The geometric product allows us to find inverses and perform division in geometric algebra. This powerful tool lets us solve equations and interpret results geometrically. It's a key part of understanding how vectors and multivectors interact in space.

Inverses and division using the geometric product connect different geometric objects. They help us project vectors onto planes, solve systems of equations, and visualize complex relationships between multivectors. This topic builds on earlier concepts to expand our geometric toolkit.

Vector Inverses Using Geometric Product

Definition and Properties of Vector Inverses

• The inverse of a vector $a$ is defined as a vector $a^{-1}$ such that $a a^{-1} = a^{-1} a = 1$
• For a non-null vector $a$, the inverse is given by $a^{-1} = \frac{a}{a^2}$, where $a^2$ is the scalar square of the vector
• The inverse of a unit vector is itself, as $\hat{a} \hat{a} = 1$ ($\hat{i}$, $\hat{j}$, $\hat{k}$)
• The inverse of a vector $a$ can be interpreted geometrically as a vector in the same direction as $a$ but with reciprocal magnitude

Special Cases and Geometric Interpretation

• The inverse of a null vector (a vector with zero magnitude) does not exist, as division by zero is undefined
  • Null vectors represent directions in spacetime without a definite magnitude (e.g., light-like vectors)
• Geometrically, the inverse of a vector $a$ can be visualized as a vector pointing in the same direction as $a$ but with a length equal to the reciprocal of the length of $a$
  • For example, if $a$ has a length of 2 units, $a^{-1}$ will have a length of $\frac{1}{2}$ units

Multivector Division with Geometric Product

Definition and Properties of Multivector Division

• Division of multivectors $A$ and $B$ is defined as $A B^{-1}$, where $B^{-1}$ is the inverse of $B$
• For a vector $a$ and a multivector $B$, left division is defined as $a^{-1} B$ and right division as $B a^{-1}$
• Division is not commutative in general, i.e., $A B^{-1} \neq B^{-1} A$ (e.g., $\hat{i} \hat{j} \neq \hat{j} \hat{i}$)
• The geometric interpretation of the division of a multivector $A$ by a vector $b$ is the projection and rejection of each component of $A$ onto the plane orthogonal to $b$

Calculating Inverses of Blades and Multivectors

• The inverse of a multivector $B$ is a multivector $B^{-1}$ such that $B B^{-1} = B^{-1} B = 1$
  • For a non-null blade $B_k$ of grade $k$, the inverse is given by $B_k^{-1} = \frac{\tilde{B_k}}{B_k^2}$, where $\tilde{B_k}$ is the reverse of $B_k$ and $B_k^2$ is the scalar square of the blade
  • For a general multivector $B = \sum_{k=0}^n B_k$, the inverse is calculated using the series expansion $B^{-1} = \frac{1}{B} = \frac{1}{B_0} \left(1 - \frac{B - B_0}{B_0} + \left(\frac{B - B_0}{B_0}\right)^2 - \cdots\right)$
• Examples of blade inverses:
  • The inverse of a bivector $B = a \wedge b$ is $B^{-1} = \frac{b \wedge a}{(a \wedge b)^2}$
  • The inverse of a trivector $T = a \wedge b \wedge c$ is $T^{-1} = \frac{c \wedge b \wedge a}{(a \wedge b \wedge c)^2}$

Solving Geometric Product Equations

Solving Equations with Multivector Inverses

• Equations involving geometric products can be solved by multiplying both sides of the equation by the inverse of the appropriate multivector
• For an equation of the form $A X = B$, where $A$ and $B$ are known multivectors and $X$ is the unknown multivector, the solution is given by $X = A^{-1} B$
• For an equation of the form $X A = B$, the solution is given by $X = B A^{-1}$
• When solving equations, it is essential to maintain the order of the multivectors due to the non-commutativity of the geometric product

Systems of Equations and Techniques

• In systems of equations involving geometric products, each equation can be solved independently using the aforementioned techniques
• Example system of equations:
  • $a X + Y b = c$
  • $X d - e Y = f$
• Solve for $X$ and $Y$ by isolating each variable and multiplying by the appropriate inverses:
  • $X = (c - Y b) a^{-1}$
  • $Y = e^{-1} (X d - f)$
• Substitute one equation into the other and solve for the remaining variable

Geometric Interpretation of Inverses and Division

Projection and Rejection in Vector Division

• The geometric interpretation of vector division $a b^{-1}$ is a vector in the direction of $a$ projected onto the plane orthogonal to $b$, with magnitude equal to the ratio of the magnitudes of $a$ and $b$
• The geometric product of a vector $a$ and the inverse of a vector $b$ can be decomposed into its symmetric and antisymmetric parts: $a b^{-1} = a \cdot b^{-1} + a \wedge b^{-1}$
  • The symmetric part $a \cdot b^{-1}$ represents the projection of $a$ onto $b^{-1}$, which is a scalar
  • The antisymmetric part $a \wedge b^{-1}$ represents the rejection of $a$ from $b^{-1}$, which is a bivector

Geometric Significance of Multivector Division

• The geometric interpretation of the division of a multivector $A$ by a vector $b$ is the projection and rejection of each component of $A$ onto the plane orthogonal to $b$
• For example, if $A = a_1 + a_2 \wedge a_3$ and $b$ is a vector:
  • $(a_1 + a_2 \wedge a_3) b^{-1} = a_1 b^{-1} + (a_2 \wedge a_3) b^{-1}$
  • $a_1 b^{-1}$ represents the projection and rejection of the vector part of $A$ onto the plane orthogonal to $b$
  • $(a_2 \wedge a_3) b^{-1}$ represents the projection and rejection of the bivector part of $A$ onto the plane orthogonal to $b$
• Understanding the geometric interpretation of inverses and division is crucial for visualizing the results of geometric product operations in higher dimensions