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author committer bryan newbold 2008-07-29 03:33:50 -0400 bryan newbold 2008-07-29 03:33:50 -0400 ee2b54548a21ff05fe520b4b774a9b7ab7e13b39 (patch) ff0b9bdba9d207c77908d963f1e3ae7670ec9f92 /math 8c62b232273c58cf9cd6a939ad61b05a9725ebce (diff) knowledge-ee2b54548a21ff05fe520b4b774a9b7ab7e13b39.tar.gzknowledge-ee2b54548a21ff05fe520b4b774a9b7ab7e13b39.zip
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 diff --git a/math/tensors b/math/tensorsindex 8fda6a5..e95a96a 100644--- a/math/tensors+++ b/math/tensors@@ -23,46 +23,47 @@ Components of a vector: Directional Derivatives: consider a scalar function defined on a manifold \Psi(P) \partial_\vector{A} \Psi = A^\alpha \frac{\partial \Psi}{\partial \Chi^\alpha} - ????????- Mathematicians like to say that the coordinate bases are actually directional derivatives Tensors ------------ -A tensor T has a number of slots (say 3) and takes a vector in each slot and returns a real number. It is linear in vectors.+A **tensor** :m:$\bold{T}$ has a number of slots (called it's **rank**), takes a vector in each slot, and returns a real number. It is linear in vectors; +as an example for a rank-3 tensor: -\epic{T} ( \alpha \vector{A} + \beta \vector{B}, \vector{C}, \vector{D}) =- \alpha \epic{T} (\vector{A}, \vector{C}, \vector{D}) +- \beta \epic{T} (\vector{B}, \vector{C}, \vector{D}) +:m:$$\bold{T} ( \alpha \vector{A} + \beta \vector{B}, \vector{C}, \vector{D}) =+ \alpha \bold{T} (\vector{A}, \vector{C}, \vector{D}) ++ \beta \bold{T} (\vector{B}, \vector{C}, \vector{D})$$ -The number of "slots" is the rank of the tensor.+Even a regular vector is a tensor: pass it a second vector and take the +inner product (aka dot product) to get a real. -Even a regular vector is a tensor: pass it a second vector and take the dot-product to get a real.+Define the **metric tensor** +:m:$\bold{g}(\vector{A}, \vector{B}) = \vector{A} \dot \vector{B}$. The +metric tensor is rank two and symetric (the vectors A and B could be swapped +without changing the scalar output value) and is the same as the inner product. -Define the metric tensor g(\vector{A}, \vector{B}) = \vector{A} \dot \vector{B}+:m:$$\Delta P \dot \Delta P \equiv \Delta P^2 \equiv (length of \Delta P)^2 A \dot B = 1/4[ (A+B)^2 - (A-B)^2 ]$$ -Inner Product:- \Delta P \dot \Delta P \equiv \Delta P^2 \equiv (length of \Delta P)^2- A \dot B = 1/4[ (A+B)^2 - (A-B)^2 ]+Starting with individual vectors, we can construct tensors by taking the +product of their inner products with empty slots; for example -Tensor Product:- ????????????????+:m:$$\vector{A} \crossop \vector{B} \crossop \vector{C} (\_ ,\_ ,\_)$$ +:m:$$\vector{A} \crossop \vector{B} \crossop \vector{C} (\vector{E}, \vector{F}, \vector{G}) = ( \vector{A} \dot \vector{E})(\vector{B} \dot \vector{F})(\vecotr{C} \dot \vector{G})$$ Spacetime -------------- Two types of vectors. -Timelike: \vector{\Delta P}+Timelike: :m:$\vector{\Delta P}$ (\vector{\Delta P})^2 = -(\Delta \Tau)^2 Spacelike: \vector{\Delta Q} (\vector{\Delta Q})^2 = +(\Delta S)^2 Because product of "up" and "down" basis vectors must be a positive Kronecker -delta, and timelikes squared come out negative, the time "up" basis must be -negative of the time "down" basis vector.-+delta, and timelikes squared come out negative, the time "up" basis must be negative of the time "down" basis vector. +lides.pdf+bnewbold@snark\$ xzg