Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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- Consider the vector space F of all functions from R to R with pointwise addition and scalar multiplication. (a) Show that the three vectors fi = e“, f2 = xe", f3 = x²e" are linearly independent in F. (b) Consider the subspace H = span{f1, f2, f3}. Let T : H → H be the linear transformation defined by df T(f)= + f. dx Find the matrix of T' with respect to the basis B = {fi, f2, f3} of H (i.e., find 8[T]B). (c) Is there a basis C of H in which c |T|c is diagonal? Explain why or why not.arrow_forwardShow that T(x, y, z) = (4x + 2y – 2z, −2x + y + 3z, x - y - 2z) is not a one-to-one transformation from R³ to R³. Find a basis of the kernel of this transformation.arrow_forwardLet V be a vector space with dim(V) = 3. Explain why any T: V → V has at least one real eigenvalue.arrow_forward
- Let uj,..., u, be an orthogonal basis for a subspace W of R", and let T : R" → R" be defined by T(x) = projw X. Show that T is a linear transformation.arrow_forwardConsider the vectors that are shown below, which are linearly independent in R3. Find a linear transformation T : R3 →R3 such that {T(v1),T(v2),T(v3)} are not linearly independent in R3. . v1 v2 v3 1 0 0 0 1 0 0 0 1 show all workarrow_forwardFind the standard matrix of the linear transformation T : R? → R² defined by T(x) = proj,x where the vector u = To enter a fraction such as 2, type 2/3arrow_forward
- TRUE or FALSE: If C = {u1,..., u,} is an orthonormal basis for a subspace H of R", and if y is a vector in H, then the coordinate vector of y with y ui y· u2 respect to the basis C is givén by [y]c = y uparrow_forwardLet y : R4 → R³ be the linear map defined by y(v) = Av, where A is the matrix 1 2 0 1 A = -1 2 -1 1 -3 2 -2 Find a basis and the dimension of the kernel of y and the image ofarrow_forwardLet T : R³ → R4 be the linear map given by T(x, y, z) = (x + 3y – 2z, x + 4y, x − 8z, 2x + 7y − 2z) Write down the matrix of T (with respect to the standard bases of R³ and R4). Reduce the matrix to echelon form and use this to find a basis for Ker(T). What is the dimension of Ker(T)?arrow_forward
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