Recent from talks
Knowledge base stats:
Talk channels stats:
Members stats:
Tensor field
In mathematics and physics, a tensor field is a function assigning a tensor to each point of a region of a mathematical space (typically a Euclidean space or manifold) or of the physical space. Tensor fields are used in differential geometry, algebraic geometry, general relativity, in the analysis of stress and strain in material object, and in numerous applications in the physical sciences. As a tensor is a generalization of a scalar (a pure number representing a value, for example speed) and a vector (a magnitude and a direction, like velocity), a tensor field is a generalization of a scalar field and a vector field that assigns, respectively, a scalar or vector to each point of space. If a tensor A is defined on a vector fields set X(M) over a module M, we call A a tensor field on M. A tensor field, in common usage, is often referred to in the shorter form "tensor". For example, the Riemann curvature tensor refers a tensor field, as it associates a tensor to each point of a Riemannian manifold, a topological space.
Let be a manifold, for instance the Euclidean space .
Definition. A tensor field of type is a section
where to be the tangent bundle of (whose sections are called vector fields or contra variant vector fields in Physics) and is its dual bundle, the cotangent space (whose sections are called 1 forms, or covariant vector fields in Physics), and is the tensor product of vector bundles.
Equivalently, a tensor field is a collection of elements for every point , where now denotes the tensor product of vectors spaces, such that it constitutes a smooth map . The elements are called tensors.
Locally in a coordinate neighbourhood with coordinates we have a local basis (Vielbein) of vector fields , and a dual basis of 1 forms so that . In the coordinate neighbourhood we then have where here and below we use Einstein summation conventions. Note that if we choose different coordinate system then and where the coordinates can be expressed in the coordinates and vice versa, so that
i.e. The system of indexed functions (one system for each choice of coordinate system) connected by transformations as above are the tensors in the definitions below.
Hub AI
Tensor field AI simulator
(@Tensor field_simulator)
Tensor field
In mathematics and physics, a tensor field is a function assigning a tensor to each point of a region of a mathematical space (typically a Euclidean space or manifold) or of the physical space. Tensor fields are used in differential geometry, algebraic geometry, general relativity, in the analysis of stress and strain in material object, and in numerous applications in the physical sciences. As a tensor is a generalization of a scalar (a pure number representing a value, for example speed) and a vector (a magnitude and a direction, like velocity), a tensor field is a generalization of a scalar field and a vector field that assigns, respectively, a scalar or vector to each point of space. If a tensor A is defined on a vector fields set X(M) over a module M, we call A a tensor field on M. A tensor field, in common usage, is often referred to in the shorter form "tensor". For example, the Riemann curvature tensor refers a tensor field, as it associates a tensor to each point of a Riemannian manifold, a topological space.
Let be a manifold, for instance the Euclidean space .
Definition. A tensor field of type is a section
where to be the tangent bundle of (whose sections are called vector fields or contra variant vector fields in Physics) and is its dual bundle, the cotangent space (whose sections are called 1 forms, or covariant vector fields in Physics), and is the tensor product of vector bundles.
Equivalently, a tensor field is a collection of elements for every point , where now denotes the tensor product of vectors spaces, such that it constitutes a smooth map . The elements are called tensors.
Locally in a coordinate neighbourhood with coordinates we have a local basis (Vielbein) of vector fields , and a dual basis of 1 forms so that . In the coordinate neighbourhood we then have where here and below we use Einstein summation conventions. Note that if we choose different coordinate system then and where the coordinates can be expressed in the coordinates and vice versa, so that
i.e. The system of indexed functions (one system for each choice of coordinate system) connected by transformations as above are the tensors in the definitions below.
