MHB Derivatives in Higher Dimensions

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The discussion focuses on the differentiability of the function f(x, y) = (xy, x^2) at a point in R^2, as defined by Munkres in "Analysis on Manifolds." To determine the appropriate derivative matrix B, participants analyze the limit condition for differentiability, concluding that the entries of B must match the partial derivatives at the point of interest. Specifically, they find that setting a = y and b = x ensures the limit approaches zero along any path as (h1, h2) approaches zero. The conversation emphasizes that while partial derivatives can help find B, they may not always guarantee differentiability, highlighting the importance of Munkres' definition. The thread is ultimately categorized under Calculus for clarity.
joypav
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Looking at Munkres "Analysis on Manifolds", it says for $A\subset R^n, f: A \rightarrow R^m$ suppose that $A$ contains a neighborhood of $a$. Then $f$ is differentiable at $a$ if there exists an $n$ by $m$ matrix $B$ such that,

$\frac{f(a+h)-f(a)-Bh}{\left| h \right|}\rightarrow 0$ as $h\rightarrow 0$​
($B$ is called the derivative of $f$ at $a$)

The definition seems a-ok, but I am trying to just work a simple problem so that I can see it in action and I am stuck.

Say $f(x,y)=(xy, x^2)$. Obviously, $f: R^2 \rightarrow R^2$.
And let $B = \left[\begin{array}{c} a & b \\ c & d \end{array}\right]$
We are in $R^2$ so $h = \left[\begin{array}{c}h_1 \\ h_2 \end{array}\right]$.

$f(x+h_1, y+h_2) - f(x,y) = \left[\begin{array}{c}(x+h_1)(y+h_2) \\ (x+h_1)^2 \end{array}\right]-\left[\begin{array}{c}xy \\ x^2 \end{array}\right]=\left[\begin{array}{c}xh_2+yh_1+h_1h_2 \\ 2xh_1+h_1^2 \end{array}\right]$

$B\cdot h = \left[\begin{array}{c} a & b \\ c & d \end{array}\right]\cdot \left[\begin{array}{c}h_1 \\ h_2 \end{array}\right] = \left[\begin{array}{c} ah_1+bh_2 \\ ch_1+dh_2 \end{array}\right]$

$f(x+h_1, y+h_2) - f(x,y) - B\cdot h = \left[\begin{array}{c}xh_2+yh_1+h_1h_2-ah_1-bh_2 \\ 2xh_1+h_1^2-ch_1-dh_2 \end{array}\right]$

We need to choose $a, b, c, d$ so that,
$\frac{1}{\sqrt{h_1^2+h_2^2}} \cdot \left[\begin{array}{c}xh_2+yh_1+h_1h_2-ah_1-bh_2 \\ 2xh_1+h_1^2-ch_1-dh_2 \end{array}\right] \rightarrow 0$ as $(h_1, h_2) \rightarrow 0$

Meaning, we need,
$\frac{xh_2+yh_1+h_1h_2-ah_1-bh_2}{\sqrt{h_1^2+h_2^2}} \rightarrow 0$ as $(h_1, h_2) \rightarrow 0$
and
$\frac{2xh_1+h_1^2-ch_1-dh_2}{\sqrt{h_1^2+h_2^2}} \rightarrow 0$ as $(h_1, h_2) \rightarrow 0$

OKAY, now that that's all out there, I need help! First of all, is there a simple way to figure this out from what I have?
From previous things I've worked on, I believe I can just find $B$ with partial derivatives. So it should be
$B = \left[\begin{array}{c} y & x \\ 2x & 0 \end{array}\right]$

How do I go about getting this? Or do I just need to show that this $B$ will work?
 
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Hey joypav,

We can write:
$$\lim_{(h_1,h_2)\to 0}\frac{xh_2+yh_1+h_1h_2-ah_1-bh_2}{\sqrt{h_1^2+h_2^2}}
=\lim_{(h_1,h_2)\to 0}\frac{(x-b)h_2+(y-a)h_1+h_1h_2}{\sqrt{h_1^2+h_2^2}} = 0$$
For the limit to be zero, it needs to be zero on any path that $(h_1,h_2)$ can take to zero.
So for instance along the path where $h_1=0$ and $h_2\to 0^+$.
Suppose $x-b\ne 0$. Then along that path, the limit is $x-b\ne 0$, which is a contradiction. Therefore we must have $b=x$.
Similarly we must have $a=y$.
We can prove that the remaining expression has indeed the limit $0$.

The same reasoning applies to the other limit.And yes, one might also show that the $B$ you found with partial derivatives just works.
Do note that it's possible that a partial derivative does not exist, even though we can still find the derivative of $f$ at a point.
And a matrix with partial derivatives is also not guaranteed to work in all cases, even if it exists.
In other words, the definition that Munkres gives is certainly relevant.Btw, I hope you don't mind, but I'd classify this as Calculus, so I've moved the thread there.
 
That makes a lot more sense. Thank you!
 

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