To show that the transformation T:R3βR2 defined by
T(x,y,z)=(2xβ4y+3z+b,6x+cxyz)
is linear if and only if b=0 and c=0, we must first recall the definition of a linear transformation. A transformation T:RnβRm is linear if it satisfies two properties for all vectors u,vβRn and all scalars Ξ±βR:
- Additivity: T(u+v)=T(u)+T(v).
- Homogeneity: T(Ξ±u)=Ξ±T(u).
Let's check if T satisfies these properties.
Additivity
Consider two arbitrary vectors (x1β,y1β,z1β) and (x2β,y2β,z2β) in R3. We compute T((x1β,y1β,z1β)+(x2β,y2β,z2β)) and compare it with T(x1β,y1β,z1β)+T(x2β,y2β,z2β).
T((x1β,y1β,z1β)+(x2β,y2β,z2β))=T(x1β+x2β,y1β+y2β,z1β+z2β)
=(2(x1β+x2β)β4(y1β+y2β)+3(z1β+z2β)+b,6(x1β+x2β)+c(x1β+x2β)(y1β+y2β)(z1β+z2β))
Expanding the terms:
=((2x1ββ4y1β+3z1β)+(2x2ββ4y2β+3z2β)+b,6x1β+6x2β+c(x1βy1βz1β+x1βy2βz2β+x2βy1βz2β+x2βy2βz1β))
On the other hand:
T(x1β,y1β,z1β)+T(x2β,y2β,z2β)=(2x1ββ4y1β+3z1β+b,6x1β+cx1βy1βz1β)+(2x2ββ4y2β+3z2β+b,6x2β+cx2βy2βz2β)
=((2x1ββ4y1β+3z1β)+(2x2ββ4y2β+3z2β)+2b,6x1β+6x2β+c(x1βy1βz1β+x2βy2βz2β))
For additivity to hold, the results must be identical:
- The first component will match if b=0.
- The second component will match if c(x1βy2βz2β+x2βy1βz1β+x2βy2βz1β+x1βy1βz2β)=0 for all (x1β,y1β,z1β) and (x2β,y2β,z2β). This requires c=0.
Homogeneity
Consider a scalar Ξ± and a vector (x,y,z). We compute T(Ξ±(x,y,z)) and compare it with Ξ±T(x,y,z).
T(Ξ±x,Ξ±y,Ξ±z)=(2Ξ±xβ4Ξ±y+3Ξ±z+b,6Ξ±x+c(Ξ±x)(Ξ±y)(Ξ±z))
This simplifies to:
=(Ξ±(2xβ4y+3z)+b,6Ξ±x+cΞ±3xyz)
On the other hand:
Ξ±T(x,y,z)=Ξ±(2xβ4y+3z+b,6x+cxyz)
=(Ξ±(2xβ4y+3z+b),6Ξ±x+Ξ±cxyz)
For homogeneity to hold, the results must be identical:
- The first component will match if b=0.
- The second component will match if c(Ξ±3βΞ±)xyz=0 for all Ξ± and (x,y,z). This requires c=0.
Conclusion
The transformation T is linear if and only if both b=0 and c=0.
Would you like more details on this topic or any other questions? Here are some related questions to consider:
- What is a linear transformation in general, and what are some examples?
- How do we determine if a function is linear?
- What are the properties of vector spaces related to linear transformations?
- Can we discuss the concept of linearity in the context of matrices?
- How does the rank of a transformation relate to its linearity?
Tip: Always test both additivity and homogeneity when checking for linearity.