The tangent line to a differentiable function at is its affine first-order approximation . For a differentiable concave function, it is an upper bound throughout a convex interval: the secant-slope inequality and passage to the derivative give . This upper bound constructs valid envelopes in adaptive rejection sampling.
A tangent line parallel to the vertical coordinate axis. For a regular level set , the conditions and make the tangent line vertical: the relation forces . The implicit function theorem then expresses locally as a differentiable function of , although a graph has no finite derivative there. The curve at the origin is a simple example.
A line tangent to two curves or to a curve at two distinct points. For functions , contact at requires equal derivatives and equal intercepts: and . The common-tangent construction uses the lower supporting line for phase coexistence.
For a nonzero real constant , the tangent line to at passes through the origin precisely when . Thus , , and its slope is . This gives the unique such tangent line. If , the graph is the horizontal line and no tangent line through the origin exists. The equality between the derivative and the slope from the origin, , is useful for other differentiable functions too.
At a regular point of a differentiable plane curve, the normal line passes through that point perpendicular to its tangent line. If the tangent slope is a finite nonzero number , the normal slope is , since the direction vectors and have zero dot product. A horizontal tangent has a vertical normal, and a vertical tangent has a horizontal normal. For a regular level set , the nonzero gradient gives a normal direction because differentiating along the curve gives .
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