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... • This tutorial gives you a general background on the usage of MATLAB. • There are thousands of MATLAB commands for many different applications, therefore it is impossible to cover all topics here. • For a specific topic relating to a class, you should consult the TA or the Instructor. ...
... • This tutorial gives you a general background on the usage of MATLAB. • There are thousands of MATLAB commands for many different applications, therefore it is impossible to cover all topics here. • For a specific topic relating to a class, you should consult the TA or the Instructor. ...
MATH 110 Midterm Review Sheet Alison Kim CH 1
... m≥1, then λ is a root of p iff ∃ q ∈ P(F) with degree m-1 such that p(z)=(z-λ)q(z) ∀ z ∈ F cor 4.3: suppose p ∈ P(F) is a polynomial with degree m≥0, then p has ≥m distinct roots ∈ F cor 4.4: suppose a0,…,am ∈ F, if a0+a1z+a2z2+…+amzm=0 ∀ z ∈ F, then a1=…=am=0 division algorithm: suppose p,q ∈ P(F) ...
... m≥1, then λ is a root of p iff ∃ q ∈ P(F) with degree m-1 such that p(z)=(z-λ)q(z) ∀ z ∈ F cor 4.3: suppose p ∈ P(F) is a polynomial with degree m≥0, then p has ≥m distinct roots ∈ F cor 4.4: suppose a0,…,am ∈ F, if a0+a1z+a2z2+…+amzm=0 ∀ z ∈ F, then a1=…=am=0 division algorithm: suppose p,q ∈ P(F) ...
M2 Notes
... Matrix Exponentiation - Matrix exponentiation is defined as repeatedly multiplying the matrix by itself. i.e., ...
... Matrix Exponentiation - Matrix exponentiation is defined as repeatedly multiplying the matrix by itself. i.e., ...
Fall 05 Exam 3 with Solutions
... arbitrary, we see there are an infinite number of vectors in the span. (c) (3 pts) Is ~b in the subspace spanned by {v~1 , v~2 , v~3 }? Explain your answer. Solution: To determine if ~b is in the span of the set, we need to determine if there exists specific coefficients c1 , c2 , and c3 such that ~ ...
... arbitrary, we see there are an infinite number of vectors in the span. (c) (3 pts) Is ~b in the subspace spanned by {v~1 , v~2 , v~3 }? Explain your answer. Solution: To determine if ~b is in the span of the set, we need to determine if there exists specific coefficients c1 , c2 , and c3 such that ~ ...
Jordan normal form
In linear algebra, a Jordan normal form (often called Jordan canonical form)of a linear operator on a finite-dimensional vector space is an upper triangular matrix of a particular form called a Jordan matrix, representing the operator with respect to some basis. Such matrix has each non-zero off-diagonal entry equal to 1, immediately above the main diagonal (on the superdiagonal), and with identical diagonal entries to the left and below them. If the vector space is over a field K, then a basis with respect to which the matrix has the required form exists if and only if all eigenvalues of the matrix lie in K, or equivalently if the characteristic polynomial of the operator splits into linear factors over K. This condition is always satisfied if K is the field of complex numbers. The diagonal entries of the normal form are the eigenvalues of the operator, with the number of times each one occurs being given by its algebraic multiplicity.If the operator is originally given by a square matrix M, then its Jordan normal form is also called the Jordan normal form of M. Any square matrix has a Jordan normal form if the field of coefficients is extended to one containing all the eigenvalues of the matrix. In spite of its name, the normal form for a given M is not entirely unique, as it is a block diagonal matrix formed of Jordan blocks, the order of which is not fixed; it is conventional to group blocks for the same eigenvalue together, but no ordering is imposed among the eigenvalues, nor among the blocks for a given eigenvalue, although the latter could for instance be ordered by weakly decreasing size.The Jordan–Chevalley decomposition is particularly simple with respect to a basis for which the operator takes its Jordan normal form. The diagonal form for diagonalizable matrices, for instance normal matrices, is a special case of the Jordan normal form.The Jordan normal form is named after Camille Jordan.