are the transformed vectors
=> the scalar product is invariant under transformation
4. In the 2-dimensional space (Xo , xi), consider the coordinate transformation: (β is a parameter)...
4. Let TV - V be a linear operator on a finite dimensional inner product space V and P be the orthogonal projection of V onto the subspace W of V. a) Show that is invariant under T if and only if PTP = TP. b) Show that w and we are both invariant under 7 If and only if PT = TP
Part B Please 2. Consider a point (xo, y0, 2o) in space and a vector (a, b, c). We can use this vector to define a plane as the set of all points (x,y, z) such that the vector (x - xo, y - yo, z - zo) connecting (z, y,z) with (xo, Yo, 20) is orthogonal to (a, b, c) (the normal vector to the plane). (a) Use a dot product to write the equation of a plane through...
Problem 2 (Eigenvalues and Eigenvectors). (a) If R2 4 R2 be defined by f(x,y) (y,x), then find all the eigenvalues and eigenvectors of f Hint: Use the matrix representation. (b) Let U be a vector subspace (U o, V) of a finite dimensional vector space V. Show that there exists a linear transformation V V such that U is not an invariant subspace of f Hence, or otherwise, show that: a vector subspace U-0 or U = V, if and...
2. (25points) Now consider the following space time coordinates, or 4 vectors, of 2 other events: Event A: (ctA, xA, yA, zA) = (0.9m ,0.4m, 0.7m, 0m), Event B: (ctB, xB, yB, zB) = (1.2m, 0.4m, 0.6m, 0m) Remember what you learned about the invariant interval I in class and discussion and answer the following questions: (a) Are the two events A and B potentially causally connected ? (b) Does a reference frame exist in which the two events are...
101-2019-3-b (1).pdf-Adobe Acrobat Reader DC Eile Edit iew Window Help Home Tools 101-2019-3-b (1) Sign In x Problem 2 (Eigenvalues and Eigenvectors). (a) If R2 4 R2 be defined by f(x,y) (y, x), then find all the eigenvalues and eigenvectors of f Hint: Use the matrix representation (b) Let U be a vector subspace (U o, V) of a finite dimensional vector space V. Show that there exists a linear transformation V -> V such that U is not an...
Font Styles Paragraph Definition 1: Given La linear transformation from a vector space V into itself, we say that is diagonalizable iff there exists a basis S relevant to which can be represented by a diagonal matrix D. Definition 2: If the matrix A represents the linear transformation L with respect to the basis S, then the eigenvalues of L are the eigenvalues of the matrix A. I Definition 3: If the matrix A represents the linear transformation L with...
2. Consider a three-dimensional Universe. A vector of this space, starts from the origin of the coordinate system and has the tip described by the coordinates 1, 0, a) Write the matrix that describes a rotation of this three dimensional vector about the Oz axis by an angle of 45° Both the initial and the final coordinates have the same origin. b) Calculate the projections (of the tip) of this vector along the new axes of coordinates.
、 | | xo = 0 Xi = 2 x2 = 4 f(x) = 2 f(x1) = 6 f(x2) – 10 Consider the differential equation dy – Ax+ 4 where A is a constant. dx Let y = f(x) be the particular solution to the differential equation with the initial condition f(0) = 2. Euler's method, starting at x = 0) with a step size of 2, is used to approximate f(4). Steps from this approximation are shown in the...
3. Consider the multiple linear regression model iid where Xi, . . . ,Xp-1 ,i are observed covariate values for observation i, and Ei ~N(0,ơ2) (a) What is the interpretation of B1 in this model? (b) Write the matrix form of the model. Label the response vector, design matrix, coefficient vector, and error vector, and specify the dimensions and elements for each. (c) Write the likelihood, log-likelihood, and in matrix form. aB (d) Solve : 0 for β, the MLE...
#3 Only In the following 4, let V be a vector space, and assume B- [bi,..., bn^ is a basis for V. These 4 problems, taken together, give a complete argument that the coordinate mapping Фв : V → Rn defined by sending a vector v E V to its coordinate vector [v]в є Rn is an isomorphism between V and Rn. In other words, Фв : V-> Rn is a well- defined linear transformation that is one-to-one and onto....