A linear mapping with three vectors can be defined as a function that takes three vectors from one vector space and maps them to three vectors in another vector space, while preserving the properties of linearity. In other words, for a linear mapping to be defined with three vectors, it must satisfy the properties of additivity and homogeneity. Additivity means that the mapping of the sum of two vectors is equal to the sum of their individual mappings, and homogeneity means that the mapping of a scalar multiple of a vector is equal to the scalar multiple of the vector's mapping. These properties ensure that the linear mapping preserves the structure of the vector space. **

Vectors are mathematical objects that have both magnitude and direction. They are often represented as arrows in space, with the length of the arrow representing the magnitude and the direction indicating the direction. Vectors are used in various fields such as physics, engineering, and computer science to represent quantities like velocity, force, and displacement. They can be added, subtracted, and multiplied by scalars to perform various operations. **

Vectors are determined by both magnitude and direction. The magnitude of a vector represents the length or size of the vector, while the direction indicates the orientation of the vector in space. Vectors can be represented graphically as arrows, with the length of the arrow representing the magnitude and the direction of the arrow indicating the direction. Mathematically, vectors can be described using coordinates or components in a specific coordinate system. **

Collinear vectors are vectors that lie on the same straight line or are parallel to each other. This means that they have the same direction or are in the opposite direction of each other. Collinear vectors can be scaled versions of each other, meaning one vector is a multiple of the other. In other words, collinear vectors have the same or opposite direction and are located on the same line or parallel lines. **

Vectors intersect when they share a common point in space. This point is known as the point of intersection. To determine if two vectors intersect, we can set their parametric equations equal to each other and solve for the variables. If the resulting values satisfy both equations, then the vectors intersect at that point. If the vectors are parallel or skew (non-intersecting and non-parallel), they do not intersect. **

Lattice vectors are a set of vectors that define the periodic structure of a crystal lattice. They represent the translation symmetry of the lattice and can be used to generate all the points in the lattice by adding integer multiples of the lattice vectors to a reference point. In a 3D crystal lattice, there are typically three lattice vectors that are linearly independent and form the basis for the lattice. The lattice vectors are essential for describing the crystal structure and understanding the physical properties of materials. **

To determine if the vectors are collinear, we need to check if one vector is a scalar multiple of the other. If the vectors are collinear, then one vector can be obtained by multiplying the other vector by a scalar. If the vectors are not collinear, then they will not be scalar multiples of each other. **

Basis vectors are a set of linearly independent vectors that can be used to represent any vector in a given vector space through linear combinations. They form the building blocks for expressing any vector in the space. In a 2D space, the basis vectors are typically denoted as i and j, while in a 3D space, they are denoted as i, j, and k. Basis vectors are essential for understanding and working with vector spaces in linear algebra and are fundamental to many mathematical and physical concepts. **