Skip to main content
added 1 character in body
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$ The motivation for consideration of a big number as $10$ in $X$ is the following:

**Note:**IfNote: If we choose the vector field $$X=(y-\epsilon x)\partial_x-x\partial_y$$ where $|\epsilon|<2$ then there is no an analytic Riemannian metric $g$ with $X=\text{grad}_g$. Because the orbits tend to the singularity at the origin, spirally. This means that the singularity is a focus singularity. On the other hand the Riemannian version of the Thom gradient conjecture says that if an orbit of an analytic gradient vector field tends to an isolated singularity then it must approach to the singularity in a specific direction. Of course a focus singularity violate this condition.

Shahshahani Gradient: As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$ The motivation for consideration of a big number as $10$ in $X$ is the following:

**Note:**If we choose the vector field $$X=(y-\epsilon x)\partial_x-x\partial_y$$ where $|\epsilon|<2$ then there is no an analytic Riemannian metric $g$ with $X=\text{grad}_g$. Because the orbits tend to the singularity at the origin, spirally. This means that the singularity is a focus singularity. On the other hand the Riemannian version of the Thom gradient conjecture says that if an orbit of an analytic gradient vector field tends to an isolated singularity then it must approach to the singularity in a specific direction. Of course a focus singularity violate this condition.

Shahshahani Gradient: As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$ The motivation for consideration of a big number as $10$ in $X$ is the following:

Note: If we choose the vector field $$X=(y-\epsilon x)\partial_x-x\partial_y$$ where $|\epsilon|<2$ then there is no an analytic Riemannian metric $g$ with $X=\text{grad}_g$. Because the orbits tend to the singularity at the origin, spirally. This means that the singularity is a focus singularity. On the other hand the Riemannian version of the Thom gradient conjecture says that if an orbit of an analytic gradient vector field tends to an isolated singularity then it must approach to the singularity in a specific direction. Of course a focus singularity violate this condition.

Shahshahani Gradient: As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

added 770 characters in body
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$ The motivation for consideration of a big number as $10$ in $X$ is the following:

As**Note:**If we choose the vector field $$X=(y-\epsilon x)\partial_x-x\partial_y$$ where $|\epsilon|<2$ then there is no an analytic Riemannian metric $g$ with $X=\text{grad}_g$. Because the orbits tend to the singularity at the origin, spirally. This means that the singularity is a focus singularity. On the other hand the Riemannian version of the Thom gradient conjecture says that if an orbit of an analytic gradient vector field tends to an isolated singularity then it must approach to the singularity in a specific direction. Of course a focus singularity violate this condition.

Shahshahani Gradient: As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$

As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$ The motivation for consideration of a big number as $10$ in $X$ is the following:

**Note:**If we choose the vector field $$X=(y-\epsilon x)\partial_x-x\partial_y$$ where $|\epsilon|<2$ then there is no an analytic Riemannian metric $g$ with $X=\text{grad}_g$. Because the orbits tend to the singularity at the origin, spirally. This means that the singularity is a focus singularity. On the other hand the Riemannian version of the Thom gradient conjecture says that if an orbit of an analytic gradient vector field tends to an isolated singularity then it must approach to the singularity in a specific direction. Of course a focus singularity violate this condition.

Shahshahani Gradient: As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

added 79 characters in body
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$

As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

Consider the vector field $$X=(y-10x)\partial_x-x\partial_y$$ it is not a gradient vector field with respect to the standard Riemannian metric of $\mathbb{R}^2$ but it is a gradient vector field with respect to the Riemannian metric $$g=5dx\otimes dx-dx\otimes dy -dy\otimes dx +5dy\otimes dy$$

For this metric we have $X=grad_g f$ where $f(x,y)=-1/2(49x^2-10xy+y^2)$

As an interesting example, please search "Shahshahani Gradient". This gradient corresponds to a Riemannian metric on the phase space of certain vector field which is not a gradient system with respect to the standard metric but is a gradient vector field with respect to the Shahshahani Riemannian metric.

See here for some explanation on Shahshahani metric.

added 330 characters in body
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123
Loading
added 330 characters in body
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123
Loading
Source Link
Ali Taghavi
  • 356
  • 8
  • 31
  • 123
Loading