The hyperbolic functions behave like the trigonometric ones, but without the alternating minus signs.
\[\frac{d}{dx}\tanh x = \operatorname{sech}^{2} x\]
What it says
They are built directly from exponentials: \(\sinh x = \frac{e^{x} - e^{-x}}{2}\) and \(\cosh x = \frac{e^{x} + e^{-x}}{2}\). Differentiating those definitions immediately gives \(\left(\sinh x\right)' = \cosh x\) and \(\left(\cosh x\right)' = \sinh x\) — no minus sign anywhere.
The rest follow by the quotient rule: \(\left(\tanh x\right)' = \operatorname{sech}^{2}x\), \(\left(\operatorname{sech} x\right)' = -\operatorname{sech} x\tanh x\), \(\left(\coth x\right)' = -\operatorname{csch}^{2}x\).
The identity in play is \(\cosh^{2}x - \sinh^{2}x = 1\), a minus where the circular functions have a plus. That single sign difference is the whole distinction between the two families.
When it applies
\(\sinh\), \(\cosh\), \(\tanh\) and their reciprocals.
Catenary curves, and \(\tanh\) as an activation function in neural networks.
With the chain rule for a compound argument.
Five worked examples
Every line is the step the calculator would show, in the order it applies them. Each graph
is live: hover it to read both curves and see the tangent whose slope is the derivative,
drag to pan, scroll to zoom.
f′ is \(\cosh\), which sits above \(\sinh\) at every point, so the two curves approach but never meet. To the right both are dominated by \(\tfrac{e^{x}}{2}\) and the gap closes; to the left, \(\sinh\) dives while \(\cosh\) climbs.