(7) Let V and U be vector spaces and W a subspace of V. Suppose T : V → U is a linear transformation with ker(T) = W and define T : V \W →U by T(v + W) := T(v). Prove T is an isomorphism from V \ W to Im(T), that is V \ ker(T) ~ Im(T). (In abstract algebra, this is known as the first isomorphism theorem!)
(7) Let V and U be vector spaces and W a subspace of V. Suppose T : V → U is a linear transformation with ker(T) = W and define T : V \W →U by T(v + W) := T(v). Prove T is an isomorphism from V \ W to Im(T), that is V \ ker(T) ~ Im(T). (In abstract algebra, this is known as the first isomorphism theorem!)
(7) Let V and U be vector spaces and W a subspace of V. Suppose T : V → U is a linear transformation with ker(T) = W and define T : V \W →U by T(v + W) := T(v). Prove T is an isomorphism from V \ W to Im(T), that is V \ ker(T) ~ Im(T). (In abstract algebra, this is known as the first isomorphism theorem!)
(7) Let ? and ? be vector spaces and ? a subspace of ? . Suppose ? : ? → ? is a linear ̃︀ ̃︀ transformation with ???(?) = ? and define ? : ? ∖ ? → ? by ?(? + ?) := ?(?). ̃︀ Prove ? is an isomorphism from ? ∖ ? to ??(?), that is ? ∖ ???(?) ≃ ??(?). (In abstract algebra, this is known as the first isomorphism theorem!)
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
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