Fundamentals of Linear Algebra – Chahal


Download Fundamentals of Linear Algebra – Chahal written by J.S. Chahal in PDF format. This book is under the category Algebra and bearing the isbn/isbn13 number 1138590509; 0429425473; 0429758103/9781138590502/ 9780429425479/ 9780429758102. You may reffer the table below for additional details of the book.


Chahal’s Fundamentals of Linear Algebra (PDF) is like no different ebook on the topic. By following a unified and pure method to the topic it has; in lower than 250 pages; achieved a extra thorough protection of the subject than ebooks with greater than twice as many pages. For occasion; the textbooks in use within the United States show the existence of a foundation just for finite-dimensional vector areas. This ebook proves it for any given vector house.

With his expertise in algebraic geometry and commutative algebra; the creator; J.S. Chahal; in Fundamentals of Linear Algebra (Textbooks in Mathematics) explains the dimension of a vector house as its Krull dimension. By doing so; most of the small print about bases when the dimension is finite; are trivial penalties of this definition. To title one; the substitute theorem isn’t wanted anymore. It turns into evident that any two bases of a finite-dimensional vector house include the identical quantity of vectors. Furthermore; this definition of the dimension works equally nicely when the geometric objects are nonlinear.

    • The matter of linear algebra is offered over arbitrary fields
    • Includes a number of non-trivial examples which deal with actual-world issues
    • Presents theories and functions in an effort to lift expectations and outcomes

NOTE: The product solely consists of the ebook Fundamentals of Linear Algebra in PDF. No access codes are included.

Additional information


J.S. Chahal


Chapman and Hall/CRC; 1st edition










1138590509; 0429425473; 0429758103


9781138590502/ 9780429425479/ 9780429758102

Table of contents

Table of contents :
Content: Preliminaries —
What is linear algebra? —
Matrix algebra —
Vector spaces —
Linear maps —
Determinants —
Diagonalization —
Inner product spaces —
Linear algebra over complex numbers —
Orthonormal diagonalization —
Selected applications of linear algebra.

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