Show that the following functions are convex by verifying the definition, i.e., that. f(x + (1-A)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. =

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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1. Show that the following functions are convex by verifying the definition, i.e., that
f(Xr+ (1-X)y) ≤ f(x) + (1-X)f(y)
is satisfied for all r, y in the domain of f and all λ = [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
² f(x) > 0
is satisfied for all a in the domain of f:
(a) f(u₁, u₂) In(e" + e"),
=
(b) f(u₁, U2, U3, U4) = ln(1-u₁-uz-us-u4) over the domain {u E R4|u₁ + ₂ + us+ us ≤ 1}.
3. Use the definition of a convex set to show that if S₁ and S₂ are convex sets in R+", then so is their
partial sum
S = {(x,y₁ + y2) | ER", ₁,92 € R"; (a; y₁) S₁, (x, y2) € S₂}.
Transcribed Image Text:1. Show that the following functions are convex by verifying the definition, i.e., that f(Xr+ (1-X)y) ≤ f(x) + (1-X)f(y) is satisfied for all r, y in the domain of f and all λ = [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 ² f(x) > 0 is satisfied for all a in the domain of f: (a) f(u₁, u₂) In(e" + e"), = (b) f(u₁, U2, U3, U4) = ln(1-u₁-uz-us-u4) over the domain {u E R4|u₁ + ₂ + us+ us ≤ 1}. 3. Use the definition of a convex set to show that if S₁ and S₂ are convex sets in R+", then so is their partial sum S = {(x,y₁ + y2) | ER", ₁,92 € R"; (a; y₁) S₁, (x, y2) € S₂}.
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