2.5 Series, Hyperbolic Functions, Multivariable Calculus, and Laplace Transforms

Key Takeaways

  • The hyperbolic cosine cosh x = (eˣ + e⁻ˣ)/2 describes a hanging cable, and cosh²x − sinh²x = 1.

  • A power series converges where the ratio test limit |a_(n+1)/a_n| is less than 1, which defines its radius of convergence.

  • The total differential dz = (∂z/∂x)dx + (∂z/∂y)dy estimates the change or error in a computed quantity.

  • The Laplace transform turns a linear differential equation with initial conditions into an algebraic equation in s.

  • Work done pumping liquid out of a tank equals the integral of γ × (slice area) × (lift distance) over the liquid depth.

Last updated: October 2026

2.5 Series, Hyperbolic Functions, Multivariable Calculus, and Laplace Transforms

The 2022 AMSTHC table of specifications (TOS) gives Calculus and Differential Equations five competencies each, at one item per competency. Section 2.3 covers derivatives and single-variable integration, and Section 2.4 covers first-order and constant-coefficient equations. This section covers the remaining competencies:

  • Plane curves and hyperbolic functions (Calculus 1.3)
  • Infinite sequences, power series and infinite series (Calculus 1.4)
  • Partial derivatives (Calculus 1.5)
  • Integration for areas, volumes, force and work (Differential Equations 2.1)
  • Systems of linear differential equations (Differential Equations 2.3)
  • Double and triple integrals (Differential Equations 2.4)
  • Laplace transforms (Differential Equations 2.5)

Plane Curves and Curvature

A curve may be given as y=f(x)y = f(x), parametrically as x=x(t)x = x(t) and y=y(t)y = y(t), or in polar form as r=f(θ)r = f(\theta). Engineers most often need its slope, its arc length and its curvature.

QuantityCartesian y=f(x)y = f(x)Parametric
Slopey′y'dy/dtdx/dt\dfrac{dy/dt}{dx/dt}
Arc length∫1+(y′)2 dx\int \sqrt{1 + (y')^2}\,dx∫x˙2+y˙2 dt\int \sqrt{\dot{x}^2 + \dot{y}^2}\,dt
Radius of curvatureρ=[1+(y′)2]3/2∣y′′∣\rho = \dfrac{[1 + (y')^2]^{3/2}}{\lvert y'' \rvert}ρ=(x˙2+y˙2)3/2∣x˙y¨−y˙x¨∣\rho = \dfrac{(\dot{x}^2 + \dot{y}^2)^{3/2}}{\lvert \dot{x}\ddot{y} - \dot{y}\ddot{x} \rvert}

Example. For y=x2/40y = x^2/40 at x=10x = 10: y′=0.5y' = 0.5 and y′′=0.05y'' = 0.05. Then ρ=(1.25)1.5/0.05=27.95\rho = (1.25)^{1.5}/0.05 = 27.95. This is the same idea as the radius of a parabolic vertical curve at a point.


Hyperbolic Functions

sinh⁡x=ex−e−x2,cosh⁡x=ex+e−x2,tanh⁡x=sinh⁡xcosh⁡x\sinh x = \frac{e^x - e^{-x}}{2}, \qquad \cosh x = \frac{e^x + e^{-x}}{2}, \qquad \tanh x = \frac{\sinh x}{\cosh x}

Identity or derivativeResult
Fundamental identitycosh⁡2x−sinh⁡2x=1\cosh^2 x - \sinh^2 x = 1
Double anglesinh⁡2x=2sinh⁡xcosh⁡x\sinh 2x = 2\sinh x\cosh x; cosh⁡2x=cosh⁡2x+sinh⁡2x\cosh 2x = \cosh^2 x + \sinh^2 x
Derivativesddxsinh⁡x=cosh⁡x\frac{d}{dx}\sinh x = \cosh x; ddxcosh⁡x=sinh⁡x\frac{d}{dx}\cosh x = \sinh x; ddxtanh⁡x=sech2x\frac{d}{dx}\tanh x = \text{sech}^2 x
Inversesinh⁡−1x=ln⁡(x+x2+1)\sinh^{-1} x = \ln\left(x + \sqrt{x^2 + 1}\right)

A cable hanging under its own weight takes the shape y=ccosh⁡(x/c)y = c\cosh(x/c), which is why the catenary in Section 11.3 uses these functions. Example: cosh⁡1=(2.71828+0.36788)/2=1.5431\cosh 1 = (2.71828 + 0.36788)/2 = 1.5431.


Sequences, Infinite Series and Power Series

An infinite series ∑an\sum a_n converges if its partial sums approach a finite limit. For civil engineering problems, the key tests are:

  • Divergence test. If an↛0a_n \not\to 0, the series diverges.
  • Geometric series. ∑arn\sum a r^{n} converges to a/(1−r)a/(1-r) when ∣r∣<1\lvert r \rvert < 1.
  • p-series. ∑1/np\sum 1/n^p converges only when p>1p > 1. The harmonic series (p=1p = 1) diverges.
  • Ratio test. If L=lim⁡∣an+1/an∣<1L = \lim \lvert a_{n+1}/a_n \rvert < 1, the series converges; if L>1L > 1, it diverges.

A power series ∑cn(x−a)n\sum c_n (x - a)^n converges within a radius of convergence RR found from the ratio test. Taylor series about x=ax = a (Maclaurin when a=0a = 0):

f(x)=∑n=0∞f(n)(a)n!(x−a)nf(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(a)}{n!}(x - a)^n

FunctionMaclaurin seriesValid for
exe^x1+x+x22!+x33!+⋯1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdotsall xx
sin⁡x\sin xx−x33!+x55!−⋯x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdotsall xx
cos⁡x\cos x1−x22!+x44!−⋯1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdotsall xx
ln⁡(1+x)\ln(1+x)x−x22+x33−⋯x - \frac{x^2}{2} + \frac{x^3}{3} - \cdots−1<x≤1-1 < x \le 1
(1+x)k(1+x)^k1+kx+k(k−1)2!x2+⋯1 + kx + \frac{k(k-1)}{2!}x^2 + \cdots∣x∣<1\lvert x \rvert < 1

These series justify everyday engineering approximations, such as sin⁡θ≈θ\sin\theta \approx \theta, cos⁡θ≈1−θ2/2\cos\theta \approx 1 - \theta^2/2, and the slope correction h2/(2s)h^2/(2s) in taping.


Partial Derivatives and the Total Differential

For z=f(x,y)z = f(x, y), the partial derivative ∂z/∂x\partial z/\partial x treats yy as constant. The total differential estimates how zz changes when both variables change slightly:

dz=∂z∂xdx+∂z∂ydydz = \frac{\partial z}{\partial x}dx + \frac{\partial z}{\partial y}dy

Error example. A rectangular footing is measured as 2.00±0.01 m2.00 \pm 0.01\text{ m} by 3.00±0.01 m3.00 \pm 0.01\text{ m}. Area A=xy=6.00 m2A = xy = 6.00\text{ m}^2, and dA=y dx+x dy=3(0.01)+2(0.01)=0.05 m2dA = y\,dx + x\,dy = 3(0.01) + 2(0.01) = 0.05\text{ m}^2, or about 0.8%0.8\%.

Second partials give curvature, and setting ∂f/∂x=∂f/∂y=0\partial f/\partial x = \partial f/\partial y = 0 locates critical points of a two-variable function. A critical point is a minimum when fxx>0f_{xx} > 0 and fxxfyy−fxy2>0f_{xx}f_{yy} - f_{xy}^2 > 0.


Applications of Integration: Force and Work

  • Work by a variable force: W=∫abF(x) dxW = \int_a^b F(x)\,dx. For a spring, W=12k(x22−x12)W = \frac{1}{2}k(x_2^2 - x_1^2).
  • Pumping liquid: a horizontal slice at depth yy has weight γA(y) dy\gamma A(y)\,dy and must be lifted a distance L(y)L(y), so W=∫γA(y)L(y) dyW = \int \gamma A(y) L(y)\,dy.
  • Hydrostatic force on a vertical plate: F=∫γ y w(y) dyF = \int \gamma\, y\, w(y)\,dy, where w(y)w(y) is the plate width at depth yy.

Example. A cylindrical tank 2 m2\text{ m} in radius and 5 m5\text{ m} deep is full of water. All of it is pumped over the rim. Each slice of thickness dydy at depth yy below the rim weighs 9.81π(2)2 dy9.81\pi(2)^2\,dy kN and is lifted yy meters:

W=∫059.81(4π) y dy=9.81(4π)252=1,541 kJW = \int_0^5 9.81(4\pi)\,y\,dy = 9.81(4\pi)\frac{25}{2} = 1{,}541\text{ kJ}


Double and Triple Integrals

A double integral ∬Rf(x,y) dA\iint_R f(x,y)\,dA sums ff over a plane region. With f=1f = 1 it gives area; with ff as a height it gives volume. Triple integrals ∭f dV\iiint f\,dV give volume, mass and moments of solids.

Example. The volume under z=6−x−2yz = 6 - x - 2y over the rectangle 0≤x≤20 \le x \le 2, 0≤y≤10 \le y \le 1:

V=∫01∫02(6−x−2y) dx dy=∫01(12−2−4y) dy=10−2=8V = \int_0^1 \int_0^2 (6 - x - 2y)\,dx\,dy = \int_0^1 (12 - 2 - 4y)\,dy = 10 - 2 = 8

In polar coordinates, dA=r dr dθdA = r\,dr\,d\theta. That form makes circular regions simple: the area of a circle is ∫02π∫0Rr dr dθ=πR2\int_0^{2\pi}\int_0^R r\,dr\,d\theta = \pi R^2.


Systems of Linear Differential Equations

Coupled first-order equations such as x′=ax+byx' = a x + b y and y′=cx+dyy' = c x + d y describe two interacting quantities. Examples are two connected tanks or two masses on springs. Write the system as X′=AX\mathbf{X}' = A\mathbf{X}. For each eigenvalue λ\lambda of AA with eigenvector v\mathbf{v}, eλtve^{\lambda t}\mathbf{v} is a solution, and the general solution is their combination.

Example. x′=yx' = y and y′=4xy' = 4x. The eigenvalues satisfy λ2−4=0\lambda^2 - 4 = 0, so λ=±2\lambda = \pm 2. Hence x=C1e2t+C2e−2tx = C_1 e^{2t} + C_2 e^{-2t}, and y=x′=2C1e2t−2C2e−2ty = x' = 2C_1 e^{2t} - 2C_2 e^{-2t}. Elimination gives the same result: differentiate the first equation to get x′′=4xx'' = 4x.


Laplace Transforms

L{f(t)}=F(s)=∫0∞e−stf(t) dt\mathcal{L}\{f(t)\} = F(s) = \int_0^\infty e^{-st} f(t)\,dt

f(t)f(t)F(s)F(s)
111/s1/s
tnt^nn!/sn+1n!/s^{n+1}
eate^{at}1/(s−a)1/(s - a)
sin⁡bt\sin btb/(s2+b2)b/(s^2 + b^2)
cos⁡bt\cos bts/(s2+b2)s/(s^2 + b^2)
f′(t)f'(t)sF(s)−f(0)sF(s) - f(0)
f′′(t)f''(t)s2F(s)−sf(0)−f′(0)s^2F(s) - sf(0) - f'(0)
eatf(t)e^{at}f(t) (shift)F(s−a)F(s - a)

Solving an initial-value problem. For y′+2y=4y' + 2y = 4 with y(0)=0y(0) = 0, transforming term by term gives sY+2Y=4/ssY + 2Y = 4/s. So Y=4s(s+2)=2s−2s+2Y = \dfrac{4}{s(s+2)} = \dfrac{2}{s} - \dfrac{2}{s+2} by partial fractions, and the inverse transform is y=2−2e−2ty = 2 - 2e^{-2t}.

Tip

On board problems, check a Laplace answer by substituting t=0t = 0 (it must match the initial condition) and t→∞t \to \infty (final-value behavior).

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Choosing a Method for Calculus and Differential Equation Items
Test Your Knowledge

What is the Laplace-transform solution of y' + 3y = 6 with y(0) = 0?

A

y = 2 - 2e^(-3t)

B

y = 2 + 2e^(-3t)

C

y = 6 - 6e^(-3t)

D

y = 2e^(-3t)

Test Your Knowledge

A rectangle measures x = 4.00 m and y = 2.50 m, each with a possible error of ±0.02 m. Using the total differential, what is the maximum possible error in the computed area?

A

0.20 m²

B

0.04 m²

C

0.13 m²

D

0.08 m²

Test Your Knowledge

A full cylindrical water tank 1.5 m in radius and 4.0 m deep is emptied by pumping all the water over its top rim. How much work is required (γ = 9.81 kN/m³)?

A

555 kJ

B

2,219 kJ

C

1,110 kJ

D

277 kJ

Sections you finish are checked off in the contents.