gradient field
The vector field built by taking the gradient of a scalar function — an arrow at every point pointing in the direction that function increases fastest.
The gradient \nabla f = \langle f_x, f_y\rangle builds a vector at every point where f is differentiable, so every scalar function of two variables secretly comes with a vector field attached to it, pointing in the direction f increases fastest. A vector field that arises this way, as someone's gradient, is exactly what "conservative" means.
Examples
For f(x,y)=x^2+y^2, the gradient field is \nabla f = (2x,2y), pointing straight away from the origin everywhere.
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