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1.4 Calculus
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1. Mathematics

Calculus

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This chapter covers the following topics:

  • The derivative
  • L’Hospital’s rule (L’Hôpital’s rule)
  • Test for a maximum and minimum
  • Point of inflection
  • Curvature and radius of curvature
  • Differentiation rules
  • Integral calculus
  • Indefinite integrals
  • Differential equations

The derivative

The derivative of a function describes how the function’s output changes as its input changes. In other words, it measures the function’s instantaneous rate of change.

For a function f(x), the derivative is defined by the limit:

f′(x)=h→0lim​hf(x+h)−f(x)​

L’Hospital’s rule (L’Hôpital’s rule)

L’Hospital’s Rule helps you evaluate limits that produce indeterminate forms such as 00​ or ∞∞​. The idea is to differentiate the numerator and denominator separately.

If

x→alim​g(x)f(x)​

is indeterminate, then:

x→alim​g(x)f(x)​=x→alim​g′(x)f′(x)​

provided the right-hand limit exists.

Example: evaluating a limit with L’Hospital’s rule

Evaluate limx→0​xsinx​.

Direct substitution gives 00​, an indeterminate form, so L’Hospital’s rule applies. Differentiate the numerator and denominator separately, then substitute again:

x→0lim​xsinx​=x→0lim​1cosx​=cos(0)=1

Answer: 1

Test for a maximum and minimum

To decide whether a function f(x) has a local maximum or local minimum at a critical point x=c, you can use the second derivative test.

  • If f′′(c)>0, then f(c) is a local minimum.
  • If f′′(c)<0, then f(c) is a local maximum.

A critical point is where f′(x)=0 (or where f′(x) does not exist), and the test is inconclusive when f′′(c)=0. On a closed interval [a,b], the absolute maximum or minimum can also fall at an endpoint, so evaluate f at every critical point inside the interval and at both endpoints, then compare.

Point of inflection

A point of inflection is a point where the curve changes concavity (the curvature changes direction). In terms of derivatives, this happens when the second derivative changes sign.

A common condition to check is:

dx2d2y​=0

But this condition alone isn’t sufficient - you also need to confirm that dx2d2y​ actually changes sign around that point. If it doesn’t, the point isn’t a true inflection point even though the second derivative is zero there.

Curvature and radius of curvature

Curvature (κ) measures how sharply a curve bends at a point. One way to define curvature is:

κ=dsdθ​=[1+(y′)2]3/2∣y′′∣​

where θ is the angle of the tangent and s is the arc length.

The radius of curvature (R) is the reciprocal of curvature:

R=∣κ∣1​

It represents the radius of the circular arc that best approximates the curve at that point.

Example: radius of curvature

Find the radius of curvature of y=x2 at x=1.

First find the derivatives: y′=2x, so y′(1)=2, and y′′=2.

Substitute into the curvature formula:

κ=[1+(2)2]3/2∣2∣​=53/22​≈11.182​≈0.179

The radius of curvature is the reciprocal:

R=0.1791​≈5.59

Answer: R≈5.59

Derivatives

In these formulas, u,v,w represent functions of x. Also, a,c, and n represent constants. These tables mirror the FE Reference Handbook’s Mathematics section, so the exam skill to build is locating and applying the right entry quickly, not memorizing the whole list.

Exam tip: All trigonometric arguments are in radians, not degrees, and remember to add a constant of integration, C, to indefinite integrals. Also carry full calculator precision through each intermediate step rather than rounding early - small rounding errors compound quickly across multi-step derivative and integral problems.

The following definitions are used:

arcsinu=sin−1u,(sinu)−1=sinu1​

Basic differentiation rules

dxd​c=0

dxd​x=1

dxd​(cu)=cdxdu​

dxd​(u+v−w)=dxdu​+dxdv​−dxdw​

dxd​(uv)=udxdv​+vdxdu​

dxd​(uvw)=uvdxdw​+uwdxdv​+vwdxdu​

dxd​(vu​)=v2vdxdu​−udxdv​​

Power and logarithmic differentiation

dxd​(un)=nun−1dxdu​

dxd​(f(u))=f′(u)dxdu​

dxdu​=dx/du1​

dxd​(loga​u)=(loga​e)u1​dxdu​

dxd​(lnu)=u1​dxdu​

dxd​(au)=(lna)audxdu​

Exponential and trigonometric differentiation

dxd​(eu)=eudxdu​

dxd​(uv)=vuv−1dxdu​+uv(lnu)dxdv​

With v=u, this gives dxd​(uu)=uu(1+lnu)dxdu​.

dxd​(sinu)=cosudxdu​

dxd​(cosu)=−sinudxdu​

dxd​(tanu)=sec2udxdu​

dxd​(cotu)=−csc2udxdu​

dxd​(secu)=secutanudxdu​

dxd​(cscu)=−cscucotudxdu​

Inverse trigonometric differentiation

dxd​(sin−1u)=1−u2​1​dxdu​,(−π/2≤sin−1u≤π/2)

dxd​(cos−1u)=1−u2​−1​dxdu​,(0≤cos−1u≤π)

dxd​(tan−1u)=1+u21​dxdu​,(−π/2<tan−1u<π/2)

dxd​(cot−1u)=1+u2−1​dxdu​,(0<cot−1u<π)

dxd​(sec−1u)=∣u∣u2−1​1​dxdu​,(0<sec−1u<π/2)∪(−π<sec−1u<−π/2)

dxd​(csc−1u)=∣u∣u2−1​−1​dxdu​,(0<csc−1u≤π/2)∪(−π<csc−1u≤−π/2)

Example: logarithmic differentiation of y=(2x)x

Take the natural log of both sides: lny=xln(2x).

Differentiate both sides with respect to x, applying the product rule on the right side:

y1​dxdy​=ln(2x)+x⋅x1​=ln(2x)+1

Multiply both sides by y=(2x)x to isolate dxdy​:

dxdy​=(2x)x[ln(2x)+1]

Answer: dxdy​=(2x)x[ln(2x)+1]

Integral calculus

Integral calculus focuses on accumulation. It’s used to compute quantities like area under a curve, volume, and total change.

An indefinite integral represents a family of antiderivatives. For a function f(x):

∫f(x)dx=F(x)+C

where F(x) is an antiderivative of f(x), and C is the constant of integration.

Example: area between two curves

Find the area of the region bounded by y=x and y=x2 between their intersection points.

The curves intersect where x=x2, so x=0 and x=1. On [0,1], y=x lies above y=x2, so the area between them is the definite integral of their difference:

A=∫01​(x−x2)dx=[2x2​−3x3​]01​=21​−31​=61​

Answer: 61​

Indefinite integrals

Basic integration rules

∫f′(x)dx=f(x)

∫dx=x

∫af(x)dx=a∫f(x)dx

∫[u(x)+v(x)]dx=∫u(x)dx+∫v(x)dx

∫xmdx=m+1xm+1​,(m=−1)

∫u(x)dv(x)=u(x)v(x)−∫v(x)du(x)

Example: integration by parts

Find ∫xsinxdx.

Choose u=x, which gets simpler when differentiated, and dv=sinxdx, so du=dx and v=−cosx. Rule 6 gives:

∫xsinxdx=−xcosx−∫(−cosx)dx=−xcosx+sinx

Answer: −xcosx+sinx (plus a constant), which is entry 14 below. Choosing u=sinx and dv=xdx instead leaves ∫2x2​cosxdx, a harder integral than the one you started with - the sign that u and dv are the wrong way round.

Logarithmic and exponential integrals

∫ax+bdx​=a1​ln∣ax+b∣

∫x​dx​=2x​

∫axdx=lnaax​

Trigonometric integrals

∫sinxdx=−cosx

∫cosxdx=sinx

∫sin2xdx=2x​−4sin2x​

∫cos2xdx=2x​+4sin2x​

∫xsinxdx=−xcosx+sinx

∫xcosxdx=cosx+xsinx

∫sinxcosxdx=(sin2x)/2

∫sinaxcosbxdx=−2(a+b)cos(a+b)x​−2(a−b)cos(a−b)x​,(a2=b2)

Logarithmic and hyperbolic integrals

∫tanxdx=ln∣cosx∣=ln∣secx∣

∫cotxdx=ln∣sinx∣

∫tan2xdx=tanx−x

∫cot2xdx=−cotx−x

∫exdx=ex

∫eaxdx=a1​eax

∫lnxdx=x(lnx−1)

∫x2+a2dx​=a1​tan−1ax​,(a>0)

Rational integrals

∫ax2+cdx​=ac​1​tan−1(ca​​x),(a>0,c>0)

∫ax2+bx+cdx​=4ac−b2​2​tan−14ac−b2​2ax+b​,(4ac−b2>0)

∫ax2+bx+cdx​=b2−4ac​1​ln​2ax+b+b2−4ac​2ax+b−b2−4ac​​​,(b2−4ac>0)

∫ax2+bx+cdx​=−2ax+b2​,(b2−4ac=0)

Differential equations

Ordinary linear differential equations

A common class of ordinary linear differential equations has the form:

bn​dxndny​+bn−1​dxn−1dn−1y​+⋯+b1​dxdy​+b0​y=f(x)

where

b0​,b1​,…,bn​

are constants.

Homogeneous solution

When the equation is homogeneous (i.e., f(x)=0), the solution is:

y(x)=C1​er1​x+C2​er2​x+⋯+Cn​ern​x

where ri​ is a distinct root of the characteristic polynomial P(r) with:

P(r)=bn​rn+bn−1​rn−1+⋯+b1​r+b0​

Higher orders of multiplicity imply higher powers of x. The complete solution for the differential equation is:

y(x)=yh​(x)+yp​(x),

where yh​(x) is the general solution for the homogeneous equation, and yp​(x) is any particular solution for f(x).

Furthermore, specific f(x) forms result in specific yp​(x) forms, some of which are:

  • If f(x)=A then yp​(x)=B
  • If f(x)=Aeλx then yp​(x)=Beλx
  • If f(x)=Axmeλx then yp​(x)=Pm​(x)eλx, where Pm​(x) is a polynomial of degree m.

First-order linear homogeneous differential equations with constant coefficients

dtdy​+ay=0

where a is a real constant. The solution is:

y=Ce−at

where C is a constant that satisfies the initial conditions.

First-order linear nonhomogeneous differential equations

τdtdy​+y=Kx(t)

where τ is the time constant, K is the gain, and x(t)=A is a constant forcing input. With initial condition y(0)=y0​, the solution is:

y(t)=KA+(y0​−KA)e−t/τ

Dividing through by τ puts the equation in the form dtdy​+ay=aKx(t), so τ=a1​ is the time constant.

Second-order linear homogeneous differential equations with constant coefficients

An equation of the form:

y′′+ay′+by=0

can be solved by assuming a trial exponential solution:

y=Cert

By substitution, the characteristic equation is:

r2+ar+b=0

The roots of the characteristic equation are:

r1,2​=2−a±a2−4b​​

The nature of the solution depends on the discriminant Δ=a2−4b:

  • If Δ>0, the solution is in the form of real distinct roots:

    y=C1​er1​t+C2​er2​t

  • If Δ=0, the solution is in the form of repeated roots:

    y=(C1​+C2​t)ert

  • If Δ<0, the solution is in the form of complex conjugate roots:

    Given:

    r=α±iβ

    The solution is:

    y=eαt(C1​cosβt+C2​sinβt)

where:

α=−2a​,β=24b−a2​​

Example: solving a second-order homogeneous ODE

Solve y′′−3y′+2y=0.

The characteristic equation is r2−3r+2=0, which factors as (r−1)(r−2)=0, giving roots r1​=1 and r2​=2. Since the roots are real and distinct, the general solution is:

y=C1​et+C2​e2t

Answer: y=C1​et+C2​e2t

The derivative

  • Measures instantaneous rate of change of a function
  • Defined as f′(x)=limh→0​hf(x+h)−f(x)​

L’Hospital’s Rule (L’Hôpital’s Rule)

  • Used for limits with indeterminate forms (0/0, ∞/∞)
  • Differentiate numerator and denominator: limx→a​g(x)f(x)​=limx→a​g′(x)f′(x)​

Test for a Maximum and Minimum

  • Use second derivative test at critical point x=c
    • f′′(c)>0: local minimum
    • f′′(c)<0: local maximum

Point of Inflection

  • Where curve changes concavity (second derivative changes sign)
  • Condition: dx2d2y​=0 with sign change around the point

Curvature and Radius of Curvature

  • Curvature: κ=[1+(y′)2]3/2∣y′′∣​
  • Radius of curvature: R=∣κ∣1​

Partial Derivative

  • Derivative of multivariable function with respect to one variable
  • Example: ∂x∂f​ for f(x,y)

Derivatives

  • Basic rules: sum, product, quotient, chain rule
  • Power, exponential, logarithmic, and trigonometric differentiation formulas
  • Inverse trigonometric differentiation formulas
    • E.g., dxd​(sin−1u)=1−u2​1​dxdu​

Integral Calculus

  • Concerned with accumulation (area, volume, total change)
  • Indefinite integral: ∫f(x)dx=F(x)+C

Indefinite Integrals

  • Basic integration rules: linearity, power rule, integration by parts
  • Common integrals for exponential, logarithmic, trigonometric, and rational functions
  • Special forms for integrals involving quadratics and trigonometric functions

Differential Equations

  • Ordinary linear differential equations: bn​y(n)+⋯+b0​y=f(t)
  • Homogeneous solution: sum of exponentials with roots of characteristic polynomial
  • Nonhomogeneous solution: y(x)=yh​(x)+yp​(x)
  • First-order linear (homogeneous): y=Ce−at
  • Second-order linear: solution form depends on discriminant (Δ)
    • Real, repeated, or complex roots yield different solution structures

Fourier Transform

  • Converts time-domain signal to frequency domain
  • Forward: X(f)=∫−∞∞​x(t)e−j2πftdt
  • Inverse: x(t)=∫−∞∞​X(f)ej2πftdf

Laplace Transforms

  • Converts time-domain function f(t) to F(s) in complex s-domain
  • Forward: F(s)=∫0∞​f(t)e−stdt
  • Inverse: f(t)=2πj1​∫σ−j∞σ+j∞​F(s)estds
  • Used for solving differential equations and system analysis

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Calculus

This chapter covers the following topics:

  • The derivative
  • L’Hospital’s rule (L’Hôpital’s rule)
  • Test for a maximum and minimum
  • Point of inflection
  • Curvature and radius of curvature
  • Differentiation rules
  • Integral calculus
  • Indefinite integrals
  • Differential equations

The derivative

The derivative of a function describes how the function’s output changes as its input changes. In other words, it measures the function’s instantaneous rate of change.

For a function f(x), the derivative is defined by the limit:

f′(x)=h→0lim​hf(x+h)−f(x)​

L’Hospital’s rule (L’Hôpital’s rule)

L’Hospital’s Rule helps you evaluate limits that produce indeterminate forms such as 00​ or ∞∞​. The idea is to differentiate the numerator and denominator separately.

If

x→alim​g(x)f(x)​

is indeterminate, then:

x→alim​g(x)f(x)​=x→alim​g′(x)f′(x)​

provided the right-hand limit exists.

Example: evaluating a limit with L’Hospital’s rule

Evaluate limx→0​xsinx​.

Direct substitution gives 00​, an indeterminate form, so L’Hospital’s rule applies. Differentiate the numerator and denominator separately, then substitute again:

x→0lim​xsinx​=x→0lim​1cosx​=cos(0)=1

Answer: 1

Test for a maximum and minimum

To decide whether a function f(x) has a local maximum or local minimum at a critical point x=c, you can use the second derivative test.

  • If f′′(c)>0, then f(c) is a local minimum.
  • If f′′(c)<0, then f(c) is a local maximum.

A critical point is where f′(x)=0 (or where f′(x) does not exist), and the test is inconclusive when f′′(c)=0. On a closed interval [a,b], the absolute maximum or minimum can also fall at an endpoint, so evaluate f at every critical point inside the interval and at both endpoints, then compare.

Point of inflection

A point of inflection is a point where the curve changes concavity (the curvature changes direction). In terms of derivatives, this happens when the second derivative changes sign.

A common condition to check is:

dx2d2y​=0

But this condition alone isn’t sufficient - you also need to confirm that dx2d2y​ actually changes sign around that point. If it doesn’t, the point isn’t a true inflection point even though the second derivative is zero there.

Curvature and radius of curvature

Curvature (κ) measures how sharply a curve bends at a point. One way to define curvature is:

κ=dsdθ​=[1+(y′)2]3/2∣y′′∣​

where θ is the angle of the tangent and s is the arc length.

The radius of curvature (R) is the reciprocal of curvature:

R=∣κ∣1​

It represents the radius of the circular arc that best approximates the curve at that point.

Example: radius of curvature

Find the radius of curvature of y=x2 at x=1.

First find the derivatives: y′=2x, so y′(1)=2, and y′′=2.

Substitute into the curvature formula:

κ=[1+(2)2]3/2∣2∣​=53/22​≈11.182​≈0.179

The radius of curvature is the reciprocal:

R=0.1791​≈5.59

Answer: R≈5.59

Derivatives

In these formulas, u,v,w represent functions of x. Also, a,c, and n represent constants. These tables mirror the FE Reference Handbook’s Mathematics section, so the exam skill to build is locating and applying the right entry quickly, not memorizing the whole list.

Exam tip: All trigonometric arguments are in radians, not degrees, and remember to add a constant of integration, C, to indefinite integrals. Also carry full calculator precision through each intermediate step rather than rounding early - small rounding errors compound quickly across multi-step derivative and integral problems.

The following definitions are used:

arcsinu=sin−1u,(sinu)−1=sinu1​

Basic differentiation rules

dxd​c=0

dxd​x=1

dxd​(cu)=cdxdu​

dxd​(u+v−w)=dxdu​+dxdv​−dxdw​

dxd​(uv)=udxdv​+vdxdu​

dxd​(uvw)=uvdxdw​+uwdxdv​+vwdxdu​

dxd​(vu​)=v2vdxdu​−udxdv​​

Power and logarithmic differentiation

dxd​(un)=nun−1dxdu​

dxd​(f(u))=f′(u)dxdu​

dxdu​=dx/du1​

dxd​(loga​u)=(loga​e)u1​dxdu​

dxd​(lnu)=u1​dxdu​

dxd​(au)=(lna)audxdu​

Exponential and trigonometric differentiation

dxd​(eu)=eudxdu​

dxd​(uv)=vuv−1dxdu​+uv(lnu)dxdv​

With v=u, this gives dxd​(uu)=uu(1+lnu)dxdu​.

dxd​(sinu)=cosudxdu​

dxd​(cosu)=−sinudxdu​

dxd​(tanu)=sec2udxdu​

dxd​(cotu)=−csc2udxdu​

dxd​(secu)=secutanudxdu​

dxd​(cscu)=−cscucotudxdu​

Inverse trigonometric differentiation

dxd​(sin−1u)=1−u2​1​dxdu​,(−π/2≤sin−1u≤π/2)

dxd​(cos−1u)=1−u2​−1​dxdu​,(0≤cos−1u≤π)

dxd​(tan−1u)=1+u21​dxdu​,(−π/2<tan−1u<π/2)

dxd​(cot−1u)=1+u2−1​dxdu​,(0<cot−1u<π)

dxd​(sec−1u)=∣u∣u2−1​1​dxdu​,(0<sec−1u<π/2)∪(−π<sec−1u<−π/2)

dxd​(csc−1u)=∣u∣u2−1​−1​dxdu​,(0<csc−1u≤π/2)∪(−π<csc−1u≤−π/2)

Example: logarithmic differentiation of y=(2x)x

Take the natural log of both sides: lny=xln(2x).

Differentiate both sides with respect to x, applying the product rule on the right side:

y1​dxdy​=ln(2x)+x⋅x1​=ln(2x)+1

Multiply both sides by y=(2x)x to isolate dxdy​:

dxdy​=(2x)x[ln(2x)+1]

Answer: dxdy​=(2x)x[ln(2x)+1]

Integral calculus

Integral calculus focuses on accumulation. It’s used to compute quantities like area under a curve, volume, and total change.

An indefinite integral represents a family of antiderivatives. For a function f(x):

∫f(x)dx=F(x)+C

where F(x) is an antiderivative of f(x), and C is the constant of integration.

Example: area between two curves

Find the area of the region bounded by y=x and y=x2 between their intersection points.

The curves intersect where x=x2, so x=0 and x=1. On [0,1], y=x lies above y=x2, so the area between them is the definite integral of their difference:

A=∫01​(x−x2)dx=[2x2​−3x3​]01​=21​−31​=61​

Answer: 61​

Indefinite integrals

Basic integration rules

∫f′(x)dx=f(x)

∫dx=x

∫af(x)dx=a∫f(x)dx

∫[u(x)+v(x)]dx=∫u(x)dx+∫v(x)dx

∫xmdx=m+1xm+1​,(m=−1)

∫u(x)dv(x)=u(x)v(x)−∫v(x)du(x)

Example: integration by parts

Find ∫xsinxdx.

Choose u=x, which gets simpler when differentiated, and dv=sinxdx, so du=dx and v=−cosx. Rule 6 gives:

∫xsinxdx=−xcosx−∫(−cosx)dx=−xcosx+sinx

Answer: −xcosx+sinx (plus a constant), which is entry 14 below. Choosing u=sinx and dv=xdx instead leaves ∫2x2​cosxdx, a harder integral than the one you started with - the sign that u and dv are the wrong way round.

Logarithmic and exponential integrals

∫ax+bdx​=a1​ln∣ax+b∣

∫x​dx​=2x​

∫axdx=lnaax​

Trigonometric integrals

∫sinxdx=−cosx

∫cosxdx=sinx

∫sin2xdx=2x​−4sin2x​

∫cos2xdx=2x​+4sin2x​

∫xsinxdx=−xcosx+sinx

∫xcosxdx=cosx+xsinx

∫sinxcosxdx=(sin2x)/2

∫sinaxcosbxdx=−2(a+b)cos(a+b)x​−2(a−b)cos(a−b)x​,(a2=b2)

Logarithmic and hyperbolic integrals

∫tanxdx=ln∣cosx∣=ln∣secx∣

∫cotxdx=ln∣sinx∣

∫tan2xdx=tanx−x

∫cot2xdx=−cotx−x

∫exdx=ex

∫eaxdx=a1​eax

∫lnxdx=x(lnx−1)

∫x2+a2dx​=a1​tan−1ax​,(a>0)

Rational integrals

∫ax2+cdx​=ac​1​tan−1(ca​​x),(a>0,c>0)

∫ax2+bx+cdx​=4ac−b2​2​tan−14ac−b2​2ax+b​,(4ac−b2>0)

∫ax2+bx+cdx​=b2−4ac​1​ln​2ax+b+b2−4ac​2ax+b−b2−4ac​​​,(b2−4ac>0)

∫ax2+bx+cdx​=−2ax+b2​,(b2−4ac=0)

Differential equations

Ordinary linear differential equations

A common class of ordinary linear differential equations has the form:

bn​dxndny​+bn−1​dxn−1dn−1y​+⋯+b1​dxdy​+b0​y=f(x)

where

b0​,b1​,…,bn​

are constants.

Homogeneous solution

When the equation is homogeneous (i.e., f(x)=0), the solution is:

y(x)=C1​er1​x+C2​er2​x+⋯+Cn​ern​x

where ri​ is a distinct root of the characteristic polynomial P(r) with:

P(r)=bn​rn+bn−1​rn−1+⋯+b1​r+b0​

Higher orders of multiplicity imply higher powers of x. The complete solution for the differential equation is:

y(x)=yh​(x)+yp​(x),

where yh​(x) is the general solution for the homogeneous equation, and yp​(x) is any particular solution for f(x).

Furthermore, specific f(x) forms result in specific yp​(x) forms, some of which are:

  • If f(x)=A then yp​(x)=B
  • If f(x)=Aeλx then yp​(x)=Beλx
  • If f(x)=Axmeλx then yp​(x)=Pm​(x)eλx, where Pm​(x) is a polynomial of degree m.

First-order linear homogeneous differential equations with constant coefficients

dtdy​+ay=0

where a is a real constant. The solution is:

y=Ce−at

where C is a constant that satisfies the initial conditions.

First-order linear nonhomogeneous differential equations

τdtdy​+y=Kx(t)

where τ is the time constant, K is the gain, and x(t)=A is a constant forcing input. With initial condition y(0)=y0​, the solution is:

y(t)=KA+(y0​−KA)e−t/τ

Dividing through by τ puts the equation in the form dtdy​+ay=aKx(t), so τ=a1​ is the time constant.

Second-order linear homogeneous differential equations with constant coefficients

An equation of the form:

y′′+ay′+by=0

can be solved by assuming a trial exponential solution:

y=Cert

By substitution, the characteristic equation is:

r2+ar+b=0

The roots of the characteristic equation are:

r1,2​=2−a±a2−4b​​

The nature of the solution depends on the discriminant Δ=a2−4b:

  • If Δ>0, the solution is in the form of real distinct roots:

    y=C1​er1​t+C2​er2​t

  • If Δ=0, the solution is in the form of repeated roots:

    y=(C1​+C2​t)ert

  • If Δ<0, the solution is in the form of complex conjugate roots:

    Given:

    r=α±iβ

    The solution is:

    y=eαt(C1​cosβt+C2​sinβt)

where:

α=−2a​,β=24b−a2​​

Example: solving a second-order homogeneous ODE

Solve y′′−3y′+2y=0.

The characteristic equation is r2−3r+2=0, which factors as (r−1)(r−2)=0, giving roots r1​=1 and r2​=2. Since the roots are real and distinct, the general solution is:

y=C1​et+C2​e2t

Answer: y=C1​et+C2​e2t

Key points

The derivative

  • Measures instantaneous rate of change of a function
  • Defined as f′(x)=limh→0​hf(x+h)−f(x)​

L’Hospital’s Rule (L’Hôpital’s Rule)

  • Used for limits with indeterminate forms (0/0, ∞/∞)
  • Differentiate numerator and denominator: limx→a​g(x)f(x)​=limx→a​g′(x)f′(x)​

Test for a Maximum and Minimum

  • Use second derivative test at critical point x=c
    • f′′(c)>0: local minimum
    • f′′(c)<0: local maximum

Point of Inflection

  • Where curve changes concavity (second derivative changes sign)
  • Condition: dx2d2y​=0 with sign change around the point

Curvature and Radius of Curvature

  • Curvature: κ=[1+(y′)2]3/2∣y′′∣​
  • Radius of curvature: R=∣κ∣1​

Partial Derivative

  • Derivative of multivariable function with respect to one variable
  • Example: ∂x∂f​ for f(x,y)

Derivatives

  • Basic rules: sum, product, quotient, chain rule
  • Power, exponential, logarithmic, and trigonometric differentiation formulas
  • Inverse trigonometric differentiation formulas
    • E.g., dxd​(sin−1u)=1−u2​1​dxdu​

Integral Calculus

  • Concerned with accumulation (area, volume, total change)
  • Indefinite integral: ∫f(x)dx=F(x)+C

Indefinite Integrals

  • Basic integration rules: linearity, power rule, integration by parts
  • Common integrals for exponential, logarithmic, trigonometric, and rational functions
  • Special forms for integrals involving quadratics and trigonometric functions

Differential Equations

  • Ordinary linear differential equations: bn​y(n)+⋯+b0​y=f(t)
  • Homogeneous solution: sum of exponentials with roots of characteristic polynomial
  • Nonhomogeneous solution: y(x)=yh​(x)+yp​(x)
  • First-order linear (homogeneous): y=Ce−at
  • Second-order linear: solution form depends on discriminant (Δ)
    • Real, repeated, or complex roots yield different solution structures

Fourier Transform

  • Converts time-domain signal to frequency domain
  • Forward: X(f)=∫−∞∞​x(t)e−j2πftdt
  • Inverse: x(t)=∫−∞∞​X(f)ej2πftdf

Laplace Transforms

  • Converts time-domain function f(t) to F(s) in complex s-domain
  • Forward: F(s)=∫0∞​f(t)e−stdt
  • Inverse: f(t)=2πj1​∫σ−j∞σ+j∞​F(s)estds
  • Used for solving differential equations and system analysis

More from Mathematics

  • Coordinate geometry
  • Geometric feature and trigonometry
  • Algebra
  • Matrices and Vectors