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f(x)] \\gamma_l ( t, z, x) \\mu_l (dz ) , \\end{multline*} where $(E_l , {\\mathcal E}_l, \\mu_l ) , 1 \\le l \\le 3, $ are sigma-finite measurable spaces describing three di"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1712.03507","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-12-10T11:23:14Z","cross_cats_sorted":[],"title_canon_sha256":"4ffea003384fd0c6711a3d558370c31aa455a92e92fe0e70b452234c342efc42","abstract_canon_sha256":"b25e30576b3a5dd9b47c100cde50cc7add9430c0bf885ff463a30e317a34ee54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:01.814714Z","signature_b64":"3jzukpxjrzHIYTj33bRr9NNP4aMEGw68B+YbMR7vtY2coyNDtocEEkRlBNAPZQ3zZlLvDqvU057hVlbuEuAkBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54880b7ef81f0a23a3c69c5e3cc67b921c7e166ba84dce89288254121af37f2b","last_reissued_at":"2026-05-18T00:02:01.814173Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:01.814173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Convergence to equilibrium for time inhomogeneous jump diffusions with state dependent jump intensity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.PR","authors_text":"Eva L\\\"ocherbach","submitted_at":"2017-12-10T11:23:14Z","abstract_excerpt":"We consider a time inhomogeneous jump Markov process $X = (X_t)_t$ with state dependent jump intensity, taking values in $R^d . $ Its infinitesimal generator is given by \\begin{multline*} L_t f (x) = \\sum_{i=1}^d \\frac{\\partial f}{\\partial x_i } (x) b^i ( t,x) - 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