this post was submitted on 11 Jan 2025
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Daily Maths Challenges
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The surface gradient is the part of a 3d (n dimensional) gradient of a scalar valued function (e.g. a flux vector) that remains within a 2d (n-1 dimensional) surface, i.e. without the contribution normal to the surface.
The iso-lines, however, represent the regions where the function value remains constant. As the directional derivative, i.e. the scalar product of the gradient and the tangential vector of the curve must vanish, the gradient is orthogonal to those somewhat by definition. Yet, that the negative gradient is the direction of steepest descent, remains to be proven.