# ⎈ captn's log

## 08.07.2020 - the supersimple case

I think writing down some the simplest possible case could be useful for me right now. Therefore, let $F$ and $G$ be curves, each with only one tangent at $0$, the line $x=0$. That means

\begin{align} F &= x + F_2 + F_3 + \cdots, \\ G &= x + G_2 + G_3 + \cdots. \end{align}

Their intersection multiplicity is equal to $I_O(F,G) = m\cdot n + t + l = 2 + l$. So far, we know that

\begin{align} mn &= 1.1 = 1 \\ ker(\psi) &= 1 \\ \dim(\mathcal{O}/(I^{2},F,G)) &= 1+1 = 2 \\ \ker(\pi) &= ? \\ I_O(F,G) = \dim(\mathcal{O}/(F,G)) &= 2 + ? = ?? \end{align}

This is actually easy to calculate whole. What happens here, is the following:

We need to search for the lowest index $i$ and $j$, such that $F_i$ and $G_j$ are not divisibile by $x$. Then we have two possibilities. Either $i \lt j$ (without loss of generality), or $i=j$. In the first case, $I_O(F,G) = i$, in the second case $I_O(F,G) \geq i$.

### how can we see that from the blowup?

When using the blowup, the line $x=0$ remains to be the tangent, until we "reach" the first homogeneous part of $F$ (or $G$) which is not divisibile by $x$.

#### example:

Let

\begin{align} F &= x + xy + y^3 \\ G &= x + x^2 + y^4 \\ \end{align}

Then the blowup of their union at the origin looks like this:

If this occurs at the same step for the curves $F$ and $G$ (that means $i=j$ when using the notation from before), the new curves might have the same tangent. This happens if the coeffitient at $y^i$ in $F$ and $G$ is the same. In this case, we need to continue with the blowups.

### how does the puiseux expansion look here?

to be continued...

## 25.4.2020 - okay, here we go (again)

I'll write down even things that has been already shown before, i would like to use this post as a summary.

What I'm trying to do right now, is to get rid of the change of basis, where the tangents where either $X=0$ or $Y=0$. This was a good strategy up to two common tangents, but cannot be used for the case of three (or more) different tangents. We still assume that $m \leq n$.

In general, we are working with the curves

$$F = F_{m} + F_{m+1} + F_{m+2} + \cdots ,$$ $$G = G_{n} + G_{n+1} + G_{n+2} + \cdots .$$

The possible elements of the kernel

$$(A,B) = (A_{n-1} + \cdots + A_0, B_{m-1} + \cdots + B_0).$$

Since we are finding the solutions of $AF - BG = 0$, we are actually solving the set of equations

\begin{align} F_m A_{n-m} & = G_n B_0 \\ F_m A_{n-m+1} + F_{m+1}A_{n-m} & = G_n B_1 + G_{n+1}B_0 \\ & \cdots \\ F_m A_{n-1} + \cdots + F_{2m-1}A_{n-m} & = G_n B_{m-1} + \cdots + G_{n+m-1}B_{0} \end{align}

• If $(A,B) = (A_{n-1} + \cdots + A_{n-i} + 0 + \cdots + 0, B_{m-1} + \cdots + B_{m-j} + 0 + \cdots + 0)$, then $i=j$.
• If $F$ and $G$ have exactly $k$ tangents in common, then $j=i \leq k$.

### Let $F$ and $G$ have exactly $1$ common tangent.

This is a very simple case.

That means that $F_m = (aX + bY)\mathcal{F}_{m-1}$, and $G_n = (aX + bY)\mathcal{G}_{n-1}$.

Then we are looking for elements of the form $(A,B) = (A_{n-1},B_{m-1})$. The only equation to solve here is $F_m A_{n-1} = G_n B_{m-1}$, which is easy, because it is equal to $(aX + bY)\mathcal{F}_{m-1} A_{n-1} = (aX + bY)\mathcal{G}_{n-1} B_{m-1}$, and $\gcd(\mathcal{F}_{m-1},\mathcal{G}_{n-1})=1$.

The elements of the $ker(\psi)$ are the elements $(A,B) = (b_0(\mathcal{G}_{n-1}),b_0(\mathcal{F}_{m-1}))$, for any $b_0 \in k$. Therefore

$$\dim(\ker(\psi)) = 1.$$

### Let $F$ and $G$ have exactly $2$ common tangents.

That means that $F_m = (\alpha X + \beta Y)(\gamma X + \delta Y)\mathcal{F}_{m-2}$, and $G_n = (\alpha X + \beta Y)(\gamma X + \delta Y)\mathcal{G}_{n-2}$.

Then we are looking for elements of the form $(A,B) = (A_{n-1} + A_{n-2},B_{m-1} + B_{m-2})$.

What we need to solve is the system

\begin{align} F_m A_{n-2} & = G_n B_{m-2} \\ F_m A_{n-1} + F_{m+1}A_{n-2} & = G_n B_{m-1} + G_{n+1}B_{m-2} \end{align}

#### (UPDATE 19.5.2020)

The first equation gives us the conditions

\begin{align} B_{m-2} &= c_0 \mathcal{F}_{m-2}, \\ A_{n-2} &= c_0 \mathcal{G}_{n-2}, \end{align}

for some $b_0 \in k$. Then the second equation of the system can be written as

\begin{align} (\alpha X + \beta Y)(\gamma X + \delta Y)\mathcal{F}_{m-2} A_{n-1} + F_{m+1}c_0 \mathcal{G}_{n-2} &= (\alpha X + \beta Y)(\gamma X + \delta Y)\mathcal{G}_{n-2} B_{m-1} + G_{n+1}c_0 \mathcal{F}_{m-2} \\ (\alpha X + \beta Y)(\gamma X + \delta Y)[\mathcal{F}_{m-2} A_{n-1} - \mathcal{G}_{n-2} B_{m-1}] &= c_0[G_{n+1} \mathcal{F}_{m-2} - F_{m+1} \mathcal{G}_{n-2}] \end{align}

Now we have two possibilities. Either $[G_{n+1} \mathcal{F}_{m-2} - F_{m+1} \mathcal{G}_{n-2}]$ is divisible by $(\alpha X + \beta Y)(\gamma X + \delta Y)$ (but what does it mean for the curve?), or $c_0=0.$

• First, if it is not divisibile, then $b_0=0$, and $\mathcal{F}_{m-2} A_{n-1} = \mathcal{G}_{n-2} B_{m-1}$. Then (since $\gcd(\mathcal{F}_{m-2},\mathcal{G}_{n-2})=1$, we get the solution

\begin{align} B_{m-1} &= (b_1X + b_2Y) \mathcal{F}_{m-2}, \\ A_{n-1} &= (b_1X + b_2Y) \mathcal{G}_{n-2}, \end{align}

so all the solutions of the system are $(A,B) = ((b_1X + b_2Y) \mathcal{G}_{n-2},(b_1X + b_2Y) \mathcal{F}_{m-2})$ and the dimenstion of kernel is $2$.

$$\dim(\ker(\psi)) = 2.$$
• Now let $[G_{n+1} \mathcal{F}_{m-2} - F_{m+1} \mathcal{G}_{n-2}]$ be divisible by $(\alpha X + \beta Y)(\gamma X + \delta Y)$, that means $G_{n+1} \mathcal{F}_{m-2} - F_{m+1} \mathcal{G}_{n-2} = (\alpha X + \beta Y)(\gamma X + \delta Y) \Delta_{m+n-3}$. Now, we are trying to solve the equation

\begin{align} \mathcal{F}_{m-2} A_{n-1} - \mathcal{G}_{n-2} B_{m-1} & = c_0\Delta_{m+n-3} \\ (f_0X^{m-2} + \cdots + f_{m-2}Y^{m-2}) (a_0X^{n-1} + \cdots + a_{n-1}Y^{n-1}) - (g_0X^{n-2} + \cdots + g_{n-2}Y^{n-2}) (c_0X^{m-1} + \cdots + b_{m-1}Y^{m-1}) & = c_0\Delta_{m+n-3} \end{align}

When writing down the equation for each power of $X^iY^j$ seperately, we get the linear system of $m+n-2$ equations vith $m+n$ variables $a_0, \cdots a_{n-1}, b_0, \cdots , b_{m-1}$

$$\begin{pmatrix} f_0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & g_0 & 0 & 0 & 0 & 0 \\ f_1 & f_0 & 0 & 0 & 0 & 0 & 0 & 0 & g_1 & g_0 & 0 & 0 & 0 \\ \vdots & & \ddots & 0 & 0 & 0 & 0 & 0 & \vdots & & \ddots & 0 & 0 \\ f_{m-2} & f_{m-3} & \cdots & f_0 & 0 & 0 & 0 & 0 & g_{m-2} & g_{m-3} & \cdots & g_0 & 0 \\ 0 & f_{m-2} & \cdots & f_1 & f_0 & 0 & 0 & 0 & g_{m-1} & g_{m-2} & \cdots & g_1 & g_0 \\ 0 & 0 & \ddots & & & \ddots & 0 & 0 & \vdots & \vdots & \cdots & \vdots & \vdots \\ 0 & 0 & 0 & f_{m-2} & \cdots & f_1 & f_0 & 0 & g_{n-2} & g_{n-3} & \cdots & g_{n-m} & g_{n-m-1}\\ 0 & 0 & 0 & 0 & f_{m-2} & \cdots & f_1 & f_0 & 0 & g_{n-2} & \cdots & g_{n-m+1} & g_{n-m} \\ 0 & 0 & 0 & 0 & 0 & \ddots & & \vdots & 0 & 0 & \ddots & & \vdots \\ 0 & 0 & 0 & 0 & 0 & 0 & f_{m-2} & f_{m-1} & 0 & 0 & 0 & g_{n-2} & g_{n-3} \\ 0 & 0 & 0 & 0 & 0 & 0 & 0 & f_{m-2} & 0 & 0 & 0 & 0 & g_{n-2} \\ \end{pmatrix} \begin{pmatrix} a_0 \\ a_1 \\ \vdots \\ a_{n-1} \\b_0 \\b_1 \\ \vdots \\b_{m-1} \end{pmatrix} = \begin{pmatrix} c_0 \delta_{0} \\ c_0 \delta_{1} \\ \vdots \\ \vdots \\c_0 \delta_{m+n-4} \\c_0 \delta_{m+n-3} \end{pmatrix}$$

What is the rank of this matrix? It looks almost like the Sylvester matrix of $\mathcal{F}_{m-2}(X,1)$ and $\mathcal{G}_{n-2}(X,1)$, but it is not square. But either way, it is somewhere between $n-1$ and $m+n-2$.

That means that with the condition $G_{n+1} \mathcal{F}_{m-2} - F_{m+1} \mathcal{G}_{n-2} = (\alpha X + \beta Y)(\gamma X + \delta Y) \Delta_{m+n-3}$, the dimension of the kernel is at least $3$. Possibly more, with some more conditions? I'm not sure. But at least we have

$$m+2 \geq \dim(\ker(\psi)) \geq 3.$$

#### UPDATE 3.7.2020:

Okay, looks like the rank of this matrix is always full. I'm almost certain. (almost? wtf??) Therefore

$$\dim(\ker(\psi)) = 3.$$

## 24.4.2020 - it's' all about number of common tangents

Looks like the best approach to make this work is to use induction by number of common tangents after all. I should write the results down before I forget everything and my notes stop making sense. Evetually, they turn into a pile of abstract art. It's the circle of life.

## 17.4.2020 - the whole universe is linear algebra

The task of finding the dimensions of the kernel for different cases is turning into simple system of linear equations. But the conditions of the cases are getting more and more ugly. But at least they are still in some sort of relationship with the tangents of the curves.

UPDATE: I've made some good examples, but I'm too angry to write it down right now. Men can be very frustrating somethimes. Grr >:-(

UPDATE 2: Maybe I shouldn't write these when I'm angry with my boyfriend.

## 10.4.2020 - Let $m=3$.(updated 17.4.)

I don't have this solved completely yet. This is just a list of partial solutions of simple cases.

### Let $m=3$.

Then $F = F_3 + F_4 + F_5 + \cdots$, $G = G_n + G_{n+1} + G_{n+2} + \cdots$. (the terms in $\cdots$ have no impact on $\ker(\psi)$)There are six (or more) cases:

• $\deg(\gcd(G_n,F_3))=0$ (they share no tangents) Then the dimension of the kernel is $0$.
• $\deg(\gcd(G_n,F_3))=1$ (they share exactly one tanget). Then the dimension of the kernel is $1$.
• $\deg(\gcd(G_n,F_3))=2$ (they share exactly two tangets). Then there are two possibilities.
• First, if we satisfy the following condition for each common tangent $X$, then the dimension of the kernel is $3$. The condition is different for simple and double tangents.
• If $X$ is a simple tangent (of multiplicity $1$), then if we write $F$ and $G$ in the form: $$F = \Big[X \cdot (X\cdot(\cdots) + AY^2\Big] + \Big[X\cdot(\cdots) + BY^4 \Big] + \cdots$$ $$G = \Big[X(X\cdot(\cdots) + CY^{n-1})\Big] + \Big[ X\cdot(\cdots) + DY^{n+1} \Big] + \cdots ,$$ then the condition is $AD = BC$.
• Ket $X$ be a double tangent. Then we write $F$ and $G$ as: $$F = \Big[X^2 \cdot (aX + AY)\Big] + \Big[X^2\cdot(\cdots) + bXY^3 + BY^4 \Big] + \cdots$$ $$G = \Big[X^2(X^2\cdot(\cdots) + cXY^{n-3} + CY^{n-2})\Big] + \Big[ X^2\cdot(\cdots) + dXY^{n} + DY^{n+1} \Big] + \cdots ,$$ then the conditions are $AD=BC$, and $aD + Ad = bC + Bc$.
• Otherwise, the dimension of the kernel is $2$
• $\deg(\gcd(G_n,F_3))=3$ (they share all three tangets). I don't have this case solved yet. EDIT (17.4): there are two cases:
• If ugly conditions are satisfied, then the dimension of the kernel is $6$.
• Otherwise, the dimension of the kernel is $5$.
I'll have to get back to examples and special cases, because this is getting too confusing.

## 3.4.2020 - what do we have solved so far?

Without loss of generality, we assume that $m \leq n$. Enjoy our fresh table of solved cases:

 m\n 1 2 3 4 5 6 7 8 ... 1 🦕 🦕 🦕 🦕 🦕 🦕 🦕 🦕 🦕 2 🦕 🦕 🦕 🦕 🦕 🦕 🦕 🦕 3 🦖 🦖 🦖 🦖 🦖 🦖 🦖 4 5 6 7 8 ...

## What are the results?

### Let $m=1$.

Then $F = F_1 + F_2 + \cdots$, $G = G_n + G_{n+1} + \cdots$. There are two cases:

• $\deg(\gcd(G_n,F_1))=0$ (they don't share the tangent) Then the dimension of the kernel is $0$.
• $\deg(\gcd(G_n,F_1))=1$ (they share the tanget) Then the dimension of the kernel is $1$.

### Let $m=2$.

Then $F = F_2 + F_3 + \cdots$, $G = G_n + G_{n+1} + \cdots$. There are four cases:

• $\deg(\gcd(G_n,F_2))=0$ (they share no tangents) Then the dimension of the kernel is $0$.
• $\deg(\gcd(G_n,F_2))=1$ (they share only one tanget). Then the dimension of the kernel is $1$.
• $\deg(\gcd(G_n,F_2))=2$ (they share both tangents). Then there are two possibilities.
• First, if $$F = \Big[XY\Big] + \Big[XY(U_1) + R_3 \Big] + \cdots$$ $$G = XY\Big[XY(V_{n-4}) + Q_{n-2}\Big] + \Big[ XY(W_{n-1}) + R_3 Q_{n-2} \Big] + \cdots .$$ Then the dimension of the kernel is $3$
• Otherwise, the dimension of the kernel is $2$

## 3.4.2020 - all the solutions for $m=1$ (with computation)

Ok, I think I know how to give this whole thing into a induction-like type of order. First, we take the care of the case, where $m=1$ ( and $n \geq 1$ can be arbitrary). This is actually a case, which is solved in my Project of disseration, but I want to include it here anyway. It is better for my current system.

Now, we can write $F$ and $G$ as $$F = F_1 + F_2 + F_3 + \cdots$$ $$G = G_n + G_{n+1} + G_{n+2} + \cdots$$

So far, from my Project of dissertation, we know that

• If $(A,B) \in \ker(\psi)$, then $(A,B) = (A_{n-1},B_0)$ (lemma 4.2.2).
• The existence of $(A,B) \in \ker(\psi)$ depends only on $F_1$ and $G_n$. (lemma 4.2.4)

With these conditions, $AF - BG=0$ if and only if $$A_{n-1}F_1 = B_0G_n.$$

Let us introduce new coordinates $X$ and $Y$, such that $F_1 = X$. This brings us to two possible cases.

1. Let $G_n = X\cdot (G'_{n-1})$ (for some homogeneous polynomial $G'_{n-1}$). Visually, the polynomials look like this: $$F = X + \cdots ,$$ $$G = X\cdot(G'_{n-1}) + \cdots .$$

Then we have a solution $(A,B) = (b_0G'_{n-1},b_0)$ for any $b_0 \in k$. In this case, the dimension of the kernel is $1$.

2. Let $G_n \neq X\cdot (G'_{n-1})$ (meant as $G_n$ is not divisible by $X$.)

Then the only solution is $(A,B)=(0,0)$, and the dimension of th kernel is $0$.

## 3.4.2020 - all the solutions for $m=2$ (with computation)

Now by similiar process, we solve the case, where $m=2$ (and $n \geq 2$). By the same lemmas,as in the first case, we know that $(A,B)\in \ker(\psi)$ depends only on $F_2$, $F_3$, $G_n$ and $G_{n+1}$, and (beside of the solution $(A,B)=(0,0)$), either $(A,B) = (A_{n-1},B_1)$ (both nonzero), or $(A,B) = (A_{n-1} + A_{n-2},B_1 + B_0)$ (where $A_{n-2}$ and $B_0$ are nonzero).

Now the equation $AF-BG=0$ provides us two conditions

1. $A_{n-2}F_2 = B_0G_n$
2. $A_{n-1}F_2 + A_{n-2}F_3 = B_1G_{n} + B_0G_{n+1}$

Now we can use the same simplification as in the first case. But this time, we have to split our computation into two cases. First, where $F$ has two distinct tangents, and second, where $F$ has one double tangent.

First, let $F$ have two distinct tangents. This means we can pick coordinates $X$ and $Y$, such that $F_2 = XY$. Now we can write the second condition as $$A_{n-2}XY = B_0G_n,$$ which means, we have two possibilities. First, where $B_0= A_{n-2} = 0$, and second, where both $B_0$ and $A_{n-2}$ are nonzero.

We start with the simple case, where $B_0= A_{n-2} = 0$. Then the only condition we need to astisfy is $A_{n-1}XY = B_1G_n$. The two possible outcomes of this are:

1. $G_n = X (G'_{n-1})$ for some homogeneous polynomial $G'_{n-1}$. Then $B_1 = b_2Y$ (for some $b_2 \in k$), and all the possible solutions are $(A,B) = (b_2G'_{n-1},b_2)$. The dimension of the kernel is $1$.
2. $G_n$ is not divisible by neither $X$, nor $Y$. Then the only solution is $(A,B)=(0,0)$, and the dimension of the kernel is $0$.

This being taken care of, we can move to the second case. From now on, we assume that both $B_0$ and $A_{n-2}$ are nonzero. Then from $A_{n-2}XY = B_0G_n$, we know that $G_n=XY\cdot(G'_{n-2})$ (for some homogeneous polynomial $G'_{n-2}$), and $A_{n-2} = B_{0}G'_{n-2}$. With this information, we write down $F$, $G$, $A$ and $B$ as $$F = \bigg[F_2\bigg] + \bigg[F_3\bigg] + \cdots = \bigg[XY\bigg] + \bigg[f_1X^3 + f_2X^2Y + f_3XY^2 + f_4Y^3\bigg] + \cdots$$ $$G = \bigg[G_n\bigg] + \bigg[G_{n+1}\bigg] + \cdots = \bigg[XY(\mathfrak{g}_1X^{n-2} + \mathfrak{g}_2X^{n-1}Y + \cdots + \mathfrak{g}_{n+1}Y^{n-2})\bigg] + \bigg[ g_1X^{n+1} + g_2X^{n}Y + \cdots + g_{n+2}Y^{n+1} \bigg] + \cdots$$ $$A = \bigg[A_{n-1}\bigg] + \bigg[A_{n-2}\bigg] = \bigg[a_1X^{n-1} + a_2X^{n-2}Y + \cdots + a_nY^{n-1}\bigg] + \bigg[b_0(\mathfrak{g}_1X^{n-2} + \mathfrak{g}_2X^{n-1}Y + \cdots + \mathfrak{g}_{n+1}Y^{n-2})\bigg]$$ $$B = \bigg[B_1\bigg] + \bigg[B_0\bigg] = \bigg[(b_1X + b_2Y)\bigg] + \bigg[b_0\bigg]$$

Now we simply expand $AF - BG$ and compare the parts of the same degree. What we obtain is

• Two conditions for the polynomials $F$ and $G$. These are $b_0\mathfrak{g}_1f_1 = b_0g_1$ and $b_0\mathfrak{g}_{n-1}f_4 = b_0g_{n+2}$. Since $b_0$ is nonzero, we can simplify them to $$\mathfrak{g}_1f_1 = g_1,$$ $$\mathfrak{g}_{n-1}f_4 = g_{n+2}.$$
• $n$ linear equations of the form $a_i = L_i(b_0,b_1,b_2)$.

If we apply the conditions into $F$ and $G$, we get $$F = \bigg[XY\bigg] + \bigg[f_1X^3 + f_2X^2Y + f_3XY^2 + f_4Y^3\bigg] + \cdots$$ $$G = \bigg[XY(\mathfrak{g}_1X^{n-2} + \mathfrak{g}_2X^{n-1}Y + \cdots + \mathfrak{g}_{n+1}Y^{n-2})\bigg] + \bigg[ (\mathfrak{g}_1f_1)X^{n+1} + g_2X^{n}Y + \cdots + g_{n+1}XY^{n+1} + (\mathfrak{g}_{n-1}f_4)Y^{n+1} \bigg] + \cdots ,$$ and the dimension of the kernel is $3$.

We can do analogous computation for the case, where $F$ has a double tangent $X^2$. The results is very similiar. The kernel is again $3$, and the conditions for $F$ and $G$ are $$F = \bigg[X^2\bigg] + \bigg[f_1X^3 + f_2X^2Y + f_3XY^2 + f_4Y^3\bigg] + \cdots$$ $$G = \bigg[X^2(\mathfrak{g}_1X^{n-2} + \mathfrak{g}_2X^{n-1}Y + \cdots + \mathfrak{g}_{n+1}Y^{n-2})\bigg] + \bigg[ g_1X^{n+1} + \cdots + g_nX^{2}Y^{n-1} + (\mathfrak{g}_{n-1}f_3 + \mathfrak{g}_{n-2}f_4)XY^{n} + (\mathfrak{g}_{n-1}f_4)Y^{n+1} \bigg] + \cdots ,$$

## How to look at this result from a different angle.

The more easy-to-read version could be this. (I'm using completely unrelated letters for the coeffitients on purpose. It helps me to look at the result from a different angle). This is for the case with different tangents: $$F = \bigg[XY\bigg] + \bigg[XY(U_1) + \alpha X^3 + \beta Y^3\bigg] + \cdots$$ $$G = XY\bigg[XY(V_{n-4}) + (aX^{n-2} + bY^{n-2})\bigg] + \bigg[ XY(W_{n-1}) + \alpha a X^{n+1} + \beta b Y^{n-1} \bigg] + \cdots .$$

Hm... I think I have an idea. How about we write $F$ and $G$ as $$F = \bigg[XY\bigg] + \bigg[XY(U_1) + R_3\bigg] + \cdots$$ $$G = XY\bigg[XY(V_{n-4}) + Q_{n-2}\bigg] + \bigg[ XY(W_{n-1}) + R_3 Q_{n-2} \bigg] + \cdots .$$ where $R_3$ and $Q_{n-2}$ are not divisibile by $XY$. I know that $(\alpha X^3 + \beta Y^3)(aX^{n-2} + bY^{n-2}) \neq \alpha a X^{n+1} + \beta b Y^{n-1}$, but their difference gets eaten up by $W_{n-1}$ anyway. This works also for the case of double tangents (we simply need to write $X^2$ instead of $XY$).

The interesting part is, that aside from the divisibility condition ($R_3$ and $Q_{n-2}$ are not divisibile by $XY$), and $F_2 \neq 0$, $G_n \neq 0$, we have no more conditions. The polynomials $U_1$, $V_{n-4}$, $W_{n-1}$, $R_3$ and $Q_{n-2}$ can be whatever (of the right degree), or even equal to $0$.

This means, that from the $\psi$ point of view, the combination $$F = \bigg[XY\bigg] + \bigg[XY(U_1) + R_3 \bigg] + \cdots$$ $$G = XY\bigg[XY(V_{n-4}) + Q_{n-2}\bigg] + \bigg[ XY(W_{n-1}) + R_3 Q_{n-2} \bigg] + \cdots$$ is as good as ($R_3=0$) $$F = XY + XY(U_1) + \cdots$$ $$G = XY(P_{n-2}) + XY(W_{n-1}) + \cdots ,$$ and also as good as $$F = XY + F_3 \cdots + ,$$ $$G = A_{n-2}(XY + F_3) + \cdots .$$

## 2.4.2020 - I have decided to reverse the order of these posts,

so I don't have to scroll down so much. I'm a genius. 🐦

## 30.3.2020 - what is the upper bound

Funny, I've never thought about the upper bound of the kernel $\ker(\psi)$ until today.

Without loss of generality, let $m\leq n$. Then the general member of the kernel for $F = F_m + F_{m+1} + \cdots$ and $G = G_n + G_{n+1} + \cdots$ is (A,B), where $$A = A_{n-1} + \cdots + A_{n-m},$$ $$B = B_{m-1} + \cdots + B_0.$$ All the other $A_i$'s have to be equal to zero.

If our solution would be any $(A,B)$ as defined above, the dimension of the kernel would be (dimension of the A-part) + (dimension of the B-part) $$\sum_{i=1}^m (n-m+i) + \sum_{i=1}^m (i) = m(n-m) + \frac{(m+1)m}{2} + \frac{(m+1)m}{2} = m(n-m) + (m+1)m = m(n+1).$$ But I think this would happen only for the case, where $F=0$ and $G=0$. And that is not very interesting case.

The highest intersection multiplicity (relative to values $m$ and $n$) should be for the cases, where $F=G$ (or $F=cG$, $c \in k$). In this case, $m=n$, and $A=B$. Then the dimension is $\sum_{i=1}^m (i) = (m+1)m/2$.

Is there anything in between? I don't know, I'll think about it later.

## 27.3.2020 - all the solutions for $F$ and $G$ of order $2$.

After the success with finding the conditions for all the solutions of the form $(A,B) = (A_{n-i},B_{m-i})$, i've been trying to go for the solutions of the form $(A,B) = (A_{n-i} + A_{n-i-1},B_{m-i} + B_{m-i-1})$, but with no luck so far.

Finally yesterday, i've managed to get it done at least for the polynomials of the order $2$, therefore the solutions are of the form $(A,B) = (A_{1} + A_{0},B_{1} + B_{0})$. If $F$ and $G$ are of the order $2$, that means they can be written as $$F = F_2 + F_3 + \cdots,$$ $$G = G_2 + G_3 + \cdots.$$ There are five (EDIT: plus 2 at the end) possible cases of the form of $(A,B)$ (where $A_i$, $B_i$ are homogeneous of degree $i$):

1. $(A,B) = (A_0,B_0)$ - already solved
2. $(A,B) = (A_1,B_1)$ - already solved
3. $(A,B) = (A_1 + A_0,B_1)$ - no such solutions exist
4. $(A,B) = (A_1,B_1 + B_0)$ - no such solutions exist
5. $(A,B) = (A_1 + A_0,B_1 + B_0)$ - the solution follows:

Let $L$ and $K$ be the tangents of the curve $G$ at $0$. If we divide $G_3$ by the polynomial $LK$, we get $G_3 = (KL)V_1 + G'_3$, where $V_1$ is a polynomial (homogeneous of the degree $1$, or equal to zero) and $G'_3$ is the remainder (homogeneous of the degree 3, or equal to $0$). Analogously, $F_3 = (KL)W_1 + F'_3$

THE RESULT IS: The solutions of the form $(A,B) = (A_1 + A_0,B_1 + B_0)$ exist if and only if $F$ and $G$ are of the form $$F = F_2 + F_3 + \cdots = cKL + c((KL)W_1 + G'_3)) + \cdots$$ $$G = G_2 +G_3 + \cdots = KL + ((KL)V_1 + G'_3) + \cdots,$$ i.e. they have to share the same tangents, and at the homogeneous part of the degree $3$, the part divisible by $(KL)$ can be arbitrary, but the remainder part have to be identical. This is all up to a multiple by some scalar $c \in k$.

Then all the solutions $(A,B) \in \ker(\psi)$ are $$A = a_0 + a_1L + a_2K,$$ $$B = c(a_0 + (a_1 - a_0(j-f))L + (a_2 - a_0(k-g)K)),$$ where $a_i \in k$ (the numbers $j,f,k,g \in k$ are defined by some parts of $V_1$ and $W_1$, i'll write it down later). Therefore the dimension of the kernel is $3$.

If the remainder part is equal to zero, we fall into $(A_1,B_1)$ cathegory. If $V_1 = W_1$, we fall into the $(A_0,B_0)$ cathegory.

6. EDIT: i just realized, i completely forgot $(A,B) = (A_1 + A_0,B_0)$ and $(A,B) = ( A_0,B_1 + B_0)$, but i think they are part of the solution in the case $5$.

I also have the proof writen down, but in a very ugly form.

These are all the solutions, where $F$ and $G$ are of the order $2$. But these are NOT all the polynomials $F$ and $G$, which have the solutions of the form $(A,B) = (A_1 + A_0,B_1 + B_0)$.

The solution of this simple case could suggest what kind of solutions should we expect in more complicated parts.