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simple eigenvalue

  • 1 простое собственное значение

    Универсальный русско-английский словарь > простое собственное значение

  • 2 простое собственное значение

    prime eigenvalue мат., simple eigenvalue

    Русско-английский научно-технический словарь Масловского > простое собственное значение

  • 3 некратное собственное значение

    Универсальный русско-английский словарь > некратное собственное значение

  • 4 Отсутствие артиклей в выражениях, используемых после with, without, in, as и at для уточнения свойств основного существительного

    We shall be concerned with real $n$-space
    This program package can be installed without much difficulty
    Then $D$ becomes a locally convex space with dual space $D'$
    The set of points with distance 1 from $K$
    The set of all functions with compact support
    The compact set of all points at distance 1 from $K$
    An algebra with unit $e$
    An operator with domain $H^2$
    A solution with vanishing Cauchy data
    A cube with sides parallel to the axes of coordinates
    A domain with smooth boundary
    An equation with constant coefficients
    A function with compact support
    Random variables with zero expectation (zero mean)
    Any random variable can be taken as coordinate variable on $X$
    Here $t$ is interpreted as area and volume
    We show that $G$ is a group with composition as group operation
    It is assumed that the matrix $A$ is given in diagonal (triangular, upper (lower) triangular, Hessenberg) form
    Then $A$ is deformed into $B$ by pushing it at constant speed along the integral curves of $X$
    $G$ is now viewed as a set, without group structure
    The (a) function in coordinate representation
    The idea of a vector in real $n$-dimensional space
    The point $x$ with coordinates $(1,1)$
    A solution in explicit (implicit, coordinate) form
    Однако: let $B$ be a Banach space with a weak sympletic form $w$
    Однако: (the) two random variables with a common distribution
    Однако: this representation of $A$ is well defined as the integral of $f$ over the domain $D$
    Then the matrix $A$ has the simple eigenvalue $lambda=1$ with eigenvectors $x=(1,0)$ and $y=(1,-100)$

    Русско-английский словарь по прикладной математике и механике > Отсутствие артиклей в выражениях, используемых после with, without, in, as и at для уточнения свойств основного существительного

  • 5 Определенные артикли перед существительными, которые снабжены ссылками

    The differential problem (1) can be reduced to the form (2)
    The asymptotic formula (1) follows from the above lemma
    The differential equation (1) can be solved numerically
    What is needed in the final result is a simple bound on quantities of the form (1)
    The inequality (1) (артикль можно опустить) shows that $a>b$
    The bound (estimate) (2) is not quite as good as the bound (estimate) (1)
    If the norm of $A$ satisfies the restriction (1), then by the estimate (2) this term is less than unity
    Since the spectral radius of $A$ belongs to the region (1), this iterative method converges for any initial guesses
    The array (1) is called the matrix representing the linear transformation of $f$
    It should be noted that the approximate inequality (1) bounds only the absolute error in $x$
    The inequality (1) shows that...
    The second step in our analysis is to substitute the forms (1) and (2) into this equation and simplify it by dropping higher-order terms
    For small $ze$ the approximation (1) is very good indeed
    A matrix of the form (1), in which some eigenvalue appears in more than one block, is called a derogatory matrix
    The relation between limits and norms is suggested by the equivalence (1)
    For this reason the matrix norm (1) is seldom encountered in the literature
    To establish the inequality (1) from the definition (2)
    Our conclusion agrees with the estimate (1)
    The characterization is established in almost the same way as the results of Theorem 1, except that the relations (1) and (2) take place in the eigenvalue-eigenvector relation...
    This vector satisfies the differential equation (1)
    The Euclidean vector norm (2) satisfies the properties (1)
    The bound (1) ensures only that these elements are small compared with the largest element of $A$
    There is some terminology associated with the system (1) and the matrix equation (2)
    A unique solution expressible in the form (1) restricts the dimensions of $A$
    The factorization (1) is called the $LU$-factorization
    It is very uncommon for the condition (1) to be violated
    The relation (1) guarantees that the computed solution gives very small residual
    This conclusion follows from the assumptions (1) and (2)
    The factor (1) introduced in relation (2) is now equal to 2
    The inequalities (1) are still adequate
    We use this result without explicitly referring to the restriction (1)

    Русско-английский словарь по прикладной математике и механике > Определенные артикли перед существительными, которые снабжены ссылками

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