MHB Why is the characteristic different from 2?

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Hello! (Wave)

In my notes, there is the following theorem:

Theorem:

Let $Q(X_1, X_2, \dots, X_n)=\sum_{i,j=1}^n a_{ij} X_i X_j$

$$a_{ij}=a_{ji}, \ \ \ \ ch K \neq 2 ( \text{ Characteristic of polynomial })$$

symmetric quadratic form of $n$ variables.

There is a linear transformation of the coordinates, so that, finally, $Q(X_1, X_2, \dots, X_n)$ is transformated to the form:

$$Q'(X_1, X_2, \dots, X_n)=\sum_{i=1}^r l_i X_i^2, i=1,2, \dots, r, l_i \neq 0$$How do we conclude that $ch K \neq 2$ ? (Thinking)
 
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evinda said:
Hello! (Wave)

In my notes, there is the following theorem:

Theorem:

Let $Q(X_1, X_2, \dots, X_n)=\sum_{i,j=1}^n a_{ij} X_i X_j$

$$a_{ij}=a_{ji}, \ \ \ \ ch K \neq 2 ( \text{ Characteristic of polynomial })$$

symmetric quadratic form of $n$ variables.

There is a linear transformation of the coordinates, so that, finally, $Q(X_1, X_2, \dots, X_n)$ is transformated to the form:

$$Q'(X_1, X_2, \dots, X_n)=\sum_{i=1}^r l_i X_i^2, i=1,2, \dots, r, l_i \neq 0$$How do we conclude that $ch K \neq 2$ ? (Thinking)

Hey! (Happy)Can you clarify what you mean by $\text{ch K}$? (Wondering)I can tell you that the spectral theorem for real symmetric matrices says that:
$$A = B^T D B$$
where $D$ is a diagonal matrix of real eigenvalues and $B$ is an orthogonal matrix of eigenvectors. (Nerd)

It follows that:
$$Q = x^T A x = x^T (B^T D B) x = (Bx)^T D (Bx)$$

In other words, $B$ identifies the linear transformation and the $l_i$ are the eigenvalues. (Mmm)
 
evinda said:
Hello! (Wave)

In my notes, there is the following theorem:

Theorem:

Let $Q(X_1, X_2, \dots, X_n)=\sum_{i,j=1}^n a_{ij} X_i X_j$

$$a_{ij}=a_{ji}, \ \ \ \ ch K \neq 2 ( \text{ Characteristic of polynomial })$$

symmetric quadratic form of $n$ variables.

There is a linear transformation of the coordinates, so that, finally, $Q(X_1, X_2, \dots, X_n)$ is transformated to the form:

$$Q'(X_1, X_2, \dots, X_n)=\sum_{i=1}^r l_i X_i^2, i=1,2, \dots, r, l_i \neq 0$$How do we conclude that $ch K \neq 2$ ? (Thinking)
The statement $\text{ch}\,K \ne2$ is not a conclusion, it is a condition. In fact, the result fails if the characteristic of the underlying field (not the polynomial!) is $2$.
 
Thread 'How to define a vector field?'
Hello! In one book I saw that function ##V## of 3 variables ##V_x, V_y, V_z## (vector field in 3D) can be decomposed in a Taylor series without higher-order terms (partial derivative of second power and higher) at point ##(0,0,0)## such way: I think so: higher-order terms can be neglected because partial derivative of second power and higher are equal to 0. Is this true? And how to define vector field correctly for this case? (In the book I found nothing and my attempt was wrong...

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