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  2. Rank–nullity theorem - Wikipedia

    en.wikipedia.org/wiki/Rank–nullity_theorem

    The rank–nullity theorem is a theorem in linear algebra, which asserts: the number of columns of a matrix M is the sum of the rank of M and the nullity of M ; and the dimension of the domain of a linear transformation f is the sum of the rank of f (the dimension of the image of f ) and the nullity of f (the dimension of the kernel of f ).

  3. Row and column spaces - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_spaces

    Thus Ax = 0 if and only if x is orthogonal (perpendicular) to each of the row vectors of A. It follows that the null space of A is the orthogonal complement to the row space. For example, if the row space is a plane through the origin in three dimensions, then the null space will be the perpendicular line through the origin.

  4. Period 4 element - Wikipedia

    en.wikipedia.org/wiki/Period_4_element

    A period 4 element is one of the chemical elements in the fourth row (or period) of the periodic table of the chemical elements.The periodic table is laid out in rows to illustrate recurring (periodic) trends in the chemical behaviour of the elements as their atomic number increases: a new row is begun when chemical behaviour begins to repeat, meaning that elements with similar behaviour fall ...

  5. Help:Basic table markup - Wikipedia

    en.wikipedia.org/wiki/Help:Basic_table_markup

    For table markup, it can be applied to whole tables, table captions, table rows, and individual cells. CSS specificity in relation to content should be considered since applying it to a row could affect all that row's cells and applying it to a table could affect all the table's cells and caption, where styles closer to the content can override ...

  6. Moore–Penrose inverse - Wikipedia

    en.wikipedia.org/wiki/Moore–Penrose_inverse

    For the cases where ⁠ ⁠ has full row or column rank, and the inverse of the correlation matrix (⁠ ⁠ for ⁠ ⁠ with full row rank or ⁠ ⁠ for full column rank) is already known, the pseudoinverse for matrices related to ⁠ ⁠ can be computed by applying the Sherman–Morrison–Woodbury formula to update the inverse of the ...

  7. Nilpotent matrix - Wikipedia

    en.wikipedia.org/wiki/Nilpotent_matrix

    In linear algebra, a nilpotent matrix is a square matrix N such that = for some positive integer.The smallest such is called the index of , [1] sometimes the degree of .. More generally, a nilpotent transformation is a linear transformation of a vector space such that = for some positive integer (and thus, = for all ).

  8. Periodic table - Wikipedia

    en.wikipedia.org/wiki/Periodic_table

    Periodic tables usually at least show the elements' symbols; many also provide supplementary information about the elements, either via colour-coding or as data in the cells. The above table shows the names and atomic numbers of the elements, and also their blocks, natural occurrences and standard atomic weights. For the short-lived elements ...

  9. Circuit topology (electrical) - Wikipedia

    en.wikipedia.org/wiki/Circuit_topology_(electrical)

    The nullity of a graph represents the number of degrees of freedom of its set of network equations. For a planar graph, the nullity is equal to the number of meshes in the graph. [34] The rank, R of a graph is defined by: = Rank plays the same role in nodal analysis as nullity plays in mesh analysis.