What is the dimension of its kernel?

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Homework Help Overview

The discussion revolves around a linear map A from vector space V to vector space W, with given dimensions for both spaces. The original poster seeks to determine the dimension of the kernel of the linear map under the condition that A is onto.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of the map being onto and consider the relationship between the dimensions of the kernel and image. There is an attempt to apply the rank-nullity theorem to derive the dimension of the kernel.

Discussion Status

Some participants have offered insights regarding the rank-nullity theorem, while others are exploring the potential dimension of the kernel based on the dimensions of V and W. Multiple interpretations of the kernel's dimension are being discussed without reaching a consensus.

Contextual Notes

There is an assumption that the dimensions of the vector spaces V and W are known, but the specific values are not provided. The discussion also reflects on the implications of the linear map being onto.

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Homework Statement


Suppose that dim V = m and dim W = n with M>=n . If the linear map A : V -> W is onto, what is the dimension of its kernel?



Homework Equations





The Attempt at a Solution


Onto, means that every vector in W has at least one pre-image therefore, the kernel can have a maximum dimension of m?
 
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There is a property that you can use: dim(ker A) + dim(im A) = dim V. (see http://en.wikipedia.org/wiki/Kernel_(linear_operator )) The fact that A is onto W tells you something about dim(im A), the dimension of the image of A.
 
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ohhhhh is it m - n?
 


Very likely it is.
 

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