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MATH
[1251]

Proofs from Kernel, image and rank

All proofs from Kernel, image and rank.

Linearity gives T(0)=0T(0)=0, so 0∈ker⁡(T)0\in\ker(T). If u1,u2∈ker⁡(T)u_1,u_2\in\ker(T), then

T(u1+u2)=T(u1)+T(u2)=0+0=0,T(u_1+u_2)=T(u_1)+T(u_2)=0+0=0,

so u1+u2∈ker⁡(T)u_1+u_2\in\ker(T). If u∈ker⁡(T)u\in\ker(T) and λ\lambda is a scalar, then

T(λu)=λT(u)=λ0=0,T(\lambda u)=\lambda T(u)=\lambda 0=0,

so λu∈ker⁡(T)\lambda u\in\ker(T). The subspace test now applies.

The image contains 00 because T(0)=0T(0)=0. If w1,w2∈im⁡(T)w_1,w_2\in\operatorname{im}(T), write w1=T(v1)w_1=T(v_1) and w2=T(v2)w_2=T(v_2). Then

w1+w2=T(v1)+T(v2)=T(v1+v2),w_1+w_2=T(v_1)+T(v_2)=T(v_1+v_2),

so w1+w2∈im⁡(T)w_1+w_2\in\operatorname{im}(T). If w=T(v)w=T(v), then

λw=λT(v)=T(λv),\lambda w=\lambda T(v)=T(\lambda v),

so λw∈im⁡(T)\lambda w\in\operatorname{im}(T). The subspace test now applies.