Partial Derivatives and Differentiability
Compute coordinate rates and determine when they combine into a valid local linear model.
Builds on Surfaces, Level Sets and Multivariable Limits
The bigger question: How does a surface change in different directions?
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Freeze the other coordinates
The partial derivative is the one-variable derivative of at . The partial holds fixed instead. Higher partials record repeated coordinate differentiation. If mixed second partials are continuous near a point, Clairaut’s theorem gives there.
Differentiability is stronger than the mere existence of partial derivatives. It requires
Continuous first partials in a neighborhood are a useful sufficient condition. They are not a necessary condition for every differentiable function.
Visual guide
- Slice y = 2
- Tangent z = 3 + 4(x − 1)
Worked example: a tangent-plane estimate
For at , , and . The tangent plane is . At it predicts .
The exact value is . The error is , arising from the quadratic terms . A local plane can be accurate without agreeing exactly with the surface.
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
Hold y fixed when differentiating with respect to x.
Hint 2 · Take the next step
Treat the factor y as a constant multiplier.
Show the reasoning
Answer: 2xy
∂f/∂x=2xy. The expression x² is instead ∂f/∂y.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Worked example: partials are not enough
Define away from zero and . Along each coordinate axis the function is zero, so both partial derivatives at the origin exist and equal zero. Along , however, the values stay at . The function is not continuous and therefore cannot be differentiable there.
A formula for a plane constructed from partials does not establish that the plane is tangent in the differentiability sense. Check sufficient regularity or the remainder definition when the point is exceptional.
Practice
- Find both first partials of .
- Linearize at .
- Compute and for .
Show worked solutions
- and .
- .
- Both equal . Polynomial partials are continuous, so equality also follows from the theorem.
Further study
MIT OpenCourseWare: Multivariable Calculus provides a full university course with additional lectures and exercises.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.