Systems Of Equations : Cramer's Rule
Use Cramer's Rule to solve the following system of equations. -x+2y = 1 3x+2y -3z= -1 2y -3z = 2
Use Cramer's Rule to solve the following system of equations. -x+2y = 1 3x+2y -3z= -1 2y -3z = 2
For what value of the parameter b will the following system of equations fail to have a unique solution? (HINT - Do not attempt to actually solve the equations!!!!) x+2by-z = 2 2bx+3y-bz = 3 x+2y+z = 0
Compute the determinants of the following matrices? 0 2 1 -1 4 3 -2 1 -4 3 0 1 -4 1 -1 2 3 0 4 2 0 -2 1 0 1
I have two questions that I need help with. 1) How would you find a basis of the kernel, a basis of the image and determine the dimension of each for this matrix? The matrix is in the attachment. 2) Are the following 3 vectors linearly dependent? (see attachment for the three vectors) How can you decide? I hope y
1. Determine whether each of the following is a function or not. (a) f(x) = 1 if x>1 = 0 otherwise (b) f(x) = 2 if x>0 = -2 if x<0 = 2 or -2 if x = 0 = 0 otherwise (c) f(x) = 5/x 2. Suppose you have a lemonade stand, and when you charge $1 per cup of lemonade you se
The problem is to find all the possible solutions to the following: Eq 1: x + y = 2 Eq 2: y + z = 3 Eq 3: x + 2y + z = 5 I set up my matricies in the following: 1 1 0 2 0 1 1 3 1 2 1 5 operation 1: (-1*row 1 +row 3) 1 1 0 2 0 1 1 3 0 1 1 3 operation 2: (-1*row 2 +row 3) 1 1 0 2 0 1 1 3 0 0
Vector Space and Subspaces Euclidian 3-space Problem:- Show that the vectors u1 = (1,2,3), u2 = (0,1,2), u3 = (2,0,1) generate R3(R).
1. Is H= the column vectors of the matrix M= [1 0 2 0] cR^4 linearly independent or [4 0 3 0] linearly dependent? [5 0 -1 0] Justify your answer.
Is K={f_1(x)=1, f_2(x)=sin x, f_3(x)=cos x }cC[0,1] linearly independent or linearly dependent? Justify your answer.
1. Is G={ [1 -1], [1 -4], [1 -6], [0 0] cM^2(R) linearly independent or linearly dependent? Justify your answer. { [-1 0] [1 0] [1 0 ] [1 0]}
Please see the attached file for the fully formatted problem. Let G be a group and let D ={(a,a,a):a E G}. Prove that D is a normal subgroup of G+G+G if and only if G is Abelian.
Find the eigenvalues of the following matrix Q = Mat[0 0 -2; 1 2 1; 1 0 1]. (See attached file for clearer version.)
Suppose that a "skew" product of vectors in R2 is defined by (u,v)=u1v1-u2v2 Prove that (u,v)squared >equal too (u,u)(v,v). (NOTE; This is just the reverse of the Cauchy- Schwartz inequality for the ordinary dot product.)
Find the solution space of the following system of equations. x1-x2+4x3-x4=2 2x1 -2x3+4x4=4 2x1-x2+3x3+x4=4 x2-5x3+2x4=0
Compute the following vector quantities: a. (i-j-k)x(2i+3j-k) b. (3i-j-k).[(i-j)x(i+j-k)]
Find eigenvalues and eigenvectors of the matrix A=(2 1 9 2) By transforming the matrix in the basis of eigenvectors, show explictly that the matrix can diagonalized in the eigenvector basis.
For any x=(x1,....,xn), let us try to define a norm two ways. Consider (a) ||X||1=summation |Xi| from i=1 to n (b) ||X||b=summation |xi-xj| from i,j=1 to n Does either one of these formulas define a norm? If yes, show that all three axioms of norm hold. If no, demonstrate which axiom fails.
Consider vector space C[0,1] with scalar product: for any two functions f(x), g(x) (f,g)=integral from 0 to 1 of f(x)g(x)xdx. Find the orthogonal projection p of e^x onto x. Also find the norms of e^x and x.
Suppose S is a linear space defined below. Are the following mappings L linear transformations from S into itself? If answer is yes, find the matrix representations of formations (in standard basis): (a) S=P4, L(p(x))=p(0)+x*p(1)+x^2*p(2)+X^3*p(4) (b) S=P4, L(p(x))=x^3+x*p'(x)+p(0) (c) S is a subspace of C[0,1] formed by
Consider the equation Ax=b, with a=(1 1 a) (1 -1 1) (2 -1 -1) b=(6+b) ( b ) ( b ) for which values of a,b this system has no solutions? infinitely many solutions? unique solution? if possible, find the solution x explicitly in terms of a,b.
Determine whether or not the following set of vectors in R4 is linearly independent? u=(1,0,3,0) v=(2,1,1,3) w=(1,2,-7,6)
By brute force, find a multiplicative inverse to 31 mod 100. Is there only one, or can you find more??
2 1 -1 3 4 1 0 -1 2 0 A= 1 1 0 1 4 4 2 -2 6 8 Find the basis for the row space, column space of A; What is the rank of A?
I would like a short explanation of Gaussian Elimination with partial pivoting and Gauss-Seidel. Also, explain when each applies or when one is better than the other. Please include some examples.
Uxx means second derivative with respect to x Uyy means second derivative with respect to y Uxx + Uyy = 0, 0 < x < pi, 0 < y < 1 Ux(0,y) = 0 = U(pi,y), 0 < y < 1 U(x,0) = 1, U(x,1) = 0, 0 < x < pi Please show all work including how eigenvalues and eigenvectors are derived. Thank you
Show that the functions x and x^2 are orthogonal in P5 with inner product defined by ( <p,q>=sum from i=1 to n of p(xi)*q*(xi) ) where xi=(i-3)/2 for i=1,...,5. Show that ||X||1=sum i=1 to n of the absolute value of Xi. Show that ||x||infinity= max (1<=i<=n) of the absolute value of Xi. Thank you for your explanation.
Given a vector w, the inner product of R^n is defined by: <x,y>=Summation from i=1 to n (xi,yi,wi) [a] Using this equation with weight vector w=(1/4,1/2,1/4)^t to define an inner product for R^3 and let x=(1,1,1)^T and y=(-5,1,3)^T Show that x and y are orthogonal with respect to this inner product. Compute the values of
Questions on a Sequence of Polynomials. See attached file for full problem description. Let be the sequence of polynomials defined by , , 1) Show that is a polynomial of degree k. Calculate the coefficient of of . 2) Show by induction that for all real . 3) Deduce that if , . 4) Show that for all whole nat
If x is an eigenvector of the nxn matrix A, prove that bx is also an eigenvector.
S_5 = Aut(A_5)