Can the Null Space of a Matrix Be the Same as Its Transpose?

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The null space of a matrix cannot be the same as that of its transpose if the matrix is not square, as the multiplication required to define the null space of the transpose is not possible. For a non-square matrix, the null space consists of vectors x such that Ax = 0, but ATx is undefined. Generally, the null spaces of a matrix and its transpose differ. However, if the matrix is symmetric, its null space will be the same as that of its transpose, since it is equal to its own transpose. Understanding these properties is crucial for grasping linear algebra concepts.
complexhuman
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hmmm...I have problems understanding this...how can the null space if a matrix(not necessarily a square) be the same as that of its transpose?

Thanks in advance
 
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If the matrix is not square, then this is impossible. The null space of a matrix A consists of vectors x such that Ax = 0. If A is not square, and Ax is defined (i.e. you are allowed to multiply A and x) then ATx is not even defined. I'm not sure what you're asking though. In general, the null space of a matrix is not the same if it as the null space of its transpose. However, certainly if the matrix is symmetric then its kernel is the same as the kernel of its transpose, since the matrix is its own transpose.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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