Coordinate free definition of hessian

In summary, the Hessian of f at a point p is a (0,2) tensor, defined as a bilinear map that transforms in a covariant manner under coordinate transformations.
  • #1
latentcorpse
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Let M be a manifold and [itex]f: M \rightarrow \mathbb{R}[/itex] be a smooth function such that df=0 at some point [itex]p \in M[/itex]. Let [itex]\{ x^\mu \}[/itex] be a coordinate chart defined in a neighbourhood of p. Define

[itex]F_{\mu \nu} = \frac{ \partial f}{ \partial x^\mu \partial x^\nu }[/itex]

By considering the transoformation law for components show that [itex]F_{\mu \nu}[/itex] defines a (0,2) tensor, the Hessian of f at p. Construct also a coordinate free definition and demonstrate its tensorial properties.

I don't really know what I'm supposed to do in order to demonstrate that this defines a (0,2) tensor?
 
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  • #2
Could someone help me out? A (0,2) tensor is a tensor of type (0,2), which means that it is a covariant rank-2 tensor field. This can be defined coordinate free as a bilinear map from a vector space V to its dual V*, given by F : V \times V \rightarrow \mathbb{R}such that F(v,w) = F(w,v) and F(cv,w) = cF(v,w) for any v,w \in V and c \in \mathbb{R}. To demonstrate the tensorial properties of the Hessian of f at p, we can start by considering the transformation law for components. Let x'^{\mu'} be a new coordinate chart defined in a neighbourhood of p, then the components of the Hessian can be expressed as F'_{\mu' \nu'} = \frac{\partial f}{\partial x'^{\mu'} \partial x'^{\nu'}}. We can relate these components to the original components by the chain rule as F'_{\mu' \nu'} = \frac{\partial x^\mu}{\partial x'^{\mu'}} \frac{\partial x^\nu}{\partial x'^{\nu'}} F_{\mu \nu}. This shows that the Hessian of f transforms in the same way as a (0,2) tensor, i.e. it is a (0,2) tensor.
 

What is the coordinate-free definition of the Hessian?

The Hessian is a mathematical matrix that describes the second-order partial derivatives of a function. It can be defined without reference to a specific coordinate system and is therefore considered a coordinate-free quantity.

Why is it important to have a coordinate-free definition of the Hessian?

Having a coordinate-free definition of the Hessian allows for a more general and abstract understanding of this mathematical concept. It also makes it easier to apply the Hessian in different coordinate systems without having to derive a new definition each time.

How is the coordinate-free Hessian related to the Hessian in a specific coordinate system?

The coordinate-free Hessian is equivalent to the Hessian in a specific coordinate system. It is a more abstract representation of the same mathematical concept, and can be transformed into a specific coordinate system using a change of variables.

Can the coordinate-free Hessian be used for any type of function?

Yes, the coordinate-free Hessian can be used for any differentiable function, regardless of its dimension or the number of variables it depends on. It is a general mathematical concept that applies to a wide range of functions.

How is the coordinate-free Hessian calculated?

The coordinate-free Hessian can be calculated using a differential geometry approach, by considering the curvature of the function's level sets. It can also be calculated using a coordinate-based approach, by taking the second-order partial derivatives of the function in a specific coordinate system.

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