Derivatives of Hyperbolic Functions
The hyperbolic functions are just combinations of and , and they act like sine and cosine with one sign flipped: , and with no minus sign. Since they're exponentials underneath, their derivatives come for free.
What the symbols mean
- Hyperbolic cosine
The shape of a hanging chain. Always at least 1.
Explanation
The hyperbolic functions are simply a few handy combinations of and that show up often enough to get their own names. ("Hyperbolic" because they trace out a hyperbola the way sine and cosine trace out a circle; more on that below.) The most famous one, , is the exact shape of a cable or chain hanging between two posts. The definitions look intimidating, but each is a simple mix: (the average of and ), (half their difference) and (one divided by the other, like ). Nothing new is going on here; it's all exponentials underneath.
The derivatives come straight from what you already know about exponentials: is its own derivative, and has derivative . So differentiating flips the sign on the term:
which is . Do the same to and you get . Compare that with trig, where . Here there's no minus sign.
The name. As varies, traces the circle . In the same way, traces the right half of the hyperbola . That's the identity , the hyperbolic cousin of with one sign changed.
Shapes. is an even U-shaped curve with its minimum, 1, at . It looks like a parabola but rises faster, since it's made of exponentials. is odd and always increasing. is an S-curve squeezed between and .
See it
Worked examples
Verify .
- 1
Square each definition, using for the middle term: and .
Practice
Type your answer and check it. Solve them all to complete the lesson.
Evaluate .
Differentiate .
Differentiate .
Find the slope of at .
A cable hangs in the shape . How high is its lowest point?
A cable hangs in the shape meters between poles at and . How steep is it where it meets the right-hand pole?
The hardest one here. Get it, and you've got this lesson.
Find the minimum value of .
Where it's used
Hanging cables and chains take the shape of a catenary, . The tanh S-curve shows up as a neural network activation and in the speed of an object falling with air resistance.