Suppose f:[a,b]→R, and
F=f([a,b])={f(x)∣x∈[a,b]}. Both minimum and maximum
values are called the extremums.
Maximum
Maximum of the function f is f(c) where c∈[a,b] iff:
∀x∈[a,b],f(c)≥f(x)
aka. Global Maximum. Maximum doesn’t exist always.
Local Maximum
A Local maximum of the function f is f(c) where c∈[a,b] iff:
∃δ∀x(0<∣x−c∣<δ⟹f(c)≥f(x))
Global maximum is obviously a local maximum.
The above statement can be simplified when c=a or c=b.
When c=a:
∃δ∀x(0<x−c<δ⟹f(c)≥f(x))
When c=b:
∃δ∀x(−δ<x−c<0⟹f(c)≥f(x))
Minimum
Minimum of the function f is f(c) where c∈[a,b] iff:
∀x∈[a,b],f(c)≤f(x)
aka. Global Minimum. Minimum doesn’t exist always.
Local Minimum
∃δ∀x(0<∣x−c∣<δ⟹f(c)≤f(x))
Global minimum is obviously a local maximum.
The above statement can be simplified when c=a or c=b.
When c=a:
∃δ∀x(0<x−c<δ⟹f(c)≤f(x))
When c=b:
∃δ∀x(−δ<x−c<0⟹f(c)≤f(x))
Special cases
f is continuous
Then by
Extreme Value Theorem,
we know f has a minimum and maximum in [a,b].
f is differentiable
- If f(a) is a local maximum: f+′(a)≤0
- If f(b) is a local maximum: f-′(b)≥0
- c∈(a,b) and If f(c) is a local maximum: f′(c)=0
- If f(a) is a local minimum: f+′(a)≥0
- If f(b) is a local minimum: f-′(b)≤0
- c∈(a,b) and If f(c) is a local minimum: f′(c)=0