• rate of change of a quantity across space or along a dimension
  • mathematically: vector of partial derivatives pointing in the direction of steepest increase
  • temperature gradients drive heat flow (Fourier’s law)
  • concentration gradients drive diffusion (Fick’s law)
  • pressure gradients drive fluid flow
  • electrochemical gradients across cell membranes power ATP synthesis and nerve impulses
  • altitude gradients shape climate zones, vegetation bands, and species distribution
  • gradient descent: optimization algorithm that follows the negative gradient to minimize a loss function
  • central to machine learning, thermodynamics, fluid dynamics, and ecology