Local Minimum (Definition)
Picture walking through a hilly landscape and arriving at the bottom of a small dip. You may not be at the lowest point of the whole region — there could be a deeper valley far away — but right here, every direction you step leads uphill. That dip is a local minimum: a point that is lower than everything immediately around it.
The precise definition
Let f be a function defined on an interval, and let c be a point in it. We say f has a local minimum (also called a relative minimum) at c if there is some δ>0 such that
f(c)≤f(x)for every x with ∣x−c∣<δ.
In words: throughout a small neighbourhood (c−δ, c+δ) around c, the value f(c) is the smallest. The value f(c) itself is called the local minimum value.
The word local is essential. A local minimum only has to beat its nearby points, not the entire domain. A function can have several local minima at different heights, and none of them need be the overall (global) minimum.
How it links to the derivative
If f is differentiable at a local minimum c, the tangent there is horizontal, so
f′(c)=0.
Such a point is called a critical point. But f′(c)=0 on its own does not guarantee a minimum — it could be a maximum or a point of inflection. To confirm a minimum, check that the function stops falling and starts rising there:
- First-derivative test: f′ changes sign from negative to positive as x increases through c (going downhill, then uphill).
- Second-derivative test: if f′(c)=0 and f′′(c)>0, then c is a local minimum (the curve is concave up, like a bowl). …