4.3 Lagrange Multipliers
Most optimization in practice comes with a leash: maximize , subject to . The leash changes everything. A constrained maximum is almost never at a critical point of itself — our specimen has only a saddle, no maximum at all — yet on the constraint circle the problem has clean, finite answers. The question is where to look, and the figure answers it twice over: once on the map, once along a ribbon.
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- Orbit to a low side view and follow the red ribbon once around. How many crests and how many troughs does it have? Note roughly where the crests sit over the dark circle.
- A crest is where , walking along the constraint, stops increasing and starts decreasing — it stalls. What is the ribbon's slope, measured along the walk, at a stall?
- The ribbon's height over the circle is . Using symmetry — the product is largest where and are equal and share a sign — predict the exact coordinates of the two crests and the value of there. Commit before revealing.
- Reveal the two hidden points with their eye toggles. They sit at the crests; zoom in and read their positions against the grid. Do they match your , ?
- Now the map view: orbit to look straight down and drag the contour plot's z-offset from up to . The whole family of level curves rides up the saddle as one sheet. As it reaches crest height, the curve meets the circle at exactly the two marked points — does it cross the circle there, or kiss it tangentially?
- Drag the z-offset back to about and look at where meets the circle: four honest crossings. Check against the ribbon — over those four points, is it at a crest, or still climbing? Say the connection out loud: crossing a level curve means the walk is still changing . (The 17 levels put drawn curves exactly at the integer values , so both curves in this step and the last are actually drawn; other level counts can hide them.)
From kiss to equations
At a tangency the constraint curve and the level curve share a tangent line, so their normals point along one line. Those normals are gradients — for the level curve, for the constraint — so at a constrained extremum
for some scalar , the Lagrange multiplier, solved together with . The logic runs through step 6: where the level curve crosses the constraint, level curves of larger and smaller value lie on either side, so sliding along the constraint still changes — no extremum there. Only a kiss can stop the walk, and the ribbon says the same thing in its own language: kisses on the map are stalls on the ribbon.
An original work of XYZ Homework, built around interactive XYZ 3D figures. Aligned to OpenStax Calculus Volume 3 (Strang & Herman), © OpenStax (Rice University), licensed CC BY-NC-SA 4.0; no OpenStax content is reproduced, and this work is not affiliated with or endorsed by OpenStax or Rice University. License: CC-BY-NC-SA-4.0.