Previously, we have explored methods to compute the essence of power functions $Ȣx^n$ which involves solving a large system of linear equations. This method is equivalent to solving for the inverse of a large $n\times n$ matrix where entries are values of pascal's triangle. Though the matrix method allow us to solve for large number of essences at once, it does not extend easily to solve for next iterations of essence coefficients. Rather than reusing the values we have already solved for, we will have to solve for inverse of a separate larger matrix again. Here we will introduce an iterative method for solving for these coefficients. Chapter 0: Recap Let us first remind ourselves of the definition of essence. For a function $f(x)$, we want to find the transformation $Ȣf(x)$ such that we are able to 'smooth out' its series: $$\sum_{i=a}^b f(i) = \int_{a-1}^b Ȣf(x) dx$$ For example, we can solve for the following functions: $$\begin{align*}Ȣ1 &= 1 \\ Ȣx &= x +...
Matrices are usually first introduced to students in pre-calculus and only the most basic operations and applications are taught to them. For example, we are taught how to add, multiply a scalar value, multiply matrices, and how to find their Inverses. We are taught that only the square matrices have inverses, but is this really true? Today, we will explore this concept of the Inverse of Non-Square Matrix. The Inverse of Matrix Product First, let us explore how the Inverse of a Product relates to Inverses of its Factors. Consider this matrix product: $$AB = C$$ where $A$, $B$, and $C$ are all matrices of legal orders. Now let us ask, how does $A^{-1}$ and $B^{-1}$ relate to $C^{-1}$? Let's define what we mean by Inverse of $C$. We want the inverse to have the property that $$CC^{-1} = C^{-1}C = \textbf{1}$$ where $\textbf{1}$ is a identity matrix. First, let's look at the first case: $$CC^{-1} = \textbf{1}$$ We can substitute the definition of $C$ and find that $$(AB...