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Calculus IIthe reference sheet

Every topic in the course, boiled down to its rule, its formula, and one worked example. For review and quick lookups, not for learning a topic the first time.

5 units, 29 sections, 160 topics. Press / to search.

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Unit 1 41 topics

Integration Techniques

Integration Using Substitution, Special Techniques for Integration, Integration Using Trigonometric Identities, and more.

1.1 Integration Using Substitution

  1. 1.1.1

    Integrating Algebraic Functions Using Substitution

    Let uu be the inner expression whose derivative also appears as a factor. Rewrite everything in uu, integrate, then substitute back.

    e.g. ∫2x(x2+1)3 dx\int 2x(x^2+1)^3\,dx: u=x2+1u = x^2+1 gives 14(x2+1)4+C\tfrac14(x^2+1)^4 + C

    ∫f(g(x)) g′(x) dx\displaystyle \int f(g(x))\,g'(x)\,dx
    =∫f(u) du,u=g(x)\displaystyle = \int f(u)\,du, \quad u = g(x)
  2. 1.1.2

    Integrating Linear Rational Functions Using Substitution

    For a fraction with a linear denominator, let u=ax+bu = ax + b, so dx=1a dudx = \tfrac1a\,du. If the numerator is also linear, write it in terms of uu and split the fraction.

    e.g. ∫32x+1 dx=32ln⁡∣2x+1∣+C\int \frac{3}{2x+1}\,dx = \tfrac32 \ln\lvert 2x+1\rvert + C

    ∫1ax+b dx\displaystyle \int \frac{1}{ax+b}\,dx
    =1aln⁡∣ax+b∣+C\displaystyle = \frac1a \ln\lvert ax+b\rvert + C
  3. 1.1.3

    Integration Using Substitution

    Choose uu, find dudu, and rewrite the whole integrand in uu with no xx left. A missing constant factor can be fixed by multiplying and dividing. Always substitute back at the end.

    e.g. ∫xx2+4 dx\int x\sqrt{x^2+4}\,dx: u=x2+4u = x^2+4, du=2x dxdu = 2x\,dx, so 12∫u1/2 du=13(x2+4)3/2+C\tfrac12\int u^{1/2}\,du = \tfrac13(x^2+4)^{3/2} + C

    u=g(x)\displaystyle u = g(x)
    du=g′(x) dx\displaystyle du = g'(x)\,dx
  4. 1.1.4

    Calculating Definite Integrals Using Substitution

    Change the limits to uu-values when you substitute. Then evaluate in uu with no need to substitute back.

    e.g. ∫012x(x2+1) dx\int_0^1 2x(x^2+1)\,dx: uu runs from 11 to 22, so ∫12u du=2−12=32\int_1^2 u\,du = 2 - \tfrac12 = \tfrac32

    ∫abf(g(x)) g′(x) dx\displaystyle \int_a^b f(g(x))\,g'(x)\,dx
    =∫g(a)g(b)f(u) du\displaystyle = \int_{g(a)}^{g(b)} f(u)\,du
  5. 1.1.5

    Further Integration of Algebraic Functions Using Substitution

    If an extra xx is left over after substituting, solve u=g(x)u = g(x) for xx and replace it too. Then expand and integrate term by term.

    e.g. ∫xx+1 dx\int x\sqrt{x+1}\,dx: u=x+1u = x+1, x=u−1x = u - 1, so ∫(u3/2−u1/2) du=25(x+1)5/2−23(x+1)3/2+C\int (u^{3/2} - u^{1/2})\,du = \tfrac25 (x+1)^{5/2} - \tfrac23 (x+1)^{3/2} + C

  6. 1.1.6

    Integrating Exponential Functions Using Linear Substitution

    With a linear exponent, integrate as usual and divide by the coefficient of xx.

    e.g. ∫e3x−1 dx=13e3x−1+C\int e^{3x-1}\,dx = \tfrac13 e^{3x-1} + C

    ∫eax+b dx=1aeax+b+C\displaystyle \int e^{ax+b}\,dx = \frac1a e^{ax+b} + C
  7. 1.1.7

    Integrating Exponential Functions Using Substitution

    Let uu be the exponent. The derivative of the exponent must appear as a factor, up to a constant.

    e.g. ∫xex2 dx\int x e^{x^2}\,dx: u=x2u = x^2, du=2x dxdu = 2x\,dx, so the answer is 12ex2+C\tfrac12 e^{x^2} + C

    ∫eg(x) g′(x) dx=eg(x)+C\displaystyle \int e^{g(x)}\,g'(x)\,dx = e^{g(x)} + C
  8. 1.1.8

    Integrating Trigonometric Functions Using Substitution

    Let uu be the angle, or let uu be sin⁡x\sin x or cos⁡x\cos x when its derivative is a factor. Watch the sign: ∫sin⁡u du=−cos⁡u+C\int \sin u\,du = -\cos u + C.

    e.g. ∫sin⁡2xcos⁡x dx\int \sin^2 x\cos x\,dx: u=sin⁡xu = \sin x gives 13sin⁡3x+C\tfrac13\sin^3 x + C

    ∫cos⁡(ax+b) dx\displaystyle \int \cos(ax+b)\,dx
    =1asin⁡(ax+b)+C\displaystyle = \frac1a \sin(ax+b) + C
    ∫sin⁡(ax+b) dx\displaystyle \int \sin(ax+b)\,dx
    =−1acos⁡(ax+b)+C\displaystyle = -\frac1a \cos(ax+b) + C
  9. 1.1.9

    Integrating Logarithmic Functions Using Substitution

    When ln⁡x\ln x appears with a factor of 1x\tfrac1x, let u=ln⁡xu = \ln x. A fraction whose numerator is the derivative of its denominator integrates to a natural log.

    e.g. ∫ln⁡xx dx=12(ln⁡x)2+C\int \frac{\ln x}{x}\,dx = \tfrac12(\ln x)^2 + C

    u=ln⁡x⇒du=1x dx\displaystyle u = \ln x \Rightarrow du = \frac1x\,dx
    ∫g′(x)g(x) dx\displaystyle \int \frac{g'(x)}{g(x)}\,dx
    =ln⁡∣g(x)∣+C\displaystyle = \ln\lvert g(x)\rvert + C
  10. 1.1.10

    Integration by Substitution With Inverse Trigonometric Functions

    Match the integrand to an inverse trig form, using substitution to make the variable part a perfect square. Here a>0a > 0.

    e.g. ∫dx1+4x2\int \frac{dx}{1 + 4x^2}: u=2xu = 2x gives 12arctan⁡(2x)+C\tfrac12\arctan(2x) + C

    ∫dxa2−x2=arcsin⁡xa+C\displaystyle \int \frac{dx}{\sqrt{a^2 - x^2}} = \arcsin\frac{x}{a} + C
    ∫dxa2+x2\displaystyle \int \frac{dx}{a^2 + x^2}
    =1aarctan⁡xa+C\displaystyle = \frac1a \arctan\frac{x}{a} + C
  11. 1.1.11

    Integrating Hyperbolic Functions Using Substitution

    Let uu be the inner function, replace dxdx using dudu, integrate the basic hyperbolic form, then substitute back.

    e.g. ∫xcosh⁡(x2) dx\int x\cosh(x^2)\,dx: u=x2u = x^2, du=2x dxdu = 2x\,dx, so 12sinh⁡(x2)+C\tfrac12 \sinh(x^2) + C

    ∫f(g(x)) g′(x) dx=∫f(u) du\displaystyle \int f(g(x))\,g'(x)\,dx = \int f(u)\,du
    ∫sinh⁡(ax) dx=1acosh⁡(ax)+C\displaystyle \int \sinh(ax)\,dx = \tfrac1a\cosh(ax) + C
    ∫tanh⁡x dx=ln⁡(cosh⁡x)+C\displaystyle \int \tanh x\,dx = \ln(\cosh x) + C
  12. 1.1.12

    Integration by Substitution With Inverse Hyperbolic Functions

    Choose uu so the integrand matches an inverse hyperbolic form in uu, with dudu already present. Here a>0a > 0; the cosh⁡−1\cosh^{-1} form needs u>au > a and the tanh⁡−1\tanh^{-1} form needs ∣u∣<a\lvert u \rvert < a.

    e.g. ∫exe2x+1 dx\int \frac{e^x}{\sqrt{e^{2x} + 1}}\,dx: u=exu = e^x, du=ex dxdu = e^x\,dx, so sinh⁡−1(ex)+C\sinh^{-1}(e^x) + C

    ∫duu2+a2=sinh⁡−1ua+C\displaystyle \int \frac{du}{\sqrt{u^2 + a^2}} = \sinh^{-1}\frac{u}{a} + C
    ∫duu2−a2=cosh⁡−1ua+C\displaystyle \int \frac{du}{\sqrt{u^2 - a^2}} = \cosh^{-1}\frac{u}{a} + C
    ∫dua2−u2=1atanh⁡−1ua+C\displaystyle \int \frac{du}{a^2 - u^2} = \frac1a \tanh^{-1}\frac{u}{a} + C
  13. 1.1.13

    Integration by Substitution With Inverse Reciprocal Hyperbolic Functions

    Choose uu so the integrand becomes duua2∓u2\frac{du}{u\sqrt{a^2 \mp u^2}} or dua2−u2\frac{du}{a^2 - u^2}, then use the matching inverse reciprocal form (stated for u>0u > 0).

    e.g. ∫dxx1+9x2\int \frac{dx}{x\sqrt{1 + 9x^2}}: u=3xu = 3x turns it into ∫duu1+u2\int \frac{du}{u\sqrt{1 + u^2}}, so −csch⁡−1(3x)+C-\operatorname{csch}^{-1}(3x) + C for x>0x > 0

    ∫duua2−u2\displaystyle \int \frac{du}{u\sqrt{a^2 - u^2}}
    =−1asech⁡−1ua+C\displaystyle = -\frac1a \operatorname{sech}^{-1}\frac{u}{a} + C
    ∫duua2+u2\displaystyle \int \frac{du}{u\sqrt{a^2 + u^2}}
    =−1acsch⁡−1ua+C\displaystyle = -\frac1a \operatorname{csch}^{-1}\frac{u}{a} + C

1.2 Special Techniques for Integration

  1. 1.2.1

    Integrating Functions Using Polynomial Division

    If the numerator's degree is at least the denominator's, divide first. Integrate the quotient and the remainder fraction separately.

    e.g. ∫x2+1x+1 dx=∫(x−1+2x+1)dx=x22−x+2ln⁡∣x+1∣+C\int \frac{x^2+1}{x+1}\,dx = \int \left(x - 1 + \tfrac{2}{x+1}\right)dx = \tfrac{x^2}{2} - x + 2\ln\lvert x+1\rvert + C

    N(x)D(x)=Q(x)+R(x)D(x)\displaystyle \frac{N(x)}{D(x)} = Q(x) + \frac{R(x)}{D(x)}
  2. 1.2.2

    Integrating Functions by Completing the Square

    For a quadratic denominator that does not factor, complete the square, then use the arctan form with u=x+b2u = x + \tfrac b2.

    e.g. ∫dxx2+2x+5=∫dx(x+1)2+4=12arctan⁡x+12+C\int \frac{dx}{x^2 + 2x + 5} = \int \frac{dx}{(x+1)^2 + 4} = \tfrac12\arctan\tfrac{x+1}{2} + C

    x2+bx+c\displaystyle x^2 + bx + c
    =(x+b2)2+c−b24\displaystyle = \left(x + \tfrac b2\right)^2 + c - \tfrac{b^2}{4}
    ∫duu2+a2\displaystyle \int \frac{du}{u^2 + a^2}
    =1aarctan⁡ua+C\displaystyle = \frac1a \arctan\frac{u}{a} + C
  3. 1.2.3

    Integration Using Hyperbolic Functions and Completing the Square

    Complete the square in the quadratic, let u=x+hu = x + h, and use the matching inverse hyperbolic form.

    e.g. ∫dxx2+2x+5=∫dx(x+1)2+4=sinh⁡−1x+12+C\int \frac{dx}{\sqrt{x^2 + 2x + 5}} = \int \frac{dx}{\sqrt{(x+1)^2 + 4}} = \sinh^{-1}\tfrac{x+1}{2} + C

    x2+bx+c\displaystyle x^2 + bx + c
    =(x+b2)2+c−b24\displaystyle = \left(x + \tfrac{b}{2}\right)^2 + c - \tfrac{b^2}{4}
  4. 1.2.4

    Integration Using Inverse Reciprocal Hyperbolic Functions and Completing the Square

    Complete the square so the integrand reads duua2∓u2\frac{du}{u\sqrt{a^2 \mp u^2}} or dua2−u2\frac{du}{a^2 - u^2} with u=x+hu = x + h. The factor outside the root must be the same uu.

    e.g. −x2−2x+3=4−(x+1)2-x^2 - 2x + 3 = 4 - (x+1)^2, so ∫dx(x+1)−x2−2x+3=−12sech⁡−1x+12+C\int \frac{dx}{(x+1)\sqrt{-x^2 - 2x + 3}} = -\tfrac12 \operatorname{sech}^{-1}\tfrac{x+1}{2} + C for −1<x<1-1 < x < 1

    ∫duua2−u2\displaystyle \int \frac{du}{u\sqrt{a^2 - u^2}}
    =−1asech⁡−1ua+C\displaystyle = -\frac1a \operatorname{sech}^{-1}\frac{u}{a} + C

1.3 Integration Using Trigonometric Identities

  1. 1.3.1

    Integration Using Basic Trigonometric Identities

    Rewrite the integrand with quotient and reciprocal identities until it matches a known antiderivative.

    e.g. ∫sin⁡xcos⁡2x dx=∫sec⁡xtan⁡x dx=sec⁡x+C\int \frac{\sin x}{\cos^2 x}\,dx = \int \sec x\tan x\,dx = \sec x + C

    tan⁡x=sin⁡xcos⁡x\displaystyle \tan x = \frac{\sin x}{\cos x}
    sec⁡x=1cos⁡x,csc⁡x=1sin⁡x\displaystyle \sec x = \frac{1}{\cos x},\quad \csc x = \frac{1}{\sin x}
  2. 1.3.2

    Integration Using the Pythagorean Identities

    Replace a square you cannot integrate with one you can, or split off one factor so substitution works.

    e.g. ∫tan⁡2x dx=∫(sec⁡2x−1) dx=tan⁡x−x+C\int \tan^2 x\,dx = \int (\sec^2 x - 1)\,dx = \tan x - x + C

    sin⁡2x+cos⁡2x=1\displaystyle \sin^2 x + \cos^2 x = 1
    1+tan⁡2x=sec⁡2x\displaystyle 1 + \tan^2 x = \sec^2 x
  3. 1.3.3

    Integration Using the Double-Angle Formulas

    To integrate sin⁡2x\sin^2 x or cos⁡2x\cos^2 x, lower the power with these identities first.

    e.g. ∫sin⁡2x dx=x2−sin⁡2x4+C\int \sin^2 x\,dx = \tfrac{x}{2} - \tfrac{\sin 2x}{4} + C

    sin⁡2x=1−cos⁡2x2\displaystyle \sin^2 x = \frac{1 - \cos 2x}{2}
    cos⁡2x=1+cos⁡2x2\displaystyle \cos^2 x = \frac{1 + \cos 2x}{2}
    sin⁡xcos⁡x=12sin⁡2x\displaystyle \sin x\cos x = \frac12 \sin 2x
  4. 1.3.4

    Integrating Products of Trigonometric Functions

    For sin⁡mxcos⁡nx\sin mx\cos nx, sin⁡mxsin⁡nx\sin mx\sin nx, or cos⁡mxcos⁡nx\cos mx\cos nx with m≠nm \ne n, rewrite the product as a sum, then integrate each term.

    e.g. ∫sin⁡3xcos⁡x dx=12∫(sin⁡2x+sin⁡4x) dx=−14cos⁡2x−18cos⁡4x+C\int \sin 3x\cos x\,dx = \tfrac12\int(\sin 2x + \sin 4x)\,dx = -\tfrac14\cos 2x - \tfrac18\cos 4x + C

    sin⁡Acos⁡B\displaystyle \sin A\cos B
    =12[sin⁡(A−B)+sin⁡(A+B)]\displaystyle = \tfrac12[\sin(A-B) + \sin(A+B)]
    sin⁡Asin⁡B\displaystyle \sin A\sin B
    =12[cos⁡(A−B)−cos⁡(A+B)]\displaystyle = \tfrac12[\cos(A-B) - \cos(A+B)]
    cos⁡Acos⁡B\displaystyle \cos A\cos B
    =12[cos⁡(A−B)+cos⁡(A+B)]\displaystyle = \tfrac12[\cos(A-B) + \cos(A+B)]

1.4 Integration Using Hyperbolic Identities

  1. 1.4.1

    Integration Using Basic Hyperbolic Identities

    Rewrite the integrand with the exponential definitions or quotient identities, simplify, then integrate.

    e.g. ∫exsinh⁡x dx=∫e2x−12 dx=14e2x−12x+C\int e^x\sinh x\,dx = \int \tfrac{e^{2x} - 1}{2}\,dx = \tfrac14 e^{2x} - \tfrac12 x + C

    sinh⁡x=ex−e−x2\displaystyle \sinh x = \frac{e^x - e^{-x}}{2}
    cosh⁡x=ex+e−x2\displaystyle \cosh x = \frac{e^x + e^{-x}}{2}
    cosh⁡x+sinh⁡x=ex\displaystyle \cosh x + \sinh x = e^x
    tanh⁡x=sinh⁡xcosh⁡x\displaystyle \tanh x = \frac{\sinh x}{\cosh x}
  2. 1.4.2

    Integration Using the Hyperbolic Pythagorean Identities

    Swap a squared hyperbolic function for an equivalent form you can integrate. Note the signs differ from the trig versions.

    e.g. ∫tanh⁡2x dx=∫(1−sech⁡2x) dx=x−tanh⁡x+C\int \tanh^2 x\,dx = \int (1 - \operatorname{sech}^2 x)\,dx = x - \tanh x + C

    cosh⁡2x−sinh⁡2x=1\displaystyle \cosh^2 x - \sinh^2 x = 1
    1−tanh⁡2x=sech⁡2x\displaystyle 1 - \tanh^2 x = \operatorname{sech}^2 x
    coth⁡2x−1=csch⁡2x\displaystyle \coth^2 x - 1 = \operatorname{csch}^2 x
  3. 1.4.3

    Integration Using the Hyperbolic Double-Angle Formulas

    Lower the power of sinh⁡2x\sinh^2 x or cosh⁡2x\cosh^2 x with the double-angle formulas, then integrate.

    e.g. ∫sinh⁡2x dx=∫cosh⁡2x−12 dx=14sinh⁡2x−12x+C\int \sinh^2 x\,dx = \int \tfrac{\cosh 2x - 1}{2}\,dx = \tfrac14\sinh 2x - \tfrac12 x + C

    sinh⁡2x=2sinh⁡xcosh⁡x\displaystyle \sinh 2x = 2\sinh x\cosh x
    cosh⁡2x=cosh⁡2x+sinh⁡2x\displaystyle \cosh 2x = \cosh^2 x + \sinh^2 x
    sinh⁡2x=cosh⁡2x−12\displaystyle \sinh^2 x = \frac{\cosh 2x - 1}{2}
    cosh⁡2x=cosh⁡2x+12\displaystyle \cosh^2 x = \frac{\cosh 2x + 1}{2}

1.5 Integration by Parts

  1. 1.5.1

    Introduction to Integration by Parts

    Use for a product of two different kinds of functions. Pick uu to get simpler when differentiated, using LIATE order: logs, inverse trig, algebraic, trig, exponential. The rest is dvdv.

    e.g. ∫xex dx\int xe^x\,dx: u=xu = x, dv=ex dxdv = e^x\,dx, so =xex−∫ex dx=xex−ex+C= xe^x - \int e^x\,dx = xe^x - e^x + C

    ∫u dv=uv−∫v du\displaystyle \int u\,dv = uv - \int v\,du
  2. 1.5.2

    Using Integration by Parts to Calculate Integrals With Logarithms

    Let u=ln⁡xu = \ln x, since it simplifies to 1x\tfrac1x when differentiated. Let dvdv be the rest, even if that is just dxdx.

    e.g. ∫xln⁡x dx\int x\ln x\,dx: u=ln⁡xu = \ln x, v=x22v = \tfrac{x^2}{2}, so =x22ln⁡x−∫x2 dx=x22ln⁡x−x24+C= \tfrac{x^2}{2}\ln x - \int \tfrac{x}{2}\,dx = \tfrac{x^2}{2}\ln x - \tfrac{x^2}{4} + C

    ∫ln⁡x dx=xln⁡x−x+C\displaystyle \int \ln x\,dx = x\ln x - x + C
  3. 1.5.3

    Applying the Integration By Parts Twice

    If the new integral still needs parts, apply it again. Choose the same kind of function as uu the second time, or you will undo the first step.

    e.g. x2ex−2(xex−ex)+C=ex(x2−2x+2)+Cx^2e^x - 2(xe^x - e^x) + C = e^x(x^2 - 2x + 2) + C

    ∫x2ex dx=x2ex−2∫xex dx\displaystyle \int x^2e^x\,dx = x^2e^x - 2\int xe^x\,dx
  4. 1.5.4

    The Tabular Method of Integration by Parts

    Use when uu is a polynomial. Column D: differentiate uu until you reach 0. Column I: integrate dvdv the same number of times. Multiply each D entry by the next row's I entry, with signs +,−,+,…+, -, +, \ldots, and add.

    e.g. ∫x2sin⁡x dx\int x^2\sin x\,dx: D: x2,2x,2,0x^2, 2x, 2, 0; I: sin⁡x,−cos⁡x,−sin⁡x,cos⁡x\sin x, -\cos x, -\sin x, \cos x; result −x2cos⁡x+2xsin⁡x+2cos⁡x+C-x^2\cos x + 2x\sin x + 2\cos x + C

    ∫fg dx=fG1−f′G2+f′′G3−⋯\displaystyle \int f g\,dx = fG_1 - f'G_2 + f''G_3 - \cdots
  5. 1.5.5

    Integration by Parts in Cyclic Cases

    For products like exsin⁡xe^x\sin x, neither factor ever simplifies. Integrate by parts twice, keeping the same type of uu. The original integral II reappears, so solve for II algebraically.

    e.g. ∫excos⁡x dx=12ex(sin⁡x+cos⁡x)+C\int e^x\cos x\,dx = \tfrac12 e^x(\sin x + \cos x) + C

    I=∫exsin⁡x dx\displaystyle I = \int e^x\sin x\,dx
    I=exsin⁡x−excos⁡x−I\displaystyle I = e^x\sin x - e^x\cos x - I
    ⇒  I=12ex(sin⁡x−cos⁡x)+C\displaystyle \Rightarrow\; I = \tfrac12 e^x(\sin x - \cos x) + C

1.6 Integration Using Partial Fractions

  1. 1.6.1

    Expressing Rational Functions as Sums of Partial Fractions

    The numerator's degree must be less than the denominator's (long divide first if not). Factor the denominator. Each distinct linear factor gets a constant over it. Clear denominators and plug in each root to find the constants.

    e.g. 5x−1(x−1)(x+1)\tfrac{5x - 1}{(x - 1)(x + 1)}: 5x−1=A(x+1)+B(x−1)5x - 1 = A(x + 1) + B(x - 1); x=1x = 1 gives A=2A = 2, x=−1x = -1 gives B=3B = 3

    px+q(x−a)(x−b)=Ax−a+Bx−b\displaystyle \frac{px + q}{(x - a)(x - b)} = \frac{A}{x - a} + \frac{B}{x - b}
  2. 1.6.2

    Expressing Rational Functions with Repeated Factors as Sums of Partial Fractions

    A factor (x−a)k(x - a)^k gets kk terms, one for each power from 1 to kk. Plug in roots for some constants, then match coefficients for the rest.

    e.g. 1x2(x−1)=−1x−1x2+1x−1\tfrac{1}{x^2(x - 1)} = -\tfrac1x - \tfrac{1}{x^2} + \tfrac{1}{x - 1}

    A1x−a+A2(x−a)2+⋯+Ak(x−a)k\displaystyle \frac{A_1}{x - a} + \frac{A_2}{(x - a)^2} + \cdots + \frac{A_k}{(x - a)^k}
  3. 1.6.3

    Expressing Rational Functions with Irreducible Quadratic Factors as Sums of Partial

    A quadratic factor that cannot be factored over the reals (b2−4ac<0b^2 - 4ac < 0) gets a linear numerator Bx+CBx + C. Match coefficients to find the constants.

    e.g. 2x2+x+1x(x2+1)=1x+x+1x2+1\tfrac{2x^2 + x + 1}{x(x^2 + 1)} = \tfrac1x + \tfrac{x + 1}{x^2 + 1}

    Ax−a+Bx+Cx2+px+q\displaystyle \frac{A}{x - a} + \frac{Bx + C}{x^2 + px + q}
  4. 1.6.4

    Integrating Rational Functions Using Partial Fractions

    Decompose into partial fractions, then integrate each term. Each linear term gives a natural log.

    e.g. ∫5x−1x2−1 dx=∫(2x−1+3x+1)dx=2ln⁡∣x−1∣+3ln⁡∣x+1∣+C\int \tfrac{5x - 1}{x^2 - 1}\,dx = \int\left(\tfrac{2}{x - 1} + \tfrac{3}{x + 1}\right)dx = 2\ln\lvert x - 1\rvert + 3\ln\lvert x + 1\rvert + C

    ∫Ax−a dx=Aln⁡∣x−a∣+C\displaystyle \int \frac{A}{x - a}\,dx = A\ln\lvert x - a\rvert + C
  5. 1.6.5

    Integrating Rational Functions with Repeated Factors

    Terms over (x−a)n(x - a)^n with n≥2n \ge 2 integrate by the power rule, not to a log. Only the first-power term gives a log.

    e.g. ∫dxx2(x−1)=∫(−1x−1x2+1x−1)dx=−ln⁡∣x∣+1x+ln⁡∣x−1∣+C\int \tfrac{dx}{x^2(x - 1)} = \int\left(-\tfrac1x - \tfrac{1}{x^2} + \tfrac{1}{x - 1}\right)dx = -\ln\lvert x\rvert + \tfrac1x + \ln\lvert x - 1\rvert + C

    ∫dx(x−a)n=(x−a)1−n1−n+C\displaystyle \int \frac{dx}{(x - a)^n} = \frac{(x - a)^{1 - n}}{1 - n} + C
    ∫dx(x−a)2=−1x−a+C\displaystyle \int \frac{dx}{(x - a)^2} = -\frac{1}{x - a} + C
  6. 1.6.6

    Integrating Rational Functions with Irreducible Quadratic Factors

    Split Bx+Cx2+k2\tfrac{Bx + C}{x^2 + k^2} into an xx part, which gives a log, and a constant part, which gives arctangent. Complete the square first if the quadratic has an xx term.

    e.g. ∫(1x+x+1x2+1)dx=ln⁡∣x∣+12ln⁡(x2+1)+arctan⁡x+C\int\left(\tfrac1x + \tfrac{x + 1}{x^2 + 1}\right)dx = \ln\lvert x\rvert + \tfrac12\ln(x^2 + 1) + \arctan x + C

    ∫x dxx2+k2=12ln⁡(x2+k2)+C\displaystyle \int \frac{x\,dx}{x^2 + k^2} = \tfrac12\ln(x^2 + k^2) + C
    ∫dxx2+k2=1karctan⁡xk+C\displaystyle \int \frac{dx}{x^2 + k^2} = \tfrac1k\arctan\tfrac{x}{k} + C

1.7 Improper Integrals

xy1234567810.5y = 1/x²area continues →∫₁∞ 1/x² dx=limb→∞[1 − 1/b] = 1Infinite region, finite area.But ∫₁∞ 1/x dx diverges:it equals lim ln b, whichgrows without bound.
The region under y = 1/x² goes on forever, yet its area adds up to exactly 1. An improper integral is a limit: integrate to b, then let b run to infinity.
  1. 1.7.1

    Improper Integrals

    An integral with an infinite limit is defined as a limit. It converges if the limit is a finite number and diverges otherwise. ∫1∞1xp dx\int_1^\infty \tfrac{1}{x^p}\,dx converges only when p>1p > 1.

    e.g. ∫1∞1x2 dx=lim⁡b→∞(1−1b)=1\int_1^\infty \tfrac{1}{x^2}\,dx = \lim_{b \to \infty}\left(1 - \tfrac1b\right) = 1

    ∫a∞f(x) dx\displaystyle \int_a^\infty f(x)\,dx
    =lim⁡b→∞∫abf(x) dx\displaystyle = \lim_{b \to \infty}\int_a^b f(x)\,dx
  2. 1.7.2

    Improper Integrals Involving Exponential Functions

    Integrate up to bb, then let b→∞b \to \infty. Decaying exponentials vanish: e−kb→0e^{-kb} \to 0 for k>0k > 0.

    e.g. ∫0∞e−2x dx=lim⁡b→∞(12−12e−2b)=12\int_0^\infty e^{-2x}\,dx = \lim_{b \to \infty}\left(\tfrac12 - \tfrac12 e^{-2b}\right) = \tfrac12

    ∫0∞e−kx dx=1k(k>0)\displaystyle \int_0^\infty e^{-kx}\,dx = \frac1k \quad (k > 0)
  3. 1.7.3

    Improper Integrals Involving Arctangent

    Integrands like 1x2+k2\tfrac{1}{x^2 + k^2} integrate to arctangent, which levels off at ±π2\pm\tfrac{\pi}{2}, so these integrals converge.

    e.g. ∫0∞dxx2+4=lim⁡b→∞12arctan⁡b2=π4\int_0^\infty \tfrac{dx}{x^2 + 4} = \lim_{b \to \infty}\tfrac12\arctan\tfrac{b}{2} = \tfrac{\pi}{4}

    ∫dx1+x2=arctan⁡x+C\displaystyle \int \frac{dx}{1 + x^2} = \arctan x + C
    lim⁡b→∞arctan⁡b=π2\displaystyle \lim_{b \to \infty}\arctan b = \frac{\pi}{2}
  4. 1.7.4

    Improper Integrals Over the Real Line

    Split at any convenient point cc, often 0. The integral converges only if both halves converge. Do not take one symmetric limit ∫−bb\int_{-b}^{b}, since that can hide divergence.

    e.g. ∫−∞∞dx1+x2=π2+π2=π\int_{-\infty}^{\infty}\tfrac{dx}{1 + x^2} = \tfrac{\pi}{2} + \tfrac{\pi}{2} = \pi

    ∫−∞∞f dx=∫−∞cf dx+∫c∞f dx\displaystyle \int_{-\infty}^{\infty} f\,dx = \int_{-\infty}^{c} f\,dx + \int_{c}^{\infty} f\,dx
  5. 1.7.5

    Improper Integrals of the Second Kind

    The integrand blows up at an endpoint. Replace that endpoint with tt and take a one-sided limit. ∫011xp dx\int_0^1 \tfrac{1}{x^p}\,dx converges only when p<1p < 1.

    e.g. ∫01dxx=lim⁡t→0+(2−2t)=2\int_0^1 \tfrac{dx}{\sqrt{x}} = \lim_{t \to 0^+}\left(2 - 2\sqrt{t}\right) = 2

    ∫abf(x) dx\displaystyle \int_a^b f(x)\,dx
    =lim⁡t→a+∫tbf(x) dx\displaystyle = \lim_{t \to a^+}\int_t^b f(x)\,dx
  6. 1.7.6

    Improper Integrals of the Second Kind: Discontinuities at Interior Points

    If ff blows up at a point cc inside [a,b][a, b], split there and take one-sided limits on each piece. If either piece diverges, the whole integral diverges. Always check for a vertical asymptote before using the Fundamental Theorem.

    e.g. ∫−11dxx2\int_{-1}^{1}\tfrac{dx}{x^2} diverges because ∫01dxx2\int_0^1 \tfrac{dx}{x^2} diverges. The shortcut answer −2-2 is wrong.

    ∫abf dx=∫acf dx+∫cbf dx\displaystyle \int_a^b f\,dx = \int_a^c f\,dx + \int_c^b f\,dx

Unit 2 27 topics

Applications of Integration

Applications of Integration, Volumes of Solids With Known Cross Sections, Volumes of Revolution, and more.

2.8 Applications of Integration

  1. 2.8.1

    Integrating Rates of Change

    The integral of a rate of change gives the net change in the amount. Add the starting amount to get the final amount. For velocity, ∫v dt\int v\,dt is displacement and ∫∣v∣ dt\int \lvert v \rvert\,dt is total distance.

    e.g. Tank has 10 gal, water flows in at r(t)=4tr(t) = 4t gal/min: after 3 min, 10+∫034t dt=10+18=2810 + \int_0^3 4t\,dt = 10 + 18 = 28 gal

    Q(b)=Q(a)+∫abQ′(t) dt\displaystyle Q(b) = Q(a) + \int_a^b Q'(t)\,dt
  2. 2.8.2

    Integrating Density Functions

    Integrating a density (amount per unit length) over an interval gives the total amount. For a density per unit area that depends on the distance rr from a center, multiply by the ring circumference 2πr2\pi r.

    e.g. A 2 m rod with density ρ(x)=3x2\rho(x) = 3x^2 kg/m has mass ∫023x2 dx=8\int_0^2 3x^2\,dx = 8 kg

    total=∫abρ(x) dx\displaystyle \text{total} = \int_a^b \rho(x)\,dx
    radial: ∫0R2πr ρ(r) dr\displaystyle \text{radial: } \int_0^R 2\pi r\,\rho(r)\,dr
  3. 2.8.3

    The Average Value of a Function

    The average value of ff on [a,b][a, b] is its integral divided by the length of the interval.

    e.g. f(x)=x2f(x) = x^2 on [0,3][0, 3]: 13∫03x2 dx=13⋅9=3\tfrac13\int_0^3 x^2\,dx = \tfrac13 \cdot 9 = 3

    favg=1b−a∫abf(x) dx\displaystyle f_{\text{avg}} = \frac{1}{b-a}\int_a^b f(x)\,dx
  4. 2.8.4

    The Area Between Curves Expressed as Functions of X

    Integrate top minus bottom with respect to xx. The limits are usually the xx-values where the curves intersect.

    e.g. y=xy = x and y=x2y = x^2 on [0,1][0, 1]: ∫01(x−x2) dx=12−13=16\int_0^1 (x - x^2)\,dx = \tfrac12 - \tfrac13 = \tfrac16

    A=∫ab[f(x)−g(x)]dx\displaystyle A = \int_a^b \left[f(x) - g(x)\right]dx
    f(x)≥g(x) on [a,b]\displaystyle f(x) \ge g(x) \text{ on } [a, b]
  5. 2.8.5

    The Area Between Curves Expressed as Functions of Y

    When the curves are easier to write as xx in terms of yy, integrate right minus left with respect to yy. The limits are yy-values.

    e.g. x=y2x = y^2 and x=y+2x = y + 2 meet at y=−1,2y = -1, 2: ∫−12(y+2−y2) dy=92\int_{-1}^{2} (y + 2 - y^2)\,dy = \tfrac92

    A=∫cd[xR(y)−xL(y)]dy\displaystyle A = \int_c^d \left[x_R(y) - x_L(y)\right]dy
  6. 2.8.6

    Finding Areas Between Curves that Intersect at More Than Two Points

    Find every intersection. Between each pair, check which curve is on top, then add the separate areas so that no part cancels.

    e.g. y=x3y = x^3 and y=xy = x meet at x=−1,0,1x = -1, 0, 1: ∫−10(x3−x) dx+∫01(x−x3) dx=14+14=12\int_{-1}^0 (x^3 - x)\,dx + \int_0^1 (x - x^3)\,dx = \tfrac14 + \tfrac14 = \tfrac12

    A=∫ab∣f(x)−g(x)∣ dx\displaystyle A = \int_a^b \lvert f(x) - g(x)\rvert\,dx
  7. 2.8.7

    The Arc Length of a Planar Curve

    The length of a smooth curve y=f(x)y = f(x) from x=ax = a to x=bx = b. Square the derivative, add 1, take the root, and integrate. If x=g(y)x = g(y), use the yy version.

    e.g. y=23x3/2y = \tfrac23 x^{3/2} on [0,3][0, 3]: y′=xy' = \sqrt x, L=∫031+x dx=23(8−1)=143L = \int_0^3 \sqrt{1 + x}\,dx = \tfrac23(8 - 1) = \tfrac{14}3

    L=∫ab1+[f′(x)]2 dx\displaystyle L = \int_a^b \sqrt{1 + [f'(x)]^2}\,dx
    L=∫cd1+[g′(y)]2 dy\displaystyle L = \int_c^d \sqrt{1 + [g'(y)]^2}\,dy

2.9 Volumes of Solids With Known Cross Sections

  1. 2.9.1

    Volumes of Solids with Square Cross Sections

    Slice perpendicular to the axis. Each slice is a square whose side ss is the length across the base region at that point. Integrate the area of the square.

    e.g. Base under y=xy = \sqrt{x} on [0,4][0, 4], squares perpendicular to the xx-axis: s=xs = \sqrt{x}, V=∫04x dx=8V = \int_0^4 x\,dx = 8

    A(x)=[s(x)]2\displaystyle A(x) = [s(x)]^2
    V=∫ab[s(x)]2 dx\displaystyle V = \int_a^b [s(x)]^2\,dx
  2. 2.9.2

    Volumes of Solids with Rectangular Cross Sections

    One side ss of each rectangle lies in the base region. The other side hh is given, often a constant or a multiple of ss. Integrate base times height.

    e.g. Base under y=xy = x on [0,2][0, 2], height 3 times the base: A=3x2A = 3x^2, V=∫023x2 dx=8V = \int_0^2 3x^2\,dx = 8

    A(x)=s(x) h(x)\displaystyle A(x) = s(x)\,h(x)
    V=∫abs(x) h(x) dx\displaystyle V = \int_a^b s(x)\,h(x)\,dx
  3. 2.9.3

    Volumes of Solids with Triangular Cross Sections

    Find the side ss that lies in the base, then use the area formula for the stated triangle. Read carefully whether ss is a leg or the hypotenuse.

    e.g. Base under y=2xy = 2x on [0,3][0, 3], equilateral triangles: A=34(2x)2=3 x2A = \tfrac{\sqrt3}{4}(2x)^2 = \sqrt3\,x^2, V=3∫03x2 dx=93V = \sqrt3\int_0^3 x^2\,dx = 9\sqrt3

    A=34s2    equilateral\displaystyle A = \tfrac{\sqrt3}{4}s^2 \;\;\text{equilateral}
    A=12s2    isos. right, leg s\displaystyle A = \tfrac12 s^2 \;\;\text{isos. right, leg } s
    A=14s2    isos. right, hyp. s\displaystyle A = \tfrac14 s^2 \;\;\text{isos. right, hyp. } s
    V=∫abA(x) dx\displaystyle V = \int_a^b A(x)\,dx
  4. 2.9.4

    Volumes of Solids with Circular Cross Sections

    The length ss across the base is the diameter, so the radius is s/2s/2. For semicircles, take half the circle's area.

    e.g. Diameter s=xs = x on [0,2][0, 2]: V=∫02π4x2 dx=π4⋅83=2π3V = \int_0^2 \tfrac{\pi}{4}x^2\,dx = \tfrac{\pi}{4}\cdot\tfrac83 = \tfrac{2\pi}{3}

    A=π(s2)2=π4s2\displaystyle A = \pi\left(\tfrac{s}{2}\right)^2 = \tfrac{\pi}{4}s^2
    Asemicircle=π8s2\displaystyle A_{\text{semicircle}} = \tfrac{\pi}{8}s^2
    V=∫abA(x) dx\displaystyle V = \int_a^b A(x)\,dx

2.10 Volumes of Revolution

xr = √xy = √x0x = 4V = π∫ₐᵇ [f(x)]² dxEach disk is a thin cylinder:volume πr² dx, with r = f(x).Washer (hole in the middle):V = π∫ₐᵇ (R² − r²) dxR = outer radius, r = inner radiusHere: π∫₀⁴ x dx = 8π
Spinning the region under y = √x around the x-axis makes a solid built from thin disks of radius f(x). Adding up the disk volumes πr² dx gives the integral.
  1. 2.10.1

    Volumes of Revolution Using the Disc Method: Rotation About the Coordinate Axes

    Use when the region touches the axis of rotation, so each slice is a solid disc. Rotating about the xx-axis, integrate in xx. Rotating about the yy-axis, write the curve as x=g(y)x = g(y) and integrate in yy.

    e.g. y=xy = \sqrt{x}, 0≤x≤40 \le x \le 4, about the xx-axis: V=π∫04x dx=8πV = \pi\int_0^4 x\,dx = 8\pi

    V=π∫ab[f(x)]2 dx\displaystyle V = \pi\int_a^b [f(x)]^2\,dx
    V=π∫cd[g(y)]2 dy\displaystyle V = \pi\int_c^d [g(y)]^2\,dy
  2. 2.10.2

    Volumes of Revolution Using the Disc Method: Rotation About Other Axes

    The radius is the distance from the curve to the axis, not the curve's height. About y=ky = k, R=∣f(x)−k∣R = \lvert f(x) - k\rvert and integrate in xx. About x=hx = h, R=∣g(y)−h∣R = \lvert g(y) - h\rvert and integrate in yy.

    e.g. Region between y=x2y = x^2 and y=1y = 1, about y=1y = 1: R=1−x2R = 1 - x^2, V=π∫−11(1−x2)2 dx=16π15V = \pi\int_{-1}^{1}(1 - x^2)^2\,dx = \tfrac{16\pi}{15}

    V=π∫ab[R(x)]2 dx\displaystyle V = \pi\int_a^b [R(x)]^2\,dx
    R(x)=∣f(x)−k∣\displaystyle R(x) = \lvert f(x) - k\rvert
  3. 2.10.3

    Volumes of Revolution Using the Washer Method: Rotation About the Coordinate Axes

    Use when there is a gap between the region and the axis. Each slice is a washer with outer radius RR and inner radius rr. Square each radius separately: R2−r2R^2 - r^2, not (R−r)2(R - r)^2.

    e.g. Between y=xy = x and y=x2y = x^2 on [0,1][0, 1], about the xx-axis: V=π∫01(x2−x4) dx=π(13−15)=2π15V = \pi\int_0^1 (x^2 - x^4)\,dx = \pi\left(\tfrac13 - \tfrac15\right) = \tfrac{2\pi}{15}

    V=π∫ab(R2−r2)dx\displaystyle V = \pi\int_a^b \left(R^2 - r^2\right)dx
  4. 2.10.4

    Volumes of Revolution Using the Washer Method: Rotation About Other Axes

    Measure both radii from the axis of rotation. RR goes to the curve farther from the axis, rr to the nearer one. For a vertical axis x=hx = h, use xx in terms of yy and integrate in yy.

    e.g. Between y=xy = x and y=x2y = x^2 on [0,1][0, 1], about y=−1y = -1: R=x+1R = x + 1, r=x2+1r = x^2 + 1, V=π∫01(2x−x2−x4) dx=7π15V = \pi\int_0^1 (2x - x^2 - x^4)\,dx = \tfrac{7\pi}{15}

    R=∣yfar−k∣\displaystyle R = \lvert y_{\text{far}} - k\rvert
    r=∣ynear−k∣\displaystyle r = \lvert y_{\text{near}} - k\rvert
    V=π∫ab(R2−r2)dx\displaystyle V = \pi\int_a^b \left(R^2 - r^2\right)dx
  5. 2.10.5

    The Shell Method: Rotating a Region About the X-Axis

    Shells are horizontal, so integrate in yy. The radius is yy and the height is the region's width at that yy, with xx written as a function of yy.

    e.g. Region under y=xy = \sqrt x, 0≤x≤40 \le x \le 4: h=4−y2h = 4 - y^2, V=2π∫02y(4−y2) dy=2π(8−4)=8πV = 2\pi\int_0^2 y(4 - y^2)\,dy = 2\pi(8 - 4) = 8\pi

    V=2π∫cdy h(y) dy\displaystyle V = 2\pi\int_c^d y\,h(y)\,dy
  6. 2.10.6

    The Shell Method: Rotating a Region Between Two Curves About the X-Axis

    Write both curves as xx in terms of yy. The shell height is right curve minus left curve, and the radius is yy (or ∣y−k∣\lvert y - k \rvert about y=ky = k).

    e.g. Between x=yx = y and x=y2x = y^2, 0≤y≤10 \le y \le 1: V=2π∫01y(y−y2) dy=2π(13−14)=π6V = 2\pi\int_0^1 y(y - y^2)\,dy = 2\pi\left(\tfrac13 - \tfrac14\right) = \tfrac{\pi}{6}

    V=2π∫cdy [xR(y)−xL(y)] dy\displaystyle V = 2\pi\int_c^d y\,[x_R(y) - x_L(y)]\,dy
  7. 2.10.7

    The Shell Method: Rotation About the Y-Axis

    Shells are vertical, so integrate in xx. The radius is xx (or ∣x−k∣\lvert x - k \rvert about x=kx = k) and the height is top curve minus bottom curve.

    e.g. Under y=x2y = x^2, 0≤x≤20 \le x \le 2: V=2π∫02x⋅x2 dx=2π(4)=8πV = 2\pi\int_0^2 x \cdot x^2\,dx = 2\pi(4) = 8\pi

    V=2π∫abx [f(x)−g(x)] dx\displaystyle V = 2\pi\int_a^b x\,[f(x) - g(x)]\,dx

2.11 Surface Areas of Revolution

  1. 2.11.1

    Surface Areas of Revolution: Rotation About the X-Axis

    Each slice sweeps a band of radius f(x)f(x) and slant length dsds. Requires f(x)≥0f(x) \ge 0 and f′f' continuous.

    e.g. f(x)=xf(x) = x on [0,1][0, 1] (a cone): S=2π∫01x2 dx=π2S = 2\pi\int_0^1 x\sqrt2\,dx = \pi\sqrt2

    S=2π∫abf(x)1+[f′(x)]2 dx\displaystyle S = 2\pi\int_a^b f(x)\sqrt{1 + [f'(x)]^2}\,dx
  2. 2.11.2

    Surface Areas of Revolution: Rotation About the Y-Axis

    The radius of each band is now xx, the distance to the yy-axis. Requires x≥0x \ge 0 on [a,b][a, b].

    e.g. y=2xy = 2x on [0,1][0, 1]: S=2π∫01x5 dx=π5S = 2\pi\int_0^1 x\sqrt5\,dx = \pi\sqrt5

    S=2π∫abx1+[f′(x)]2 dx\displaystyle S = 2\pi\int_a^b x\sqrt{1 + [f'(x)]^2}\,dx
  3. 2.11.3

    Surface Areas of Revolution for Parametric Curves

    Use the parametric arc length element. About the xx-axis the radius is y(t)≥0y(t) \ge 0. About the yy-axis use x(t)x(t) instead. The curve must be traced once.

    e.g. x=cos⁡tx = \cos t, y=sin⁡ty = \sin t, 0≤t≤π0 \le t \le \pi, about the xx-axis: S=2π∫0πsin⁡t dt=4πS = 2\pi\int_0^\pi \sin t\,dt = 4\pi

    S=2π∫αβy(t) ds\displaystyle S = 2\pi\int_\alpha^\beta y(t)\,ds
    ds=x′(t)2+y′(t)2 dt\displaystyle ds = \sqrt{x'(t)^2 + y'(t)^2}\,dt

2.12 Connecting Position, Velocity and Acceleration Using Integrals

  1. 2.12.1

    Calculating Velocity Using Integration

    Velocity is an antiderivative of acceleration. Use the initial velocity to find CC.

    e.g. a(t)=6ta(t) = 6t, v(0)=2v(0) = 2: v(t)=3t2+2v(t) = 3t^2 + 2

    v(t)=∫a(t) dt\displaystyle v(t) = \int a(t)\,dt
    v(b)=v(a)+∫aba(t) dt\displaystyle v(b) = v(a) + \int_a^b a(t)\,dt
  2. 2.12.2

    Determining Characteristics of Moving Objects Using Integration

    Integrate to get velocity or position, then read the motion. At rest when v=0v = 0. Moving right when v>0v > 0 and left when v<0v < 0. Speeding up when vv and aa have the same sign, slowing down when opposite.

    e.g. a(t)=2a(t) = 2, v(0)=−4v(0) = -4: v(t)=2t−4v(t) = 2t - 4, at rest at t=2t = 2, moving left and slowing down before that

    speeding up: v,a same sign\displaystyle \text{speeding up: } v, a \text{ same sign}
    slowing down: opposite signs\displaystyle \text{slowing down: opposite signs}
  3. 2.12.3

    Calculating the Position Function of a Particle Using Integration

    Position is an antiderivative of velocity. Use the initial position to find CC.

    e.g. v(t)=4t−3v(t) = 4t - 3, s(0)=5s(0) = 5: s(t)=2t2−3t+5s(t) = 2t^2 - 3t + 5

    s(t)=∫v(t) dt\displaystyle s(t) = \int v(t)\,dt
    s(b)=s(a)+∫abv(t) dt\displaystyle s(b) = s(a) + \int_a^b v(t)\,dt
  4. 2.12.4

    Calculating the Displacement of a Particle Using Integration

    Displacement is the net change in position: the integral of velocity. It can be negative or zero, because motion in opposite directions cancels.

    e.g. v(t)=t−2v(t) = t - 2 on [0,4][0, 4]: ∫04(t−2) dt=8−8=0\int_0^4 (t - 2)\,dt = 8 - 8 = 0

    ∫abv(t) dt=s(b)−s(a)\displaystyle \int_a^b v(t)\,dt = s(b) - s(a)
  5. 2.12.5

    Calculating the Total Distance Traveled by a Particle

    Total distance is the integral of speed, which is never negative. Split the interval where vv changes sign and add the absolute values.

    e.g. v(t)=t−2v(t) = t - 2 on [0,4][0, 4]: ∫02(2−t) dt+∫24(t−2) dt=2+2=4\int_0^2 (2 - t)\,dt + \int_2^4 (t - 2)\,dt = 2 + 2 = 4

    distance=∫ab∣v(t)∣ dt\displaystyle \text{distance} = \int_a^b \lvert v(t)\rvert\,dt
  6. 2.12.6

    Average Position, Velocity, and Acceleration

    Each is the average value of that function on [a,b][a, b]. Average velocity is also change in position over time, and average acceleration is change in velocity over time.

    e.g. v(t)=3t2v(t) = 3t^2 on [0,2][0, 2]: average velocity 12∫023t2 dt=12⋅8=4\tfrac12\int_0^2 3t^2\,dt = \tfrac12 \cdot 8 = 4

    vˉ=1b−a∫abv(t) dt\displaystyle \bar v = \frac{1}{b-a}\int_a^b v(t)\,dt
    =s(b)−s(a)b−a\displaystyle = \frac{s(b) - s(a)}{b - a}
    aˉ=v(b)−v(a)b−a\displaystyle \bar a = \frac{v(b) - v(a)}{b - a}
    sˉ=1b−a∫abs(t) dt\displaystyle \bar s = \frac{1}{b-a}\int_a^b s(t)\,dt

Unit 3 23 topics

Parametric & Polar Equations

Parametric Equations, Vector-Valued Functions, The Planar Motion of a Particle, and Polar Coordinates.

3.13 Parametric Equations

xyt = −2t = −1t = 0t = 1t = 2x = t2y = t3 − 3t−2 ≤ t ≤ 2Arrows point the way thecurve is traced as t grows.The curve crosses itselfat (3, 0), when t = ±√3.Eliminate t to get oneequation: y2 = x(x − 3)2.
A parametric curve gives x and y separately as functions of t. Plotting points in order of t shows the path and its direction, which an ordinary y = f(x) graph cannot show.
  1. 3.13.1

    Differentiating Parametric Curves

    For x=x(t)x = x(t), y=y(t)y = y(t), the slope is dy/dtdy/dt divided by dx/dtdx/dt. It is defined only where dx/dt≠0dx/dt \ne 0.

    e.g. x=t2x = t^2, y=t3y = t^3: dydx=3t22t=3t2\frac{dy}{dx} = \frac{3t^2}{2t} = \frac{3t}{2}

    dydx=dy/dtdx/dt\displaystyle \frac{dy}{dx} = \frac{dy/dt}{dx/dt}
  2. 3.13.2

    Calculating Tangent and Normal Lines with Parametric Equations

    Plug t0t_0 into x(t)x(t) and y(t)y(t) to get the point, and into dy/dxdy/dx to get the slope mm. The normal line has slope −1/m-1/m.

    e.g. x=t2x = t^2, y=t3y = t^3 at t=1t = 1: point (1,1)(1, 1), m=32m = \tfrac32. Tangent y−1=32(x−1)y - 1 = \tfrac32(x - 1), normal y−1=−23(x−1)y - 1 = -\tfrac23(x - 1)

    y−y0=m(x−x0)\displaystyle y - y_0 = m(x - x_0)
    m=dydx∣t=t0\displaystyle m = \frac{dy}{dx}\Big\rvert_{t = t_0}
  3. 3.13.3

    Second Derivatives of Parametric Equations

    Differentiate dy/dxdy/dx with respect to tt, then divide by dx/dtdx/dt again. Do not just take d2y/dt2d^2y/dt^2 over d2x/dt2d^2x/dt^2.

    e.g. x=t2x = t^2, y=t3y = t^3: dydx=3t2\frac{dy}{dx} = \tfrac{3t}{2}, so d2ydx2=3/22t=34t\frac{d^2y}{dx^2} = \frac{3/2}{2t} = \frac{3}{4t}

    d2ydx2=ddt(dydx)dx/dt\displaystyle \frac{d^2y}{dx^2} = \frac{\frac{d}{dt}\left(\frac{dy}{dx}\right)}{dx/dt}
  4. 3.13.4

    The Arc Length of a Parametric Curve

    Integrate the speed x′(t)2+y′(t)2\sqrt{x'(t)^2 + y'(t)^2} over the interval. The curve must be traced exactly once on [a,b][a, b].

    e.g. x=3cos⁡tx = 3\cos t, y=3sin⁡ty = 3\sin t, 0≤t≤2π0 \le t \le 2\pi: integrand =3= 3, so L=6πL = 6\pi

    L=∫abx′(t)2+y′(t)2 dt\displaystyle L = \int_a^b \sqrt{x'(t)^2 + y'(t)^2}\,dt
  5. 3.13.5

    Calculating Areas Bounded by Parametric Functions

    Substitute y=y(t)y = y(t) and dx=x′(t) dtdx = x'(t)\,dt into ∫y dx\int y\,dx. Set the tt-limits so xx runs left to right, or take the absolute value.

    e.g. x=t2x = t^2, y=t3y = t^3, 0≤t≤10 \le t \le 1: A=∫01t3(2t) dt=25A = \int_0^1 t^3 (2t)\,dt = \tfrac25

    A=∫αβy(t) x′(t) dt\displaystyle A = \int_\alpha^\beta y(t)\,x'(t)\,dt

3.14 Vector-Valued Functions

  1. 3.14.1

    Defining Vector-Valued Functions

    A function that takes a number tt and outputs a vector. As tt changes, the tip of the vector traces a curve. The domain is where every component is defined.

    e.g. r(t)=⟨t,t2⟩\mathbf r(t) = \langle t, t^2 \rangle: r(2)=⟨2,4⟩\mathbf r(2) = \langle 2, 4 \rangle, and the curve is y=x2y = x^2

    r(t)=⟨x(t),y(t)⟩\displaystyle \mathbf r(t) = \langle x(t), y(t) \rangle
    =x(t) i+y(t) j\displaystyle = x(t)\,\mathbf i + y(t)\,\mathbf j
  2. 3.14.2

    Differentiating Vector-Valued Functions

    Differentiate each component separately. r′(t)\mathbf r'(t) is a tangent vector to the curve.

    e.g. r(t)=⟨t2,sin⁡t⟩⇒r′(t)=⟨2t,cos⁡t⟩\mathbf r(t) = \langle t^2, \sin t \rangle \Rightarrow \mathbf r'(t) = \langle 2t, \cos t \rangle

    r′(t)=⟨x′(t),y′(t)⟩\displaystyle \mathbf r'(t) = \langle x'(t), y'(t) \rangle
  3. 3.14.3

    Integrating Vector-Valued Functions

    Integrate each component separately. An indefinite integral gets a constant vector C\mathbf C, found from an initial condition.

    e.g. ∫01⟨2t,3t2⟩ dt=⟨1,1⟩\int_0^1 \langle 2t, 3t^2 \rangle\,dt = \langle 1, 1 \rangle

    ∫r(t) dt=⟨∫x dt,∫y dt⟩\displaystyle \int \mathbf r(t)\,dt = \left\langle \int x\,dt, \int y\,dt \right\rangle
    +C\displaystyle \qquad + \mathbf C

3.15 The Planar Motion of a Particle

  1. 3.15.1

    Calculating Velocity for Plane Motion Using Differentiation

    Velocity is the derivative of position, component by component. Speed is the length of the velocity vector.

    e.g. r(t)=⟨t2,3t⟩\mathbf r(t) = \langle t^2, 3t \rangle: v(2)=⟨4,3⟩\mathbf v(2) = \langle 4, 3 \rangle, speed =5= 5

    v(t)=⟨x′(t),y′(t)⟩\displaystyle \mathbf v(t) = \langle x'(t), y'(t) \rangle
    speed=x′(t)2+y′(t)2\displaystyle \text{speed} = \sqrt{x'(t)^2 + y'(t)^2}
  2. 3.15.2

    Calculating Acceleration for Plane Motion Using Differentiation

    Acceleration is the derivative of velocity, the second derivative of position, component by component.

    e.g. r(t)=⟨t3,2t2⟩\mathbf r(t) = \langle t^3, 2t^2 \rangle: v=⟨3t2,4t⟩\mathbf v = \langle 3t^2, 4t \rangle, a=⟨6t,4⟩\mathbf a = \langle 6t, 4 \rangle, a(1)=⟨6,4⟩\mathbf a(1) = \langle 6, 4 \rangle

    a(t)=v′(t)\displaystyle \mathbf a(t) = \mathbf v'(t)
    =⟨x′′(t),y′′(t)⟩\displaystyle = \langle x''(t), y''(t) \rangle
  3. 3.15.3

    Finding Velocity Vectors in Two Dimensions Using Integration

    Integrate acceleration component by component. Use the initial velocity to find the constant in each component.

    e.g. a=⟨2,6t⟩\mathbf a = \langle 2, 6t \rangle, v(0)=⟨1,−1⟩\mathbf v(0) = \langle 1, -1 \rangle: v(t)=⟨2t+1,3t2−1⟩\mathbf v(t) = \langle 2t + 1, 3t^2 - 1 \rangle

    v(t)=v(0)+∫0ta(s) ds\displaystyle \mathbf v(t) = \mathbf v(0) + \int_0^t \mathbf a(s)\,ds
  4. 3.15.4

    Finding Displacement Vectors in Two Dimensions Using Integration

    Displacement is the integral of velocity, component by component. Add it to the starting position to get the ending position. Distance traveled is the integral of speed instead.

    e.g. v=⟨2t,3t2⟩\mathbf v = \langle 2t, 3t^2 \rangle on [0,2][0, 2]: Δr=⟨4,8⟩\Delta\mathbf r = \langle 4, 8 \rangle. From ⟨1,1⟩\langle 1, 1 \rangle it ends at ⟨5,9⟩\langle 5, 9 \rangle

    Δr=∫abv(t) dt\displaystyle \Delta\mathbf r = \int_a^b \mathbf v(t)\,dt
    r(b)=r(a)+Δr\displaystyle \mathbf r(b) = \mathbf r(a) + \Delta\mathbf r
  5. 3.15.5

    Applying Newton's Second Law in the Plane

    Force and acceleration are vectors: apply F=maF = ma to each component. Differentiate position twice to get force, or divide force by mass and integrate to get velocity and position.

    e.g. m=3m = 3, r(t)=⟨t3,2t2⟩\mathbf r(t) = \langle t^3, 2t^2 \rangle: a=⟨6t,4⟩\mathbf a = \langle 6t, 4 \rangle, so F(1)=⟨18,12⟩\mathbf F(1) = \langle 18, 12 \rangle

    F(t)=m a(t)=m r′′(t)\displaystyle \mathbf{F}(t) = m\,\mathbf{a}(t) = m\,\mathbf{r}''(t)
    ⟨Fx,Fy⟩=⟨mx′′,my′′⟩\displaystyle \langle F_x, F_y \rangle = \langle m x'', m y'' \rangle

3.16 Polar Coordinates

0π/6π/3π/22π/35π/6π7π/64π/33π/25π/311π/6123θ(r, θ)r = 3 cos 2θa four-petal rosex = r cos θy = r sin θr2 = x2 + y2tan θ = y/xr is the distance from the pole;θ is the angle from the x-axis.
A polar point is a distance r from the pole at an angle θ. The conversion formulas come straight from the right triangle with legs x and y and hypotenuse r.
  1. 3.16.1

    Differentiating Curves Given in Polar Form

    Treat θ\theta as the parameter with x=rcos⁡θx = r\cos\theta and y=rsin⁡θy = r\sin\theta. Use the product rule on each, then divide.

    e.g. r=θr = \theta at θ=π2\theta = \tfrac\pi2: dydθ=1\frac{dy}{d\theta} = 1, dxdθ=−π2\frac{dx}{d\theta} = -\tfrac\pi2, so dydx=−2π\frac{dy}{dx} = -\tfrac2\pi

    x=rcos⁡θ,  y=rsin⁡θ\displaystyle x = r\cos\theta,\; y = r\sin\theta
    dydx=dy/dθdx/dθ\displaystyle \frac{dy}{dx} = \frac{dy/d\theta}{dx/d\theta}
    =r′sin⁡θ+rcos⁡θr′cos⁡θ−rsin⁡θ\displaystyle = \frac{r'\sin\theta + r\cos\theta}{r'\cos\theta - r\sin\theta}
  2. 3.16.2

    Further Differentiation of Curves Given in Polar Form

    Write xx and yy as functions of θ\theta first, simplify with trig identities, then differentiate. Evaluate dy/dxdy/dx at the given θ\theta.

    e.g. r=2cos⁡θr = 2\cos\theta: x=2cos⁡2θx = 2\cos^2\theta, y=sin⁡2θy = \sin 2\theta, so dydx=2cos⁡2θ−2sin⁡2θ=−cot⁡2θ\frac{dy}{dx} = \frac{2\cos 2\theta}{-2\sin 2\theta} = -\cot 2\theta. At θ=π8\theta = \tfrac\pi8: −1-1

    x=f(θ)cos⁡θ\displaystyle x = f(\theta)\cos\theta
    y=f(θ)sin⁡θ\displaystyle y = f(\theta)\sin\theta
  3. 3.16.3

    Horizontal and Vertical Tangents to Polar Curves

    Horizontal tangent where dy/dθ=0dy/d\theta = 0 and dx/dθ≠0dx/d\theta \ne 0. Vertical tangent where dx/dθ=0dx/d\theta = 0 and dy/dθ≠0dy/d\theta \ne 0. Convert θ\theta to the point (rcos⁡θ,rsin⁡θ)(r\cos\theta, r\sin\theta).

    e.g. r=2cos⁡θr = 2\cos\theta: horizontal at θ=π4\theta = \tfrac\pi4, point (1,1)(1, 1). Vertical at θ=0\theta = 0, point (2,0)(2, 0)

    Horiz: dydθ=0,  dxdθ≠0\displaystyle \text{Horiz: } \tfrac{dy}{d\theta} = 0,\; \tfrac{dx}{d\theta} \ne 0
    Vert: dxdθ=0,  dydθ≠0\displaystyle \text{Vert: } \tfrac{dx}{d\theta} = 0,\; \tfrac{dy}{d\theta} \ne 0
  4. 3.16.4

    Horizontal and Vertical Tangents to Polar Curves in Non-Differentiable Cases

    If dy/dθdy/d\theta and dx/dθdx/d\theta are both 0, the test is inconclusive. Find the limit of dy/dxdy/dx as θ→θ0\theta \to \theta_0 (factor or use L'Hôpital). A limit of 0 means horizontal; an infinite limit means vertical.

    e.g. r=1+cos⁡θr = 1 + \cos\theta at θ=π\theta = \pi: both are 0, and dydx=(2cos⁡θ−1)(1+cos⁡θ)−sin⁡θ(1+2cos⁡θ)→0\frac{dy}{dx} = \frac{(2\cos\theta - 1)(1 + \cos\theta)}{-\sin\theta(1 + 2\cos\theta)} \to 0, so horizontal at the pole

    lim⁡θ→θ0dy/dθdx/dθ\displaystyle \lim_{\theta \to \theta_0} \frac{dy/d\theta}{dx/d\theta}
  5. 3.16.5

    Tangent and Normal Lines to Polar Curves

    Find the point (x0,y0)=(rcos⁡θ0,rsin⁡θ0)(x_0, y_0) = (r\cos\theta_0, r\sin\theta_0) and the slope m=dy/dxm = dy/dx at θ0\theta_0. Use point-slope form. The normal slope is −1/m-1/m.

    e.g. r=2sin⁡θr = 2\sin\theta at θ=π6\theta = \tfrac\pi6: point (32,12)(\tfrac{\sqrt3}2, \tfrac12), m=tan⁡2θ=3m = \tan 2\theta = \sqrt3, tangent y=3x−1y = \sqrt3x - 1

    y−y0=m(x−x0)\displaystyle y - y_0 = m(x - x_0)
  6. 3.16.6

    Finding the Area of a Polar Region

    The area swept out by r=f(θ)r = f(\theta) from θ=α\theta = \alpha to θ=β\theta = \beta. The region is a fan of thin sectors, not a strip under a curve.

    e.g. r=2cos⁡θr = 2\cos\theta, −π2≤θ≤π2-\tfrac\pi2 \le \theta \le \tfrac\pi2: A=12∫4cos⁡2θ dθ=πA = \tfrac12\int 4\cos^2\theta\,d\theta = \pi

    A=12∫αβr2 dθ\displaystyle A = \frac12\int_\alpha^\beta r^2\,d\theta
  7. 3.16.7

    Finding the Limits of Integration For a Given Polar Region

    Find the θ\theta values where the region starts and ends, usually where r=0r = 0 or where two curves meet. The interval should sweep the region exactly once.

    e.g. One petal of r=cos⁡2θr = \cos 2\theta: r=0r = 0 at θ=±π4\theta = \pm\tfrac\pi4, so A=12∫−π/4π/4cos⁡22θ dθ=π8A = \tfrac12\int_{-\pi/4}^{\pi/4} \cos^2 2\theta\,d\theta = \tfrac\pi8

  8. 3.16.8

    The Total Area Bounded by a Single Polar Curve

    Integrate over one full trace of the curve, or find one piece and multiply by symmetry. Going past one trace counts area twice.

    e.g. r=sin⁡3θr = \sin 3\theta traces once on [0,π][0, \pi]: A=12∫0πsin⁡23θ dθ=π4A = \tfrac12\int_0^\pi \sin^2 3\theta\,d\theta = \tfrac\pi4

    A=12∫αβr2 dθ\displaystyle A = \frac12\int_\alpha^\beta r^2\,d\theta
  9. 3.16.9

    The Area Bounded by Two Polar Curves

    Set the curves equal to find the limits. Subtract the squares of outer RR and inner rr, not the square of the difference.

    e.g. Inside r=2cos⁡θr = 2\cos\theta, outside r=1r = 1: meet at θ=±π3\theta = \pm\tfrac\pi3, A=12∫−π/3π/3(4cos⁡2θ−1) dθ=π3+32A = \tfrac12\int_{-\pi/3}^{\pi/3}(4\cos^2\theta - 1)\,d\theta = \tfrac\pi3 + \tfrac{\sqrt3}2

    A=12∫αβ(R2−r2)dθ\displaystyle A = \frac12\int_\alpha^\beta \left(R^2 - r^2\right)d\theta
  10. 3.16.10

    The Arc Length of a Polar Curve

    Add r2r^2 and (dr/dθ)2(dr/d\theta)^2, take the root, and integrate over one trace of the curve.

    e.g. r=2cos⁡θr = 2\cos\theta, 0≤θ≤π0 \le \theta \le \pi: r2+r′2=4r^2 + r'^2 = 4, so L=∫0π2 dθ=2πL = \int_0^\pi 2\,d\theta = 2\pi

    L=∫αβr2+(drdθ)2 dθ\displaystyle L = \int_\alpha^\beta \sqrt{r^2 + \left(\frac{dr}{d\theta}\right)^2}\,d\theta

Unit 4 46 topics

Sequences & Series

Sequences, Monotonic Sequences, Infinite Series, and more.

4.17 Sequences

Arithmetic: add d = 325+38+311+314+3Geometric: multiply by r = 212×24×28×216×2aₙ = a₁ + (n − 1)daₙ = a₁ · rⁿ⁻¹
Arithmetic sequences grow by equal steps, like linear functions. Geometric sequences grow by equal factors, like exponential functions.
  1. 4.17.1

    Limits of Sequences

    A sequence converges to LL if its terms get arbitrarily close to LL as n→∞n \to \infty. If there is no finite limit, it diverges. If an=f(n)a_n = f(n) and f(x)→Lf(x) \to L, then an→La_n \to L.

    e.g. an=3n+1n+2→3a_n = \frac{3n + 1}{n + 2} \to 3

    lim⁡x→∞f(x)=L  ⇒  lim⁡n→∞an=L\displaystyle \lim_{x \to \infty} f(x) = L \;\Rightarrow\; \lim_{n \to \infty} a_n = L
  2. 4.17.2

    Convergence of Geometric Sequences

    rnr^n goes to 0 when ∣r∣<1\lvert r \rvert < 1 and stays 1 when r=1r = 1. It diverges when r>1r > 1 or r≤−1r \le -1.

    e.g. (23)n→0\left(\tfrac23\right)^n \to 0. (−1)n(-1)^n diverges (it bounces between −1-1 and 11)

    lim⁡n→∞rn=0 if ∣r∣<1\displaystyle \lim_{n\to\infty} r^n = 0 \text{ if } \lvert r \rvert < 1
    converges  ⟺  −1<r≤1\displaystyle \text{converges} \iff -1 < r \le 1
  3. 4.17.3

    Further Convergence of Geometric Sequences

    Combine the powers to rewrite the term as a⋅rna \cdot r^n, then apply the geometric rule to rr.

    e.g. 2n+15n=2(25)n→0\frac{2^{n+1}}{5^n} = 2\left(\tfrac25\right)^n \to 0. (x2)n\left(\tfrac x2\right)^n converges for −2<x≤2-2 < x \le 2

    bn+kcn=bk(bc)n\displaystyle \frac{b^{n+k}}{c^n} = b^k\left(\frac{b}{c}\right)^n
  4. 4.17.4

    Limits of Sequences With Factorials

    n!n! grows faster than any bnb^n, so bn/n!→0b^n/n! \to 0. For ratios of factorials, cancel first: (n+1)!=(n+1) n!(n+1)! = (n+1)\,n!.

    e.g. (n+1)!n⋅n!=n+1n→1\frac{(n+1)!}{n \cdot n!} = \frac{n+1}{n} \to 1, and 5nn!→0\frac{5^n}{n!} \to 0

    (n+1)!=(n+1)⋅n!\displaystyle (n+1)! = (n+1) \cdot n!
    lim⁡n→∞bnn!=0\displaystyle \lim_{n\to\infty} \frac{b^n}{n!} = 0
  5. 4.17.5

    Determining Limits of Sequences Using Relative Magnitudes

    As n→∞n \to \infty, these grow in this order (p>0p > 0, b>1b > 1). A slower one over a faster one goes to 0.

    e.g. n102n→0\frac{n^{10}}{2^n} \to 0 and ln⁡nn→0\frac{\ln n}{\sqrt n} \to 0

    ln⁡n≪np≪bn≪n!≪nn\displaystyle \ln n \ll n^p \ll b^n \ll n! \ll n^n
  6. 4.17.6

    Further Determining Limits of Sequences Using Relative Magnitudes

    In a sum, the fastest-growing term dominates. Keep the dominant term on top and bottom, then take the limit.

    e.g. 2n+n33⋅2n−n≈2n3⋅2n→13\frac{2^n + n^3}{3 \cdot 2^n - n} \approx \frac{2^n}{3 \cdot 2^n} \to \tfrac13

4.18 Monotonic Sequences

  1. 4.18.1

    Monotonic Sequences

    Increasing if an+1≥ana_{n+1} \ge a_n for all nn, decreasing if an+1≤ana_{n+1} \le a_n. Monotonic means one or the other. A monotonic sequence that is bounded converges.

    e.g. an=nn+1a_n = \frac{n}{n+1}: an+1−an=1(n+1)(n+2)>0a_{n+1} - a_n = \frac{1}{(n+1)(n+2)} > 0, so increasing

    an+1−an>0  ⇒  increasing\displaystyle a_{n+1} - a_n > 0 \;\Rightarrow\; \text{increasing}
    an+1−an<0  ⇒  decreasing\displaystyle a_{n+1} - a_n < 0 \;\Rightarrow\; \text{decreasing}
  2. 4.18.2

    Identifying Monotonic Sequences Using Differentiation

    Let f(n)=anf(n) = a_n. If f′(x)>0f'(x) > 0 for x≥kx \ge k, the sequence increases from n=kn = k on. If f′(x)<0f'(x) < 0, it decreases.

    e.g. an=ln⁡nna_n = \frac{\ln n}{n}: f′(x)=1−ln⁡xx2<0f'(x) = \frac{1 - \ln x}{x^2} < 0 for x>ex > e, so decreasing for n≥3n \ge 3

    f′(x)>0  ⇒  increasing\displaystyle f'(x) > 0 \;\Rightarrow\; \text{increasing}
    f′(x)<0  ⇒  decreasing\displaystyle f'(x) < 0 \;\Rightarrow\; \text{decreasing}
  3. 4.18.3

    Identifying Monotonic Sequences Using Ratios

    For positive terms, compare an+1/ana_{n+1}/a_n to 1. Best for factorials and powers.

    e.g. an=2nn!a_n = \frac{2^n}{n!}: ratio =2n+1<1= \frac{2}{n+1} < 1 for n≥2n \ge 2, so decreasing from n=2n = 2 on

    an+1an>1  ⇒  increasing\displaystyle \frac{a_{n+1}}{a_n} > 1 \;\Rightarrow\; \text{increasing}
    an+1an<1  ⇒  decreasing\displaystyle \frac{a_{n+1}}{a_n} < 1 \;\Rightarrow\; \text{decreasing}

4.19 Infinite Series

11/223/437/845678nSₙ0.51S = 1Sₙ = 1/2 + 1/4 + … + 1/2ⁿ= 1 − 1/2ⁿEach term closes half the gap.S = a / (1 − r)when |r| < 1Here a = 1/2, r = 1/2: S = 1
The partial sums 1/2, 3/4, 7/8, … climb toward 1 but never pass it, so the infinite series converges to 1. A geometric series converges exactly when |r| < 1.
  1. 4.19.1

    Infinite Series and Partial Sums

    A series adds the terms of a sequence. The nnth partial sum SnS_n adds the first nn terms. The sum of the series is the limit of SnS_n.

    e.g. ∑n=1∞12n\sum_{n=1}^\infty \tfrac{1}{2^n}: S3=78S_3 = \tfrac78, Sn=1−12n→1S_n = 1 - \tfrac{1}{2^n} \to 1

    Sn=a1+a2+⋯+an\displaystyle S_n = a_1 + a_2 + \cdots + a_n
    ∑n=1∞an=lim⁡n→∞Sn\displaystyle \sum_{n=1}^\infty a_n = \lim_{n\to\infty} S_n
  2. 4.19.2

    Convergent and Divergent Infinite Series

    A series converges if SnS_n has a finite limit and diverges otherwise. nth-term test: if an↛0a_n \not\to 0, the series diverges. If an→0a_n \to 0, the test says nothing (the harmonic series ∑1n\sum \tfrac1n diverges).

    e.g. ∑nn+1\sum \frac{n}{n+1} diverges because the terms go to 1

    lim⁡n→∞an≠0  ⇒  diverges\displaystyle \lim_{n\to\infty} a_n \ne 0 \;\Rightarrow\; \text{diverges}
  3. 4.19.3

    Properties of Infinite Series

    If ∑an=A\sum a_n = A and ∑bn=B\sum b_n = B both converge, sums and constant multiples work term by term.

    e.g. ∑n=1∞(32n+13n)=3(1)+12=72\sum_{n=1}^\infty \left(\tfrac{3}{2^n} + \tfrac{1}{3^n}\right) = 3(1) + \tfrac12 = \tfrac72

    ∑(an±bn)=A±B\displaystyle \sum (a_n \pm b_n) = A \pm B
    ∑c an=cA\displaystyle \sum c\,a_n = cA
  4. 4.19.4

    Further Properties of Infinite Series

    Adding or removing finitely many terms does not change whether a series converges, only its sum. Convergent plus divergent diverges. A nonzero multiple of a divergent series diverges.

    e.g. ∑n=3∞12n=1−12−14=14\sum_{n=3}^\infty \tfrac{1}{2^n} = 1 - \tfrac12 - \tfrac14 = \tfrac14

    ∑n=1∞an=a1+∑n=2∞an\displaystyle \sum_{n=1}^\infty a_n = a_1 + \sum_{n=2}^\infty a_n
  5. 4.19.5

    Telescoping Series

    Write each term as a difference bn−bn+1b_n - b_{n+1} (often with partial fractions). The middle terms cancel, leaving Sn=b1−bn+1S_n = b_1 - b_{n+1}.

    e.g. ∑n=1∞1n(n+1)=∑(1n−1n+1)\sum_{n=1}^\infty \frac{1}{n(n+1)} = \sum \left(\tfrac1n - \tfrac1{n+1}\right), Sn=1−1n+1→1S_n = 1 - \tfrac1{n+1} \to 1

    Sn=b1−bn+1\displaystyle S_n = b_1 - b_{n+1}
    sum=b1−lim⁡n→∞bn+1\displaystyle \text{sum} = b_1 - \lim_{n\to\infty} b_{n+1}

4.20 Geometric Series

  1. 4.20.1

    Finding the Sum of an Infinite Geometric Series

    With first term aa and ratio rr, the series converges only when ∣r∣<1\lvert r \rvert < 1.

    e.g. 6+3+32+⋯=61−1/2=126 + 3 + \tfrac32 + \cdots = \frac{6}{1 - 1/2} = 12

    a+ar+ar2+⋯=a1−r\displaystyle a + ar + ar^2 + \cdots = \frac{a}{1 - r}
  2. 4.20.2

    Writing an Infinite Geometric Series in Sigma Notation

    Find the first term aa and the ratio rr. Starting at n=0n = 0 uses rnr^n; starting at n=1n = 1 uses rn−1r^{n-1}.

    e.g. 5−53+59−⋯=∑n=0∞5(−13)n5 - \tfrac53 + \tfrac59 - \cdots = \sum_{n=0}^\infty 5\left(-\tfrac13\right)^n

    ∑n=0∞arn=∑n=1∞arn−1\displaystyle \sum_{n=0}^\infty a r^n = \sum_{n=1}^\infty a r^{n-1}
  3. 4.20.3

    Sums of Infinite Geometric Series Given in Sigma Notation

    Plug in the starting index to get the first term. The base of the power is rr. If ∣r∣<1\lvert r \rvert < 1, the sum is first term over 1−r1 - r; otherwise the series diverges.

    e.g. ∑n=2∞3(12)n\sum_{n=2}^\infty 3\left(\tfrac12\right)^n: first term 34\tfrac34, sum =3/41/2=32= \frac{3/4}{1/2} = \tfrac32

    ∑n=k∞arn=ark1−r\displaystyle \sum_{n=k}^\infty a r^n = \frac{a r^k}{1 - r}
  4. 4.20.4

    Convergence of Geometric Series

    A geometric series with a≠0a \ne 0 converges when ∣r∣<1\lvert r \rvert < 1 and diverges when ∣r∣≥1\lvert r \rvert \ge 1. If rr contains xx, solve ∣r∣<1\lvert r \rvert < 1 for xx.

    e.g. ∑n=0∞(x3)n\sum_{n=0}^\infty \left(\tfrac x3\right)^n converges for −3<x<3-3 < x < 3, with sum 33−x\frac{3}{3 - x}

    ∣r∣<1  ⟺  converges\displaystyle \lvert r \rvert < 1 \iff \text{converges}
  5. 4.20.5

    Repeating Decimals as Infinite Geometric Series

    A block of kk repeating digits gives first term a=block/10ka = \text{block}/10^k and ratio r=1/10kr = 1/10^k. Sum it as a geometric series.

    e.g. 0.36‾=0.361−0.01=3699=4110.\overline{36} = \frac{0.36}{1 - 0.01} = \frac{36}{99} = \frac{4}{11}

    a=block10k,r=110k\displaystyle a = \frac{\text{block}}{10^k},\quad r = \frac{1}{10^k}
    value=a1−r\displaystyle \text{value} = \frac{a}{1 - r}

4.21 Infinite Series Convergence Tests

  1. 4.21.1

    The Nth Term Test for Divergence

    If the terms do not approach 0, the series diverges. If lim⁡an=0\lim a_n = 0, the test tells you nothing and you need another test.

    e.g. ∑n2n+1\sum \frac{n}{2n+1}: terms →12≠0\to \tfrac12 \ne 0, so it diverges

    lim⁡n→∞an≠0\displaystyle \lim_{n\to\infty} a_n \ne 0
    ⇒  ∑an diverges\displaystyle \Rightarrow\; \textstyle\sum a_n \text{ diverges}
  2. 4.21.2

    The Integral Test

    If ff is positive, continuous, and decreasing for x≥1x \ge 1 with f(n)=anf(n) = a_n, the series and the integral both converge or both diverge. The sum does not equal the integral.

    e.g. ∑1n2\sum \frac{1}{n^2}: ∫1∞x−2 dx=1\int_1^\infty x^{-2}\,dx = 1, so the series converges

    ∑n=1∞an  and  ∫1∞f(x) dx\displaystyle \textstyle\sum_{n=1}^{\infty} a_n \;\text{and}\; \int_1^{\infty} f(x)\,dx
    converge or diverge together\displaystyle \text{converge or diverge together}
  3. 4.21.3

    The Remainder Estimate for the Integral Test

    If ak=f(k)a_k = f(k) with ff positive, continuous, and decreasing, the error Rn=s−snR_n = s - s_n after nn terms is trapped between two improper integrals.

    e.g. ∑1k2\sum \tfrac{1}{k^2}, n=10n = 10: ∫11∞dxx2=111\int_{11}^\infty \tfrac{dx}{x^2} = \tfrac{1}{11} and ∫10∞dxx2=110\int_{10}^\infty \tfrac{dx}{x^2} = \tfrac{1}{10}, so 111≤R10≤110\tfrac{1}{11} \le R_{10} \le \tfrac{1}{10}

    ∫n+1∞f(x) dx≤Rn\displaystyle \int_{n+1}^{\infty} f(x)\,dx \le R_n
    Rn≤∫n∞f(x) dx\displaystyle R_n \le \int_n^{\infty} f(x)\,dx
  4. 4.21.4

    Harmonic Series and p-Series

    A pp-series converges only when p>1p > 1. The harmonic series is the case p=1p = 1, and it diverges.

    e.g. ∑1n\sum \frac{1}{\sqrt n}: p=12≤1p = \tfrac12 \le 1, so it diverges

    ∑n=1∞1np\displaystyle \sum_{n=1}^{\infty} \frac{1}{n^p}
    p>1: converges\displaystyle p > 1:\ \text{converges}
    p≤1: diverges\displaystyle p \le 1:\ \text{diverges}
  5. 4.21.5

    The Comparison Test

    For positive terms with an≤bna_n \le b_n: a smaller series under a convergent one converges, and a larger series over a divergent one diverges.

    e.g. 1n2+1<1n2\frac{1}{n^2+1} < \frac{1}{n^2} and ∑1n2\sum \frac{1}{n^2} converges, so ∑1n2+1\sum \frac{1}{n^2+1} converges

    0≤an≤bn\displaystyle 0 \le a_n \le b_n
    ∑bn conv.⇒∑an conv.\displaystyle \textstyle\sum b_n \text{ conv.} \Rightarrow \sum a_n \text{ conv.}
    ∑an div.⇒∑bn div.\displaystyle \textstyle\sum a_n \text{ div.} \Rightarrow \sum b_n \text{ div.}
  6. 4.21.6

    The Limit Comparison Test

    For positive terms, compare to a known series bnb_n with the same dominant behavior. If the limit is a positive finite number, both series do the same thing.

    e.g. an=3n+1n3+2a_n = \frac{3n+1}{n^3+2}, bn=1n2b_n = \frac{1}{n^2}: L=3L = 3, and ∑1n2\sum \frac{1}{n^2} converges, so ∑an\sum a_n converges

    lim⁡n→∞anbn=L\displaystyle \lim_{n\to\infty} \frac{a_n}{b_n} = L
    0<L<∞⇒same result\displaystyle 0 < L < \infty \Rightarrow \text{same result}
  7. 4.21.7

    The Alternating Series Test

    An alternating series ∑(−1)nbn\sum (-1)^n b_n with bn>0b_n > 0 converges if bnb_n is decreasing and bn→0b_n \to 0. The test can only show convergence, never divergence.

    e.g. ∑(−1)n+1n\sum \frac{(-1)^{n+1}}{n}: 1n\frac1n decreases to 0, so it converges

    bn+1≤bn  and  lim⁡n→∞bn=0\displaystyle b_{n+1} \le b_n \;\text{and}\; \lim_{n\to\infty} b_n = 0
  8. 4.21.8

    The Ratio Test

    Take the limit of the absolute ratio of consecutive terms. Best for factorials and powers like 2n2^n. If L=1L = 1 the test is inconclusive.

    e.g. ∑2nn!\sum \frac{2^n}{n!}: ratio =2n+1→0<1= \frac{2}{n+1} \to 0 < 1, so it converges

    L=lim⁡n→∞∣an+1an∣\displaystyle L = \lim_{n\to\infty} \left\lvert \frac{a_{n+1}}{a_n} \right\rvert
    L<1: converges absolutely\displaystyle L < 1:\ \text{converges absolutely}
    L>1: diverges\displaystyle L > 1:\ \text{diverges}
    L=1: inconclusive\displaystyle L = 1:\ \text{inconclusive}
  9. 4.21.9

    The Root Test

    Find LL. If L<1L < 1 the series converges absolutely. If L>1L > 1 or L=∞L = \infty it diverges. If L=1L = 1 the test says nothing. Best when ana_n has an nnth power.

    e.g. ∑(n2n+1)n\sum \left(\tfrac{n}{2n+1}\right)^n: L=lim⁡n2n+1=12<1L = \lim \tfrac{n}{2n+1} = \tfrac12 < 1, so it converges

    L=lim⁡n→∞∣an∣n\displaystyle L = \lim_{n \to \infty} \sqrt[n]{\lvert a_n \rvert}
  10. 4.21.10

    Absolute and Conditional Convergence

    If ∑∣an∣\sum \lvert a_n \rvert converges, the series converges absolutely, and so it converges. If ∑an\sum a_n converges but ∑∣an∣\sum \lvert a_n \rvert diverges, it converges conditionally.

    e.g. ∑(−1)nn\sum \frac{(-1)^n}{n} converges conditionally; ∑(−1)nn2\sum \frac{(-1)^n}{n^2} converges absolutely

    ∑∣an∣ conv.⇒∑an conv.\displaystyle \textstyle\sum \lvert a_n \rvert \text{ conv.} \Rightarrow \sum a_n \text{ conv.}
  11. 4.21.11

    The Alternating Series Error Bound

    For a series that passes the alternating series test, stopping after nn terms gives an error no bigger than the first term left out.

    e.g. ∑(−1)n+1n2\sum \frac{(-1)^{n+1}}{n^2}: S3=1−14+19=3136S_3 = 1 - \tfrac14 + \tfrac19 = \tfrac{31}{36}, error ≤116\le \tfrac{1}{16}

    ∣S−Sn∣≤bn+1\displaystyle \lvert S - S_n \rvert \le b_{n+1}
  12. 4.21.12

    Determining Convergence Parameters for Infinite Series

    Apply a test with the parameter left in, then solve the inequality the test requires. Check boundary values separately.

    e.g. ∑1n3k−2\sum \frac{1}{n^{3k-2}} converges when 3k−2>13k - 2 > 1, so k>1k > 1

    ∑arn converges  ⟺  ∣r∣<1\displaystyle \textstyle\sum ar^n \text{ converges} \iff \lvert r \rvert < 1
    ∑1np converges  ⟺  p>1\displaystyle \textstyle\sum \frac{1}{n^p} \text{ converges} \iff p > 1
  13. 4.21.13

    Selecting Procedures for Analyzing Infinite Series

    Try the nnth term test first. Spot geometric and pp-series on sight, use the ratio test for factorials or powers like 3n3^n, and the alternating series test for alternating signs. Use (limit) comparison with a pp-series for rational or root expressions, and the integral test when f(x)f(x) is easy to integrate.

    e.g. ∑n23n\sum \frac{n^2}{3^n}: ratio test gives L=13<1L = \tfrac13 < 1, so it converges

4.22 Taylor Polynomials

xy−2π−ππ2π−2−112P₁P₅P₃y = sin xP₁ = xP₃ = x − x³/6P₅ = x − x³/6 + x⁵/120Higher degree hugs sin xover a wider interval around 0.
Each Taylor polynomial matches sin x at 0 and then drifts away. Adding higher-degree terms keeps it on the curve over a wider stretch around 0.
  1. 4.22.1

    Second-Degree Taylor Polynomials

    Approximates ff near x=ax = a by matching its value, slope, and concavity at aa.

    e.g. exe^x at a=0a = 0: P2(x)=1+x+x22P_2(x) = 1 + x + \tfrac{x^2}{2}

    P2(x)=f(a)+f′(a)(x−a)\displaystyle P_2(x) = f(a) + f'(a)(x-a)
    +f′′(a)2(x−a)2\displaystyle + \frac{f''(a)}{2}(x-a)^2
  2. 4.22.2

    Analyzing Second-Degree Taylor Polynomials

    P2P_2 and ff share the same value, first derivative, and second derivative at aa. The coefficient of (x−a)2(x-a)^2 is half of f′′(a)f''(a), so double it to recover f′′(a)f''(a).

    e.g. P2=3−2(x−1)+5(x−1)2P_2 = 3 - 2(x-1) + 5(x-1)^2: f(1)=3f(1) = 3, f′(1)=−2f'(1) = -2, f′′(1)=10f''(1) = 10, concave up at x=1x = 1

    P2(k)(a)=f(k)(a), k=0,1,2\displaystyle P_2^{(k)}(a) = f^{(k)}(a),\ k = 0, 1, 2
    c2=f′′(a)2\displaystyle c_2 = \frac{f''(a)}{2}
  3. 4.22.3

    Third-Degree Taylor Polynomials

    Add the cubic term to P2P_2. Its coefficient is the third derivative divided by 3!=63! = 6.

    e.g. sin⁡x\sin x at a=0a = 0: P3(x)=x−x36P_3(x) = x - \tfrac{x^3}{6}

    P3(x)=P2(x)\displaystyle P_3(x) = P_2(x)
    +f′′′(a)6(x−a)3\displaystyle + \frac{f'''(a)}{6}(x-a)^3
  4. 4.22.4

    Higher-Degree Taylor Polynomials

    Each term uses the kkth derivative at aa divided by k!k!. Higher degree usually means a better approximation near aa.

    e.g. exe^x at 00: P4=1+x+x22+x36+x424P_4 = 1 + x + \tfrac{x^2}{2} + \tfrac{x^3}{6} + \tfrac{x^4}{24}

    Pn(x)=∑k=0nf(k)(a)k!(x−a)k\displaystyle P_n(x) = \sum_{k=0}^{n} \frac{f^{(k)}(a)}{k!}(x-a)^k
  5. 4.22.5

    The Lagrange Error Bound

    Bounds the error of PnP_n at xx. MM is the largest value of ∣f(n+1)∣\lvert f^{(n+1)} \rvert between aa and xx.

    e.g. cos⁡0.2≈1−0.042=0.98\cos 0.2 \approx 1 - \tfrac{0.04}{2} = 0.98; M=1M = 1, so error ≤0.233!≈0.0013\le \tfrac{0.2^3}{3!} \approx 0.0013

    ∣f(x)−Pn(x)∣\displaystyle \lvert f(x) - P_n(x) \rvert
    ≤M ∣x−a∣n+1(n+1)!\displaystyle \le \frac{M\,\lvert x-a \rvert^{n+1}}{(n+1)!}

4.23 Taylor Series

  1. 4.23.1

    Radius of Convergence of Power Series Centered at the Origin

    ∑cnxn\sum c_n x^n converges for ∣x∣<R\lvert x \rvert < R and diverges for ∣x∣>R\lvert x \rvert > R. Find RR with the ratio test, and check the endpoints x=±Rx = \pm R separately.

    e.g. ∑xn3n\sum \frac{x^n}{3^n}: ratio →∣x∣3<1\to \frac{\lvert x \rvert}{3} < 1, so R=3R = 3

    lim⁡n→∞∣cn+1xn+1cnxn∣<1\displaystyle \lim_{n\to\infty} \left\lvert \frac{c_{n+1}x^{n+1}}{c_n x^n} \right\rvert < 1
  2. 4.23.2

    Radius of Convergence of Power Series

    A series centered at aa converges for ∣x−a∣<R\lvert x - a \rvert < R. The interval is (a−R,a+R)(a - R, a + R) plus any endpoints that pass a separate check. R=0R = 0 means only x=ax = a; R=∞R = \infty means all xx.

    e.g. ∑(x−2)nn\sum \frac{(x-2)^n}{n}: R=1R = 1; at x=3x = 3 it diverges, at x=1x = 1 it converges, so the interval is [1,3)[1, 3)

    ∑cn(x−a)n\displaystyle \textstyle\sum c_n (x-a)^n
    converges for ∣x−a∣<R\displaystyle \text{converges for } \lvert x - a \rvert < R
  3. 4.23.3

    Maclaurin Series

    A Taylor series centered at 00.

    e.g. ex=1+x+x22!+x33!+⋯e^x = 1 + x + \tfrac{x^2}{2!} + \tfrac{x^3}{3!} + \cdots for all xx

    f(x)=∑n=0∞f(n)(0)n!xn\displaystyle f(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(0)}{n!}x^n
  4. 4.23.4

    Taylor Series

    The infinite version of the Taylor polynomial, centered at x=ax = a. It equals f(x)f(x) only inside its interval of convergence.

    e.g. 1x\frac1x at a=1a = 1: f(n)(1)=(−1)nn!f^{(n)}(1) = (-1)^n n!, so 1x=∑(−1)n(x−1)n\frac1x = \sum (-1)^n (x-1)^n for 0<x<20 < x < 2

    f(x)=∑n=0∞f(n)(a)n!(x−a)n\displaystyle f(x) = \sum_{n=0}^{\infty} \frac{f^{(n)}(a)}{n!}(x-a)^n
  5. 4.23.5

    Representing Functions as Power Series

    Start from the geometric series. Substitute for xx, multiply by powers of xx, or differentiate or integrate term by term, and track the new interval.

    e.g. 11+x2=∑(−1)nx2n\frac{1}{1+x^2} = \sum (-1)^n x^{2n} for ∣x∣<1\lvert x \rvert < 1

    11−x=∑n=0∞xn\displaystyle \frac{1}{1-x} = \sum_{n=0}^{\infty} x^n
    ∣x∣<1\displaystyle \lvert x \rvert < 1
  6. 4.23.6

    Recognizing Standard Maclaurin Series

    Match a given series to a known one, then evaluate that function. The ln⁡(1+x)\ln(1+x) series holds for −1<x≤1-1 < x \le 1.

    e.g. ∑n=0∞2nn!=e2\sum_{n=0}^{\infty} \frac{2^n}{n!} = e^2

    ex=∑n=0∞xnn!\displaystyle e^x = \sum_{n=0}^{\infty} \frac{x^n}{n!}
    11−x=∑n=0∞xn, ∣x∣<1\displaystyle \frac{1}{1-x} = \sum_{n=0}^{\infty} x^n,\ \lvert x \rvert < 1
    ln⁡(1+x)=∑n=1∞(−1)n+1xnn\displaystyle \ln(1+x) = \sum_{n=1}^{\infty} \frac{(-1)^{n+1}x^n}{n}
  7. 4.23.7

    Recognizing Standard Maclaurin Series for Trigonometric Functions

    Sine uses odd powers and cosine uses even powers, with alternating signs. Both hold for all xx.

    e.g. ∑n=0∞(−1)nπ2n(2n)!=cos⁡π=−1\sum_{n=0}^{\infty} \frac{(-1)^n \pi^{2n}}{(2n)!} = \cos \pi = -1

    sin⁡x=x−x33!+x55!−⋯\displaystyle \sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots
    cos⁡x=1−x22!+x44!−⋯\displaystyle \cos x = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdots
  8. 4.23.8

    Differentiating Taylor Series

    Differentiate term by term. The radius of convergence stays the same, but recheck the endpoints.

    e.g. ddx(x−x33!+x55!−⋯ )=1−x22!+x44!−⋯=cos⁡x\frac{d}{dx}\left(x - \tfrac{x^3}{3!} + \tfrac{x^5}{5!} - \cdots\right) = 1 - \tfrac{x^2}{2!} + \tfrac{x^4}{4!} - \cdots = \cos x

    ddx∑cnxn=∑ncnxn−1\displaystyle \frac{d}{dx}\sum c_n x^n = \sum n c_n x^{n-1}
  9. 4.23.9

    Approximating Integrals Using Taylor Series

    Replace the integrand with its series, integrate term by term, and add the first few terms. If the result alternates, the first omitted term bounds the error.

    e.g. ∫01e−x2dx=∫01(1−x2+x42−⋯ )dx≈1−13+110=2330\int_0^1 e^{-x^2}dx = \int_0^1 \left(1 - x^2 + \tfrac{x^4}{2} - \cdots\right)dx \approx 1 - \tfrac13 + \tfrac{1}{10} = \tfrac{23}{30}

    ∫0b∑cnxn dx\displaystyle \int_0^b \sum c_n x^n\,dx
    =∑cnbn+1n+1\displaystyle = \sum \frac{c_n b^{n+1}}{n+1}

Unit 5 23 topics

Differential Equations

Introduction to Differential Equations, Qualitative Techniques for Differential Equations, Modeling Exponential Growth and Decay With Differential Equations, and more.

5.24 Introduction to Differential Equations

  1. 5.24.1

    Introduction to Differential Equations

    A differential equation relates a function to its derivatives. Its order is the highest derivative that appears. A solution is a function, not a number.

    e.g. dydx=2x\frac{dy}{dx} = 2x is first order; y′′+y=0y'' + y = 0 is second order

  2. 5.24.2

    Verifying Solutions of Differential Equations

    Compute the needed derivatives of the proposed function and substitute them into the equation. It is a solution only if both sides are equal for every xx.

    e.g. y=e3xy = e^{3x} solves y′=3yy' = 3y, since y′=3e3x=3yy' = 3e^{3x} = 3y

  3. 5.24.3

    Solving First-Order ODEs Using Direct Integration

    If the derivative depends only on xx, integrate both sides. Keep the +C+ C: it gives a whole family of solutions.

    e.g. y′=6x2⇒y=2x3+Cy' = 6x^2 \Rightarrow y = 2x^3 + C

    dydx=f(x)\displaystyle \frac{dy}{dx} = f(x)
    ⇒  y=∫f(x) dx+C\displaystyle \Rightarrow\; y = \int f(x)\,dx + C
  4. 5.24.4

    Solving First-Order ODEs Using Separation of Variables

    Move all yy terms (with dydy) to one side and all xx terms (with dxdx) to the other, then integrate both sides. One +C+ C on the xx side is enough. Solve for yy if you can.

    e.g. dydx=xy\frac{dy}{dx} = xy: ln⁡∣y∣=x22+C\ln\lvert y\rvert = \tfrac{x^2}{2} + C, so y=Aex2/2y = Ae^{x^2/2}

    dydx=g(x) h(y)\displaystyle \frac{dy}{dx} = g(x)\,h(y)
    ⇒  ∫dyh(y)=∫g(x) dx\displaystyle \Rightarrow\; \int \frac{dy}{h(y)} = \int g(x)\,dx
  5. 5.24.5

    Solving First-Order IVPs Using Separation of Variables

    Separate and integrate, then plug in the initial condition to find CC. Use it also to pick the right sign when you take a square root.

    e.g. dydx=xy\frac{dy}{dx} = \frac{x}{y}, y(0)=2y(0) = 2: y22=x22+2\tfrac{y^2}{2} = \tfrac{x^2}{2} + 2, so y=x2+4y = \sqrt{x^2 + 4}

  6. 5.24.6

    Modeling With First-Order ODEs

    Translate the words into a rate equation. "Proportional to" means multiply by a constant kk. Use a negative sign for a quantity that is decreasing.

    e.g. Water drains at a rate proportional to the square root of the depth hh: dhdt=−kh\frac{dh}{dt} = -k\sqrt{h}

    dydt=ky(proportional to y)\displaystyle \frac{dy}{dt} = ky \quad \text{(proportional to } y\text{)}
  7. 5.24.7

    Further Modeling With First-Order ODEs

    In Newton's law of cooling, the rate of temperature change is proportional to the gap between the object and its surroundings. For mixing or flow problems, the net rate is rate in minus rate out.

    e.g. Coffee at 180°F in a 70°F room: dTdt=−k(T−70)\frac{dT}{dt} = -k(T - 70) with k>0k > 0

    dTdt=−k(T−Ts)\displaystyle \frac{dT}{dt} = -k(T - T_s)
    dAdt=rate in−rate out\displaystyle \frac{dA}{dt} = \text{rate in} - \text{rate out}

5.25 Qualitative Techniques for Differential Equations

  1. 5.25.1

    Qualitative Analysis of First-Order ODEs

    Read behavior from dydx\frac{dy}{dx} without solving. Where it is positive, solutions increase; where negative, they decrease. Differentiate dydx\frac{dy}{dx} implicitly to get d2ydx2\frac{d^2y}{dx^2} for concavity.

    e.g. dydx=y(3−y)\frac{dy}{dx} = y(3 - y): solutions increase for 0<y<30 < y < 3 and decrease for y>3y > 3 or y<0y < 0

    dydx>0⇒y increasing\displaystyle \frac{dy}{dx} > 0 \Rightarrow y \text{ increasing}
    d2ydx2>0⇒concave up\displaystyle \frac{d^2y}{dx^2} > 0 \Rightarrow \text{concave up}
  2. 5.25.2

    Equilibrium Solutions of First-Order ODEs

    An equilibrium is a constant solution y=cy = c, where dydx=0\frac{dy}{dx} = 0 for every xx. It is stable if nearby solutions move toward it and unstable if they move away.

    e.g. dydx=y(3−y)\frac{dy}{dx} = y(3 - y): y=0y = 0 is unstable and y=3y = 3 is stable

    dydx=f(y),  f(c)=0\displaystyle \frac{dy}{dx} = f(y),\; f(c) = 0
    ⇒  y=c is an equilibrium\displaystyle \Rightarrow\; y = c \text{ is an equilibrium}

5.26 Modeling Exponential Growth and Decay With Differential Equations

0163248640123456y = 8xy = 2ˣLinear adds:0, 8, 16, 24, 32, 40, 48Exponential multiplies:1, 2, 4, 8, 16, 32, 64Exponential starts behindand still wins.
Equal differences mean linear; equal ratios mean exponential. Any exponential growth eventually passes any linear growth.
  1. 5.26.1

    Exponential Growth and Decay Models With First-Order ODEs

    If the rate is proportional to the amount, the solution is exponential. k>0k > 0 means growth and k<0k < 0 means decay. y0y_0 is the amount at t=0t = 0.

    e.g. dydt=0.05y\frac{dy}{dt} = 0.05y, y(0)=200y(0) = 200: y=200e0.05ty = 200e^{0.05t}

    dydt=ky  ⇒  y=y0ekt\displaystyle \frac{dy}{dt} = ky \;\Rightarrow\; y = y_0 e^{kt}
  2. 5.26.2

    Exponential Growth and Decay Models With First-Order ODEs: Calculating Unknown Times

    Set the model equal to the target amount, divide by y0y_0, and take ln of both sides.

    e.g. 200e0.05t=400⇒t=ln⁡20.05≈13.9200e^{0.05t} = 400 \Rightarrow t = \tfrac{\ln 2}{0.05} \approx 13.9

    y0ekt=y\displaystyle y_0 e^{kt} = y
    ⇒  t=1kln⁡yy0\displaystyle \Rightarrow\; t = \frac1k \ln\frac{y}{y_0}
  3. 5.26.3

    Exponential Growth and Decay Models With First-Order ODEs: Half-Life Problems

    The half-life TT is the time for the amount to halve. It fixes the decay constant kk.

    e.g. 64 g with a 5-day half-life: after 15 days, 64(12)3=864\left(\tfrac12\right)^3 = 8 g

    k=−ln⁡2T\displaystyle k = -\frac{\ln 2}{T}
    y=y0ekt=y0(12)t/T\displaystyle y = y_0 e^{kt} = y_0\left(\tfrac12\right)^{t/T}

5.27 Modeling Logistic Growth With Differential Equations

tP1234567050100L = 100fastest growth at L/2dP/dt = kP(1 − P/L)P(t) = L / (1 + Ae⁻ᵏᵗ)here L = 100, A = 9, k = 1, P(0) = 10L is the carrying capacity.Growth is fastest at P = L/2and slows to zero near L.
Logistic growth starts out nearly exponential, is fastest at half the carrying capacity, and levels off as P approaches L.
  1. 5.27.1

    Logistic Growth Models With First-Order ODEs

    Growth is nearly exponential when PP is small and slows as PP nears the carrying capacity LL. k>0k > 0 is the growth constant. In the form kP(L−P)kP(L - P), LL is still the carrying capacity.

    e.g. dPdt=0.2P(1−P500)\tfrac{dP}{dt} = 0.2P\left(1 - \tfrac{P}{500}\right): L=500L = 500; at P=100P = 100, dPdt=0.2(100)(0.8)=16\tfrac{dP}{dt} = 0.2(100)(0.8) = 16

    dPdt=kP(1−PL)\displaystyle \frac{dP}{dt} = kP\left(1 - \frac{P}{L}\right)
  2. 5.27.2

    Qualitative Analysis of the Logistic Growth Equation

    Equilibria are P=0P = 0 and P=LP = L. For 0<P<L0 < P < L, PP increases; for P>LP > L, it decreases. Either way P→LP \to L. Growth is fastest at P=L2P = \tfrac{L}{2}, where the graph changes from concave up to concave down.

    e.g. dPdt=0.3P(1−P80)\tfrac{dP}{dt} = 0.3P\left(1 - \tfrac{P}{80}\right), P(0)=10P(0) = 10: increases toward 80, growing fastest at P=40P = 40

    lim⁡t→∞P(t)=L(P0>0)\displaystyle \lim_{t \to \infty}P(t) = L \quad (P_0 > 0)
    fastest growth at P=L2\displaystyle \text{fastest growth at } P = \tfrac{L}{2}
  3. 5.27.3

    Solving the Logistic Growth Equation

    Separate variables and use partial fractions, or use the known solution. Find AA from the initial value P0P_0.

    e.g. L=500L = 500, P0=100P_0 = 100, k=0.2k = 0.2: A=4A = 4, P(t)=5001+4e−0.2tP(t) = \tfrac{500}{1 + 4e^{-0.2t}}; P=250P = 250 when t=5ln⁡4≈6.93t = 5\ln 4 \approx 6.93

    P(t)=L1+Ae−kt\displaystyle P(t) = \frac{L}{1 + Ae^{-kt}}
    A=L−P0P0\displaystyle A = \frac{L - P_0}{P_0}

5.28 Slope Fields

xy−3−3−2−2−1−1112233(0, 1)dy/dx = x − yEach dash has slope x − yat its own point.Solution through (0, 1):y = x − 1 + 2e⁻ˣIt follows the dashes andsettles toward y = x − 1.
Each short dash shows the slope the differential equation demands at that point. A solution curve is one that runs along the dashes everywhere it goes.
  1. 5.28.1

    Slope Fields for Directly Integrable Differential Equations

    For dydx=f(x)\frac{dy}{dx} = f(x), the slope depends only on xx. All segments in the same vertical column are parallel, and solution curves are vertical shifts of each other.

    e.g. dydx=2x\frac{dy}{dx} = 2x: slope 00 along x=0x = 0, slope 22 along x=1x = 1; solutions are y=x2+Cy = x^2 + C

  2. 5.28.2

    Slope Fields for Autonomous Differential Equations

    For dydx=f(y)\frac{dy}{dx} = f(y), the slope depends only on yy. All segments in the same horizontal row are parallel, and solution curves are horizontal shifts of each other. Rows where f(y)=0f(y) = 0 are flat.

    e.g. dydx=y−1\frac{dy}{dx} = y - 1: slope 00 along y=1y = 1, slope 11 along y=2y = 2, slope −1-1 along y=0y = 0

  3. 5.28.3

    Slope Fields for Nonautonomous Differential Equations

    For dydx=f(x,y)\frac{dy}{dx} = f(x, y), plug each grid point into ff to get its slope. The curve where f(x,y)=0f(x, y) = 0 has horizontal segments.

    e.g. dydx=x−y\frac{dy}{dx} = x - y: slope 00 at (1,1)(1, 1), 22 at (2,0)(2, 0), −1-1 at (0,1)(0, 1); flat along y=xy = x

  4. 5.28.4

    Analyzing Slope Fields for Directly Integrable Differential Equations

    If segments in each vertical column are parallel, the equation has the form dydx=f(x)\frac{dy}{dx} = f(x). Note where slopes are zero, positive, and negative to identify ff.

    e.g. Slope 00 on the yy-axis, positive for x>0x > 0, negative for x<0x < 0: fits dydx=x\frac{dy}{dx} = x

  5. 5.28.5

    Analyzing Slope Fields for Autonomous Differential Equations

    If segments in each horizontal row are parallel, the equation has the form dydx=f(y)\frac{dy}{dx} = f(y). Flat rows are equilibria. Arrows pointing toward a flat row mark it stable.

    e.g. Flat along y=2y = 2, rising below it, falling above it: fits dydx=2−y\frac{dy}{dx} = 2 - y, and solutions approach y=2y = 2

  6. 5.28.6

    Analyzing Slope Fields for Nonautonomous Differential Equations

    When slopes change in both directions, test a few points in each candidate equation. Look first for the line or curve of zero slopes and the sign of the slope on each side of it.

    e.g. Flat along y=−xy = -x and rising above it: fits dydx=x+y\frac{dy}{dx} = x + y

5.29 Numerical Solutions of Differential Equations

xy00.511.512345y = eˣ(0, 1)(0.5, 1.5)(1, 2.25)(1.5, 3.375)dy/dx = y, y(0) = 1step h = 0.5yₙ₊₁ = yₙ + h·f(xₙ, yₙ)Here each step multiplies y by 1.5.Euler at x = 1.5: 3.375true value e¹·⁵ ≈ 4.48A smaller step h shrinks the error.
Euler's method walks along the tangent line for one step, recomputes the slope, and repeats. On a curve that bends upward like eˣ, each step falls a little further below the true solution.
  1. 5.29.1

    Euler's Method: Calculating One Step

    Approximate the solution of dydx=f(x,y)\tfrac{dy}{dx} = f(x, y) by following the tangent line for one step of size hh.

    e.g. dydx=x+y\tfrac{dy}{dx} = x + y, y(0)=1y(0) = 1, h=0.1h = 0.1: y(0.1)≈1+0.1(0+1)=1.1y(0.1) \approx 1 + 0.1(0 + 1) = 1.1

    x1=x0+h\displaystyle x_1 = x_0 + h
    y1=y0+h f(x0,y0)\displaystyle y_1 = y_0 + h\,f(x_0, y_0)
  2. 5.29.2

    Euler's Method: Calculating Multiple Steps

    Repeat the one-step rule, using each new point to compute the next slope. Smaller hh gives better accuracy. If the solution is concave up, Euler underestimates; if concave down, it overestimates.

    e.g. dydx=y\tfrac{dy}{dx} = y, y(0)=1y(0) = 1, h=0.5h = 0.5: y(0.5)≈1.5y(0.5) \approx 1.5, y(1)≈1.5+0.5(1.5)=2.25y(1) \approx 1.5 + 0.5(1.5) = 2.25 (true value e≈2.718e \approx 2.718)

    yn+1=yn+h f(xn,yn)\displaystyle y_{n+1} = y_n + h\,f(x_n, y_n)
    xn+1=xn+h\displaystyle x_{n+1} = x_n + h

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