If a 1 x 1 + a 2 x 2 ≤ b is one of the problem constraints in a standard maximization problem in standard form with two decision variables, and a 1 and a 2 are both positive, explain why the optimal value of the objective function exists. [Hint: See Theorem 2 in Section 5.3].
If a 1 x 1 + a 2 x 2 ≤ b is one of the problem constraints in a standard maximization problem in standard form with two decision variables, and a 1 and a 2 are both positive, explain why the optimal value of the objective function exists. [Hint: See Theorem 2 in Section 5.3].
Solution Summary: The author explains that the optimal solution exists for a standard maximization problem with two decision variables subject to constraint a_1x
If
a
1
x
1
+
a
2
x
2
≤
b
is one of the problem constraints in a standard maximization problem in standard form with two decision variables, and
a
1
and
a
2
are both positive, explain why the optimal value of the objective function exists. [Hint: See Theorem 2 in Section 5.3].
EXAMPLE 3
Find
S
X
√√2-2x2
dx.
SOLUTION Let u = 2 - 2x². Then du =
Χ
dx =
2- 2x²
=
信
du
dx, so x dx =
du and
u-1/2 du
(2√u) + C
+ C (in terms of x).
Let g(z) =
z-i
z+i'
(a) Evaluate g(i) and g(1).
(b) Evaluate the limits
lim g(z), and lim g(z).
2-12
(c) Find the image of the real axis under g.
(d) Find the image of the upper half plane {z: Iz > 0} under the function g.
k
(i) Evaluate
k=7
k=0
[Hint: geometric series + De Moivre]
(ii) Find an upper bound for the expression
1
+2x+2
where z lies on the circle || z|| = R with R > 10. [Hint: Use Cauchy-Schwarz]
Chapter 6 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
Calculus for Business, Economics, Life Sciences, and Social Sciences (14th Edition)
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