A surface has no single slope: stand on a hillside and the steepness depends on which way you face. Calculus handles this the way it handles everything — by reducing to a problem already solved. Freeze one variable and the surface collapses to a curve, and curves we know how to differentiate. Fix and the slice is an ordinary one-variable graph; its derivative at is the partial derivative
the slope of the surface at in the -direction. Freezing instead gives , the slope in the -direction. The figure makes both slices into objects you can drive.
Explore in 3D (opens in a new tab)The translucent dome with two thick curves lying on its skin: a red -direction slice at the fixed depth and a green -direction slice at the fixed position . Sliders and (each running to , starting at , ) drag the two curves across the dome; they always cross at the single surface point , where the red curve's slope is and the green curve's slope is .
Explore
Orbit until you sight straight down the -axis, so the red slice flattens into a one-variable graph. What familiar curve is it? Now sight down the -axis and read the green slice the same way.
Drag the slider slowly from to . The red curve sweeps across the dome — but watch its shape. Why does the parabola stay congruent to itself, only shifting in height? (Look at how enters .)
One of the two slices is noticeably flatter than the other. Predict which from the expression — is it the or the term that makes a shallower parabola? — then orbit to check.
Set both sliders to . The two curves now crest together at the summit , and each has slope zero there. What does that pair of zero slopes say about the summit — and what will we call such points in the next chapter?
Return the sliders to , and zoom in on the crossing point. Decide the sign of each slope by eye: walking east (increasing ), does the red curve climb or fall? Walking north along the green curve? The example below puts numbers to both.
Differentiating with one eye closed
Computing a partial derivative needs no new rules: differentiate as in one-variable calculus, treating the frozen variable as a constant. The notation (or ) simply records which variable moved. Both partials together will feed everything that follows — tangent planes in the next section, the gradient in the next chapter — but each one, alone, is just the slope of a slice curve you could draw in Chapter 1 of any calculus book.
The red slice's slope: f_x of the dome ✓ Computed · mojocas 0.1.0✓ Agrees with the text The red slice's slope: f_x of the dome, computed exactly by mojocas 0.1.0, and confirmed to agree with the result stated in the text.
The example's first partial, computed: freeze and differentiate in , and the red slice's slope is — at the scene's starting point that is , the eastward fall.
The green slice's slope: f_y of the dome ✓ Computed · mojocas 0.1.0✓ Agrees with the text The green slice's slope: f_y of the dome, computed exactly by mojocas 0.1.0, and confirmed to agree with the result stated in the text.
The second partial, with frozen instead: , which at evaluates to — the gentle northward climb of the green slice.
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