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Vector-valued function
function mapping real inputs to vector outputs
Level curve
curve where a function f(x, y) = c is constant
Gradient vector
vector of all partial derivatives of a scalar function
Directional derivative
rate of change of a function in a specific direction
Vector-valued function
function mapping real inputs to vector outputs
Level curve
curve where a function f(x, y) = c is constant
Gradient vector
vector of all partial derivatives of a scalar function
Directional derivative
rate of change of a function in a specific direction
Divergence
scalar measure of a vector field's outward flow \nabla \cdot F
Curl
vector measure of rotation \nabla \times F in a field
Chain rule
derivative of a composite function using partial derivatives
Jacobian matrix
matrix of first-order partial derivatives of a vector function
Second partial derivative test
method to classify critical points using D = f{xx} f{yy} - f_{xy}^2
Local minimum condition
D > 0, f_{xx} > 0
Local maximum condition
D > 0, f_{xx} < 0
Saddle point condition
D < 0
Equation of a plane
a(x - x0) + b(y - y0) + c(z - z_0) = 0
Tangent plane
linear approximation to surface at a point using partial derivatives
Total differential
approximation: dz = fx dx + fy dy
Scalar field
function assigning a scalar to each point in space
Vector field
function assigning a vector to each point in space
Line integral (scalar)
\int_C f(x, y) ds, integration over arc length
Line integral (vector)
\int_C F \cdot dr, work done by a field
Surface integral (scalar)
\iint_S f(x, y, z) dS, sum over a surface
Surface integral (vector)
\iint_S F \cdot dS, flux through a surface
Green
’s Theorem
relates line integral around a curve to a double integral over the region
Stokes’ Theorem
relates line integral to surface integral of the curl
Divergence Theorem
relates flux over closed surface to triple integral of divergence
Line equation in space
r(t) = r_0 + tv
Dot product
scalar product: a \cdot b = |a||b|\cos\theta
Cross product
vector perpendicular to both input vectors
Volume under a surface
\iint_R f(x, y) dA
Triple integral (Cartesian)
\iiint_E f(x, y, z) dV
Cylindrical coordinates
x = r \cos\theta, y = r \sin\theta, z = z
Spherical coordinates
x = \rho \sin\phi \cos\theta, y = \rho \sin\phi \sin\theta, z = \rho \cos\phi
Jacobian (polar)
r
Jacobian (spherical)
\rho^2 \sin\phi
Conservative vector field
vector field that equals gradient of a scalar function
Test for conservativeness
\nabla \times F = 0
Path independence
property of conservative fields where integral depends only on endpoints
Taylor expansion (2 variables)
polynomial approximation of multivariable function
Lagrange multipliers
method to optimize a function with constraints using \nabla f = \lambda\nabla g
Implicit function theorem
conditions under which one variable can be solved in terms of others
Change of variables
method using substitution and Jacobian determinant
Tangent vector to curve
derivative r'(t)
Normal vector to surface
cross product of two tangent vectors
Arc length formula
\int_a^b |r'(t)| dt
Unit tangent vector
normalized derivative T(t) = r'(t)/|r'(t)|
Curvature
rate of change of the unit tangent vector with respect to arc length
Torsion
measure of how a curve twists out of its plane
Triple integral (cylindrical)
\iiint_E f(r, \theta, z) r dz dr d\theta
Triple integral
\iiint_E f(\rho, \phi, \theta) \rho^2 \sin\phi d\rho d\phi d\theta