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LeanPool.NavierStokesAndEuler.Euler.PacketCofactorOperator

A determinant-one three-dimensional matrix has a quadratic inverse. This realizes the cofactor as an actual bounded bilinear map; its estimates therefore require no derivatives or norm bounds for a separately given inverse.

@[reducible, inline]

End space: an abbreviation for Space →L[ℝ] Space.

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    @[instance_reducible]

    Cache the standard NormedAddCommGroup EndSpace instance to shorten typeclass synthesis.

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      @[instance_reducible]

      Cache the standard NormedSpaceEndSpace instance to shorten typeclass synthesis.

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        @[instance_reducible]

        Cache the standard NormedAddCommGroup (EndSpace →L[ℝ] EndSpace) instance to shorten typeclass synthesis.

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          @[instance_reducible]

          Cache the standard NormedSpace ℝ (EndSpace →L[ℝ] EndSpace) instance to shorten typeclass synthesis.

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            @[instance_reducible]

            Cache the standard NormedAddCommGroup (EndSpace →L[ℝ] EndSpace →L[ℝ] EndSpace) instance to shorten typeclass synthesis.

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              @[instance_reducible]

              Cache the standard NormedSpace ℝ (EndSpace →L[ℝ] EndSpace →L[ℝ] EndSpace) instance to shorten typeclass synthesis.

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                Row linear, bundling toFun, map_add, map_smul.

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                  Row operator, given by (rowLinear i).mkContinuous 1 (fun a => by simpa only [one_mul] using rowLinear_norm i a).

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                    Cofactor value, constructed using rowOperator.

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                      Cofactor linear, bundling toFun, map_add, map_smul, map_add and the required compatibility proofs.

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