Fundamentals of Linear Algebra

Regular price €142.99
A01=J.S. Chahal
Age Group_Uncategorized
Age Group_Uncategorized
Author_J.S. Chahal
automatic-update
B2 B3 C1 C2 C3
Bijective Linear Map
Category1=Non-Fiction
Category=PBCD
Category=PBF
Category=PBW
Cayley Hamilton Theorem
Characteristic Polynomial
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Determinant Function
determinants
Engineering Applications
eq_isMigrated=2
Finite Dimensional Vector Space
Finite Field
Gram Schmidt Process
Language_English
Linear Algebra
Linear Map
Linear Transformation
Linear Transformations
Linearly Independent
Martix Alegbra
Matrices
Minimal Polynomial
Orthonormal Basis
PA=Available
Price_€100 and above
PS=Active
Quadratic Form
Real Matrix
Real Symmetric Matrix
Real Valued Function
Row Echelon Form
Row Rank
Row Reduce
softlaunch
Space Time Coordinates
Transition Matrix
Usual Dot Product
Vector Space
Vector Spaces

Product details

  • ISBN 9781138590502
  • Weight: 476g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Dec 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days: On Backorder

Will Deliver When Available: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

Fundamentals of Linear Algebra is like no other book on the subject. By following a natural and unified approach to the subject it has, in less than 250 pages, achieved a more complete coverage of the subject than books with more than twice as many pages. For example, the textbooks in use in the United States prove the existence of a basis only for finite dimensional vector spaces. This book proves it for any given vector space.

With his experience in algebraic geometry and commutative algebra, the author defines the dimension of a vector space as its Krull dimension. By doing so, most of the facts about bases when the dimension is finite, are trivial consequences of this definition. To name one, the replacement theorem is no longer needed. It becomes obvious that any two bases of a finite dimensional vector space contain the same number of vectors. Moreover, this definition of the dimension works equally well when the geometric objects are nonlinear.

Features:

  • Presents theories and applications in an attempt to raise expectations and outcomes
  • The subject of linear algebra is presented over arbitrary fields
  • Includes many non-trivial examples which address real-world problems

Dr. J.S. Chahal is a professor of mathematics at Brigham Young University. He received his Ph.D. from Johns Hopkins University and after spending a couple of years at the University of Wisconsin as a post doc, he joined Brigham Young University as an assistant professor and has been there ever since. He specializes and has published a number of papers about number theory. For hobbies, he likes to travel and hike, the reason he accepted the position at Brigham Young University.