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Different Views of a Surface Use a computer algebra system to graph the
from each of the points (10.0, 0), (0, 0, 10), and (10, 10, 10)
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- Proof Let V be an inner product space. For a fixed vector v0 in V, define T:VR by T(v)=v,v0. Prove that T is a linear transformation.arrow_forwardCAPSTONE (a) Explain how to determine whether a function defines an inner product. (b) Let u and v be vectors in an inner product space V, such that v0. Explain how to find the orthogonal projection of u onto v.arrow_forwardMass-Spring System The mass in a mass-spring system see figure is pulled downward and then released, causing the system to oscillate according to x(t)=a1sint+a2cost where x is the displacement at time t,a1 and a2 are arbitrary constant, and is a fixed constant. Show that the set of all functions x(t) is a vector space.arrow_forward
- Guided Proof Prove that if u is orthogonal to v and w, then u is orthogonal to cv+dw for any scalars c and d. Getting Started: To prove that u is orthogonal to cv+dw, you need to show that the dot product of u and cv+dw is 0. i Rewrite the dot product of u and cv+dw as a linear combination of (uv) and (uw) using Properties 2 and 3 of Theorem 5.3. ii Use the fact that u is orthogonal to v and w, and the result of part i, to lead to the conclusion that u is orthogonal to cv+dw.arrow_forwardProof Complete the proof of the cancellation property of vector addition by justifying each step. Prove that if u, v, and w are vectors in a vector space V such that u+w=v+w, then u=v. u+w=v+wu+w+(w)=v+w+(w)a._u+(w+(w))=v+(w+(w))b._u+0=v+0c._ u=vd.arrow_forwardProof Use the concept of a fixed point of a linear transformation T:VV. A vector u is a fixed point when T(u)=u. (a) Prove that 0 is a fixed point of a liner transformation T:VV. (b) Prove that the set of fixed points of a linear transformation T:VV is a subspace of V. (c) Determine all fixed points of the linear transformation T:R2R2 represented by T(x,y)=(x,2y). (d) Determine all fixed points of the linear transformation T:R2R2 represented by T(x,y)=(y,x).arrow_forward
- Proof Let V and W be two subspaces of vector space U. (a) Prove that the set V+W={u:u=v+w,vVandwW} is a subspace of U. (b) Describe V+W when V and W are subspaces of U=R2: V={(x,0):xisarealnumber} and W={(0,y):yisarealnumber}.arrow_forwardIdentities Prove the following identities. Assume φ is a differentiablescalar-valued function and F and G are differentiable vectorfields, all defined on a region of ℝ3. ∇ x (F x G ) = (G ⋅ ∇) F - G (∇ ⋅ F) - (F ⋅ ∇)G + F (∇ ⋅ G)arrow_forward
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