Recent content by LosTacos

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    Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]}

    (A - 13I)x = 0: {[10, 4, 12, 0],[4, 1, 3, 0],[12, 3, 17]} = {[1, 2/5, 6/5],[4, 1, 3, 0],[12, 3, 17, 0]} = {[1, 2/5, 6/5, 0], [0, -3/5, -9/5, 0],[0, -9/5, 13/5, 0]} = {[1, 2/5, 6/5, 0],[0, 1, 3, 0], [0, 0, 8, 0]}
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    Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]}

    Okay I understand. So my eigenvalues are 13 and -13. If I was asked to find the basis for both of these, how do I go about doing that. I tried to solve the equation [13I2 - A I 0] however if ran into a wall. I row reduced it to get the matrix = {[2, 2/5, 6/5], [0,1,3], [0,0,1]}. But I wasnt sure...
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    Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]}

    From the characteristic polynomial x3 + 13x2 + 2053, how do I get the correct eigenvalues?
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    Prove Isomorphism When Columns of C are Linearly Independent

    Because the columns of A are linearly independent, each column will have a unique solutions such that there will exist an x such that L(x)=b which implies Ax=B
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    Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]}

    Actually I forgot to calculate teh determinants so I got: Pa(x) = (x-3)(x+12)(x+4) + 2197 = x3 + 13x2 + 2053
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    Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]}

    Homework Statement Find eigenvalue for matrix B= {[3,4,12],[4,-12,3],[12,3,-4]} Homework Equations The Attempt at a Solution I set up the charactersitic polynomial and got the equation: Pa(x) = (x-3)(x+12)(x+4) = x3 + 132 - 144 + 144 = x3 + 132 So I have 3 eigenvalues: 0...
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    Prove Isomorphism When Columns of C are Linearly Independent

    so how do you go about showing it is surjective
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    Find the basis for both eigenvalues

    Okay, so given those two solutions, do I row reduce it to determine teh basis?
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    Prove Isomorphism When Columns of C are Linearly Independent

    Okay so the equation has the trivial solution. So that means that the only solution is the trivial one, which is represented by the columns themselves, therefore 1-1. And since C is linearly independent, no vector in the matrix can be expressed as a linear combination of otheres. Therefore, each...
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    Proving Orthogonal Bases Homework Statement

    Well to prove that each side is equal to one another, I have to prove that each is a subset of the other. In essence, prove it both ways. So when doing the dot product of [a1, a2, ..., an] ⋅ [c1, c2, ..., cn] are you saying that i need to create 9 different products for this example. And then bc...
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    Proving Orthogonal Bases Homework Statement

    I am confused as to what is correct for the reverse direction. From the definition of coordinatization, Let B = (b1, b2, ..., bk) be an ordered basis. Suppose v1= a1b1 + a2b2 + ... + anbn. Then, [v1]B, the coordinatization of v1 with respect to B is the n-vector [a1, a2, ..., an] So if this...
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    Find the basis for both eigenvalues

    Homework Statement Given matrix A= {[39/25,48/25],[48/25,11/25]} find the basis for both eigenvalues. Homework Equations The Attempt at a Solution I row reduced the matrix and found both eigenvalues. I found λ = -1, and λ = 3. Then, I used diagonalization method [-1I2 - A 0]...
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    Prove Isomorphism When Columns of C are Linearly Independent

    Homework Statement Let L:R->R be a linear operator with matrix C. Prove if the columns of C are linearly independent, then L is an isomorphism. Homework Equations The Attempt at a Solution Assume the columns of C are linearly independent. Then, the homogenous equation Cx=0 is...
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    Existence of Linear Operators with Matching Subspaces in Vector Spaces

    I could of defined L(C)=B such that if i>k, then L(vi) = ker(L) = B = 0
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