The model tracks a small input change dx through successive local linear approximations. First, the inner function h(x)=x2 scales the input change by its derivative h′(x)=2x.
Conditions: Functions h and g are differentiable at the relevant points.; The input change dx is infinitesimal.; The outer derivative is evaluated at the inner function's output h(x), not at x.
The model tracks a small input change dx through successive local linear approximations. First, the inner function h(x)=x2 scales the input change by its derivative h′(x)=2x.
Conditions: Functions h and g are differentiable at the relevant points.; The input change dx is infinitesimal.; The outer derivative is evaluated at the inner function's output h(x), not at x.
Leibniz notation dxdy=dudydxdu resembles algebraic cancellation, but derivatives are limits, not ordinary fractions. The rigorous justification relies on expressing increments exactly as Δy=[g′(u)+ϵ]Δu with ϵ→0.
Conditions: Functions are differentiable.; The inner derivative du/dx can be zero.; The argument requires rigorous limit definitions, not informal algebra.
Leibniz notation dxdy=dudydxdu resembles algebraic cancellation, but derivatives are limits, not ordinary fractions. The rigorous justification relies on expressing increments exactly as Δy=[g′(u)+ϵ]Δu with ϵ→0.
Conditions: Functions are differentiable.; The inner derivative du/dx can be zero.; The argument requires rigorous limit definitions, not informal algebra.