Orthogonal projection in the context of Linear transformation

In mathematics, an n-sphere or hypersphere is an ⁠${\displaystyle n}$⁠-dimensional generalization of the ⁠${\displaystyle 1}$⁠-dimensional circle and ⁠${\displaystyle 2}$⁠-dimensional sphere to any non-negative integer ⁠${\displaystyle n}$⁠.

The circle is considered 1-dimensional and the sphere 2-dimensional because a point within them has one and two degrees of freedom respectively. However, the typical embedding of the 1-dimensional circle is in 2-dimensional space, the 2-dimensional sphere is usually depicted embedded in 3-dimensional space, and a general ⁠${\displaystyle n}$⁠-sphere is embedded in an ⁠${\displaystyle n+1}$⁠-dimensional space. The term hypersphere is commonly used to distinguish spheres of dimension ⁠${\displaystyle n\geq 3}$⁠ which are thus embedded in a space of dimension ⁠${\displaystyle n+1\geq 4}$⁠, which means that they cannot be easily visualized. The ⁠${\displaystyle n}$⁠-sphere is the setting for ⁠${\displaystyle n}$⁠-dimensional spherical geometry.

In geometry, an altitude of a triangle is a line segment through a given vertex (called apex) and perpendicular to a line containing the side or edge opposite the apex. This (finite) edge and (infinite) line extension are called, respectively, the base and extended base of the altitude. The point at the intersection of the extended base and the altitude is called the foot of the altitude. The length of the altitude, often simply called "the altitude" or "height", symbol h, is the distance between the foot and the apex. The process of drawing the altitude from a vertex to the foot is known as dropping the altitude at that vertex. It is a special case of orthogonal projection.

Altitudes can be used in the computation of the area of a triangle: one-half of the product of an altitude's length and its base's length (symbol b) equals the triangle's area: A=hb/2. Thus, the longest altitude is perpendicular to the shortest side of the triangle. The altitudes are also related to the sides of the triangle through the trigonometric functions.

A five-dimensional (5D) space is a mathematical or physical concept referring to a space that has five independent dimensions. In physics and geometry, such a space extends the familiar three spatial dimensions plus time (4D spacetime) by introducing an additional degree of freedom, which is often used to model advanced theories such as higher-dimensional gravity, extra spatial directions, or connections between different points in spacetime.

The vector projection (also known as the vector component or vector resolution) of a vector a on (or onto) a nonzero vector b is the orthogonal projection of a onto a straight line parallel to b. The projection of a onto b is often written as ${\displaystyle \operatorname {proj} _{\mathbf {b} }\mathbf {a} }$ or a_∥b.

The vector component or vector resolute of a perpendicular to b, sometimes also called the vector rejection of a from b (denoted ${\displaystyle \operatorname {oproj} _{\mathbf {b} }\mathbf {a} }$ or a_⊥b), is the orthogonal projection of a onto the plane (or, in general, hyperplane) that is orthogonal to b. Since both ${\displaystyle \operatorname {proj} _{\mathbf {b} }\mathbf {a} }$ and ${\displaystyle \operatorname {oproj} _{\mathbf {b} }\mathbf {a} }$ are vectors, and their sum is equal to a, the rejection of a from b is given by: $${\displaystyle \operatorname {oproj} _{\mathbf {b} }\mathbf {a} =\mathbf {a} -\operatorname {proj} _{\mathbf {b} }\mathbf {a} .}$$