AP Calculus Formulas

AP Calculus Formulas

Limits:

  • Limit Definition: \( \lim_{{x \to c}} f(x) \)

  • Sum/Difference Rule: \( \lim_{{x \to c}} [f(x) \pm g(x)] = \lim_{{x \to c}} f(x) \pm \lim_{{x \to c}} g(x) \)

  • Product Rule: \( \lim_{{x \to c}} [f(x) \cdot g(x)] = \lim_{{x \to c}} f(x) \cdot \lim_{{x \to c}} g(x) \)

  • Quotient Rule: \( \lim_{{x \to c}} \frac{{f(x)}}{{g(x)}} = \frac{{\lim_{{x \to c}} f(x)}}{{\lim_{{x \to c}} g(x)}} \) (if \( \lim_{{x \to c}} g(x) \neq 0 \))

Continuity:

  • Definition of Continuity: A function \( f(x) \) is continuous at a point \( c \) if \( \lim_{{x \to c}} f(x) \) exists and equals \( f(c) \).
  • Types of Discontinuity: Removable, Jump, Infinite, Essential.
  • Intermediate Value Theorem: If \( f(x) \) is continuous on \([a, b]\) and \( k \) is between \( f(a) \) and \( f(b) \), then there exists \( c \) in \((a, b)\) such that \( f(c) = k \).

\( f(x) = x^2 + 3x + 2 \)
AP Calculus Differentiation Formulas

AP Calculus Differentiation Formulas

Differentiation Formulas:

  • Derivative Definition: \( \frac{{d}}{{dx}} [f(x)] = f'(x) \) or \( \frac{{df}}{{dx}} \)

  • Constant Rule: \( \frac{{d}}{{dx}} [c] = 0 \) (where \( c \) is a constant)

  • Power Rule: \( \frac{{d}}{{dx}} [x^n] = nx^{n-1} \) (where \( n \) is any real number)

  • Sum/Difference Rule: \( \frac{{d}}{{dx}} [f(x) \pm g(x)] = \frac{{df}}{{dx}} \pm \frac{{dg}}{{dx}} \)

  • Product Rule: \( \frac{{d}}{{dx}} [f(x) \cdot g(x)] = f'(x) \cdot g(x) + f(x) \cdot g'(x) \)

  • Quotient Rule: \( \frac{{d}}{{dx}} \left[\frac{{f(x)}}{{g(x)}}\right] = \frac{{f'(x) \cdot g(x) - f(x) \cdot g'(x)}}{{[g(x)]^2}} \) (where \( g(x) \neq 0 \))

  • Chain Rule: If \( y = f(u) \) and \( u = g(x) \), then \( \frac{{dy}}{{dx}} = \frac{{dy}}{{du}} \cdot \frac{{du}}{{dx}} \)

  • Derivative of Sine: \( \frac{{d}}{{dx}} [\sin(x)] = \cos(x) \)

  • Derivative of Cosine: \( \frac{{d}}{{dx}} [\cos(x)] = -\sin(x) \)

  • Derivative of Tangent: \( \frac{{d}}{{dx}} [\tan(x)] = \sec^2(x) \)

  • Derivative of Exponential: \( \frac{{d}}{{dx}} [e^x] = e^x \)

  • Derivative of Natural Logarithm: \( \frac{{d}}{{dx}} [\ln(x)] = \frac{1}{x} \)

  • Derivative of Arcsine: \( \frac{{d}}{{dx}} [\arcsin(x)] = \frac{1}{{\sqrt{1 - x^2}}} \) (for \( |x| < 1 \))

  • Derivative of Arccosine: \( \frac{{d}}{{dx}} [\arccos(x)] = -\frac{1}{{\sqrt{1 - x^2}}} \) (for \( |x| < 1 \))

  • Derivative of Arctangent: \( \frac{{d}}{{dx}} [\arctan(x)] = \frac{1}{{1 + x^2}} \)

AP Calculus Integration Formulas

AP Calculus Integration Formulas

Integration Formulas:

  • Indefinite Integral: \( \int f(x) \, dx \) (Represents the antiderivative of \( f(x) \))

  • Constant Multiple Rule: \( \int cf(x) \, dx = c \int f(x) \, dx \) (where \( c \) is a constant)

  • Power Rule: \( \int x^n \, dx = \frac{{x^{n+1}}}{{n+1}} + C \) (where \( n \) is not equal to -1)

  • Sum/Difference Rule: \( \int [f(x) \pm g(x)] \, dx = \int f(x) \, dx \pm \int g(x) \, dx \)

  • Integration by Substitution: \( \int f(g(x)) \cdot g'(x) \, dx = \int f(u) \, du \) (where \( u = g(x) \))

  • Integration by Parts: \( \int u \, dv = uv - \int v \, du \)

  • Trigonometric Integrals:
    • Integral of Sine: \( \int \sin(x) \, dx = -\cos(x) + C \)

    • Integral of Cosine: \( \int \cos(x) \, dx = \sin(x) + C \)

    • Integral of Secant Squared: \( \int \sec^2(x) \, dx = \tan(x) + C \)

  • Exponential and Logarithmic Integrals:
    • Integral of Exponential: \( \int e^x \, dx = e^x + C \)

    • Integral of Natural Logarithm: \( \int \ln(x) \, dx = x \ln(x) - x + C \) (where \( x > 0 \))

Common Differential Equations

Common Differential Equations

Differential Equations:

  • First-Order Linear Differential Equation: \( \frac{{dy}}{{dx}} + P(x)y = Q(x) \)
    Solution: \( y = e^{-\int P(x) \, dx} \left( \int Q(x) e^{\int P(x) \, dx} \, dx + C \right) \)

  • Separable Differential Equation: \( \frac{{dy}}{{dx}} = f(x)g(y) \)
    Solution: \( \int \frac{{dy}}{{g(y)}} = \int f(x) \, dx + C \)

  • Second-Order Linear Homogeneous Differential Equation: \( a\frac{{d^2y}}{{dx^2}} + b\frac{{dy}}{{dx}} + cy = 0 \)
    Solution: \( y = e^{rx} \) where \( r \) is a solution to the characteristic equation \( ar^2 + br + c = 0 \)

  • Second-Order Linear Non-Homogeneous Differential Equation: \( a\frac{{d^2y}}{{dx^2}} + b\frac{{dy}}{{dx}} + cy = f(x) \)
    Solution: \( y = y_h + y_p \) where \( y_h \) is the solution to the associated homogeneous equation and \( y_p \) is a particular solution.

  • Exact Differential Equation: \( M(x, y) \, dx + N(x, y) \, dy = 0 \)
    Solution: If \( \frac{{\partial M}}{{\partial y}} = \frac{{\partial N}}{{\partial x}} \), then the solution is given by \( \int M(x, y) \, dx + \int [N(x, y) - \frac{{\partial}} {{\partial y}} \int M(x, y) \, dx] \, dy = C \)

  • Riccati Differential Equation: \( \frac{{dy}}{{dx}} = f(x) + g(x)y + h(x)y^2 \)
    Solution: If \( y_1 \) is a known solution, then a particular solution is given by \( y = y_1 + \frac{{v'(x)}}{{v(x)}} \), where \( v(x) \) satisfies a linear second-order differential equation.

Additional Differential Equations
  • Bernoulli Differential Equation: \( \frac{{dy}}{{dx}} + P(x)y = Q(x)y^n \)

  • Homogeneous Differential Equation: \( \frac{{dy}}{{dx}} = \frac{{f(ax+by)}}{{f(x)}} \)

  • Nonlinear Differential Equations:
    • First-order: \( \frac{{dy}}{{dx}} = f(x, y) \)
    • Second-order: \( \frac{{d^2y}}{{dx^2}} = f(x, y, \frac{{dy}}{{dx}}) \)
    Higher-order equations involve derivatives of higher orders.

  • Systems of Differential Equations: \[ \frac{{dx}}{{dt}} = f(x, y) \] \[ \frac{{dy}}{{dt}} = g(x, y) \]

  • Boundary Value Problems: Differential equations with boundary conditions specified at more than one point.

  • Partial Differential Equations (PDEs): Equations involving partial derivatives with respect to multiple variables. Examples include the heat equation, wave equation, and Laplace's equation.

  • Green's Functions: Used to solve inhomogeneous differential equations by representing the response to a delta function input.

Applications of Integration

Applications of Integration

  • Area Under a Curve: \( \int_{a}^{b} f(x) \, dx \) represents the area bounded by the curve \( y = f(x) \), the x-axis, and the lines \( x = a \) and \( x = b \).

  • Volume of Revolution: \( V = \pi \int_{a}^{b} [f(x)]^2 \, dx \) represents the volume of the solid generated by revolving the curve \( y = f(x) \) about the x-axis between \( x = a \) and \( x = b \).

  • Arc Length: \( L = \int_{a}^{b} \sqrt{1 + [f'(x)]^2} \, dx \) represents the length of the curve \( y = f(x) \) between \( x = a \) and \( x = b \).

  • Surface Area of Revolution: \( A = 2\pi \int_{a}^{b} f(x) \sqrt{1 + [f'(x)]^2} \, dx \) represents the surface area of the solid generated by revolving the curve \( y = f(x) \) about the x-axis between \( x = a \) and \( x = b \).

  • Work: \( W = \int_{a}^{b} F(x) \, dx \) represents the work done by a force \( F(x) \) moving an object along the x-axis from \( x = a \) to \( x = b \).

  • Center of Mass: \( x_{\text{cm}} = \frac{{\int_{a}^{b} x \cdot w(x) \, dx}}{{\int_{a}^{b} w(x) \, dx}} \) represents the x-coordinate of the center of mass of a one-dimensional object with variable density \( w(x) \) between \( x = a \) and \( x = b \).

  • Probability: \( P(a \leq X \leq b) = \int_{a}^{b} f(x) \, dx \) represents the probability that a continuous random variable \( X \) lies between \( a \) and \( b \).

  • Electric Charge: \( Q = \int_S \rho(x, y, z) \, dV \) represents the total electric charge contained within a three-dimensional region \( S \) with charge density \( \rho(x, y, z) \).

Infinite Sequences and Series

Infinite Sequences and Series

Infinite Sequences:

  • An infinite sequence is a list of numbers written in a definite order: \( a_1, a_2, a_3, \ldots, a_n, \ldots \)

  • The \(n\)th term of the sequence is denoted as \(a_n\).

  • A sequence can be defined explicitly by a formula, recursively, or by some other rule.

Infinite Series:

  • An infinite series is the sum of the terms of an infinite sequence: \( \sum_{n=1}^{\infty} a_n = a_1 + a_2 + a_3 + \ldots + a_n + \ldots \)

  • The sum of the first \(n\) terms of the series is denoted as \(S_n\).

  • If the sequence of partial sums \(S_1, S_2, S_3, \ldots, S_n, \ldots\) converges to a finite number \(S\), the series is said to converge, and \(S\) is called the sum of the series.

  • If the sequence of partial sums does not converge, the series is said to diverge.

  • Common types of series include arithmetic series, geometric series, telescoping series, and power series.

Parametric Equations and Polar Coordinates

Parametric Equations and Polar Coordinates

Parametric Equations:

  • Parametric equations are a set of equations that express a set of quantities as explicit functions of a number of independent variables, known as parameters.

  • Parametric equations are often used to describe curves and paths in the plane or space.

  • A parametric curve is defined by two functions \( x = f(t) \) and \( y = g(t) \), where \( t \) is the parameter.

  • The coordinates \( (x, y) \) of points on the curve are determined by plugging values of \( t \) into the parametric equations.

  • Velocity and Acceleration: Given parametric equations \( x = f(t) \) and \( y = g(t) \), the velocity vector \( \mathbf{v} = \left[\frac{{dx}}{{dt}}, \frac{{dy}}{{dt}}\right] \) and acceleration vector \( \mathbf{a} = \left[\frac{{d^2x}}{{dt^2}}, \frac{{d^2y}}{{dt^2}}\right] \) can be calculated by differentiating the position functions with respect to time.

  • Arc Length: The arc length of a curve defined by parametric equations \( x = f(t) \) and \( y = g(t) \) over the interval \( [a, b] \) is given by: \[ L = \int_{a}^{b} \sqrt{\left(\frac{{dx}}{{dt}}\right)^2 + \left(\frac{{dy}}{{dt}}\right)^2} \, dt \]

  • Surface Area of Revolution: The surface area generated by revolving the curve defined by parametric equations \( x = f(t) \) and \( y = g(t) \) about the x-axis or y-axis can be calculated using appropriate integration formulas.

Polar Coordinates:

  • Polar coordinates are a system of coordinates used to locate a point in a plane by its distance from a fixed point (the pole) and the angle from a fixed direction (the polar axis or polar angle).

  • A point in the plane is represented by the polar coordinates \( (r, \theta) \), where \( r \) is the distance from the pole and \( \theta \) is the angle measured counterclockwise from the polar axis.

  • Converting between polar and rectangular coordinates: \[ x = r \cos(\theta) \] \[ y = r \sin(\theta) \]

  • Common shapes described by polar coordinates include circles, cardioids, limaçons, and roses.

  • Area in Polar Coordinates: The area enclosed by a curve described in polar coordinates is given by: \[ A = \frac{1}{2} \int_{\alpha}^{\beta} [f(\theta)]^2 \, d\theta \] where \( \alpha \) and \( \beta \) are the angles corresponding to the starting and ending points of the curve.

  • Arc Length: The arc length of a curve defined in polar coordinates \( r = f(\theta) \) over the interval \( [\alpha, \beta] \) is given by: \[ L = \int_{\alpha}^{\beta} \sqrt{[f'(\theta)]^2 + [f(\theta)]^2} \, d\theta \]

Vectors and the Geometry of Space

Vectors and the Geometry of Space

Vectors:

  • A vector is a mathematical object that has both magnitude and direction.

  • In three-dimensional space, a vector is often represented as an ordered triple \( \mathbf{v} = \langle a, b, c \rangle \).

  • Vector Addition: \( \mathbf{v} + \mathbf{w} = \langle v_1 + w_1, v_2 + w_2, v_3 + w_3 \rangle \)

  • Scalar Multiplication: \( c\mathbf{v} = \langle cv_1, cv_2, cv_3 \rangle \) where \( c \) is a scalar.

  • Dot Product: \( \mathbf{v} \cdot \mathbf{w} = v_1w_1 + v_2w_2 + v_3w_3 \)

  • Cross Product: \( \mathbf{v} \times \mathbf{w} = \langle v_2w_3 - v_3w_2, v_3w_1 - v_1w_3, v_1w_2 - v_2w_1 \rangle \)

Geometry of Space:

  • Lines and Planes: Equations of lines and planes can be expressed in vector form using a point on the line/plane and a direction vector.

  • Distance Formula: The distance \( d \) between two points \( P(x_1, y_1, z_1) \) and \( Q(x_2, y_2, z_2) \) in space is given by: \[ d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2} \]

  • Midpoint Formula: The midpoint \( M \) of the line segment joining two points \( P(x_1, y_1, z_1) \) and \( Q(x_2, y_2, z_2) \) is given by: \[ M\left(\frac{{x_1 + x_2}}{2}, \frac{{y_1 + y_2}}{2}, \frac{{z_1 + z_2}}{2}\right) \]

  • Equation of a Sphere: The equation of a sphere with center \( (h, k, l) \) and radius \( r \) is given by: \[ (x - h)^2 + (y - k)^2 + (z - l)^2 = r^2 \]

Vector-Valued Functions

Vector-Valued Functions

Definition:

  • A vector-valued function, also known as a vector function, maps each value of a parameter to a corresponding vector.

  • For example, a vector-valued function in two dimensions can be written as \( \mathbf{r}(t) = \langle f(t), g(t) \rangle \).

  • In three dimensions, it can be written as \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \).

Properties:

  • Vector Addition: If \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \) and \( \mathbf{s}(t) = \langle p(t), q(t), r(t) \rangle \) are vector-valued functions, then \( \mathbf{r}(t) + \mathbf{s}(t) = \langle f(t) + p(t), g(t) + q(t), h(t) + r(t) \rangle \).

  • Scalar Multiplication: If \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \) is a vector-valued function and \( c \) is a scalar, then \( c\mathbf{r}(t) = \langle cf(t), cg(t), ch(t) \rangle \).

Additional Formulas:

  • Differentiation: If \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \) is a vector-valued function, then the derivative \( \mathbf{r}'(t) \) is given by: \[ \mathbf{r}'(t) = \langle f'(t), g'(t), h'(t) \rangle \]

  • Arc Length: The arc length of a curve defined by a vector-valued function \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \) over the interval \( [a, b] \) is given by: \[ L = \int_{a}^{b} |\mathbf{r}'(t)| \, dt = \int_{a}^{b} \sqrt{(f'(t))^2 + (g'(t))^2 + (h'(t))^2} \, dt \]

  • Curvature: The curvature \( \kappa \) of a curve defined by a vector-valued function \( \mathbf{r}(t) = \langle f(t), g(t), h(t) \rangle \) is given by: \[ \kappa = \frac{|\mathbf{r}'(t) \times \mathbf{r}''(t)|}{|\mathbf{r}'(t)|^3} \]

  • Tangent, Normal, and Binormal Vectors: Given a curve defined by \( \mathbf{r}(t) \), the tangent vector \( \mathbf{T} \), normal vector \( \mathbf{N} \), and binormal vector \( \mathbf{B} \) are defined as follows: \[ \mathbf{T} = \frac{\mathbf{r}'(t)}{|\mathbf{r}'(t)|} \] \[ \mathbf{N} = \frac{\mathbf{T}'(t)}{|\mathbf{T}'(t)|} \] \[ \mathbf{B} = \mathbf{T} \times \mathbf{N} \]

Applications:

  • Vector-valued functions are often used to describe the path of a particle in space.

  • They are also used in physics to represent quantities such as velocity and acceleration, which are vector quantities.

  • Vector calculus involves operations and concepts related to vector-valued functions, such as differentiation, integration, and line integrals.

Integration Techniques and Applications

Integration Techniques and Applications

Integration Techniques:

  • Integration by Parts: \( \int u \, dv = uv - \int v \, du \)

  • Trigonometric Integrals: Various trigonometric identities are used to simplify integrals involving trigonometric functions.

  • Integration by Substitution: \( \int f(g(x)) \cdot g'(x) \, dx = \int f(u) \, du \), where \( u = g(x) \).

  • Partial Fraction Decomposition: Used to decompose a rational function into simpler fractions for easier integration.

  • Improper Integrals: Integrals where the limits of integration are infinite or the function has an infinite discontinuity.

  • Integration by Partial Fractions: Used to decompose rational functions into simpler fractions for easier integration.

  • Trigonometric Substitution: Used to simplify integrals involving radicals of trigonometric functions.

Applications of Integration:

  • Area Under a Curve: Integration is used to find the area enclosed by curves in the plane.

  • Volume of Solids of Revolution: Integration can determine the volume of a solid obtained by revolving a region about an axis.

  • Work and Fluid Forces: Integration is used to calculate work done by a force and fluid forces on submerged surfaces.

  • Center of Mass and Moments of Inertia: Integration helps in finding the center of mass and moments of inertia of objects.

  • Probability and Statistics: Integration is used to compute probabilities and expected values in probability theory and statistics.

  • Arc Length: Integration is used to find the length of a curve defined by a function \(y = f(x)\) over an interval \([a, b]\): \[ L = \int_{a}^{b} \sqrt{1 + (f'(x))^2} \, dx \]

  • Surface Area of Revolution: Integration can find the surface area generated by revolving a curve around the x-axis or y-axis.

  • Center of Mass: Integration helps determine the center of mass of an object by considering the distribution of mass.

  • Moments of Inertia: Integration is used to calculate moments of inertia, which quantify an object's resistance to rotational motion.

  • Electric Charge and Flux: In physics, integration is used to calculate electric charge distribution and electric flux through surfaces.

  • Heat Transfer and Thermodynamics: Integration is applied to solve problems related to heat transfer, such as finding the amount of heat transferred or temperature distribution.

Taylor and Maclaurin Series

Taylor and Maclaurin Series

Taylor Series:

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

  • It represents the function as an infinite sum of terms involving derivatives of \( f(x) \) evaluated at \( x = a \).

  • The Taylor series provides an approximation of the function around the point \( x = a \).

Maclaurin Series:

  • The Maclaurin series is a special case of the Taylor series, where \( a = 0 \).

  • For a function \( f(x) \), its Maclaurin series is given by: \[ f(x) = \sum_{n=0}^{\infty} \frac{{f^{(n)}(0)}}{{n!}} x^n \]

  • It represents the function as an infinite sum of terms involving derivatives of \( f(x) \) evaluated at \( x = 0 \).

  • Many common functions have well-known Maclaurin series expansions, such as \( e^x \), \( \sin(x) \), \( \cos(x) \), and \( \ln(1 + x) \).