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Linear Transformations on the Quotient Space 📂Linear Algebra

Linear Transformations on the Quotient Space

Definition 1

Let VV be a vector space and T:VVT : V \to V be a linear transformation. Let WVW \le V be a TT-invariant subspace. The linear transformation on quotient space T\overline{T} is defined as follows:

T:V/WV/Wv+WT(v)+W \begin{align*} \overline{T} : V/W &\to V/W \\ v + W &\mapsto T(v) + W \end{align*}

Here, V/WV/W is the quotient space.

Theorem

(a) T\overline{T} is well-defined.

(b) T\overline{T} is indeed a linear transformation.

(c) For the mapping to the quotient space η:VV/W\eta : V \to V/W, ηT=Tη\eta T = \overline{T} \eta holds. That is, the following diagram is commutative:

VTVηη V/WTV/W \begin{CD} V @>T>> V \\\ @VV \eta V @VV \eta V \\\ V/W @> \overline{T} >> V/W \end{CD}

Proof

(a)

It suffices to show that when v1+W=v2+Wv_{1} + W = v_{2} + W, then T(v1+W)=T(v2+W)\overline{T}(v_{1} + W) = \overline{T}(v_{2} + W) holds. Assume v1+W=v2+Wv_{1} + W = v_{2} + W. By the properties of cosets, this is equivalent to v1v2Wv_{1} - v_{2} \in W. Therefore, since WW is TT-invariant and TT is a linear transformation,

T(v1)T(v2)=T(v1v2)W T(v_{1}) - T(v_{2}) = T(v_{1} - v_{2}) \in W

Therefore, since T(v1)T(v2)W    T(v1)+W=T(v2)+WT(v_{1}) - T(v_{2}) \in W \iff T(v_{1}) + W = T(v_{2}) + W,

v1+W=v2+W    T(v1+W)=T(v2+W) v_{1} + W = v_{2} + W \implies \overline{T}(v_{1} + W) = \overline{T}(v_{2} + W)

(b)

Addition and scalar multiplication of cosets

(v1+W)+(v2+W)=(v1+v2)+W,v1,v2V (v_{1} + W) + (v_{2} + W) = (v_{1} + v_{2}) + W,\quad \forall v_{1}, v_{2} \in V

a(v+W)=av+WvV and aF a(v + W) = av + W\quad \forall v \in V \text{ and } a \in F

Since TT is a linear transformation,

T((av1+v2)+W)=T(av1+v2)+W=(aT(v1)+T(v2))+W=(aT(v1)+W)+(T(v2)+W)=a(T(v1)+W)+T(v2+W)=aT(v1+W)+T(v2+W) \begin{align*} \overline{T}\left( (av_{1} + v_{2}) + W \right) &= T(av_{1} + v_{2}) + W \\ &= \left( aT(v_{1}) + T(v_{2}) \right) + W \\ &= \left( aT(v_{1}) + W \right) + \left( T(v_{2}) + W \right) \\ &= a\left( T(v_{1}) + W \right) + \overline{T}(v_{2} + W) \\ &= a\overline{T}(v_{1} + W) + \overline{T}(v_{2} + W) \\ \end{align*}

(c)

It can easily be shown by definition.

η(T(v))=T(v)+W=T(v+W)=T(η(v)) \begin{align*} \eta\left( T(v) \right) &= T(v) + W \\ &= \overline{T}(v + W) \\ &= \overline{T}\left( \eta (v) \right) \end{align*}


  1. Stephen H. Friedberg, Linear Algebra (4th Edition, 2002), p325 ↩︎