multivariable calc

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52 Terms

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Vector-valued function

function mapping real inputs to vector outputs

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Level curve

curve where a function f(x, y) = c is constant

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Gradient vector

vector of all partial derivatives of a scalar function

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Directional derivative

rate of change of a function in a specific direction

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Vector-valued function

function mapping real inputs to vector outputs

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Level curve

curve where a function f(x, y) = c is constant

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Gradient vector

vector of all partial derivatives of a scalar function

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Directional derivative

rate of change of a function in a specific direction

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Divergence

scalar measure of a vector field's outward flow \nabla \cdot F

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Curl

vector measure of rotation \nabla \times F in a field

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Chain rule

derivative of a composite function using partial derivatives

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Jacobian matrix

matrix of first-order partial derivatives of a vector function

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Second partial derivative test

method to classify critical points using D = f{xx} f{yy} - f_{xy}^2

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Local minimum condition

D > 0, f_{xx} > 0

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Local maximum condition

D > 0, f_{xx} < 0

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Saddle point condition

D < 0

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Equation of a plane

a(x - x0) + b(y - y0) + c(z - z_0) = 0

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Tangent plane

linear approximation to surface at a point using partial derivatives

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Total differential

approximation: dz = fx dx + fy dy

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Scalar field

function assigning a scalar to each point in space

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Vector field

function assigning a vector to each point in space

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Line integral (scalar)

\int_C f(x, y) ds, integration over arc length

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Line integral (vector)

\int_C F \cdot dr, work done by a field

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Surface integral (scalar)

\iint_S f(x, y, z) dS, sum over a surface

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Surface integral (vector)

\iint_S F \cdot dS, flux through a surface

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Green

’s Theorem

relates line integral around a curve to a double integral over the region

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Stokes’ Theorem

relates line integral to surface integral of the curl

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Divergence Theorem

relates flux over closed surface to triple integral of divergence

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Line equation in space

r(t) = r_0 + tv

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Dot product

scalar product: a \cdot b = |a||b|\cos\theta

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Cross product

vector perpendicular to both input vectors

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Volume under a surface

\iint_R f(x, y) dA

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Triple integral (Cartesian)

\iiint_E f(x, y, z) dV

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Cylindrical coordinates

x = r \cos\theta, y = r \sin\theta, z = z

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Spherical coordinates

x = \rho \sin\phi \cos\theta, y = \rho \sin\phi \sin\theta, z = \rho \cos\phi

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Jacobian (polar)

r

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Jacobian (spherical)

\rho^2 \sin\phi

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Conservative vector field

vector field that equals gradient of a scalar function

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Test for conservativeness

\nabla \times F = 0

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Path independence

property of conservative fields where integral depends only on endpoints

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Taylor expansion (2 variables)

polynomial approximation of multivariable function

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Lagrange multipliers

method to optimize a function with constraints using \nabla f = \lambda\nabla g

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Implicit function theorem

conditions under which one variable can be solved in terms of others

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Change of variables

method using substitution and Jacobian determinant

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Tangent vector to curve

derivative r'(t)

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Normal vector to surface

cross product of two tangent vectors

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Arc length formula

\int_a^b |r'(t)| dt

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Unit tangent vector

normalized derivative T(t) = r'(t)/|r'(t)|

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Curvature

rate of change of the unit tangent vector with respect to arc length

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Torsion

measure of how a curve twists out of its plane

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Triple integral (cylindrical)

\iiint_E f(r, \theta, z) r dz dr d\theta

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Triple integral

\iiint_E f(\rho, \phi, \theta) \rho^2 \sin\phi d\rho d\phi d\theta