Cosh — Definition, Formula & Examples
Cosh is the standard abbreviation for the hyperbolic cosine function, written as . It returns the average of and and produces a smooth, U-shaped curve called a catenary.
The hyperbolic cosine function is defined for all real numbers by , where is Euler's number. It is an even function with range , satisfying the identity .
Key Formula
Where:
- = Any real number (the input to the function)
- = Euler's number, approximately 2.71828
How It Works
To evaluate , compute and , add them, and divide by 2. Because you are averaging two positive exponentials, the output is always at least 1. The function is symmetric about the -axis, meaning . Engineers use cosh to describe the shape a hanging cable or chain naturally assumes under gravity — this curve is called a catenary. In calculus, cosh has the convenient property that its derivative is , and the derivative of is , creating a clean differentiation cycle.
Worked Example
Problem: Evaluate cosh(2) to four decimal places.
Step 1: Compute .
Step 2: Compute .
Step 3: Add the two values and divide by 2.
Answer:
Another Example
Problem: Verify that cosh(0) = 1.
Step 1: Substitute into the definition.
Step 2: Since , simplify.
Answer: , confirming the minimum value of the function.
Visualization
Why It Matters
Cosh appears throughout college-level calculus, differential equations, and physics. Structural engineers rely on the catenary curve to design arches and suspension cables that distribute load evenly. In differential equations, and serve as the fundamental solutions to , making them as central to that course as sine and cosine are to oscillatory problems.
Common Mistakes
Mistake: Confusing the sign in the identity: writing instead of the correct form.
Correction: The hyperbolic Pythagorean identity uses a minus sign: . The plus sign belongs to the circular identity .
Mistake: Assuming can output values less than 1 or negative values.
Correction: Because and are both positive, their average is always at least 1. The minimum value is a global minimum.
