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Multivariable Extrema Calculator

Classify a critical point of f(x,y) by the Hessian test.

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D = f_xx·f_yy − f_xy²
e.g. x^3+y^3-3xy

📖 Tutorial | Multivariable Extrema

1. Theorem
Second-derivative test: if f_x=f_y=0 and partials are continuous, D=f_xx f_yy−f_xy². D>0 & f_xx>0 min; D>0 & f_xx<0 max; D<0 saddle; D=0 inconclusive.
2. Symbols
criticalf_x=f_y=0
DHessian discriminant
D>0extremum
D<0saddle
3. How it works
  • Check f_x,f_y≈0;
  • Compute three second partials;
  • Compute D and classify.
4. Steps
  1. Enter f(x,y);
  2. Enter the candidate critical point;
  3. Click Calculate.
5. Example
Example: f=x³+y³−3xy at (1,1).
Solution: f_xx=6, f_yy=6, f_xy=−3, D=27>0 and f_xx>0 → local minimum.
6. Pitfalls
Be sure it is a critical point first;
D=0 is inconclusive;
A saddle is neither max nor min.

❓ FAQ | Multivariable Extrema

How to find critical points?
Solve f_x=0, f_y=0.
Why look at f_xx when D>0?
f_xx and f_yy share sign; it decides min vs max.
What is a saddle?
Max in one direction, min in another.
D=0?
Inconclusive; use higher order or definition.
Auto-find critical points?
It classifies a point you supply.