Use the recurrence exactly as printed. Set and . It gives
Repeated substitution yields a function of alone:
The empty sum is zero for . This is Landweber iteration with a Tikhonov initial value. In the singular system of a compact operator, , where . Thus
For every positive singular value, the finite geometric sum gives
Therefore the closed form of a Tikhonov-initialized Landweber iterate is
In the printed notation, means the coefficient ; its dependence on and is implicit. At , the formula reduces to , exactly the Tikhonov regularization initial value. At fixed , its apparent singularity at is removable:
Thus each fixed iterate is a bounded reconstruction operator and the series converges in norm.
The terminology in the question requires care. The printed recurrence is explicit Landweber iteration with step . Convergence of its nonzero modes requires ; a sufficient uniform step condition is
With exact compatible data and this condition, . At equality the largest singular-value mode can alternate, and smaller can produce growing modes. With noisy data, early stopping of Landweber iteration is needed to prevent recovery of arbitrarily unstable small-singular-value components.
Conventional Iterated Tikhonov regularization instead uses the implicit update
With the same Tikhonov regularization initial value its filter would be , not the filter derived above. The solution here retains the authoritative printed update rather than silently changing it.

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