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What does $QAQ^{-1}$ actually mean? - Mathematics Stack Exchange 1 $\begingroup$ When one thinks of matrix products like that, it's helpful to remember that matrices, unlike vectors, have two sets of bases: one for the domain and one for the range Thinking of applying a vector on to the right, we get that the transformation "unrotates" the vector, applies the original transformation in the original basis
abstract algebra - Prove that 1+1=2 - Mathematics Stack Exchange The main reason that it takes so long to get to $1+1=2$ is that Principia Mathematica starts from almost nothing, and works its way up in very tiny, incremental steps The work of G Peano shows that it's not hard to produce a useful set of axioms that can prove 1+1=2 much more easily than Whitehead and Russell do
1 8, 1 4, 1 2, 3 4,7 8英寸分别是多少厘米? - 知乎 把1英寸分成8等分: 1 8 1 4 3 8 1 2 5 8 3 4 7 8 英寸。 This is an arithmetic sequence since there is a common difference between each term In this case, adding 18 to the previous term in the sequence gives the next term In other words, an=a1+d(n−1) Arithmetic Sequence: d=1 8
what is 1 - 1 2 + 1 3 - 1 4 + 1 5 - 1 6 + 1 7 - 1 8 +1 9 Stack Exchange Network Stack Exchange network consists of 183 Q A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers
Binomial expansion of $(1-x)^n$ - Mathematics Stack Exchange (1+a)^n This yields exactly the ordinary expansion Then, by substituting -x for a, we see that the solution is simply the ordinary binomial expansion with alternating signs, just as everyone else has suggested
How can 1+1=3 be possible? - Mathematics Stack Exchange Stack Exchange Network Stack Exchange network consists of 183 Q A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers
Given a 95% confidence interval why are we using 1. 96 and not 1. 64? in your Estimation of Population Mean meaning, that mean plus or minus 1 96 times its standard deviation gives 95% C I Errors distr estimation is considered to use t-distr with fatter tails than Normal distr , but with increasing size of sample errors distr can achieve the Normal Distr -- see t-tables z-tables in linked-pdf - there're