
Vector Spaces - UCSB Physics
... Previously, we introduced the notion of span for a system of finite number of vectors. In a Hilbert space, the notion of span can be generalized to a countably infinite number of vectors in a system. Consider all the Cauchy sequences that can be constructed out of finite-number linear combinations o ...
... Previously, we introduced the notion of span for a system of finite number of vectors. In a Hilbert space, the notion of span can be generalized to a countably infinite number of vectors in a system. Consider all the Cauchy sequences that can be constructed out of finite-number linear combinations o ...
LESSON 5 Vectors and Coordinate Geometry Analvtic aeometrv
... The length of ra is Ihllal. If the scalar is negative, it also changes the direction of the vector by 180'. Two examples (h = -1 and h = 2) are given in the picture. Here it is important to check that the scalar multiplication is compatible with vector addition in the following sense: h(a + b) = ha ...
... The length of ra is Ihllal. If the scalar is negative, it also changes the direction of the vector by 180'. Two examples (h = -1 and h = 2) are given in the picture. Here it is important to check that the scalar multiplication is compatible with vector addition in the following sense: h(a + b) = ha ...
Correlation of the ALEKS course PreCalculus to the Common Core
... (+) Understand the inverse relationship between exponents and logarithms and use this relationship to solve problems involving logarithms and exponents. Converting between logarithmic and exponential equations Converting between natural logarithmic and exponential equations Evaluating a logarithmic ...
... (+) Understand the inverse relationship between exponents and logarithms and use this relationship to solve problems involving logarithms and exponents. Converting between logarithmic and exponential equations Converting between natural logarithmic and exponential equations Evaluating a logarithmic ...
Cartesian tensor
In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. Converting a tensor's components from one such basis to another is through an orthogonal transformation.The most familiar coordinate systems are the two-dimensional and three-dimensional Cartesian coordinate systems. Cartesian tensors may be used with any Euclidean space, or more technically, any finite-dimensional vector space over the field of real numbers that has an inner product.Use of Cartesian tensors occurs in physics and engineering, such as with the Cauchy stress tensor and the moment of inertia tensor in rigid body dynamics. Sometimes general curvilinear coordinates are convenient, as in high-deformation continuum mechanics, or even necessary, as in general relativity. While orthonormal bases may be found for some such coordinate systems (e.g. tangent to spherical coordinates), Cartesian tensors may provide considerable simplification for applications in which rotations of rectilinear coordinate axes suffice. The transformation is a passive transformation, since the coordinates are changed and not the physical system.