Hyperbolic Functions Calculator: Compute sinh, cosh, tanh, and More
Table of Contents - Hyperbolic Functions
- Hyperbolic Functions in Engineering 2026
- How to Use This Calculator
- Understanding Hyperbolic Functions
- How to Calculate Hyperbolic Functions Manually
- Real-World Applications
- Worked Calculations and Scenarios
- Common Mistakes and How to Avoid Them
- Sources
- FAQs
Hyperbolic Functions in Engineering 2026
Hyperbolic functions appear throughout structural engineering, electrical systems, physics and machine learning. Their natural connection to exponential behaviour makes them essential for modelling real-world phenomena.
Catenary and Cable Structures
Suspension Cable Parameters:
| Span (m) | Sag (m) | Catenary Parameter a | cosh(L/2a) | Tension Factor | |----------|---------|---------------------|------------|----------------| | 100 | 5 | 250 | 1.020 | 0.98 | | 200 | 10 | 500 | 1.020 | 0.98 | | 500 | 25 | 1,250 | 1.020 | 0.98 | | 1,000 | 50 | 2,500 | 1.020 | 0.98 | | 2,000 | 100 | 5,000 | 1.020 | 0.98 |
Power Line Sag Calculations:
| Temperature (°C) | Tension (N) | a = T/w | Sag = a[cosh(L/2a)-1] | |------------------|-------------|---------|----------------------| | -10 | 45,000 | 2,250 | 5.56 m | | 0 | 42,000 | 2,100 | 5.95 m | | 20 | 38,000 | 1,900 | 6.58 m | | 40 | 34,000 | 1,700 | 7.35 m | | 60 | 30,000 | 1,500 | 8.33 m |
Electrical Transmission Lines
Characteristic Impedance Calculations:
| Line Type | Z₀ (Ω) | γ (per km) | cosh(γl) for 100 km | sinh(γl) for 100 km | |-----------|--------|------------|---------------------|---------------------| | Overhead 400 kV | 280 | 0.0003+j0.001 | 0.95∠6° | 0.10∠84° | | Underground 132 kV | 45 | 0.001+j0.003 | 0.85∠17° | 0.30∠73° | | Submarine HVDC | 30 | 0.002+j0.002 | 0.80∠23° | 0.45∠67° |
Transmission Line ABCD Parameters:
| Parameter | Formula | Physical Meaning | |-----------|---------|------------------| | A | cosh(γl) | Voltage ratio (no load) | | B | Z₀·sinh(γl) | Transfer impedance | | C | sinh(γl)/Z₀ | Transfer admittance | | D | cosh(γl) | Current ratio (short circuit) |
Machine Learning Activation Functions
tanh Activation Properties:
| x | tanh(x) | tanh'(x) = sech²(x) | Compared to sigmoid | |---|---------|---------------------|---------------------| | -3 | -0.995 | 0.010 | Maps to (-1, 1) | | -2 | -0.964 | 0.071 | Zero-centred | | -1 | -0.762 | 0.420 | Stronger gradient | | 0 | 0.000 | 1.000 | Maximum gradient | | 1 | 0.762 | 0.420 | Symmetric | | 2 | 0.964 | 0.071 | Saturates faster | | 3 | 0.995 | 0.010 | Nearly flat |
LSTM Gate Functions:
| Gate | Formula | Activation | Purpose | |------|---------|------------|---------| | Forget | f = σ(Wf·x + bf) | sigmoid | Memory retention | | Input | i = σ(Wi·x + bi) | sigmoid | New information | | Candidate | c̃ = tanh(Wc·x + bc) | tanh | Candidate values | | Output | o = σ(Wo·x + bo) | sigmoid | Output gate | | Hidden | h = o ⊙ tanh(c) | tanh | Final output |
Special Relativity
Rapidity and Velocity Relations:
| Velocity v/c | Rapidity φ = artanh(v/c) | γ = cosh(φ) | Time Dilation | |--------------|--------------------------|-------------|---------------| | 0.1 | 0.100 | 1.005 | 0.5% slower | | 0.3 | 0.310 | 1.048 | 4.8% slower | | 0.5 | 0.549 | 1.155 | 15.5% slower | | 0.8 | 1.099 | 1.667 | 66.7% slower | | 0.9 | 1.472 | 2.294 | 129% slower | | 0.99 | 2.647 | 7.089 | 609% slower | | 0.999 | 3.800 | 22.37 | 2137% slower |
Hyperbolic Function Reference Values
Common Values Table:
| x | sinh(x) | cosh(x) | tanh(x) | sech(x) | |---|---------|---------|---------|---------| | 0 | 0.000 | 1.000 | 0.000 | 1.000 | | 0.5 | 0.521 | 1.128 | 0.462 | 0.887 | | 1 | 1.175 | 1.543 | 0.762 | 0.648 | | 2 | 3.627 | 3.762 | 0.964 | 0.266 | | 3 | 10.02 | 10.07 | 0.995 | 0.099 | | 5 | 74.20 | 74.21 | 0.9999 | 0.013 |
How to Use This Calculator - Hyperbolic Functions
Enter a value for x to calculate hyperbolic functions. For example, enter 0, 1, -2, or 0.5.
Click "Calculate" to see sinh(x), cosh(x), tanh(x), coth(x), sech(x), and csch(x). The calculator also shows inverse hyperbolic functions when applicable.
The results display exact exponential forms, decimal approximations, and key identities verified for your input value.
Understanding Hyperbolic Functions
Hyperbolic functions are analogs of trigonometric functions but based on hyperbolas instead of circles. They appear throughout mathematics, physics, and engineering.
The basic definitions:
sinh(x) = (e^x - e^(-x)) / 2 (hyperbolic sine) cosh(x) = (e^x + e^(-x)) / 2 (hyperbolic cosine) tanh(x) = sinh(x) / cosh(x) (hyperbolic tangent)
The other three are reciprocals: csch(x) = 1/sinh(x) (hyperbolic cosecant) sech(x) = 1/cosh(x) (hyperbolic secant) coth(x) = 1/tanh(x) (hyperbolic cotangent)
Relationship to the hyperbola:
Just as cos²(t) + sin²(t) = 1 relates to the circle x² + y² = 1, the identity cosh²(x) - sinh²(x) = 1 relates to the hyperbola x² - y² = 1.
Why "hyperbolic":
These functions parameterize the unit hyperbola the same way trig functions parameterize the unit circle. The point (cosh(t), sinh(t)) lies on the hyperbola x² - y² = 1.
Connection to exponentials:
All hyperbolic functions can be expressed using e^x and e^(-x). This makes them natural in contexts involving exponential growth, decay, and differential equations.
Even and odd functions:
cosh(x) is even: cosh(-x) = cosh(x). Its graph is symmetric about the y-axis. sinh(x) is odd: sinh(-x) = -sinh(x). Its graph has rotational symmetry about the origin.
Behavior at zero:
sinh(0) = 0 cosh(0) = 1 tanh(0) = 0
These mirror the values sin(0) = 0, cos(0) = 1, tan(0) = 0.
Asymptotic behavior:
As x approaches infinity, both sinh(x) and cosh(x) approach e^x / 2. They grow exponentially. tanh(x) approaches 1 as x approaches infinity and -1 as x approaches negative infinity.
How to Calculate Hyperbolic Functions Manually
Let me show you how to compute these functions step by step.
Example 1: sinh(0)
Calculate sinh(0)
Step 1: Use the formula sinh(x) = (e^x - e^(-x)) / 2
Step 2: Substitute x = 0 sinh(0) = (e^0 - e^0) / 2
Step 3: Evaluate e^0 = 1 sinh(0) = (1 - 1) / 2 = 0 / 2 = 0
Example 2: cosh(0)
Calculate cosh(0)
Step 1: Formula cosh(x) = (e^x + e^(-x)) / 2
Step 2: Substitute cosh(0) = (e^0 + e^0) / 2
Step 3: Evaluate cosh(0) = (1 + 1) / 2 = 2 / 2 = 1
Example 3: sinh(1)
Calculate sinh(1) approximately
Step 1: Formula sinh(1) = (e^1 - e^(-1)) / 2
Step 2: Evaluate exponentials e ≈ 2.71828 e^(-1) = 1/e ≈ 0.36788
Step 3: Compute sinh(1) = (2.71828 - 0.36788) / 2 sinh(1) = 2.3504 / 2 sinh(1) ≈ 1.1752
Example 4: cosh(ln 2)
Calculate cosh(ln 2)
Step 1: Substitute into formula cosh(ln 2) = (e^(ln 2) + e^(-ln 2)) / 2
Step 2: Simplify exponentials e^(ln 2) = 2 e^(-ln 2) = e^(ln(1/2)) = 1/2
Step 3: Calculate cosh(ln 2) = (2 + 1/2) / 2 cosh(ln 2) = (5/2) / 2 cosh(ln 2) = 5/4 = 1.25
Example 5: tanh(0)
Calculate tanh(0)
Step 1: Use definition tanh(x) = sinh(x) / cosh(x)
Step 2: We know sinh(0) = 0 cosh(0) = 1
Step 3: Divide tanh(0) = 0 / 1 = 0
Example 6: Verify identity
Verify cosh²(1) - sinh²(1) = 1
Step 1: Calculate cosh(1) cosh(1) = (e + 1/e) / 2 ≈ (2.71828 + 0.36788) / 2 ≈ 1.5431
Step 2: Calculate sinh(1) sinh(1) ≈ 1.1752 (from Example 3)
Step 3: Compute cosh²(1) - sinh²(1) 1.5431² - 1.1752² ≈ 2.3811 - 1.3811 ≈ 1.0000 ✓
The identity holds!
Example 7: sech(0)
Calculate sech(0)
Step 1: Definition sech(x) = 1 / cosh(x)
Step 2: We know cosh(0) = 1
Step 3: Calculate sech(0) = 1 / 1 = 1
Example 8: Derivatives
Find d/dx [sinh(x)]
Step 1: Use definition sinh(x) = (e^x - e^(-x)) / 2
Step 2: Differentiate d/dx [sinh(x)] = (e^x - (-1)e^(-x)) / 2 = (e^x + e^(-x)) / 2
Step 3: Recognize This equals cosh(x)
So: d/dx [sinh(x)] = cosh(x)
Example 9: Addition formula
Calculate sinh(a + b) using sinh(a) and cosh(b)
Formula: sinh(a + b) = sinh(a)cosh(b) + cosh(a)sinh(b)
Example: sinh(2) using sinh(1) and cosh(1) sinh(2) = sinh(1 + 1) = sinh(1)cosh(1) + cosh(1)sinh(1) = 2·sinh(1)cosh(1) ≈ 2(1.1752)(1.5431) ≈ 3.6269
Verify: sinh(2) = (e² - e^(-2))/2 ≈ (7.389 - 0.135)/2 ≈ 3.627 ✓
Example 10: Inverse function
Find arsinh(1) (also written sinh⁻¹(1))
Step 1: Set up equation sinh(y) = 1
Step 2: Use formula arsinh(x) = ln(x + sqrt(x² + 1))
Step 3: Calculate arsinh(1) = ln(1 + sqrt(1 + 1)) = ln(1 + sqrt(2)) = ln(1 + 1.4142...) = ln(2.4142...) ≈ 0.8814
Real-World Applications
Catenary curves:
A hanging chain or cable forms a catenary, described by y = a·cosh(x/a). This appears in suspension bridges, power lines, and architecture.
Special relativity:
Hyperbolic functions describe rapidity (relativistic velocity). The Lorentz transformation uses cosh and sinh for spacetime rotations.
Heat transfer:
Temperature distribution in fins and extended surfaces follows hyperbolic equations. Engineers use these functions to model heat dissipation.
Electrical transmission lines:
Voltage and current along transmission lines are governed by hyperbolic functions, critical for power distribution analysis.
Magnetic fields:
Field distributions around certain conductor geometries involve hyperbolic functions in electromagnetic theory.
Probability and statistics:
The hyperbolic secant distribution and certain probability density functions use sech² terms.
Fluid dynamics:
Wave patterns and flow profiles in certain conditions are described using hyperbolic functions.
Structural engineering:
Arch shapes optimized for compressive stress often follow hyperbolic curves, making structures more stable.
Worked Calculations and Scenarios
Scenario 1: Power Line Catenary Analysis
Context: Calculating sag and tension for overhead transmission line.
Given:
Span length: L = 300 m
Conductor weight: w = 20 N/m
Maximum allowable sag: S = 8 m
Finding catenary parameter a:
Sag formula: S = a[cosh(L/2a) - 1]
For catenary with low sag/span ratio:
S ≈ L²/(8a) when L/a is small
Rearranging: a = L²/(8S)
a = 300²/(8 × 8) = 90,000/64 = 1,406 m
Verify with exact formula:
cosh(L/2a) = cosh(300/2812) = cosh(0.107)
cosh(0.107) = 1.00573
S = 1406 × (1.00573 - 1) = 1406 × 0.00573 = 8.06 m ✓
Conductor tension at lowest point:
T₀ = w × a = 20 × 1,406 = 28,120 N
Conductor length:
s = 2a × sinh(L/2a)
s = 2 × 1406 × sinh(0.107)
s = 2812 × 0.107 = 301.1 m
Extra length due to sag: 1.1 m
Scenario 2: Transmission Line Voltage Drop
Context: Long-distance AC power transmission analysis.
Given:
Line length: l = 200 km
Characteristic impedance: Z₀ = 300 Ω
Propagation constant: γ = (0.0002 + j0.001) per km
Sending end voltage: Vs = 400 kV
Calculate ABCD parameters:
γl = (0.0002 + j0.001) × 200 = 0.04 + j0.2
A = cosh(γl)
Let's compute cosh(0.04 + j0.2):
cosh(a + jb) = cosh(a)cos(b) + j·sinh(a)sin(b)
cosh(0.04) = 1.0008
sinh(0.04) = 0.0400
cos(0.2) = 0.9801
sin(0.2) = 0.1987
A = 1.0008 × 0.9801 + j × 0.0400 × 0.1987
A = 0.9809 + j0.00795
|A| = 0.981, ∠A = 0.46°
B = Z₀ × sinh(γl)
sinh(0.04 + j0.2) = sinh(0.04)cos(0.2) + j·cosh(0.04)sin(0.2)
= 0.0392 + j0.1989
B = 300 × (0.0392 + j0.1989)
B = 11.8 + j59.7 Ω
|B| = 60.8 Ω
No-load receiving voltage:
Vr = Vs/A = 400/0.981 = 408 kV
(Ferranti effect - voltage rise)
Scenario 3: Neural Network tanh Gradient
Context: Backpropagation through tanh activation layer.
Forward pass:
Input: x = 1.5
Activation: a = tanh(1.5) = 0.9051
Backward pass:
Derivative: da/dx = sech²(x) = 1 - tanh²(x)
Calculate:
tanh²(1.5) = 0.9051² = 0.8192
sech²(1.5) = 1 - 0.8192 = 0.1808
Gradient: da/dx = 0.1808
For batch of inputs:
x = [-2, -1, 0, 1, 2]
tanh(x) = [-0.964, -0.762, 0, 0.762, 0.964]
sech²(x) = [0.071, 0.420, 1.000, 0.420, 0.071]
Gradient vanishing problem:
For x = 3: sech²(3) = 0.0099
For x = 4: sech²(4) = 0.0013
Gradients become very small for large |x|,
leading to vanishing gradient in deep networks.
Scenario 4: Special Relativity Rapidity
Context: Adding relativistic velocities using hyperbolic functions.
Given:
Spaceship A moves at v₁ = 0.6c relative to Earth
Spaceship B moves at v₂ = 0.7c relative to A (same direction)
Find: Velocity of B relative to Earth
Classical (wrong): v = v₁ + v₂ = 1.3c (impossible!)
Relativistic using rapidity:
φ₁ = artanh(v₁/c) = artanh(0.6) = 0.6931
φ₂ = artanh(v₂/c) = artanh(0.7) = 0.8673
Total rapidity:
φ_total = φ₁ + φ₂ = 0.6931 + 0.8673 = 1.5604
Velocity of B relative to Earth:
v/c = tanh(φ_total) = tanh(1.5604) = 0.9154
v = 0.9154c ≈ 2.75 × 10⁸ m/s
Verification using velocity addition formula:
v = (v₁ + v₂)/(1 + v₁v₂/c²)
v = (0.6 + 0.7)/(1 + 0.42)
v = 1.3/1.42 = 0.9155c ✓
Scenario 5: Heat Transfer in Extended Surface
Context: Fin temperature distribution analysis.
Given:
Fin base temperature: Tb = 100°C
Ambient temperature: T∞ = 25°C
Fin length: L = 0.1 m
Fin parameter: m = √(hP/kA) = 20 m⁻¹
Temperature distribution (convecting tip):
θ(x)/θb = cosh[m(L-x)] + (h/mk)sinh[m(L-x)]
÷ [cosh(mL) + (h/mk)sinh(mL)]
Assuming h/mk = 0.1 (thin fin):
mL = 20 × 0.1 = 2
At base (x = 0):
θ(0)/θb = [cosh(2) + 0.1×sinh(2)] / [cosh(2) + 0.1×sinh(2)]
= 1 (as expected)
At tip (x = L):
θ(L)/θb = [cosh(0) + 0.1×sinh(0)] / [cosh(2) + 0.1×sinh(2)]
= 1 / [3.762 + 0.363]
= 1/4.125 = 0.242
Tip temperature:
T_tip = T∞ + 0.242(Tb - T∞)
= 25 + 0.242(75)
= 25 + 18.2
= 43.2°C
Heat transfer rate:
Q = √(hPkA) × θb × [sinh(mL) + (h/mk)cosh(mL)]
/ [cosh(mL) + (h/mk)sinh(mL)]
Scenario 6: Arch Bridge Design
Context: Inverted catenary for optimal compression.
Given:
Span: L = 50 m
Rise: H = 12 m
Required: Catenary equation for arch centre-line
Catenary equation: y = a × cosh(x/a)
Boundary conditions:
At x = 0 (centre): y = a (lowest point)
At x = ±L/2 = ±25: y = a + H (supports)
Therefore:
a + H = a × cosh(25/a)
a + 12 = a × cosh(25/a)
Solving iteratively:
Try a = 30:
cosh(25/30) = cosh(0.833) = 1.364
30 × 1.364 = 40.9
Need: 30 + 12 = 42 ✗
Try a = 28:
cosh(25/28) = cosh(0.893) = 1.419
28 × 1.419 = 39.7
Need: 28 + 12 = 40 ✓ (close)
Arch equation:
y = 28 × cosh(x/28) - 28
Or inverted (measuring from base):
h = 12 - [28×cosh(x/28) - 28]
h = 40 - 28×cosh(x/28)
At quarter-span (x = 12.5):
h = 40 - 28×cosh(0.446)
h = 40 - 28×1.101 = 9.2 m
Arch is 9.2 m high at quarter-span.
Common Mistakes and How to Avoid Them
Mistake 1: Confusing with trig functions
Wrong: Thinking sinh²(x) + cosh²(x) = 1
Right: cosh²(x) - sinh²(x) = 1 (note the minus sign)
Why it happens: Mixing up the hyperbolic identity with the Pythagorean identity. Remember: hyperbola has minus.
Mistake 2: Sign errors
Wrong: sinh(-x) = sinh(x)
Right: sinh(-x) = -sinh(x) (odd function)
Why it happens: Not remembering which is even and which is odd. cosh is even, sinh is odd.
Mistake 3: Wrong exponential form
Wrong: sinh(x) = (e^x + e^(-x)) / 2
Right: sinh(x) = (e^x - e^(-x)) / 2 (minus, not plus)
Why it happens: Confusing sinh and cosh formulas. sinh has minus, cosh has plus.
Mistake 4: Division by zero
Wrong: Calculating csch(0) = 1/sinh(0) = 1/0
Right: csch(0) is undefined. sinh(0) = 0, so you can't divide.
Why it happens: Not checking if the denominator is zero. Always verify.
Mistake 5: Inverse function domain
Wrong: Trying to find arcosh(-1)
Right: arcosh(x) requires x is greater than or equal to 1. arcosh(-1) is undefined.
Why it happens: Not knowing domain restrictions. cosh(x) is greater than or equal to 1 for all real x, so arcosh only defined for x is greater than or equal to 1.
Mistake 6: Derivative confusion
Wrong: d/dx[cosh(x)] = sinh(x) with a negative
Right: d/dx[cosh(x)] = sinh(x) (positive), d/dx[sinh(x)] = cosh(x)
Why it happens: Incorrectly applying chain rule thinking. These derivatives are simpler than trig.
Mistake 7: Addition formula errors
Wrong: cosh(a + b) = cosh(a) + cosh(b)
Right: cosh(a + b) = cosh(a)cosh(b) + sinh(a)sinh(b)
Why it happens: Thinking it distributes like regular addition. Use the proper addition formulas.
Sources
- Wolfram MathWorld: Hyperbolic Functions
- MIT OpenCourseWare: Differential Equations
- IEEE Power Engineering Society: Transmission Line Theory
- Journal of Machine Learning Research: Activation Functions
How This Calculator Works
Step 1: Input validation
Accept real number input x
Check for special values (0, 1, -1)
Verify domain for inverse functions
Step 2: Calculate basic functions
Compute e^x and e^(-x)
sinh(x) = (e^x - e^(-x)) / 2
cosh(x) = (e^x + e^(-x)) / 2
tanh(x) = sinh(x) / cosh(x)
Step 3: Calculate reciprocals
If sinh(x) ≠ 0: csch(x) = 1 / sinh(x)
If cosh(x) ≠ 0: sech(x) = 1 / cosh(x) (always defined)
If tanh(x) ≠ 0: coth(x) = 1 / tanh(x)
Step 4: Inverse functions (if requested)
arsinh(x) = ln(x + sqrt(x² + 1))
arcosh(x) = ln(x + sqrt(x² - 1)) for x ≥ 1
artanh(x) = ln((1+x)/(1-x)) / 2 for |x| is less than 1
Step 5: Verify identities
Check cosh²(x) - sinh²(x) = 1
Check tanh²(x) + sech²(x) = 1
Check coth²(x) - csch²(x) = 1
Step 6: Format output
Display exact symbolic form
Show decimal approximation
Provide exponential representation
List applicable identities
Step 7: Additional information
Show derivatives at x
Display series expansion (if small x)
Graph function behavior
FAQs
What are hyperbolic functions?
Functions defined using exponentials: sinh(x) = (e^x - e^(-x))/2, cosh(x) = (e^x + e^(-x))/2, and their ratios and reciprocals.
How are they different from trig functions?
Trig functions are based on circles; hyperbolic functions on hyperbolas. The key identity has a minus: cosh² - sinh² = 1.
What does sinh stand for?
Hyperbolic sine, pronounced "sinch" or "shine" or "s-i-n-h."
Why use hyperbolic functions?
They naturally appear in solutions to differential equations, catenary curves, relativity, and many physics and engineering problems.
What is the catenary?
The curve formed by a hanging chain, given by y = a·cosh(x/a). It's the optimal shape for arches under compression.
Are sinh and cosh even or odd?
cosh is even: cosh(-x) = cosh(x). sinh is odd: sinh(-x) = -sinh(x).
What is the fundamental identity?
cosh²(x) - sinh²(x) = 1 for all x. This mirrors cos² + sin² = 1 but with a minus sign.
How do I calculate sinh(x) without a calculator?
Use sinh(x) = (e^x - e^(-x)) / 2. Calculate e^x and e^(-x), subtract, and divide by 2.
What is tanh(x) useful for?
Activation functions in neural networks, velocity in relativity, and modeling saturation effects. It maps all reals to (-1, 1).
What are the derivatives?
d/dx[sinh(x)] = cosh(x), d/dx[cosh(x)] = sinh(x), d/dx[tanh(x)] = sech²(x).
Do addition formulas exist?
Yes, similar to trig: sinh(a+b) = sinh(a)cosh(b) + cosh(a)sinh(b), and cosh(a+b) = cosh(a)cosh(b) + sinh(a)sinh(b).
What is arsinh?
The inverse of sinh, also written sinh⁻¹. arsinh(x) = ln(x + sqrt(x² + 1)).
Can hyperbolic functions be negative?
sinh(x) can be negative (when x is less than 0). cosh(x) is always at least 1. tanh(x) ranges from -1 to 1.
What is the range of cosh(x)?
[1, ∞). The minimum value is cosh(0) = 1.
How do you pronounce these?
sinh: "sinch" or "shine", cosh: "cosh" (rhymes with "gosh"), tanh: "tanch" or "than".
What is sech used for?
The hyperbolic secant appears in soliton solutions, pulse shapes in optics, and probability distributions.
Are there double-angle formulas?
Yes. sinh(2x) = 2sinh(x)cosh(x) and cosh(2x) = cosh²(x) + sinh²(x) = 2cosh²(x) - 1.
What's the relationship to complex numbers?
sinh(ix) = i·sin(x) and cosh(ix) = cos(x). Hyperbolic functions are trig functions with imaginary arguments.
Can I integrate these?
Yes. ∫sinh(x)dx = cosh(x) + C, ∫cosh(x)dx = sinh(x) + C.
Why does cosh(0) = 1?
Because cosh(0) = (e^0 + e^0)/2 = (1 + 1)/2 = 1.