Inner product computations on manifolds

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SUMMARY

The discussion focuses on computing inner products on manifolds, specifically addressing the inner product between vectors and 1-forms. The inner product of a vector field \(X\) and a 1-form \(\omega\) is defined as \(\langle \omega, X \rangle = \omega(X)\). For two vectors \(X\) and \(Y\), the computation involves converting the first vector \(X\) into a 1-form \(X^\flat\) using the metric \(g\), leading to the expression \(\langle X, Y \rangle = g(X, Y)\). This establishes the relationship between inner products and the metric tensor on manifolds.

PREREQUISITES
  • Understanding of differential geometry concepts, particularly manifolds
  • Familiarity with inner product spaces and metrics
  • Knowledge of 1-forms and vector fields
  • Proficiency in tensor notation and operations
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  • Study the properties of the metric tensor in Riemannian geometry
  • Learn about the conversion of vectors to covectors using the metric
  • Explore the implications of inner products in the context of curvature
  • Investigate applications of inner products in physics, particularly in general relativity
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Mathematicians, physicists, and students of differential geometry who are interested in the computations of inner products on manifolds and their applications in various fields.

FuzzyFungi
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Hi there! I have a pretty basic question about how to compute an inner product \left\langle\omega, X\right\rangle on a manifold.

I understand that, if both arguments are vectors (or vector fields) and we're in euclidean space, the computation is exactly as if I were doing a dot product. However, if we're in a manifold (Lets say... On the surface of a unit sphere in \Re^3) how would the computation be done?

What if the first argument is a 1-form?

From what I've read, I've found lots of helpful information concerning properties of inner products, their usefulness as metrics, and nice identities with them. But when it comes to finding the value of one, I am lost.

Thanks!
 
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My understanding has always been that the inner product of a 1-form and a vector is given by \langle \omega, X \rangle = \omega(X)

For the inner product of two vectors, we first have to convert the first vector to a 1-form. If X is a vector then the corresponding 1-form or covector is denoted X^\flat and is given by X^\flat(Y) = g(X,Y). If the components of X in some coordinate system are X^i then the components of X^\flat will be X_j = g_{ij}X^i. I.e. X^\flat = X_j dx^j = g_{ij}X^i dx^j.

So \langle X,Y \rangle := \langle X^\flat,Y \rangle = X^\flat(Y) = g(X,Y) and g is really our inner product of vectors.

I hope that makes sense
 

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