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Monday, September 14, 2026

📉 Extreme Values of f(x,y) = x⁴+y⁴-2x²+4xy-2y² | Stationary Points & Inconclusive Test 🧮 | Example 3

Stationary Points of Two-Variable Functions — Worked Example

WORKED EXAMPLE 3· Engineering Mathematics

Extreme Values of a Quartic Two‑Variable Function

A full walkthrough of stationary points and the second‑derivative test, applied to \(f(x,y) = x^4 + y^4 - 2x^2 + 4xy - 2y^2\) — including the case where the test itself stays silent.

Topic · Maxima & Minima Level · Partial Differentiation Read time · 5 min
  • #PartialDerivatives
  • #StationaryPoints
  • #SecondDerivativeTest
  • #CalculusOfTwoVariables
  • #InconclusiveCase

Watch first — Example 3

Locating local maxima, minima, and saddle points for a function of two variables — a companion explainer on YouTube.

Before the algebra, the idea is simple: a smooth surface \(z = f(x,y)\) flattens out at its peaks, valleys, and saddles. Set both partial derivatives to zero to find those flat points, then use a second‑derivative test to tell which kind each one is.

📐 The worked example 3

A classic board question, solved step by step.

Example · multiple stationary points, including an inconclusive one

Examine for extreme values of \(f(x,y) = x^4 + y^4 - 2x^2 + 4xy - 2y^2\)A/M‑23‑R‑21

Step 1 — First partial derivatives

\[ f_x = \frac{\partial f}{\partial x} = 4x^3 - 4x + 4y \qquad\qquad f_y = \frac{\partial f}{\partial y} = 4y^3 + 4x - 4y \]

Step 2 — Locate the stationary points

\[ f_x = 0 \;\Rightarrow\; x^3 - x + y = 0 \qquad\qquad f_y = 0 \;\Rightarrow\; y^3 - x + y = 0 \]

Subtracting the two equations gives \(y = -x\). Substituting into \(x^3 - x + y = 0\):

\[ x^3 - x - x = 0 \;\Rightarrow\; x^3 - 2x = 0 \;\Rightarrow\; x(x^2 - 2) = 0 \;\Rightarrow\; x = 0,\ \pm\sqrt{2} \]

With \(y = -x\), this gives three stationary points: \((0,\,0)\), \((\sqrt{2},\,-\sqrt{2})\), and \((-\sqrt{2},\,\sqrt{2})\).

Surface of \(f(x,y) = x^4+y^4-2x^2+4xy-2y^2\) — two symmetric wells at \((\pm\sqrt{2},\,\mp\sqrt{2})\) with a flat, inconclusive saddle region at the origin.

Step 3 — Second partial derivatives

\[ A = f_{xx} = \frac{\partial^2 f}{\partial x^2} = 12x^2 - 4 \qquad B = f_{xy} = \frac{\partial^2 f}{\partial y\, \partial x} = 4 \qquad C = f_{yy} = \frac{\partial^2 f}{\partial y^2} = 12y^2 - 4 \]

Step 4 — Classify each point

\((0,\,0)\)\((\sqrt{2},\,-\sqrt{2})\)\((-\sqrt{2},\,\sqrt{2})\)
A = \(12x^2-4\)−4 < 020 > 020 > 0
B = 4444
C = \(12y^2-4\)−42020
\(AC - B^2\)0384 > 0384 > 0
InconclusiveMinimumMinimum

At \((0,0)\), \(AC-B^2=0\) — the test gives no verdict there. At the other two points, \(AC-B^2 > 0\) with \(A>0\), so both are minima.

Step 5 — Evaluate the minimum values

\[ f(\sqrt{2},-\sqrt{2}) = 4 + 4 - 4 - 8 - 4 = -8 \]
\[ f(-\sqrt{2},\sqrt{2}) = 4 + 4 - 8 - 4 - 4 = -8 \]
Minimum value of \(f(x,y)\), at \((\sqrt{2},\,-\sqrt{2})\) −8
Minimum value of \(f(x,y)\), at \((-\sqrt{2},\,\sqrt{2})\) −8

💡 Why this matters

Three things worth keeping from this example.

  • A stationary point only tells you where the surface is flat — the second‑derivative test tells you what kind of flat it is.
  • \(AC - B^2 > 0\) rules out a saddle; the sign of \(A\) (or \(C\)) then decides maximum versus minimum.
  • By symmetry, both \((\sqrt2,-\sqrt2)\) and \((-\sqrt2,\sqrt2)\) reach the same minimum value — the surface has two identical wells.
  • When \(AC - B^2 = 0\), the second‑derivative test is silent — as at \((0,0)\) here — and a closer look (or a higher‑order check) is needed to classify the point.

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