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When an eigenvalue of a matrix is equal to 0, it signifies that the matrix is singular, meaning it does not have a full set of linearly independent eigenvectors.

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3mo ago

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Prove that a matrix a is singular if and only if it has a zero eigenvalue?

Recall that if a matrix is singular, it's determinant is zero. Let our nxn matrix be called A and let k stand for the eigenvalue. To find eigenvalues we solve the equation det(A-kI)=0for k, where I is the nxn identity matrix. (<==) Assume that k=0 is an eigenvalue. Notice that if we plug zero into this equation for k, we just get det(A)=0. This means the matrix is singluar. (==>) Assume that det(A)=0. Then as stated above we need to find solutions of the equation det(A-kI)=0. Notice that k=0 is a solution since det(A-(0)I) = det(A) which we already know is zero. Thus zero is an eigenvalue.


Is 0 an eigenvalue?

Yes it is. In fact, every singular operator (read singular matrix) has 0 as an eigenvalue (the converse is also true). To see this, just note that, by definition, for any singular operator A, there exists a nonzero vector x such that Ax = 0. Since 0 = 0x we have Ax = 0x, i.e. 0 is an eigenvalue of A.


What is spectrum of nil potent matrix?

The spectrum of a nilpotent matrix consists solely of the eigenvalue zero. A nilpotent matrix ( N ) satisfies ( N^k = 0 ) for some positive integer ( k ), which implies that all its eigenvalues must be zero. Consequently, the only element in the spectrum (the set of eigenvalues) of a nilpotent matrix is ( {0} ). Thus, its spectral radius is also zero.


What does the equation f 0 signify?

The equation f 0 signifies that the function f is equal to zero.


What is the answer of Let a equals 1 in algebra matrix.?

a = [1] Simple as that!! did you mean an identity matrix (I)? then a would equal: a= [ 1 0 0 0 1 0 0 0 1 ] All 1's down the main diagonal


What is the definition of zero matrix?

Zero Matrix When all elements of a matrix are zero than the matrix is called zero matrix. Example: A=|0 0 0|


What are the Idiosyncrasies of matrix algebra?

idiosyncrasies of matrix are the differences between matrix algebra and scalar one. i'll give a few examples. 1- in algebra AB=BA which sometimes doesn't hold in calculation of matrix. 2- if AB=0, scalar algebra says, either A, B or both A and B are equal to zero. this also doesn't hold in matrix algebra sometimes. 3- CD=CE taking that c isn't equal to 0, then D and # must be equal in scalar algebra. Matrix again tend to deviate from this identity. its to be noted that these deviations from scalar algebra arise due to calculations involving singular matrices.


What is the definition of involtary matrix?

Involtary Matrix A square matrix A such that A2=I or (A+I)(A-I)=0, A is called involtary matrix.


What are squares with numbers in them in text?

A rectangle containing numbers are called "matrix" (1 0 0 1) (3 4 8 0) is a 2 x 4 matrix a SQUARE containing numbers is a n x n matrix, or square matrix (1 0) (5 6) is a square matrix (1) is a square matrix


Is a singular matrix an indempotent matrix?

A singular matrix is a matrix that is not invertible. If a matrix is not invertible, then:• The determinant of the matrix is 0.• Any matrix multiplied by that matrix doesn't give the identity matrix.There are a lot of examples in which a singular matrix is an idempotent matrix. For instance:M =[1 1][0 0]Take the product of two M's to get the same M, the given!M x M = MSo yes, SOME singular matrices are idempotent matrices! How? Let's take a 2 by 2 identity matrix for instance.I =[1 0][0 1]I x I = I obviously.Then, that nonsingular matrix is also idempotent!Hope this helps!


What is the definition of a null matrix?

The null matrix is also called the zero matrix. It is a matrix with 0 in all its entries.


What is the null matrix?

the matrix whose entries are all 0