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visits member for 3 years, 5 months
seen Sep 8 at 0:37

Sep
8
awarded  Curious
Sep
7
asked understanding discrete-time convolution
Sep
7
asked why use complex numbers when representing periodic signals?
Sep
7
accepted example of time invariant system and connection to memoryless
Sep
6
revised example of time invariant system and connection to memoryless
added 5 characters in body
Sep
6
accepted Proving properties of linear maps on one-dimensional vectors
Sep
6
comment connection between PCA and linear regression
can you relate your answer to @Eric Towers 's answer?
Sep
6
accepted connection between PCA and linear regression
Sep
6
asked example of time invariant system and connection to memoryless
Mar
16
comment Proving properties of linear maps on one-dimensional vectors
@GitGud: Ah, I get it
Mar
16
comment Proving properties of linear maps on one-dimensional vectors
Why do you need the Span condition at all? I also don't understand the second $\iff$
Mar
16
awarded  Commentator
Mar
16
comment Proving properties of linear maps on one-dimensional vectors
@GitGud: still don't follow how you get $Tv = av$? Is there a constructive way to derive that $a$ based on $T$ and the fact that the basis is one-dimensional?
Mar
16
comment Proving properties of linear maps on one-dimensional vectors
@GitGud: an obvious basis for $R^{n}$ is $((1,0,0,...,0),(0,1,0,...,0), ...)$ for $n$ lists (i.e. 0 in all places except the $n$th). You can assume any basis for $R^{n}$ that you'd like though; not sure how this affects the question?
Mar
16
revised Proving properties of linear maps on one-dimensional vectors
added 11 characters in body
Mar
16
comment Proving properties of linear maps on one-dimensional vectors
@GitGud: updated my question to answer this
Mar
16
asked Proving properties of linear maps on one-dimensional vectors
Mar
16
awarded  Promoter
Mar
16
accepted exponential population growth models using $e$?
Mar
15
comment How to define conditions under which linear maps are injective?
@Unwisdom: linear algebra describes solutions to linear equations though and in case of two equations, the solutions are where the two lines intersect, so the equations are definitively of form $f(x) = mx + b$. can you explain the connection between linear maps and this? Why bother with the special case of linear maps as opposed to linear functions? I think I am missing the relevance of linear maps