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Are all linear vector fieldfields geodesible vector fieldfields?

I had already asked this question in MSE then I ask here at MO.

Assume that $A\in M_n(\mathbb{R})$ is a non singular matrix.

Is the flow of the linear vector field $X'=AX$ a geodesible flow on $\mathbb{R}^n \setminus \{0\}$?Namely Namely, is there a Riemannian metric on $\mathbb{R}^n \setminus \{0\}$ such that the trajectories of the linear vector field are unparametrized geodesics?

Remark: For $n=2$ the answer is affirmative, as we explain below:

Fact: A linear vector field associated to a non singular$ 2 \times 2$ $2 \times 2$ real matrix is a geodesible vector field on the punctured plane.

Proof:

Let $A$ be an invertible matrix. We denote by $X$ the linear vector field associated to $A$.

We consider two cases:

1)$A^2$ has no real eigenvalue.

  1. $A^2$ has real eigenvalue.
  1. $A^2$ has no real eigenvalue.

  2. $A^2$ has a real eigenvalue.

Case 1) In this case the linear vector field $Y$ associated to the matrix $A^{-1}$ is transverse to $X$ on the punturedpunctured plane and satisfies $[X,Y]=0$ this. This obviously implies that $X$ is a geodesible vector field.

Case 2) If $A^2$ has a real eigenvalue then  $A$ is similar to one of the following matrices:

$$\begin{pmatrix} a&0\\ 0& b \end{pmatrix}\;; \begin{pmatrix} a&\epsilon\\ 0& a \end{pmatrix} \;;\begin{pmatrix} 0&b\\ -b& 0 \end{pmatrix} $$$$\begin{pmatrix} a&0\\ 0& b \end{pmatrix};\; \begin{pmatrix} a&\epsilon\\ 0& a \end{pmatrix} ;\;\begin{pmatrix} 0&b\\ -b& 0 \end{pmatrix}.$$ For the first matrix the closed one form $\psi=axdx+bydy$$1$-form $\psi=ax\,dx+by\,dy$ satisfies $\psi(X)>0$.So So $X$ is a geodesible vector field. For the second matrix the $1$-form $\psi=axdx+aydy$$\psi=ax\,dx+ay\,dy$ satisfies $\psi(X)>0$. For the third matrix the vector field is geodesible because we have a foliation of the punctured plane by closed curvecurves.

The reason of geodesibility of case $1$1 and the three matrices in case $2$2 is discussed in the following post Finding a 1-form adapted to a smooth flow, which is essentially based on page 71 of "Geometry of foliation " by Philip Toender, Propsition $6.7$Propsitions 6.7 and $6.8$

Finding a 1-form adapted to a smooth flow6.8.

Please see also thisthe related post:

  Is every real matrix conjugate to a semi antisymmetric matrix?.

Are all linear vector field geodesible vector field?

I had already asked this question in MSE then I ask here at MO

Assume that $A\in M_n(\mathbb{R})$ is a non singular matrix.

Is the flow of linear vector field $X'=AX$ a geodesible flow on $\mathbb{R}^n \setminus \{0\}$?Namely, is there a Riemannian metric on $\mathbb{R}^n \setminus \{0\}$ such that the trajectories of the linear vector field are unparametrized geodesics?

Remark: For $n=2$ the answer is affirmative, as we explain below:

Fact: A linear vector field associated to a non singular$ 2 \times 2$ real matrix is a geodesible vector field on the punctured plane.

Proof:

Let $A$ be an invertible matrix. We denote by $X$ the linear vector field associated to $A$.

We consider two cases:

1)$A^2$ has no real eigenvalue.

  1. $A^2$ has real eigenvalue.

Case 1) In this case the linear vector field $Y$ associated to matrix $A^{-1}$ is transverse to $X$ on the puntured plane and satisfies $[X,Y]=0$ this obviously implies that $X$ is a geodesible vector field.

Case 2) If $A^2$ has real eigenvalue then  $A$ is similar to one of the following matrices:

$$\begin{pmatrix} a&0\\ 0& b \end{pmatrix}\;; \begin{pmatrix} a&\epsilon\\ 0& a \end{pmatrix} \;;\begin{pmatrix} 0&b\\ -b& 0 \end{pmatrix} $$ For the first matrix the closed one form $\psi=axdx+bydy$ satisfies $\psi(X)>0$.So $X$ is a geodesible vector field. For the second matrix the $1$-form $\psi=axdx+aydy$ satisfies $\psi(X)>0$. For the third matrix the vector field is geodesible because we have a foliation of punctured plane by closed curve.

The reason of geodesibility of case $1$ and three matrices in case $2$ is discussed in the following post which is essentially based on page 71 of "Geometry of foliation " by Philip Toender, Propsition $6.7$ and $6.8$

Finding a 1-form adapted to a smooth flow

Please see also this related post:

Is every real matrix conjugate to a semi antisymmetric matrix?

Are all linear vector fields geodesible vector fields?

I had already asked this question in MSE then I ask here at MO.

Assume that $A\in M_n(\mathbb{R})$ is a non singular matrix.

Is the flow of the linear vector field $X'=AX$ a geodesible flow on $\mathbb{R}^n \setminus \{0\}$? Namely, is there a Riemannian metric on $\mathbb{R}^n \setminus \{0\}$ such that the trajectories of the linear vector field are unparametrized geodesics?

Remark: For $n=2$ the answer is affirmative, as we explain below:

Fact: A linear vector field associated to a non singular $2 \times 2$ real matrix is a geodesible vector field on the punctured plane.

Proof:

Let $A$ be an invertible matrix. We denote by $X$ the linear vector field associated to $A$.

We consider two cases:

  1. $A^2$ has no real eigenvalue.

  2. $A^2$ has a real eigenvalue.

Case 1) In this case the linear vector field $Y$ associated to the matrix $A^{-1}$ is transverse to $X$ on the punctured plane and satisfies $[X,Y]=0$. This obviously implies that $X$ is a geodesible vector field.

Case 2) If $A^2$ has a real eigenvalue then $A$ is similar to one of the following matrices:

$$\begin{pmatrix} a&0\\ 0& b \end{pmatrix};\; \begin{pmatrix} a&\epsilon\\ 0& a \end{pmatrix} ;\;\begin{pmatrix} 0&b\\ -b& 0 \end{pmatrix}.$$ For the first matrix the closed $1$-form $\psi=ax\,dx+by\,dy$ satisfies $\psi(X)>0$. So $X$ is a geodesible vector field. For the second matrix the $1$-form $\psi=ax\,dx+ay\,dy$ satisfies $\psi(X)>0$. For the third matrix the vector field is geodesible because we have a foliation of the punctured plane by closed curves.

The reason of geodesibility of case 1 and the three matrices in case 2 is discussed in Finding a 1-form adapted to a smooth flow, which is essentially based on page 71 of "Geometry of foliation " by Philip Toender, Propsitions 6.7 and 6.8.

Please see also the related post  Is every real matrix conjugate to a semi antisymmetric matrix?.

Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123

Are all linear vector field geodesible vector field?

I had already asked this question in MSE then I ask here at MO

Assume that $A\in M_n(\mathbb{R})$ is a non singular matrix.

Is the flow of linear vector field $X'=AX$ a geodesible flow on $\mathbb{R}^n \setminus \{0\}$?Namely, is there a Riemannian metric on $\mathbb{R}^n \setminus \{0\}$ such that the trajectories of the linear vector field are unparametrized geodesics?

Remark: For $n=2$ the answer is affirmative, as we explain below:

Fact: A linear vector field associated to a non singular$ 2 \times 2$ real matrix is a geodesible vector field on the punctured plane.

Proof:

Let $A$ be an invertible matrix. We denote by $X$ the linear vector field associated to $A$.

We consider two cases:

1)$A^2$ has no real eigenvalue.

  1. $A^2$ has real eigenvalue.

Case 1) In this case the linear vector field $Y$ associated to matrix $A^{-1}$ is transverse to $X$ on the puntured plane and satisfies $[X,Y]=0$ this obviously implies that $X$ is a geodesible vector field.

Case 2) If $A^2$ has real eigenvalue then $A$ is similar to one of the following matrices:

$$\begin{pmatrix} a&0\\ 0& b \end{pmatrix}\;; \begin{pmatrix} a&\epsilon\\ 0& a \end{pmatrix} \;;\begin{pmatrix} 0&b\\ -b& 0 \end{pmatrix} $$ For the first matrix the closed one form $\psi=axdx+bydy$ satisfies $\psi(X)>0$.So $X$ is a geodesible vector field. For the second matrix the $1$-form $\psi=axdx+aydy$ satisfies $\psi(X)>0$. For the third matrix the vector field is geodesible because we have a foliation of punctured plane by closed curve.

The reason of geodesibility of case $1$ and three matrices in case $2$ is discussed in the following post which is essentially based on page 71 of "Geometry of foliation " by Philip Toender, Propsition $6.7$ and $6.8$

Finding a 1-form adapted to a smooth flow

Please see also this related post:

Is every real matrix conjugate to a semi antisymmetric matrix?