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        "quote": "其中 $A$ 也是一个接近零矩阵的矩阵。我们将更详细地研究这种情形，并通过大量例子说明：如果 $\\pi(g)$ 是酉矩阵（即属于子群 $U(n)\\subset GL(n,\\mathbf{C})$），那么 $A$ 就是<u id=\"concept-1-skew-adjoint\" class=\"concept-term\" data-concept-id=\"concept-1-skew-adjoint\" data-concept-role=\"discussion\" data-concept-identity=\"urn:uuid:b4e48583-4b04-48fc-83d8-e77fc248bcb3\" data-concept-route=\"/concept-identities#concept-b4e48583-4b04-48fc-83d8-e77fc248bcb3\">斜伴随(skew-adjoint)</u>矩阵：",
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        "quote": "where $A$ is also a matrix, close to the zero matrix. We will study this situation in much more detail and work extensively with examples, showing in particular that if $\\pi ( g )$ is unitary (i.e. , in the subgroup $U ( n ) \\subset GL( n , \\mathbf { C } ) )$ ), then $A$ will be <u id=\"concept-1-skew-adjoint\" class=\"concept-term\" data-concept-id=\"concept-1-skew-adjoint\" data-concept-role=\"discussion\" data-concept-identity=\"urn:uuid:b4e48583-4b04-48fc-83d8-e77fc248bcb3\" data-concept-route=\"/concept-identities#concept-b4e48583-4b04-48fc-83d8-e77fc248bcb3\">skew-adjoint</u>:",
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        "quote": "In the real case, the matrix of the adjoint is the transpose. A linear transformation $L$ is [<span id=\"concept-4-self-adjoint-operator\" class=\"block-anchor\"></span><u class=\"concept-term\" data-concept-id=\"concept-4-self-adjoint-operator\" data-concept-role=\"definition\" data-concept-identity=\"urn:uuid:d5f9da17-e94f-479d-90f0-7732d12ee03a\" data-concept-route=\"/concept-identities#concept-d5f9da17-e94f-479d-90f0-7732d12ee03a\" id=\"first-6c95bef6a9cf492f405a-en\">self-adjoint</u>] if $L ^ { \\dagger } = L$, and [<u class=\"concept-term\" data-concept-id=\"concept-4-skew-adjoint-operator\" data-concept-role=\"definition\" data-concept-identity=\"urn:uuid:b4e48583-4b04-48fc-83d8-e77fc248bcb3\" data-concept-route=\"/concept-identities#concept-b4e48583-4b04-48fc-83d8-e77fc248bcb3\">skew-adjoint</u>] if $L ^ { \\dagger } = - L$.",
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        "quote": "so the matrices to be exponentiated must be [<u class=\"concept-term\" data-concept-reference=\"concepts/linear-algebra/skew-adjoint-matrix\" data-concept-identity=\"urn:uuid:b4e48583-4b04-48fc-83d8-e77fc248bcb3\" data-concept-route=\"/concept-identities#concept-b4e48583-4b04-48fc-83d8-e77fc248bcb3\">skew-adjoint</u>](../../../../../concepts/linear-algebra/skew-adjoint-matrix) (this can also be shown to be sufficient), satisfying",
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