EconPapers    
Economics at your fingertips  
 

Elements of Linear Algebra in Tensor Notation

Pavel Grinfeld
Additional contact information
Pavel Grinfeld: Drexel University, Department of Mathematics

Chapter Chapter 7 in Introduction to Tensor Analysis and the Calculus of Moving Surfaces, 2013, pp 93-104 from Springer

Abstract: Abstract Linear algebra and tensor algebra are inextricably linked. The mechanics of these subjects are similar: linear combinations dominate calculations and change of coordinates (referred to as change of basis in linear algebra) is of primary interest. Some ideas are best expressed with matrix notation while others are best expressed with tensors. Matrix notation is more effective at expressing the overall algebraic structure of a calculation.

Keywords: Tensor Notation; Matrix Notation; Tensor Algebra; Quadratic Form Optimization; Self-adjoint Transformation (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-7867-6_7

Ordering information: This item can be ordered from
http://www.springer.com/9781461478676

DOI: 10.1007/978-1-4614-7867-6_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-12
Handle: RePEc:spr:sprchp:978-1-4614-7867-6_7