Bilinear forms | Symplectic geometry | Linear algebra
In mathematics, a symplectic vector space is a vector space V over a field F (for example the real numbers R) equipped with a symplectic bilinear form. A symplectic bilinear form is a mapping ω : V × V → F that is BilinearLinear in each argument separately;Alternatingω(v, v) = 0 holds for all v ∈ V; andNon-degenerateω(u, v) = 0 for all v ∈ V implies that u = 0. If the underlying field has characteristic not 2, alternation is equivalent to skew-symmetry. If the characteristic is 2, the skew-symmetry is implied by, but does not imply alternation. In this case every symplectic form is a symmetric form, but not vice versa. Working in a fixed basis, ω can be represented by a matrix. The conditions above are equivalent to this matrix being skew-symmetric, nonsingular, and hollow (all diagonal entries are zero). This should not be confused with a symplectic matrix, which represents a symplectic transformation of the space. If V is finite-dimensional, then its dimension must necessarily be even since every skew-symmetric, hollow matrix of odd size has determinant zero. Notice that the condition that the matrix be hollow is not redundant if the characteristic of the field is 2. A symplectic form behaves quite differently from a symmetric form, for example, the scalar product on Euclidean vector spaces. (Wikipedia).
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From playlist Vector Spaces
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From playlist 2019 Summer REU Presentations
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From playlist Linear Algebra
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A short video on terms such as Vector Space, SubSpace, Span, Basis, Dimension, Rank, NullSpace, Col space, Row Space, Range, Kernel,..
From playlist Tutorial 4
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From playlist Linear Algebra Done Right
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From playlist Vectors
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We define the notion of a vector as it relates to multivariable calculus and define its length. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Vectors for Multivariable Calculus
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From playlist Virtual Conference
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From playlist Virtual Conference
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From playlist Mathematics
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From playlist Center of Math Research: the Worldwide Lecture Seminar Series
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From playlist Vectors in Space (3D)
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