Introduction to Tensor Analysis

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A01=Bipin Singh Koranga
A01=Sanjay Kumar Padaliya
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Alternate Tensor
Author_Bipin Singh Koranga
Author_Sanjay Kumar Padaliya
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Cartesian Tensor
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Christoffel Symbol
Contravariant Vector
coordinate transformations
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Covariant Derivative
Covariant Tensor
Covariant Vector
Curvilinear Coordinates
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Directed Line Segments
Direction Cosines
Energy Momentum Tensor
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General Tensor
Inertia Tensor
invariance principles
Isotropic Tensor
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Lorentz Transformation
mathematical physics
Minkowski Space
Notation Suffixes
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Point Function
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Rectangular Cartesian System
rectangular coordinate systems
Scalar Triple Product
Skew Symmetric Tensor
softlaunch
suffix notation
tensor transformation laws
three-dimensional space
Transformation Law
Usual Algebra
Vice Versa

Product details

  • ISBN 9788770043212
  • Weight: 230g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Oct 2024
  • Publisher: River Publishers
  • Publication City/Country: DK
  • Product Form: Paperback
  • Language: English
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The subject of Tensor Analysis deals with the problem of the formulation of the relation between various entities in forms which remain invariant when we pass from one system of coordinates to another. The invariant form of equation is necessarily related to the possible system of coordinates with reference to which the equation remains invariant. The primary purpose of this book is the study of the invariance form of equation relative to the totally of the rectangular co-ordinate system in the three-dimensional Euclidean space. We start with the consideration of the way the sets representing various entities are transformed when we pass from one system of rectangular co-ordinates to another. A Tensor may be a physical entity that can be described as a Tensor only with respect to the manner of its representation by means of multi-sux sets associated with different system of axes such that the sets associated with different system of co-ordinate obey the transformation law for Tensor. We have employed sux notation for tensors of any order, we could also employ single letter such A,B to denote Tensors.

Bipin Singh Koranga, Sanjay Kumar Padaliya

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