Tensor contraction is an operation that reduces the rank of a tensor by summing over one or more pairs of indices. This process effectively combines information from different dimensions of the tensor, resulting in a simpler tensor that retains key features of the original. It's a fundamental concept in tensor algebra and is essential for understanding how tensors interact with each other in various mathematical contexts.
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