Let be orthogonal to (1,-2,1)
That means, u.v = 0
Thus,
Thus, there are infinitely many solutions. If we let and , then
Thus, all vectors that are orthogonal to u is of the form where
DETAILS LARLINALG8 5.R.022. Determine all vectors that are orthogonal to u. (If the system has an...
DETAILS LARLINALG8 1.R.033. ASK YOUR TEACHER Solve the system using either Gaussian elimination with back-substitution or Gauss-Jordan elimination. (If there is no solution, enter NO SOLUTION. If the system has an infinite number of solutions, express x, y, and zin terms of the parameter t.) 2x + 3y + 32 3 6x + 6y + 127 = 13 12x + Oy -
DETAILS LARLINALG8 5.R.013. Consider the vector v = (2, 2, 6). Find u such that the following is true. (a) The vector u has the same direction as v and one-half its length. (b) The vector u has the direction opposite that of v and one-fourth its length. u (c) The vector u has the direction opposite that of v and twice its length. U=
help with 4 & 5 . -/1 points LarLinAlg8 1.1.060. My Notes Ask Your Te Use a software program or graphing utility to solve the system of linear equations. (If there is no solution, enter NO SOLUTION. If the system has an infinite number of solutions, express x, y, in terms of the parameter t.) 0.1x - 2.5y + 1.27 - 0.75W - 139.25 2.4x + 1.5y - 1.82 +0.25w -73.75 0.4x - 3.2y + 1.62 - 1.4w 1946 1.6x...
Show that (u, u2 ub) is an orthogonal basis for R Thon express as a inear of the u's Which of the following cniteria are necessary for a set of vectors to be an orthogonal basis for a subspace W of IR? Select all that apply A. The vectors must span W B. The vectors must all have a length of 1 D C. The distance between any pair of distinct vectors must be constant D. The vectors must form...
Determine all vectors v that are orthogonal to u = (9,-4.0). Ov =(81,97,t), where is any real numbers o v = (47.91,t), where is any real numbers v=(4t, 11t,s), where s and are any real numbers v=41,97,5), where s and are any real numbers Ov=(8t, 11t,s), where s and are any real numbers
In R. let V be the orthogonal complement of the vectors u and v, where u = (1,9, 3,61) and v= (4, 36, 13, 254) Find a basis B = {b1,b2} for V: b = 1 Now find five vectors in V such that no two of them are parallel e- LLL
-/2 POINTS LARLINALG8 6.1.001. Use the function to find the image of v and the preimage of w. T(V1, V2) = (v1 + V2, V1 - v2), v = (5, -6), w = (5, 11) (a) the image of v (b) the preimage of w (If the vector has an infinite number of solutions, give your answer in terms of the parameter t.) Need Help? Read It Talk to a Tutor Submit Answer Practice Another Version -/2 POINTS LARLINALG8 6.1.004....
roblem 1: Consider the set of all vectors in R1 which are mutually orthogonal to the vectors <3,4,-1,1> and (a) The first thing you need to do is determine the form of all vectors in this space. Hints on how to proceed You need vectors < a,b,c,d> with the property that <a,b,c,d> is orthogonal to <3,4,-1,1>and <a,b,c,d is orthogonal to <1,1,0,2>. There's a vector equation that defines "orthogonal" and this will set up two equations. .That means you have two...
DETAILS LARLINALG8 4.R.023. Determine whether W is a subspace of the vector space V. (Select all that apply.) W = {f: f(0) = -1}, V = C[-1, 1] W is a subspace of V. W is not a subspace of V because it is not closed under addition. W is not a subspace of V because it is not closed under scalar multiplication.
25. (-/23 Points] DETAILS LARLINALG8 6.1.501.XP.SBS. The linear transformation T: R – RM is defined by Tv) = Av, where A is as follows. 0 1 -6 1 -1 7 40 0 1 9 1 (a) Find T(0, 3, 2, 1). STEP 1: Use the definition of T to write a matrix equation for TO, 3, 2, 1). T10, 3, 2, 1) = and STEP 2: Use your result from Step 1 to solve for T(0, 3, 2, 1). Ti0,...