1. Show that the following functions are convex by verifying the definition, i.e., that f(x + (1-X)y) ≤ f(x) + (1-x)f(y) is satisfied for all x, y in the domain of f and all A = [0, 1]: (a) f(u) = 1, u > 0, (b) f(u) = lu, u € R.
1. Show that the following functions are convex by verifying the definition, i.e., that f(x + (1-X)y) ≤ f(x) + (1-x)f(y) is satisfied for all x, y in the domain of f and all A = [0, 1]: (a) f(u) = 1, u > 0, (b) f(u) = lu, u € R.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Use hessian matrix to solve
![1. Show that the following functions are convex by verifying the definition, i.e., that
f(x + (1-X)y) ≤ f(x) + (1 - A)f(y)
is satisfied for all x, y in the domain of f and all A = [0, 1]:
(a) f(u) = 1, u > 0,
(b) f(u) |u, u R.
2. Show that the following functions are convex by verifying the condition that
V² f(x) 20
is satisfied for all az in the domain of f:
(a) f(u₁, u₂) In(e" + e"),
(b) f(u₁, U2, U3, U4) - In(1-u₁-u2-us-u4) over the domain {u R¹|u₁ + ₂ + 3 + 4 ≤ 1}.
3. Use the definition of a convex set to show that if S₁ and S₂ are convex sets in Rm+n, then so is their
partial sum
S = {(x, y₁ + y₂) | x ER", 1,92 € R"; (a; y₁) S₁, (x, y2) € S₂}.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff4589616-f4fd-4eb5-854c-a0440b9d838b%2F5991ef55-ebd4-4415-a50c-9263c5d3f4d0%2Fzeocvtl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1. Show that the following functions are convex by verifying the definition, i.e., that
f(x + (1-X)y) ≤ f(x) + (1 - A)f(y)
is satisfied for all x, y in the domain of f and all A = [0, 1]:
(a) f(u) = 1, u > 0,
(b) f(u) |u, u R.
2. Show that the following functions are convex by verifying the condition that
V² f(x) 20
is satisfied for all az in the domain of f:
(a) f(u₁, u₂) In(e" + e"),
(b) f(u₁, U2, U3, U4) - In(1-u₁-u2-us-u4) over the domain {u R¹|u₁ + ₂ + 3 + 4 ≤ 1}.
3. Use the definition of a convex set to show that if S₁ and S₂ are convex sets in Rm+n, then so is their
partial sum
S = {(x, y₁ + y₂) | x ER", 1,92 € R"; (a; y₁) S₁, (x, y2) € S₂}.
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