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Chap2

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Chap 2:
1. Partial Derivatives
Function z = f(x,y)
+ First-order derivatives : 𝑧′π‘₯ π‘Žπ‘›π‘‘ 𝑧′𝑦
Ex : Let 𝑓(π‘₯, 𝑦) = 2π‘₯ 2 + 9π‘₯𝑦 3 + 8𝑦 + 5
We have first-order derivative : 𝑓π‘₯ (π‘₯; 𝑦) = 2.2π‘₯ + 9. 𝑦 3 = 4π‘₯ + 9𝑦 3
𝑓𝑦 (π‘₯, 𝑦) = 9. π‘₯. 3𝑦 2 + 8 = 27π‘₯𝑦 2 + 8
Meaning: If 𝒇𝒙 (𝒙; π’š) = 𝜢 then keeping y unchanged (π’š = π’šπŸŽ ), increasing x from π’™πŸŽ 𝒕𝒐 π’™πŸŽ + 𝟏 will
increase z by 𝜢
+Second-order derivatives (4) 𝑧′π‘₯𝑦 , 𝑧′𝑦π‘₯ , 𝑧′π‘₯π‘₯ π‘Žπ‘›π‘‘ 𝑧′𝑦𝑦
Ex : Above function οƒ  𝑧′π‘₯𝑦 = 9.3𝑦 2 = 27𝑦 2 𝑧′π‘₯π‘₯ = 4
𝑧′𝑦π‘₯ = 27𝑦 2 𝑧′𝑦𝑦 = 27π‘₯. 2𝑦 = 54π‘₯𝑦
2. Maxima and minima
Test for relative extrema:
B1: Find all derivatives : 𝑓π‘₯ , 𝑓𝑦 , 𝑓π‘₯π‘₯ , 𝑓𝑦𝑦 , 𝑓π‘₯𝑦
B2: Find critical points: from equation system 𝑓π‘₯ = 0 π‘Žπ‘›π‘‘ 𝑓𝑦 = 0
B3: Calculate D ο€½ f xx (a, b) οƒ— f yy (a, b) ο€­  f xy (a, b) 
2
B4: Check
ο‚·
ο‚·
ο‚·
ο‚·
If
If
If
If
D ο€Ύ 0 and f xx (a, b) ο€Ό 0 , then f (a, b) is a relative maximum.
D ο€Ύ 0 and f xx (a, b) ο€Ύ 0 , then f (a, b) is a relative minimum.
D ο€Ό 0 , the f(x,y) has a saddle point at (a,b).
D ο€½ 0 then the test fails.
B5: Conclusion
Ex: Cho hàm f ( x, y ) ο€½ ο€­2 x 2 ο€­ 3 y 2 ο€­ 4 x  3 y  5
-
Tìm tαΊ₯t cαΊ£ Δ‘αΊ‘o hàm
𝑓π‘₯ (π‘₯, 𝑦) = −4π‘₯ − 4 𝑓𝑦 (π‘₯, 𝑦) = −6π‘₯ + 3
f xx ( x, y) ο€½ ο€­4, f yy ( x, y) ο€½ ο€­6, f xy ( x, y) ο€½ f yx ( x, y) ο€½ 0
-
Tìm Critical points
f x ( x, y ) ο€½ ο€­4 x ο€­ 4
0 ο€½ ο€­4 x ο€­ 4 and
x ο€½ ο€­1
f y ( x, y) ο€½ ο€­6 y  3
0 ο€½ ο€­6 y  3
1
yο€½
2
The critical point for the given function is at  ο€­1, 1 οƒΆοƒ· .

-
Evaluate
2οƒΈ
D ο€½ f xx ( a, b) οƒ— f yy ( a, b) ο€­  f xy ( a, b) 
-
2
ο€½ ( ο€­4) οƒ— ( ο€­6) ο€­ 0
ο€½ 24
Since D > 0 and f xx (a, b) ο€½ ο€­4 ο€Ό 0 we conclude that a relative maximum exists at
 ο€­1, 12 , f (ο€­1, 12)  ο€½  ο€­1, 12 ,7.75 .
3. Larange multiplier
Find maximum and minimum subject to…. (g(x)=0)
B1: Write constraint function as g(x)=0 (the right side must be 0)
B2: Write Lagrange function
𝑭(𝒙, π’š, 𝝀) = 𝒇(𝒙, π’š) − π€π’ˆ(𝒙, π’š) (πœ†: Lagrange multiplier)
B3: Find 𝑓π‘₯ (π‘₯, 𝑦, λ), 𝑓𝑦 (π‘₯, 𝑦, λ) π‘Žπ‘›π‘‘ 𝑓λ (π‘₯, 𝑦, λ)
𝑓π‘₯ (π‘₯, 𝑦, λ) = 0
B4: Solve equation system {𝑓𝑦 (π‘₯, 𝑦, λ) = 0
𝑓λ (π‘₯, 𝑦, λ) = 0
 (x,y)
B5: Substitute (x,y) above to evaluate Max/Min
B6: Conclusion
4. Double integrals
A double integral is something of the form
∬ 𝑓(π‘₯, 𝑦)𝑑π‘₯. 𝑑𝑦
𝑅
where R is called the region of integration and is a region in the (x, y) plane. The double integral gives
us the volume under the surface z = f(x, y), just as a single integral gives the area under a curve
 Áp dα»₯ng tính Thể tích
Problem example:
Note: Calculate from inside to outside
Problems: Interchanging Limits of Limitation (Apply if not first integrate the function with respect
to x)
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