Multiplication of matrices properties

Click For Summary
SUMMARY

The discussion focuses on the properties of matrix multiplication, specifically regarding the product of a matrix \( A \) and a unit column vector \( e_j \). It establishes that \( A e_j \) results in a linear combination of the columns of \( A \), where \( e_j \) serves as a selector for the \( j \)-th column. Additionally, the discussion clarifies that \( e_i^T A e_j \) evaluates to the \( (i,j) \)-th entry of matrix \( A \), reinforcing the concept of matrix indexing through unit vectors. The provided equations illustrate how the rows and columns of the product matrix \( AB \) are derived from the respective rows and columns of matrices \( A \) and \( B \).

PREREQUISITES
  • Understanding of matrix multiplication, specifically the dimensions of matrices involved.
  • Familiarity with unit vectors and their representation in linear algebra.
  • Knowledge of matrix indexing and notation, particularly with respect to \( e_j \) and \( e_i^T \).
  • Basic proficiency in linear combinations and their application in matrix operations.
NEXT STEPS
  • Study the properties of unit vectors in linear algebra.
  • Learn about the implications of matrix multiplication on row and column operations.
  • Explore the derivation and applications of the matrix multiplication equations provided.
  • Investigate the use of column vectors in matrix operations and their relationship to matrix entries.
USEFUL FOR

Students studying linear algebra, educators teaching matrix operations, and anyone seeking to deepen their understanding of matrix multiplication properties.

bonfire09
Messages
247
Reaction score
0

Homework Statement


Let ej denote the jth unit column that contains a 1 in the jth
position and zeros everywhere else. For a general matrix An×n, describe the following products. (a) Aej (c) eTiAej?

Homework Equations


Rows and Columns of a Product
Suppose that A = [aij] is m × p and B = [bij] is p × n.
• [AB]i∗ = Ai∗B [( ith row of AB)=( ith row of A) ×B]. (3.5.4)

• [AB]∗j = AB∗j [ (jth col of AB)=A× ( jth col of B)]. (3.5.5)

• [AB]i∗ = ai1B1∗ + ai2B2∗ + · · · +aipBp∗aikBk∗. (3.5.6)

• [AB]∗j = A∗1b1j + A∗2b2j + · · · + A∗pbpjA∗kbkj (3.5.7)

These last two equations show that rows of AB are combinations of
rows of B, while columns of AB are combinations of columns of A.

The Attempt at a Solution


For parts a and c I am not even sure what they are even asking for. When its saying ej is a unit column does that mean like this (1 0 0...0) as an example? For part A wouldn't the solution of Aej just just be a linear combination a column of A and the entries of ej as scalars?
 
Last edited:
Physics news on Phys.org
Yes, it means that ej = (δij)T, i.e. 1 where i=j and zero elsewhere.
From your matrix multiplication formulae, can you deduce a formula for B being a column vector instead of a matrix?
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 5 ·
Replies
5
Views
13K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K