Matrix Vector Product
- from: Jakob Nacanaynay <jn567@cornell.edu>
- to: You <anyone@out.there>
- date: September 6, 2025, 3:46 PM
- subject: Matrix Vector Product
The product of a matrix and a vector is as shown:
\[[\vec a_1, \vec a_2, \cdots, \vec a_n]\begin{bmatrix} x_1 \\ x_2 \\ \vdots \\ x_n \end{bmatrix} = x_1\vec a_1 + x_2\vec a_2 + \cdots + x_n\vec a_n\]A matrix vector product is well-defined if the number of columns in the matrix equals the number of rows in the vector. The output is a vector with the length of the number of rows in the matrix.
Matrix Equation
\[A\vec x = \vec b\]If a system has two distinct solutions, it must have infinitely many solutions.
Properties
- $A(\vec x+\vec y)=A\vec x + A\vec y$
- $A(c\vec x)=c(A\vec x)$
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~ Jakob Nacanaynay
(nack-uh-nigh-nigh)
he/him/his