Questions tagged [partial-derivative]

For questions regarding partial derivatives. The partial derivative of a function of several variables is the derivative of the function with respect to one of those variables, with all others held constant.

The partial derivative of a function of several variables is the derivative of the function with respect to one of the variables, with the others held constant. The partial derivative, like the ordinary derivative, describes the rate of change of a function in a particular direction.

If $f = f(a_1, a_2, \dots, a_n)$ is a function of $n$ variables, then the partial derivative of $f$ with respect to the variable $a_i$ can be written as a limit:

$$\frac{\partial f}{\partial a_i} = \lim_{h \to 0} \frac{f(a_1, \dots, a_i + h, \dots, a_n) - f(a_1, \dots, a_i, \dots, a_n)}{h}.$$

Alternatively, this quantity can be denoted as $f_{a_i}$.

If the function has continuous partial second derivatives, then:

$$\frac{\partial}{\partial x_i}\left(\frac{\partial}{\partial x_j}\right)=\frac{\partial}{\partial x_j}\left(\frac{\partial}{\partial x_i}\right)$$

a result known as Schwarz's Theorem.

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Directional derivative in $(0,0)$

Define $f: \mathbb{R^2} \to \mathbb{R}, \ f(x,y)=\frac{x^2y}{x^2+y^2}$. How to prove that all directional derivatives of $f$ in $(0,0)$ exist? I tried with: Let $v=(v_1,v_2) \in \mathbb{R^2}$ with $v_2 \neq 0$. Then…
Gurterz
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How to find partial derivative

I have this equation $$π =(1000 − y_1 − y_2)(y_1 + y_2) - y_1^2 - 200y_2 -y_2^2$$ which simplifies to $$1000y_1 + 800y_2 − 2y_2^2 - 2y_1^2 - 2y_12y_2$$ Variables are $y_1$ and $y_2$ It says that the partial derivative with respect to $y_1 =1000 −…
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Derivative of a vector by a matrix

I have an equation describing feedforward process for MLP: $$ \textbf{g}_j = \textbf{W}_j \times \textbf{h}_{j-1} + \textbf{b}_j $$ $$ \textbf{h}_j = \sigma_j (\textbf{g}_j) $$ then in order to use gradient descent we need to find next partial…
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Partial Derivative of function with Matrix X^T, X and U.

Trying to wrap my head around something I can't seem to place in the Matrix cookbook. If I have a function f = $\mathrm( 2X^TXU)$. Where X and U are both matrices. I want to take the derivative of f w.r.t U. The closest I can find in the matrix…
Jibril
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How do I compute partial_y ( dy / dx )?

I need to compute the following: $\frac{\partial}{\partial y} \left( \frac{ dy}{dx} \right)$. I understand that this looks funny and that it's not quite clear why I would want to compute that. The reason is that I will be optimizing something of the…
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Confusion about the solution of a differential equation about concentration in streams

In Water Quality Modeling, there is a basic differential equation describing concentration $s(x,t)$ in an advective nondispersive stream. Its formula and solution can be seen in Fig.1. I tried to examine this solution by caculating reversely, that…
T X
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Partial Derivatives - Chain Rule Multiple Variable

Suppose that $z$ and $w$ are differentiable functions of $x$ and $y$ satisfying the equations $$xw^3-z^3+xy^2=1$$ and $$yw^2-xz^2+x^3=7$$ find $\frac{\partial z}{\partial x}$ when $(x,y,z,w) = (2,1,-1,-1)$
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Partial of $f(x,y)$ wrt $y = 0$ implies $f(x,y) = h(x)$

Prove if $dyf = 0$ for all points in $R2$ then $f(x, y) = h(x)$ I am struggling to articulate this formally though it seems almost obvious. If there were a $y$ term in $f$ then $dyf$ clearly could not be $0$. I tried defining for a given $x$,…
DSUR
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Separable and partial derivative

Assume f(x1,...,xn) is twice differentiable from Rn to R. If for all (i, j) i ≠ j (dxi dxj)f = 0 then f is additively separable. This seems intuitively obvious since if there exists an xjxi term in f the cross partial would not be 0. However, I am…
DSUR
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Finding the partial derivatives of $u(x(t),t)$

$$u=f(x-(k+u)t)$$ How would I go about finding $\frac{\partial u}{\partial t}$ and $\frac{\partial u}{\partial x}$? So far I have written that $$du=\left(\frac{\partial u}{\partial x}\frac{dx}{dt}+\frac{\partial u}{\partial…
mrnovice
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Solving a PDE given initial/boundary conditions.

Solve the PDE $-u_{tx} + cu_{xx}=0$ given initial/boundary conditions $u(0,x)=sin(x)$, $u_t(t,0)=0$. I substituted $u(x,t) = X(x)T(t)$ into the PDE and did 1 extra step to get $$\frac{T'(t)}{cT(t)} = \frac{X''(x)}{X'(x)}=\lambda$$ and then I got the…
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Determining if an operator is linear.

How do I determine linearity for the operator $L = x\partial_x + y\partial_y$? I know the the definition of a linear operator, but I'm not sure what to do with $\partial_x$ and $\partial_y$ and there doesn't seem to be any mapping?
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Finding critical points on $x\cdot y\cdot \ln(x^2+y^2)$

I'm finding local extremes on this function $f(x,y)=x\cdot y\cdot \ln(x^{2}+y^{2})$ where $x,y$ is from $\mathbb{R}^2-$$ \{(0,0)\}$ . When i derivative it, i got a gradient: $\nabla f(x,y)=\Biggl( y\cdot…
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$y=\cosh\lambda\cosh-\lambda at$ is a solution of $\frac{\partial^2y}{\partial t^2}=a^2\frac{\partial^2y}{\partial x^2}$

$y=\cosh\lambda\cosh-\lambda at$ is a solution of $\frac{\partial^2y}{\partial t^2}=a^2\frac{\partial^2y}{\partial x^2}$ Here we have to prove whether this is true or false. I get $$F'(x)=\lambda\sinh\lambda x\cosh-\lambda at$$ $$F''(x)=\lambda^2…
KD.
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Am I allowed to move $\partial_j$ around like an operator? When?

Am I allowed to move $\partial_j$ (partial derivative with regards to $j$th variable) around? Particularly, because I think that a proof related to Calderon's problem here p. 22 seems to end up with a factorization that has only the term…
mavavilj
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