Engineering Mathematics
Linear Algebra
Matrices and Determinants
Questions mapped to Matrices and Determinants under Linear Algebra.
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Incorrectis an skew-symmetric matrix with real-valued entries, and is an -dimensional column vector with real-valued entries such that .
The quantity evaluates to
(Answer in integer)
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Sign in to UnlockConsider an orthogonal matrix with real entries and each column having unit Euclidean norm.
Which of the following statements is/are correct?
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Sign in to UnlockLet and let I can be identity matrix. Then is equal to
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Sign in to UnlockWhich one of the following matrices has an inverse?
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Sign in to UnlockFor a given vector , the vector normal to the plane defined by is
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Sign in to UnlockIn the figure, the vectors and are related as: by a transformation matrix A. The correct choice of is
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Sign in to UnlockConsider a matrix whose -th element, . Then the matrix will be
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Sign in to UnlockConsider a matrix . The matrix satisfies the equation , where and are scalars and is the identity matrix. Then is equal to
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Sign in to UnlockLet be a matrix such that is null matrix, and let be the identity matrix. The determinant of is _______.
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Sign in to UnlockThe number of purely real elements in a lower triangular representation of the given matrix, obtained through the given decomposition is
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Sign in to UnlockThe rank of the matrix, is __________________.
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Sign in to UnlockConsider a matrix , where, and are the column vectors. Suppose , where and are the row vectors. Consider the following statements:
Statement 1:
Statement 2:
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Sign in to UnlockConsider a non-singular square matrix A If and, the determinant of the matrix A is ________ (up to 1 decimal place).
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Sign in to UnlockLet and, where I is identity matrix. The determinant of B is ______ (up to 1 decimal place).
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Sign in to UnlockLet and . The value of equals _________. (Give the answer up to three decimal places)
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Sign in to UnlockIf the sum of the diagonal elements of a 2 x 2 matrix is -6, then the maximum possible value of determinant of the matrix is ____________.
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Sign in to UnlockTwo matrices A and B are given below:
If the rank of matrix A is N, then the rank of matrix B is
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Sign in to UnlockGiven that
and , the value of is
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Sign in to UnlockThe matrix is decomposed into a product of a lower triangular matrix [L] and an upper triangular matrix [U]. The properly decomposed [L] and [U] matrices respectively are
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Sign in to UnlockThe characteristic equation of a (3 × 3) matrix P is defined as. If I denote identity matrix, then the inverse of matrix P will be
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Sign in to UnlockIf the rank of a (5×6) matrix Q is 4, then which one of the following statements is correct?
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Sign in to UnlockA is a m×n full ran matrix with m > n and I is an identity matrix. Let matrix. Then, which one of the following statements is FALSE?
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Sign in to UnlockLet P be a 2 ´ 2 real orthogonal matrix and is a real vector with length. Then, which one of the following statements is correct?
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Sign in to UnlockLet x and y be two vectors in a 3 dimensional space and <x, y> denote their dot product. Then the determinant
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Sign in to UnlockCayley-Hamilton Theorem states that a square matrix satisfies its own characteristic equation.
Consider a matrix
A satisfies the relation
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Sign in to UnlockCayley-Hamilton Theorem states that a square matrix satisfies its own characteristic equation.
Consider a matrix
equals
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Sign in to Unlockare three vectors
An orthogonal set of vectors having a span that contains p, q, r is
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Sign in to Unlockare three vectors
The following vector is linearly dependent upon the solution to the previous problem
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Sign in to UnlockIf , the top row of is:
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Sign in to UnlockThe determinant of the matrix
is:
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Sign in to UnlockThe inverse of A is:
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Sign in to UnlockA square matrix is called singular, if its
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Sign in to UnlockExpress the given matrix A as a product of two triangular matrices, L and U, where the diagonal elements of the lower triangular matrix L are unity and U is an upper triangular matriX
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Sign in to UnlockThe inverse of the matrix is:
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Sign in to Unlockmatrix has all its entries equal to -1. The rank of the matrix is
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