Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

2 results

  • 15 - Matrix Algebra

  • Martin Anthony, London School of Economics and Political Science, Norman Biggs, London School of Economics and Political Science
  • Book:
    Mathematics for Economics and Finance
    Published online:
    24 May 2024
    Print publication:
    30 May 2024, pp 152-159

  • Summary

    Matrices are introduced and it is explained how matrix addition, scalar multiplication and multiplication of two matrices works. As an example of matrix multiplication, it is demonstrated how investment portfolios can be modelled, and their returns in various states quantified by multiplication with a returns matrix. The concept of an arbitrage portfolio is explained.

  • 2 - Matrix Algebra

  • David C. Vella, Skidmore College, New York
  • Book:
    Invitation to Linear Programming and Game Theory
    Published online:
    11 March 2021
    Print publication:
    11 March 2021, pp 63-101

  • Summary

    This chapter provides a basic introduction to matrices, including the following: scaling, transposing, adding, and subtracting matrices; multiplying matrices and applications; finding determinants and inverses of 2 x 2 matrices; and solving systems of equations by matrix inversion. Applications of matrix algebra, including applications to cryptography and to Leontief economic models, are discussed.A method for finding inverses of larger matrices using elimination is developed in a series of exercises.