Q.If , for , then is a point of maxima or minima of ?
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Critical Points Analysis: Where Functions Change Direction
Hiking a mountain range, you reach peaks (highest spot around), valleys (bottoms), and flat stretches where the ground doesn't slope. These special locations — peaks, valleys, and flat spots — are critical points.
The Intuition
A function's graph is like that trail. At most points it is rising (positive slope) or falling (negative slope). At a critical point something changes: the slope becomes zero, or the slope doesn't exist (a sharp corner).
Throw a ball straight up: at the very top of its arc it stops for an instant before falling. Its velocity — the rate of change of height — is zero at that moment. That's a critical point.
The Precise Definition
A point in the domain of is a critical point if either:
Why Two Conditions?
Derivative equals zero catches the "flat" spots — peaks, valleys, horizontal plateaus — where the tangent line is horizontal.
Derivative does not exist catches sharp corners (like the tip of at ), vertical tangents, and cusps. Even without a zero slope, these can be peaks or valleys.
A common mistake: thinking every critical point is a maximum or minimum. Not true. A critical point could be a "saddle point" — flat but neither. For example, at has , yet the function just passes through with no extremum.
How to Find Critical Points
- Find the derivative .
- Solve — these are candidates.
- Check where does not exist — but only if exists there (the point must be in the domain).
- Collect all such -values.
Example 1: A Simple Polynomial
Let .
.
or . Since exists everywhere, the critical points are and .
Example 2: A Function with a Corner
Let . Here does not exist at (left derivative , right derivative ), and has no solutions. So the only critical point is .
is actually a minimum of — the sharp corner is a valley.
What Critical Points Tell Us …
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