You’ve heard that two matrices multiply into another matrix, but with two 𝑡𝑒𝑛𝑠𝑜𝑟𝑠, two “matrices” can multiply to become a scalar.
Heck yes, this is a (short) thread on
𝑡𝑒𝑛𝑠𝑜𝑟𝑠
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(Ángel)μν Retweeted (Ángel)μν
At first, you *can* think of tensors as multi-dimensional arrays—-but there’s more to them than that. Here’s an earlier thread I wrote if you want to catch up!https://twitter.com/astroparticular/status/1154089773344030720?s=20 …
(Ángel)μν added,
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The µ’s and v’s indicate the indices of a tensor. You’ll notice that some indices are downstairs and some upstairs. This is because the lower indices are in the “dual-space.” These have the property of mapping a vector to ℝ. Don’t worry, we’ll come back to this.pic.twitter.com/NCUHNP2IjO
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In the same clip, we can categorize our tensors depending on how many indices are downstairs or upstairs. Rank = (down, up). The first contraction is between a rank (2, 0) tensor and a rank (0, 2) tensor. The second is between a rank (1, 0) tensor and a rank (0, 1) tensor.pic.twitter.com/vdMA7a5Ws5
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I love this .. you've GOT to let me know what you used my dude
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