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Mathematics · unit version 1

Real skew-adjoint geometry and complex structures

Construct real rotation planes, distinguish real and complex spectral statements, and prove when an inner product is compatible with multiplication by an imaginary unit.

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Readiness and preparation

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What does an adjoint measure?

Skew-adjointness is relative to a declared inner product, not only a matrix pattern.

Compare reasoning and find a refresher

The adjoint S* satisfies g(Sx,y)=g(x,S*y). For Gram matrix G over the reals, S*=G⁻¹SᵀG. Skew-adjoint means S*=−S.

Review adjoints and orthogonality

Which complex inner-product argument is linear here?

The sign in the induced complex inner product depends on this convention.

Compare reasoning and find a refresher

This course uses linearity in the first argument and conjugate linearity in the second. Hermitian symmetry means h(y,x)=conjugate(h(x,y)).

Review the complex inner-product convention

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Hidden planes, compatible metrics and canonical normalization

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Lesson sequence

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  1. Construct real rotation planes for a skew-adjoint map

    Lesson details and objectives

    Prove the real skew-adjoint block theorem by positive squares, then derive rotations, complex eigenvalues and real-coordinate limits.

    • Construct an invariant orthonormal plane from a positive eigenvalue of −S² and prove its orthogonal complement reduces S.
    • Prove the complete real rotation-block decomposition, including the kernel and odd-dimensional boundary.
    • Compute exponential motion and distinguish complex diagonalization from real orthogonal block form.

    6 practice tasks.

  2. Complex structures and compatible metrics

    Lesson details and objectives

    Turn a real square root of minus the identity into complex scalar multiplication, identify the compatible geometry, and normalize skew rotation blocks without hiding the kernel.

    • Prove the complex vector-space and Hermitian inner-product constructions with a fixed linear-first convention.
    • Construct compatible metrics and transform both the operator and its Gram matrix under changes of basis.
    • Normalize nonzero skew frequencies and prove the exact parity condition for extending across the kernel.

    6 practice tasks.