12.1310 min read
Calculating Critical Points
To find all critical points of , solve the system , i.e., all partial derivatives equal to zero simultaneously. This is an -equation system in unknowns.
For polynomial or rational functions, this typically reduces to solving polynomial equations. The system may have zero, finitely many, or infinitely many solutions. Each solution is a critical point — but we must classify it further to determine if it is a local minimum, local maximum, or saddle point.
Example: for : Critical points: and .
Formal View
Example 12.2 — Finding Critical Points
For :
Substituting: ,
Unique critical point: .
Why This Matters
Solving analytically gives the exact critical points when possible.
- Finding MLE estimators: set gradient of log-likelihood to zero and solve
- Deriving least squares solutions: gives normal equations
- Physics: equilibrium positions solve where is potential energy
Quiz
Question 1
For , the critical point is at:
Question 2
A differentiable function of two variables always has at least one critical point.
Common Mistakes
- Solving each equation independently without checking they are simultaneously satisfied.
- Stopping after finding one critical point without checking if others exist.
- Assuming every system has a unique solution — it can have zero, one, or many solutions.