿπ‘’π‘π‘‘π‘Žπ‘›π‘”π‘™π‘’π‘ 
𝐴 = 𝑓 0 βˆ™ 1 + 𝑓(1) βˆ™ 1
𝐴 = 𝑓 1 βˆ™ 1 + 𝑓(2) βˆ™ 1
𝐴 = 𝑓 .5 βˆ™ 1 + 𝑓(1.5) βˆ™ 1
𝐴=1βˆ™1+2βˆ™1
𝐴=2βˆ™1+5βˆ™1
𝐴=3
𝐴=7
𝐴 = 1.25 βˆ™ 1 + 3.25 βˆ™ 1
𝐴 = 4.5
Section 5.1 – Area and Estimating Finite Sums
Estimating Area Under a Curve
Approximate the area under the curve 𝑓 π‘₯ = π‘₯ 2 + 1 from π‘₯ = 0 to π‘₯ = 2 using 4
rectangles.
2−0
1
π΄π‘Ÿπ‘’π‘Ž = β„Žπ‘’π‘–π‘”β„Žπ‘‘ βˆ™ π‘™π‘’π‘›π‘”π‘‘β„Ž = 𝑓(π‘₯) βˆ™ βˆ†π‘₯
βˆ†π‘₯ =
= .
4
2
Left-hand endpoints
1
2
Right-hand endpoints
Midpoints
1
1
2
2
πΈπ‘ π‘‘π‘–π‘šπ‘Žπ‘‘π‘’π‘‘ π΄π‘Ÿπ‘’π‘Ž π‘ˆπ‘›π‘‘π‘’π‘Ÿ π‘‘β„Žπ‘’ πΆπ‘’π‘Ÿπ‘£π‘’ = π‘‘β„Žπ‘’ π‘ π‘’π‘š π‘œπ‘“ π‘‘β„Žπ‘’ π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘Žπ‘™π‘™ π‘Ÿπ‘’π‘π‘‘π‘Žπ‘›π‘”π‘™π‘’π‘ 
LH
𝐴 = 𝑓 0 βˆ™ .5 + 𝑓 .5 . 5 + f 1 . 5 + 𝑓 1.5 . 5
= 3.75
RH
𝐴 = 𝑓 .5 βˆ™ .5 + 𝑓 1 . 5 + f 1.5 . 5 + 𝑓 2 . 5
= 5.75
Mid
𝐴 = 𝑓 .25 βˆ™ .5 + 𝑓 .75 . 5 + f 1.25 . 5 + 𝑓 1.75 . 5
= 4.625
Section 5.1 – Area and Estimating Finite Sums
Average Value of an Integral
Average Value: Given a closed interval for a continuous function, the average value is
the function value that when multiplied by the length of the interval produces the same
area as that under the curve.
π‘Žπ‘Ÿπ‘’π‘Ž π‘’π‘›π‘‘π‘’π‘Ÿ π‘‘β„Žπ‘’ π‘π‘’π‘Ÿπ‘£π‘’
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‰π‘Žπ‘™π‘’π‘’ (𝐴𝑉) =
π‘™π‘’π‘›π‘”π‘‘β„Ž π‘œπ‘“ π‘‘β„Žπ‘’ π‘–π‘›π‘‘π‘’π‘Ÿπ‘£π‘Žπ‘™
AV
AV
AV
Section 5.1 – Area and Estimating Finite Sums
Average Value of an Integral
Estimate the average value for the function 𝑓 π‘₯ = π‘₯ 2 on the interval 0,4 using four
midpoint subintervals (rectangles) on equal width.
π‘¬π’”π’•π’Šπ’Žπ’‚π’•π’†π’… 𝑨𝒓𝒆𝒂 𝑼𝒏𝒅𝒆𝒓 𝒕𝒉𝒆 π‘ͺ𝒖𝒓𝒗𝒆
π‘€π‘–π‘‘π‘‘β„Ž π‘œπ‘“ π‘ π‘’π‘π‘–π‘›π‘‘π‘’π‘Ÿπ‘£π‘Žπ‘™π‘  = βˆ†π‘₯ =
4−0
4
= 1.
𝐴 = 𝑓 .5 βˆ™ 1 + 𝑓 1.5 βˆ™ 1 + f 2.5 βˆ™ 1 + 𝑓 3.5 βˆ™ 1
𝐴 = 21
1
2
3
4
𝒂𝒓𝒆𝒂 𝒖𝒏𝒅𝒆𝒓 𝒕𝒉𝒆 𝒄𝒖𝒓𝒗𝒆
π‘¨π’—π’†π’“π’‚π’ˆπ’† 𝑽𝒂𝒍𝒖𝒆 (𝑨𝑽) =
π’π’†π’π’ˆπ’•π’‰ 𝒐𝒇 𝒕𝒉𝒆 π’Šπ’π’•π’†π’“π’—π’‚π’
π΄π‘£π‘’π‘Ÿπ‘Žπ‘”π‘’ π‘‰π‘Žπ‘™π‘’π‘’ (𝐴𝑉) =
21
𝐴𝑉 =
= 5.25
4
21
4−0
Section 5.2 – Sigma Notation and Limits of Finite Sums
Sigma Notation – A mathematical notation that represents the sum of many terms using
a formula.
Sequence – a function whose domain is positive integers.
π‘­π’–π’π’„π’•π’Šπ’π’ π‘΅π’π’•π’‚π’•π’Šπ’π’
𝑓 π‘₯ , 𝑔 π‘₯ , β„Ž(π‘₯)
Sigma Notation
π‘Žπ‘› , 𝑏𝑖 , π‘π‘˜
𝑓 π‘₯ = 2π‘₯ + 1
π‘Žπ‘› = 2𝑛 + 1
g π‘₯ = π‘₯ 2 − 3π‘₯ + 7
π‘₯+6
β„Ž π‘₯ = 2
π‘₯ + 2π‘₯ + 3
𝑏𝑖 = 𝑖 2 − 3𝑖 + 7
π‘˜+6
π‘π‘˜ = 2
π‘˜ + 2π‘˜ + 3
Section 5.2 – Sigma Notation and Limits of Finite Sums
Sigma Notation
Examples
πŸ’
πŸ”
πŸπ’
𝟐
𝒏=𝟏
π’Œ=𝟏
2 1 + 2 2 + 2 3 + 2(4)
2+2+2+2+2+2
12
2+4+6+8
20
πŸ‘
(π’ŠπŸ −πŸ‘π’Š + πŸ•)
π’Š=𝟏
(𝟏𝟐 −πŸ‘ βˆ™ 𝟏 + πŸ•) + (𝟐𝟐 −πŸ‘ βˆ™ 𝟐 + πŸ•) + (πŸ‘πŸ −πŸ‘ βˆ™ πŸ‘ + πŸ•)
πŸ“+πŸ“+πŸ•
πŸπŸ•
Section 5.2 – Sigma Notation and Limits of Finite Sums
Sigma Notation
Express the sums in sigma notation.
1 + 2 + 3 + 4 + β‹― + 98
1 − 2 + 3 − 4 + β‹― − 98
πŸ—πŸ–
πŸ—πŸ–
(−𝟏)π’Š+𝟏 π’Š
π’Š
π’Š=𝟏
1 1 1
1
1 + + + + β‹―+
2 3 4
70
πŸ•πŸŽ
π’Œ=𝟏
𝟏
π’Œ
π’Š=𝟏
1 1 1
1
1− + −
+ β‹―−
4 9 16
49
πŸ•
(−𝟏)π’Š+𝟏
π’Š=𝟏
𝟏
π’ŠπŸ
Section 5.2 – Sigma Notation and Limits of Finite Sums
Sigma Notation
Linearity of Sigma
𝒏
𝒏
π’„π’‚π’Š = 𝒄
π’‚π’Š
π’Š=𝟏
𝒏
π’Š=𝟏
𝒏
(π’‚π’Š ± π’ƒπ’Š ) =
π’Š=𝟏
𝒏
π’‚π’Š ±
π’Š=𝟏
π’ƒπ’Š
π’Š=𝟏
Example
𝒏
(πŸ‘π’ŒπŸ + πŸπ’Œ − πŸ•)
π’Œ=𝟏
𝒏
𝒏
πŸ‘π’ŒπŸ +
π’Œ=𝟏
πŸπ’Œ −
π’Œ=𝟏
𝒏
𝒏
πŸ•
π’Œ=𝟏
→
𝒏
π’ŒπŸ + 𝟐
πŸ‘
π’Œ=𝟏
𝒏
π’Œ−
π’Œ=𝟏
πŸ•
π’Œ=𝟏
Section 5.2 – Sigma Notation and Limits of Finite Sums
Summation Rules
𝒏
𝒄=π’βˆ™π’„
π’Œ=𝟏
𝒏
π’Œ=𝟏
𝒏
𝒏(𝒏 + 𝟏)
π’Œ=
𝟐
𝒏(𝒏 + 𝟏)(πŸπ’ + 𝟏)
π’Œ =
πŸ”
𝟐
π’Œ=𝟏
𝒏
π’Œ=𝟏
𝒏(𝒏 + 𝟏)
πŸ‘
π’Œ =
𝟐
𝟐
Section 5.2 – Sigma Notation and Limits of Finite Sums
Summation Rules Examples
πŸ“πŸ
πŸ’=
πŸ“πŸ βˆ™ πŸ’ =
πŸπŸŽπŸ’
π’”π’–π’Ž(𝒔𝒆𝒒 πŸ’, 𝒙, 𝟏, πŸ“πŸ’, 𝟏 )
π’Œ=𝟏
πŸ‘πŸ
π’Œ=𝟏
πŸ‘πŸ(πŸ‘πŸ + 𝟏)
π’Œ=
= πŸ“πŸπŸ–
𝟐
πŸπŸ“
π’ŒπŸ
π’Œ=𝟏
πŸ—
π’Œ=𝟏
πŸπŸ“(πŸπŸ“ + 𝟏)(𝟐 βˆ™ πŸπŸ“ + 𝟏)
=
= πŸπŸπŸ’πŸŽ
πŸ”
πŸ—(πŸ— + 𝟏)
πŸ‘
π’Œ =
𝟐
𝟐
= πŸπŸŽπŸπŸ“
π’”π’–π’Ž(𝒔𝒆𝒒 𝒙, 𝒙, 𝟏, πŸ‘πŸ, 𝟏 )
π’”π’–π’Ž(𝒔𝒆𝒒 π’™πŸ , 𝒙, 𝟏, πŸπŸ“, 𝟏 )
π’”π’–π’Ž(𝒔𝒆𝒒 π’™πŸ‘ , 𝒙, 𝟏, πŸ—, 𝟏 )
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