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MONASH MTH2010 - Multivariable Calculus & Vector Calculus

Master Monash MTH2010 with this high-yield flashcard deck, covering essential multivariable and vector calculus concepts. Dive deep into partial derivatives, multiple integrals, and fundamental theorems like Green's, Stokes', and Divergence Theorem for exam success.

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(25 cards)

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#1
Term
What is the partial derivative of with respect to ?
Definition
The partial derivative rac{\partial f}{\partial x} (or ) is the derivative of with respect to , treating as a constant. Mathematically, rac{\partial f}{\partial x} = \lim_{h o 0} rac{f(x+h, y) - f(x,y)}{h}.
#2
Term
Explain for a function .
Definition
(or rac{\partial^2 f}{\partial y \partial x}) represents the second-order partial derivative where is first differentiated with respect to , and then the result is differentiated with respect to .
#3
Term
State Clairaut's Theorem (or Schwarz's Theorem) regarding mixed partial derivatives.
Definition
If the second partial derivatives and are continuous on an open disk, then they are equal: .
#4
Term
State the Chain Rule for where and .
Definition
If is a differentiable function of and , and , are differentiable functions of , then rac{dz}{dt} = rac{\partial z}{\partial x} rac{dx}{dt} + rac{\partial z}{\partial y} rac{dy}{dt}.
#5
Term
Define the gradient vector for a scalar function .
Definition
The gradient vector (read 'del f' or 'grad f') is a vector containing the partial derivatives of : abla f(x,y,z) = \left\langle rac{\partial f}{\partial x}, rac{\partial f}{\partial y}, rac{\partial f}{\partial z} ight angle = rac{\partial f}{\partial x}\mathbf{i} + rac{\partial f}{\partial y}\mathbf{j} + rac{\partial f}{\partial z}\mathbf{k}.
#6
Term
What is the geometric significance of the gradient vector at a point ?
Definition
The gradient vector points in the direction of the maximum rate of increase of at point . Its magnitude is this maximum rate of increase. It is also normal to the level surface at .
#7
Term
How is the directional derivative defined, and what does it represent?
Definition
The directional derivative of in the direction of a unit vector is . It represents the rate of change of in the direction of .
#8
Term
How do you find the equation of the tangent plane to a surface at a point ?
Definition
The gradient vector is normal to the surface at . The equation of the tangent plane is rac{\partial F}{\partial x}(x_0, y_0, z_0)(x-x_0) + rac{\partial F}{\partial y}(x_0, y_0, z_0)(y-y_0) + rac{\partial F}{\partial z}(x_0, y_0, z_0)(z-z_0) = 0.
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