BC Calculus: Things to Memorize

Basic Derivative and Integral Formulas

  • Essential for solving a wide range of calculus problems.

Differentiation Techniques

  • Product Rule: Used to differentiate the product of two functions.
    • If h(x)=f(x)g(x)h(x) = f(x)g(x), then h(x)=f(x)g(x)+f(x)g(x)h'(x) = f'(x)g(x) + f(x)g'(x).
  • Quotient Rule: Used to differentiate the quotient of two functions.
    • If h(x)=f(x)g(x)h(x) = \frac{f(x)}{g(x)}, then h(x)=f(x)g(x)f(x)g(x)[g(x)]2h'(x) = \frac{f'(x)g(x) - f(x)g'(x)}{[g(x)]^2}.
  • Chain Rule: Used to differentiate composite functions.
    • If h(x)=f(g(x))h(x) = f(g(x)), then h(x)=f(g(x))g(x)h'(x) = f'(g(x))g'(x).

Integration Techniques

  • Substitution (u-substitution): Simplifies integrals by changing the variable.
  • Integration by Parts: Used to integrate the product of two functions.
    • udv=uvvdu\int u dv = uv - \int v du
  • Partial Fractions: Decomposes rational functions into simpler fractions for easier integration.

Mean Value Theorem

  • States that if a function ff is continuous on the closed interval [a,b][a, b] and differentiable on the open interval (a,b)(a, b), then there exists at least one point cc in (a,b)(a, b) such that f(c)=f(b)f(a)baf'(c) = \frac{f(b) - f(a)}{b - a}.

Intermediate Value Theorem

  • States that if ff is a continuous function on the closed interval [a,b][a, b], and kk is any number between f(a)f(a) and f(b)f(b), then there exists at least one number cc in the interval [a,b][a, b] such that f(c)=kf(c) = k.

Fundamental Theorem of Calculus

  • Part 1: If ff is a continuous function on [a,x][a, x], then the derivative of the integral from aa to xx of f(t)dtf(t) dt is f(x)f(x).
    • ddxaxf(t)dt=f(x)\frac{d}{dx} \int_a^x f(t) dt = f(x)
  • Part 2: The definite integral of f(x)f(x) from aa to bb is the difference of the antiderivative F(x)F(x) evaluated at bb and aa.
    • abf(x)dx=F(b)F(a)\int_a^b f(x) dx = F(b) - F(a)

L'Hopital's Rule

  • Used to evaluate limits of indeterminate forms (e.g., 00\frac{0}{0} or \frac{\infty}{\infty}).
  • If lim<em>xcf(x)g(x)\lim<em>{x \to c} \frac{f(x)}{g(x)} is of the form 00\frac{0}{0} or \frac{\infty}{\infty}, then lim</em>xcf(x)g(x)=limxcf(x)g(x)\lim</em>{x \to c} \frac{f(x)}{g(x)} = \lim_{x \to c} \frac{f'(x)}{g'(x)}, provided the limit exists.

Indeterminate Forms

  • Common indeterminate forms include 00\frac{0}{0}, \frac{\infty}{\infty}, 00 \cdot \infty, \infty - \infty, 11^\infty, 000^0, and 0\infty^0.
  • Techniques to handle: L'Hopital's Rule, algebraic manipulation, and rewriting expressions.

Rectangular Approximation and Trapezoidal Rule

  • Rectangular Approximation (Riemann Sum): Approximates the area under a curve using rectangles.
  • Trapezoidal Rule: Approximates the area under a curve using trapezoids.
    • <em>abf(x)dxΔx2[f(x</em>0)+2f(x<em>1)+2f(x</em>2)++2f(x<em>n1)+f(x</em>n)]\int<em>a^b f(x) dx \approx \frac{\Delta x}{2} [f(x</em>0) + 2f(x<em>1) + 2f(x</em>2) + \dots + 2f(x<em>{n-1}) + f(x</em>n)] where Δx=ban\Delta x = \frac{b-a}{n}

Volume Formulas

  • Disk Method: Used to find the volume of a solid of revolution when the slices are perpendicular to the axis of rotation and form disks.
    • V=πab[r(x)]2dxV = \pi \int_a^b [r(x)]^2 dx
  • Washer Method: Similar to the disk method but used when there is a hole in the solid.
    • V=πab([R(x)]2[r(x)]2)dxV = \pi \int_a^b ([R(x)]^2 - [r(x)]^2) dx
  • Shell Method: Used when the slices are parallel to the axis of rotation.
    • V=2πabr(x)h(x)dxV = 2\pi \int_a^b r(x)h(x) dx

Average Value Formula

  • The average value of a function f(x)f(x) on the interval [a,b][a, b] is given by:
    • f<em>avg=1ba</em>abf(x)dxf<em>{avg} = \frac{1}{b-a} \int</em>a^b f(x) dx

Euler's Method

  • A numerical method for approximating the solution of a differential equation.
  • Given dydx=f(x,y)\frac{dy}{dx} = f(x, y) and an initial condition y(x<em>0)=y</em>0y(x<em>0) = y</em>0, the approximation is:
    • y<em>i+1=y</em>i+f(x<em>i,y</em>i)Δxy<em>{i+1} = y</em>i + f(x<em>i, y</em>i) \Delta x

Differential Forms of Exponential and Logarithmic Functions

  • ddx(ex)=ex\frac{d}{dx}(e^x) = e^x
  • ddx(ax)=axln(a)\frac{d}{dx}(a^x) = a^x \ln(a)
  • ddx(lnx)=1x\frac{d}{dx}(\ln x) = \frac{1}{x}
  • ddx(logax)=1xln(a)\frac{d}{dx}(\log_a x) = \frac{1}{x \ln(a)}

Sum of a Geometric Series

  • The sum of an infinite geometric series is given by:
    • S=a1rS = \frac{a}{1 - r}, where aa is the first term and rr is the common ratio, and |r| < 1 for convergence.

Convergence/Divergence Tests

  • nth Term Test (Divergence Test): If lim<em>na</em>n0\lim<em>{n \to \infty} a</em>n \neq 0, then the series an\sum a_n diverges.
  • Geometric Series Test: A geometric series arn\sum ar^n converges if |r| < 1 and diverges if r1|r| \geq 1.
  • Alternating Series Test: If an alternating series satisfies the conditions that the absolute value of the terms decreases monotonically and the limit of the terms is zero, then the series converges.
  • Integral Test: If f(x)f(x) is a positive, continuous, and decreasing function on [1,)[1, \infty), then the series <em>n=1f(n)\sum<em>{n=1}^\infty f(n) and the integral </em>1f(x)dx\int</em>1^\infty f(x) dx either both converge or both diverge.
  • Ratio Test: Let L=lim<em>na</em>n+1anL = \lim<em>{n \to \infty} |\frac{a</em>{n+1}}{a_n}|; if L<1L < 1, the series converges; if L>1L > 1, the series diverges; if L=1L = 1, the test is inconclusive.
  • Direct Comparison Test: Compare the given series with a known convergent or divergent series.
  • Limit Comparison Test: If lim<em>na</em>nb<em>n=c\lim<em>{n \to \infty} \frac{a</em>n}{b<em>n} = c where cc is a finite and positive number, then a</em>n\sum a</em>n and bn\sum b_n either both converge or both diverge.

Taylor Series Centered at x=ax = a

  • The Taylor series of a function f(x)f(x) centered at x=ax = a is given by:
    • n=0f(n)(a)n!(xa)n\sum_{n=0}^\infty \frac{f^{(n)}(a)}{n!}(x - a)^n

Lagrange Error Bound for Taylor Polynomials

  • The error in approximating f(x)f(x) by its nth degree Taylor polynomial Pn(x)P_n(x) is bounded by:
    • Rn(x)M(n+1)!xan+1|R_n(x)| \leq \frac{M}{(n+1)!}|x - a|^{n+1}, where MM is the maximum value of f(n+1)(z)|f^{(n+1)}(z)| on the interval between aa and xx.

Building Block Maclaurin Series

  • ex=n=0xnn!=1+x+x22!+x33!+e^x = \sum_{n=0}^\infty \frac{x^n}{n!} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \dots
  • sinx=n=0(1)nx2n+1(2n+1)!=xx33!+x55!x77!+\sin x = \sum_{n=0}^\infty \frac{(-1)^n x^{2n+1}}{(2n+1)!} = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!} + \dots
  • cosx=n=0(1)nx2n(2n)!=1x22!+x44!x66!+\cos x = \sum_{n=0}^\infty \frac{(-1)^n x^{2n}}{(2n)!} = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!} + \dots

Arc Length

  • For rectangular functions: If y=f(x)y = f(x) on [a,b][a, b], then the arc length is:
    • L=ab1+(dydx)2dxL = \int_a^b \sqrt{1 + (\frac{dy}{dx})^2} dx
  • For parametric functions: If x=f(t)x = f(t) and y=g(t)y = g(t) on [a,b][a, b], then the arc length is:
    • L=ab(dxdt)2+(dydt)2dtL = \int_a^b \sqrt{(\frac{dx}{dt})^2 + (\frac{dy}{dt})^2} dt