Questions tagged [multivariable-calculus]

Use this tag for questions about differential and integral calculus with more than one independent variable. Some related tags are (differential-geometry), (real-analysis), and (differential-equations).

Multivariable functions are functions like $f(x,y)=xy^2$, functions that have two or more inputs but still only one output.

There exist multivariable limits, where $x$ and $y$ approach a value instead of just $x$.

In multivariable calculus, when writing $\frac{\mathrm{d}}{\mathrm{d}x} \ f(x,y)$, one does not assume $y$ to be a constant, instead it is assumed that $y$ is a function of $x$.

To indicate that $y$ is a constant, one should use $\frac{\partial}{\partial x} f(x,y)$. These are called partial derivatives.

One also has integrals of multivariable functions. We say that we integrate over a surface in case of a two-variable function. We write this as $$\iint_S f(x,y)$$

If the surface is a rectangle $S: [a,b] \times [c,d]$, and the function is continuous on this rectangle, then Fubini's theorem says that $$\iint_S f(x,y) = \int^b_a\int^d_c f(x,y) \mathrm{d}y \mathrm{d}x$$

35850 questions
2
votes
1 answer

Finding level curves to function

I am supposed to find and draw a few level curves for the function $g(x,y) = e^{\sqrt{x^2-y^2}}$. I have already calculated the domain of the function: $Df=\lbrace(x,y) : y ≤ ±|x|\rbrace$ In order to find a few level curves, I began by calculating…
user1
  • 129
2
votes
1 answer

Is the divergence of a gradient field the trace of the Hessian?

Given a $C^2$ multivariate function $f : \mathbb{R}^d \to \mathbb{R}$, the gradient defines a vector field, the divergence of this vector field, then, should be the trace of the Hessian matrix, right? I'm not entirely sure because the simplified…
fairidox
  • 323
2
votes
1 answer

Deterministic Policy Gradient Theorem Proof

This paper states the deterministic policy gradient theorem. The proof of the theorem is provided in a supplement. This question is about the very first step in the proof. It begins with $$ \nabla_\theta V^{\mu_\theta}(s) = \nabla_\theta…
MathKid
  • 178
2
votes
3 answers

curl(fF) with Einstein Summation Notation

I considered the $k$th component of $\text{curl $f\mathbf{F}$}$. $f$ is a scalar field and $\mathbf{F}$ a vector field. $\color{green}{[}\nabla \times (fF)\color{green}{]} _{\LARGE{\color{green}{k}}} =…
user53259
2
votes
1 answer

$F: B(0,1)\to R$ is differentiable, $|F|\leq 1$. show $\exists\ \xi\in B(0,1)$, $|\nabla F(\xi)|\leq 2$

$F: B(0,1)\to R$ is differentiable, $|F|\leq 1$. show $\exists\ \xi\in B(0,1)$, $|\nabla F(\xi)|\leq 2$. Here $B(0,1)$ is the unit ball in $\Bbb R^d$. If I just use Lagrange intermediate value theorem on two points of the boundary, I could just…
xldd
  • 3,407
2
votes
2 answers

Use Green's theorem to calculate $\int_{\gamma}y\,dx+x^2dy$

Use greens theorem to calculate $\int_{\gamma}y\,dx+x^2dy$ where $\gamma$ is the following closed path: (a) The circle given by $g(t) = (\cos(t), \sin(t)), 0 \le t \le 2\pi$. What I have tried: Using the following $$\int_\gamma P\,dx+Q\,dy =…
me.limes
  • 393
2
votes
1 answer

Jacobian Matrix of inverse map

I have a question which asks me to show that the map f: $R^2 \rightarrow R^2$ defined by $$f(x,y)=(e^x+e^y, e^x+e^{-y})$$ is locally invertible about any point $(a,b) \in R^2$, and compute the Jacobian matrix of the inverse map. I know if is locally…
Isa
  • 21
  • 3
2
votes
2 answers

Find total charge of triangular region

Charge is distributed over a triangular region in the -plane bounded by the -axis and the lines =5− and =1+. The charge density at a point (,) is given by (,)=+, measured in coulombs per square meter (C/m2). Find the total charge. I've graphed a…
Rhys Ng
  • 111
2
votes
2 answers

Are there any examples of non-linear functions whose contour plot is made up of ALL parallel lines?

I know planes are made up of all parallel lines but what about functions in 3-space?
2
votes
2 answers

What is the definition of curl of $\mathbf{F}(x_1, x_2) = ( F_1 (x_1,x_2) F_2(x_1,x_2))$ in $\mathbb{R}^2?$

What is the definition of curl of $\mathbf{F}(x_1, x_2) = ( F_1 (x_1,x_2) F_2(x_1,x_2))$ in $\mathbb{R}^2?$ Most textbook says only of vector fields in the space $\mathbb{R}^3$...
le4m
  • 3,006
2
votes
0 answers

Show that unit basis vector fields for polar coordinates are a noncoordinate basis

In this question it is worked out that the unit vectors in polar coordinates are a noncoordinate basis. I tried recalculating it, but I get a different…
eeqesri
  • 709
2
votes
2 answers

extrema and saddle points

Examine the following function for relative extrema and saddle points: $$f(x, y) = 9x^2-5y^2-54x-40y+4.$$ I did this and got that the point should be at $(3, -4, 3)$. Is that right? Also, how do I know if it is a saddle point or a minimum?
jain smit
  • 333
2
votes
1 answer

Show that $4(u^2+v^2)\left(\left(\frac{\partial z}{\partial x} \right)^2+\left(\frac{\partial z}{\partial y} \right)^2\right)$

Let $x = u^2-v^2$ and $y = 2uv$, and suppose that $z = f(x,y)$ is differentiable. Show that: $$ \left(\frac{\partial z}{\partial u}\right) ^2+\left(\frac{\partial z}{\partial v} \right)^2 = 4(u^2+v^2)\left(\left(\frac{\partial z}{\partial x}…
Stackcans
  • 361
2
votes
1 answer

Directional Derivative of a piecewise defined function

Here is a problem and the solution to it.$\quad$ let $f: \mathbb{R}^{3} \rightarrow \mathbb{R}$ be a continuously differentiable function with: $$ f(t, 2 t, 0)=e^{3 t}+1, \quad f(t,-t,-t)=2 \cos \left(t^{3}\right)+3 t, \quad f(0, t, 3 t)=\log…
Bribi
  • 45
2
votes
1 answer

Using the arc length function to find a parameterization of C in terms of s

The problem: Find the arc length function $s(t)$ for the curve defined by $\vec r(t)$. Then use this result to find a parametrization of $C$ in terms of $s$. $$\vec r(t) = a\cos^3t\,\hat i + a\sin^3t\,\hat j+ \hat k,\quad 0\le t\le 2\pi$$ Attempt at…
Alex
  • 285